Customer service agent jobs in United Kingdom

\n Our client is looking for a Customs Brokerage Agent to work nights.\n\n\n \n\n\n SUMMARY DESCRIPTION:\n\n\n Ensure timely and accurate movement of freight and information, while providing exceptional customer service.\n\n\n \n\n\n WHAT YOU DO:\n\n\n Tasks and Duties\n\n\n • Receive documents.\n\n\n • Prepare customs entries in Customsware or other customs software.\n\n\n • Understand the elements of the Import & export customs SOP.\n\n\n • Ensure accurate an...\n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n \n ZIPC1_UKTJ

We have an exciting opportunity for a freight forwarder who are expanding the team and looking for an Air Import Customer Operations Agent. \n \n The role is mainly Air Imports with some Road Imports advantage, Excellent Customer service skills, Strong written and verbal communication skills, Willingness to learn and adapt \n \n Main Responsibilities: \n UK and International freight, within pharmaceutical experience advantage. \n \n · To prepare and present quotes for mainly Air & some Road consignments. \n · To provide Customer Service Excellence for both verbal and written communications. \n · Complete assigned tasks within agreed timeframes. \n · Complete bookings and sales according to both Customer & client timescales. \n · To ensure data & security integrity of both Customer & client information is always controlled. \n · Co-ordinate with other offices & Groups. \n · Co-ordinate transport with both UK & Overseas approved strategic service partners. \n · To provide guidance on appropriate paperwork for customs clearance. \n · Prepare & co-ordinate all forms of freight documentation including airway bills, Shipping Certificates, Health Certificates, Import & Export Licenses, Customs Entry Documentation and any other supporting shipping documentation. \n · Prepare & complete Customs Control submissions for Imports \n · To work with all types of cargo and all necessary associated tasks. \n · To use company vehicles on occasion to deliver and collect paperwork and or shipments. \n · To undertake any training courses required to understand and complete job tasks. \n · To co-ordinate Group project tasks as and when directed. \n · Temperature control experience due to pharmaceutical \n \n Hours: Monday-Friday either 08:00-16:30 or 9.30am-6pm. \n \n \n \n · If you do not hear from us within 7 days, your application has been unsuccessful. \n \n

Fantastic professional company close to Heathrow are currently looking to recruit a Trainee Road Transport Agent to work in their busy team. Working on a 4on-4off Day Shift \n \n Job Description \n Learning to manage daily truck operations and the smooth flow of Ground Network Services shipments through the network. \n Training will be given in all areas, candidate needs to be happy to work 4/4 day shifts and have a passion to work in the Freight industry \n Duties and Responsibilities - Training given in the following \n · Ensure smooth and timely freight process flow \n · Ensure accurate and timely data entry into our operational system \n · Optimizing route planning and truck utilization \n · Interact with our customers (internal and external) in arranging their shipments, meeting customer service standards. \n · Contribute to and maintain a good relationship with suppliers \n · Meet compliance at all times to regulations internal and external in accordance with government regulations. \n · Understand department process flow, and looking for best practices to improve operational efficiency and productivity \n · Ensure all standard operating procedures in place \n · Meet KPI standards in accordance with the Company’s procedures \n · Timely communication \n · Escalation of problems to Management when necessary \n Salary c£26k plus a shift allowance plus amazing staff perks :) \n \n Please send your CV to Kellie Buckley \n \n • We are only able to accept applications from candidates with previous experience for this role. If you do not hear from us your application has been unsuccessful.

Our client close to Heathrow is looking for an Export Consol Operations agent \n Job summary \n \n The position is focused on building and operating the company Export Consol Program. By doing so improving our buying power and ultimately the profitability of the company. Alongside profitability we expect to improve and enhance the customer service provided to our customers. You will also be involved in the completion of customs clearances, quotes, arranging shipments and associated documents with focus on consolidation of shipments where possible, flight tracking, cost approval, invoicing, rate negotiation and any other functions as required. The individual should be prepared to be involved multi modal activities as required and provide support to the supervisor during holiday and absent periods from the office. \n \n Key Activities \n \n • Remain in contact with Partners, Airlines and other suppliers to maintain relationships \n • Cost control and rate negotiation \n • Manage and monitor airline bookings \n • Understanding and in some cases completion of end-to-end forwarding activities as the individual role requires \n • Focus on communications between office and warehouse \n • Focus on and improve processes and ultimately customer service \n • Follow strict and time sensitive SOP’s/KPI’s to ensure compliance \n • Work closely with internal and external customers \n • Use of CargoWise/MS office as requested \n • Ensure invoicing and job costing are updated within the required timeframe \n • Month end department compliance \n • Customs Entries and closing of MUCR’s \n • Assist Supervisors and line managers where required \n • Ensure all reports including internal and customer specific are completed within the deadline \n • Resolve queries from customers and suppliers \n • Ensure Best Practice models are adopted \n • Work closely with the line manager to complete Internal and external rates reviews. \n • Assist sales and management with consol development \n • Communicate between office and warehouse \n • Assist the warehouse team with the management of airline deliveries. \n • Operate within companies QA system \n • Always remain customs and H&S compliant \n • Any other tasks as directed by their Supervisor or line manager \n \n Technical Experience \n \n • Fully PC literate on excel and word applications \n • Educated to GCSE/O’ level standard or equivalent \n • Good Customs clearance knowledge \n • Good operational knowledge \n • A high level of customer service skills \n \n Behavioural Competencies \n \n • Problem solving skills \n • Procedure and SOP writing skills and ability to work within these. \n • Customer service driven \n • Result-oriented and driven to achieve goals and meet targets \n • Profitability and result-oriented and always looking for improvement in our business processes \n • Team oriented \n • Well organised \n • Quality focus \n • Good Knowledge of CargoWise \n • Knowledge of Customs Tariff and Procedures \n • Financial Awareness \n • Negotiation Skills \n • Willingness to work flexible hours as the business requires \n • Self-motivation and drive to succeed. \n \n The salary will be up to £38K depending on experience \n \n The hours will be circa 0900-17.30 \n \n Please send your CV to Kellie Buckley \n \n • We are only able to accept applications from candidates with previous experience for this role. \n If you do not hear from us your application has been unsuccessful. \n \n

An independent Heathrow forwarder, is looking for an Airfreight Operations Manager. \n Location - Heathrow Salary up to £60K \n Outline of the Role: \n You will take full ownership of the Heathrow operation: a small team of operators as well as a couple of general admin staff and drivers. This is a hands-on leadership role. You'll run the desk, set the standard and step in on live shipments whenever needed, not manage from a distance. \n The immediate priority is the operation itself: raising service standards, building a proactive customer-first culture and making the business ready to grow. Once that foundation is in place, you'll play a central part in driving growth, and hitting agreed milestones earns you equity in the business. \n Duties Include: \n\n • Lead day-to-day air export and import operations at Heathrow, working live shipments alongside the team\n, • Lift customer service standards and reset the culture of an established team — coaching, setting expectations and tackling under-performance\n, • Own service quality for high-value, time-critical and specialist cargo\n, • Manage airline, handling agent, customs and haulier relationships to secure capacity, rates and reliability\n, • Oversee the warehouse and small fleet, scheduling collections and deliveries efficiently\n, • Ensure compliance with security (RA/KC), customs and dangerous goods requirements\n, • Improve processes and systems so the operation can scale\n, • Help shape and deliver the growth plan once the operation is strengthened, including supporting client development\n\n What our client is looking for: \n\n • Strong, recent airfreight operations experience\n, • Solid working knowledge of both air export and import processes, airline booking, customs and security procedures\n, • Experience leading or supervising an operations team, with the confidence to raise standards and drive culture change\n, • Hands-on mentality: comfortable rolling up your sleeves on the busiest days\n, • Customer-first attitude and excellent communication skills\n, • Commercial awareness: you understand margin, cost control and what keeps clients loyal\n\n

Trainee Generalist Advice Caseworker \n This is an exciting opportunity for an experienced Helpline Adviser, Support Adviser or Customer Service Adviser to be fast tracked through the full Citizens Advice Generalist Adviser training programme within 5 months. \n Position: Trainee Generalist Advice Caseworker \n Location: Southwark \n Salary: £33,831 per annum (increasing to NJC Scale 6 - £36,867 to £39,100 per annum - after 5 months) \n Hours: Full-Time (35 hours per week) \n Contract: Initial Fixed Term five months trainee period - then permanent position as Generalist Advice Caseworker \n Closing date: 9.00 am Friday 30 October 2026. Interviews will take place on Wednesday 3 November 2026 \n About the Role \n You will be working on a range of different projects and services providing direct advice to the public and undertaking casework on social welfare law issues. Once assessed as having satisfactorily completed the initial six months training you will be issued with a new job description as a Generalist Advice Caseworker on a starting salary of £36,867 per annum. \n Key responsibilities include: \n\n • Provide high-quality advice, advocacy and representation to clients in line with quality standards.\n, • Manage client casework, including interviews, research, follow-ups, referrals and maintaining accurate, confidential case records.\n, • Deliver advice through face-to-face appointments, telephone, email, home visits and community outreach across Peckham, Walworth and surrounding areas.\n, • Keep up to date with relevant legislation, social policy, local developments and advice procedures.\n, • Complete required training and participate in ongoing professional development, supervision and appraisals.\n, • Identify emerging issues affecting clients and contribute to research, campaigns and initiatives aimed at influencing policy and improving services.\n, • Work collaboratively with colleagues, external agencies and local organisations to support clients and address community needs.\n, • Contribute to service planning, development and team meetings.\n, • Maintain accurate statistics, monitoring information and case records, producing reports as required.\n, • Undertake general administrative duties to support the effective delivery of advice services.\n\n About You \n We are looking for someone with experience of offering support and advice. You may have gained this experience in roles such as Helpline Adviser, Support Adviser or Customer Service Adviser \n You will have: \n\n • The ability to analyse and interpret complex information and be able to show how you would relay this in an understandable way.\n, • Effective written and verbal communication skills, due to a client facing role in a funder led environment.\n, • Numeracy skills to understand statistics and check calculations\n, • The ability to organise and prioritise your own work and take decisions within a pressurised environment.\n, • Knowledge of the type of social policy issues facing the local community and a commitment to influencing social policy.\n, • An understanding of the advice needs and issues in a diverse inner-city area.\n, • Skills to contribute to effective team working and development.\n, • Skills to take responsibility for own learning and development.\n, • Be able to use ICT in the provision of advice.\n, • Be able to work outside normal hours and at any site in Southwark as required.\n, • Understand, empathise and be committed to the aims, principles and equal opportunities policies of the organisation.\n\n About the Organisation \n Join a charity with a track record of delivering high-quality services from its offices in Peckham and Walworth and at outreach locations across Southwark and South East London. The team help to sort out problems together, for good, by providing free, independent, confidential and impartial advice across all areas of social welfare law, and through using the experience of clients to bring about positive change through research and campaigns. \n “Providing free, independent, confidential and impartial advice” \n The charity is an equal opportunities employer and encourages applications from all applicants who meet the person specification irrespective of sex, gender reassignment, marriage or civil partnership status, pregnancy and maternity, sexual orientation, race, religion or belief, age, or disability. \n Other roles you may have experience of include Welfare, Benefits, Housing, Welfare Advisor, Benefits Advisor, Housing Advisor, Welfare Officer, Benefits Officer, Housing Officer, Advice, Advisor, Caseworker, Advisor, Customer Service Officer, Customer Service Advisor, Customer Service Agent, Helpline, Helpline Advisor, Helpline Handler, Call Handler. \n Please note this role is advertised by the recruitment agency acting for the client, Not For Profit People. #INDNFP

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Get to Know Us Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. Platform Architect, Entrust Agentic TrustPosition SummaryThe Platform Architect, is accountable for maintaining architectural coherence across the Entrust Agentic Trust Layer and every Line of Business capability that supplies into it, ensuring independent teams and product lines operate within a common architecture and governance framework.Entrust’s operating doctrine for the Agentic Trust Layer is to complement the enterprise agentic control plane with trusted identity, security, evidence, and assurance capabilities. Our strategy is to architect a solution that brings together decades of Entrust expertise across both product and non-product domains, while actively shaping current and emerging industry standards to ensure they are fit for purpose for the agentic enterprise. By establishing a trusted foundation for AI-driven decision making and automation, Entrust enables organizations to realize the productivity, innovation, and growth benefits of AI with confidence, accountability, and governance.This role is accountable for defining and governing the four-plane reference architecture, Identity, Authority, Execution, and Assurance, as well as the composition model, trust-plane architecture, and dependency contracts that enable multiple product teams to operate as a unified, integrated trust layer. The mandate is to ensure cryptographic assurance, interoperability, scalability, and business agility across the platform while maintaining a cohesive architecture and operating model. The role also serves as a key industry representative, partnering with standards bodies and ecosystem stakeholders to help shape emerging standards for the agentic enterprise, with particular emphasis on agentic trust, digital identity,This role partners closely with executive leadership, product teams, engineering, security, and business stakeholders to ensure technology investments deliver measurable business value while maintaining scalability, security, and operational excellence. The Platform Architect is a named gate on every Entrust Agentic Trust Layer build trackKey ResponsibilitiesTrust-Layer Architecture LeadershipDefine and maintain the architecture strategy and roadmap for the four planes, and hold the reference architecture as the single normative source across product lines.Establish architectural principles, standards, patterns, and governance processes, including the Boundary Review process that arbitrates scope conflicts between Entrust Agentic Trust Layer and the Lines of Business.Own the Line of Business dependency contracts: interface definitions, service levels, versioning commitments, and internal transfer-pricing terms for each supplying primitive.Ensure technology investments align with business objectives and strategic priorities.Serve as design authority and technical gate on all Entrust Agentic Trust Layer build tracks, and as the arbiter of record when product, engineering, and Line of Business positions conflict.Agent Identity, Authority, & Evidence ArchitectureOwn the technical specification of the Agent Passport, including SPIFFE/SPIRE-based workload identity, SVID issuance and rotation, attestation of the issuing workload, and binding to Entrust CA roots and HSM-protected keys.Own the Permission Slip framework: HSM signing, the five binding elements, delegation chain semantics, revocation and expiry, and the Permission Slip Exchange for presentation across organizational boundaries. The term is always used in full and never shortened in specification or customer-facing material.Own the Evidence Ledger and Replay architecture: append-only, tamper-evident, independently verifiable records of authorization and action, with a replay capability that reconstructs an agent episode for an auditor without relying on the agent's own account of it.Own the Policy Engine, MCP Gateway, and Just-in-Time Authorization architecture across the Authority and Execution planes, including inline latency budgets, degradation modes, and explicit fail-open versus fail-closed policy per control point.Own the Continuous Authentication Engine architecture, including signal ingestion, session-risk evaluation, and the re-authorization path when confidence in a human principal or an agent's context degrades mid-session.Own Content Provenance architecture, including C2PA-aligned signing and verification of agent-generated artifacts, and its relationship to CSP Signing Services.Establish frameworks for responsible AI, model governance, explainability, and ethical use, and anchor them in the Assurance plane so that governance claims are evidenced rather than asserted.Partner with business leaders to identify and prioritize high-value agentic use cases.Ensure Entrust Agentic Trust Layer solutions are secure, compliant, scalable, and aligned with industry regulations and third-party assurance regimes.Technology InnovationChampion innovation through the evaluation and adoption of emerging technologies, with priority on agent identity, delegated authorization, verifiable data structures, confidential computing, and post-quantum readiness for long-lived evidence.Develop technology roadmaps supporting the agentic trust layer and competitive advantage.Guide investment decisions related to cloud platforms, cryptographic infrastructure, agent runtimes, and hyperscaler attach surfaces.Evaluate build-versus-buy decisions for Entrust Agentic Trust Layer capabilities, and serve as technical diligence lead on acquisition targets in agent authorization, secrets and non-human identity, and continuous authentication.Governance, Risk & SecurityPartner with cybersecurity teams to ensure architecture aligns with security and compliance requirements.Chair the Architecture Review Board and the Boundary Review forum, escalating unresolved scope conflicts to the Chief Operating Officer for arbitration.Ensure Entrust Agentic Trust Layer solutions comply with privacy, legal, regulatory, and ethical standards, including EU AI Act Article 50 transparency obligations, DORA operational resilience expectations, eIDAS and qualified trust service requirements, and FIPS 140-3 and Common Criteria assurance levels where in scope.Manage technology risks and provide recommendations to executive leadership, including a standing view of where the architecture is designed versus generally available.Leadership & CollaborationServe as a trusted advisor to executive leadership on technology strategy and emerging trends.Influence senior stakeholders across business and technology teams.Lead, mentor, and develop architects and senior technology professionals.Foster a culture of innovation, collaboration, continuous learning, and operational excellence.Represent Entrust in the standards and governance bodies that will define agentic trust, including the x402 Foundation, FIDO Alliance and AP2, OpenID Foundation, IETF working groups, and the Cloud Security Alliance, and convert standards positions into product architecture.Serve as the senior technical voice in analyst engagements, design-partner architecture sessions, and strategic customer reviews with regulated enterprises.Required QualificationsBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.15+ years of progressive technology leadership experience.7+ years leading enterprise architecture programs or platform and security architecture for identity, cryptography, or trust infrastructure products and large-scale technology transformations.Deep, applied expertise in cryptography and public key infrastructure: certificate authorities, key lifecycle and custody, hardware security modules, signing services, and hardware roots of trust.Working expertise in workload identity (SPIFFE/SPIRE, SVIDs, mutual TLS) and modern delegated authorization (OAuth 2.x, token exchange, externalized policy, PBAC and ABAC).Demonstrated experience designing tamper-evident or append-only verifiable systems: Merkle-backed logs, Certificate Transparency, transparency log constructs, or equivalent.Deep expertise in cloud platforms (Azure, AWS, or Google Cloud), including confidential computing and external or customer-managed key management.Experience shipping products under third-party assurance regimes (FIPS 140-3, Common Criteria, eIDAS, SOC 2, FedRAMP), where certification evidence is an engineering deliverable rather than a compliance afterthought.Proven ability to influence executive stakeholders and drive strategic decisions.Experience leading cross-functional teams in complex global organizations.Preferred QualificationsMaster's degree in Computer Science, Engineering, Data Science, Business, or related field.Experience deploying Generative AI and Large Language Model (LLM) solutions at enterprise scale, and securing them in production.Knowledge of agentic AI architectures, AI orchestration frameworks, the Model Context Protocol (MCP), agent-to-agent interoperability, and agentic payment and delegated-mandate rails including x402 and AP2.Familiarity with the competitive control-plane landscape, including Microsoft Entra Agent ID and Agent 365, Google's SPIFFE-based agent identity work, AWS Bedrock AgentCore, and Okta cross-app access, and the ability to articulate where Entrust attaches rather than competes.AI, cloud, cybersecurity, or enterprise architecture certifications.Experience in highly regulated industries, particularly financial services and insurance, where agentic delegation carries direct fiduciary and supervisory consequences.Contribution or maintainer standing in open trust-infrastructure communities such as SPIFFE/SPIRE, Sigstore, or Certificate TranspareAt Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team: Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority. Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle. Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow. We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves. Ready to Make an Impact? If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together. Apply today! For more information, visit . Follow us on, LinkedIn, Facebook, Instagram, and YouTubeCompensation Range:The anticipated starting base pay for this position is: $251,672-$369,119 per year (in the primary posting location). Actual compensation will be determined based on geographic location, education, skills and experience. This position is also eligible for the company’s discretionary annual incentive plan. In addition to your pay, Entrust offers eligible colleagues and their dependents comprehensive health and well-being programs which include medical, vision, dental, a generous 401(k) matching contribution, life and disability insurance, mental health coaching, virtual fitness programs, paid personal time off plus 12 paid holidays, parental leave and education reimbursement. Please speak with the recruiter for more details. Note: Benefit and Compensation programs are subject to eligibility requirements and other terms of the applicable plan or program. Entrust has the right to end, suspend or amend any of its plans at any time in whole or in part.For US roles, or where applicable:Entrust is an EEO/AA/Disabled/Veterans EmployerFor Canadian roles, or where applicable:Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.If you require an accommodation, contact accessibility@entrust.com.Recruiter:Steve DonahueSteve.Donahue@entrust.comSummaryLocation: United States - Field; United Kingdom - FieldType: Full time

This position is part of the AWS Specialist and Partner Organization (ASP), where Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Together, they provide customers with the expertise and scale needed to build innovative solutions for their most complex challenges.AWS is seeking an Executive AI Strategist to serve as a trusted AI advisor to executives at EMEA's largest enterprise brands to help them transform their businesses using Amazon Connect's family of agentic applications. This individual will lead AI Strategy and Business Development activities across EMEA, demonstrating strong ownership and initiative as they collaborate with stakeholders to scale GTM outcomes across the region. Amazon Connect Customer works backward from the needs of customers to provide a broad array of AI customer experience services. These services deliver personalized experiences across a variety of channels (voice, email, chat, IVR), utilizing flexible access to data and applications to deliver exceptional customer and agent experiences.The Executive AI Strategist will define, execute, and own business development strategies that drive adoption and revenue of Amazon Connect within its most strategic customers across EMEA. You will be responsible for building and owning key programs and initiatives that accelerate customers’ ability to deliver transformational business outcomes with AI through Amazon Connect. You will use data, customer insights, and business acumen to navigate complex customer engagements and orchestrate cross-functional stakeholders to achieve common goals.Key job responsibilities• Build trusted relationships with C-suite executives and business leaders within the largest EMEA enterprise brands• Develop, execute, and own GTM and sales strategies focused on AI in customer experience to grow adoption of Amazon Connect and AWS Applied AI Solutions• Drive alignment across diverse stakeholders including specialist sales, product, solution architecture, customer success, marketing, and the AWS field to orchestrate Connect GTM and strategic pursuits• Capture customer insight to influence product roadmap for Amazon Connect Customer and AWS Applied AI Solutions• Create scalable programs and best practices to unblock challenges and drive growth• Serve as an Amazon Connect AI subject matter expert supporting broader internal teams• Lead cross-functional initiatives that improve Amazon Connect’s GTM capabilities, operational excellence, and business rhythmsA day in the lifeYou’ll dive deep into Amazon Connect adoption data, market trends, and customer insights to identify growth opportunities, then translate those insights into actionable GTM strategies. You will develop and execute GTM and sales strategies within strategic Amazon Connect customers and prospects. You will earn trust with customer C-suite executives as a thought leader in AI Customer Experience.Your day involves collaborating with both internal stakeholders—sales leaders, product teams, solution architects, customer success, marketing, and partner, etc, and external stakeholders — enterprise C-Suite executives, line-of-business VPs, procurement, and finance – to drive cross-functional alignment that delivers customer outcomes with Amazon Connect’s AI capabilities.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Basic qualifications- Experience developing strategies that influence leadership decisions at the organizational level- 10+ years of customer-facing leadership experience with Business Application Technologies, including Customer Experience, Artificial Intelligence (AI), CRM, Analytics, Data Applications, Contact Center-as-a-Service, and/or Communications Services- 10+ years of Go-To-Market, Business Development, Sales, or Product Leadership experiencePreferred qualification - Experience as a founder or executive focused on related segments, or as a practice leader or business unit owner- Experience negotiating complex deals with customers and partners or equivalent- Experience working with new product/service development teams and their outbound functions- Experience relationship building or leading business transformation at the C-level of Fortune 500 or FTSE 100 organizations- Fluency with enterprise AI use cases in Customer Experience, Sales, Service, and/or MarketingAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.What's the opportunity? Principal Engineers at Fin have the opportunity to lead the definition and execution of key strategic initiatives.You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership.Learn more about our engineering culture at intercom.engineeringWhat will I be doing? As an experienced engineer you will:Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects.Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation.Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they.Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight.Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work.Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.Play an active role in hiring, mentoring and career development of other engineersRaise the bar for technical standards, performance, reliability, and operational excellenceWhat skills do I need? Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve createdSignificant, demonstrated impact that your work has had on the product and/or the teamsDeep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)You will have experience with Distributed systems2+ years of experience as the primary technical leader for a teamExperience collaborating directly with technical leaders, product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

This job is with Wise, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about and . At Wise, we're on a mission to build money without borders — instant, convenient, transparent, and eventually free. For businesses, that journey begins with verification (KYC), and getting it right is one of the highest-leverage things we do: every business we verify smoothly gets faster access to the financial services they need to grow, and every decision we make well keeps the financial system safer for everyone who relies on it — a small business getting paid on time, a migrant worker sending money home, a nonprofit moving funds across borders. There's a less visible side of this too: money launderers, fraudsters, sanctioned entities and organised crime networks actively try to exploit these same rails, and the harm they cause lands hardest on the people with the fewest defences against it. Getting Business KYC right is how we keep the door open for the first group and quietly close it on the second — and in this role, you'll be directly shaping that, globally. We're looking for an Engineering Lead to manage the Platform team within the Business Onboarding Verification (BOV) organisation — based in London. This team owns the platform rails that Business verification is built on; the sister team (BOV Global) uses those rails to ship customer-facing journeys and agent tooling. There are three organisations in the wider squad — Business Onboarding Verification, Personal Onboarding Verification, and Wise Platform Verification. The scale we operate at In FY2025, 15.6M people and businesses used Wise; we onboarded over 5.9M new customers (~500K/month) and moved £145B across borders (~£400M/day) across 160+ countries and 40+ currencies. Our onboarding decisions gate ~£25B/year in cross-currency volume. Verification is on the critical path for every new signup and for ~10 product teams across Wise that build on our rails today. Our verification systems are not supporting tools — they are core production infrastructure that protects customers, enables growth, and must stay reliable under constant change in regulations, policies and evolving threat patterns. The team you'll lead - Verification Platform You will lead the Verification Platform (under BOV) team in London — a cross-functional engineering team whose mission is to provide the BOV platform (Onboarding Platform for business, requirement evaluation, collection, review, unified vendor integrations, repapering rails) that lets BoV Global and regional teams iterate safely and quickly on business verification without rebuilding plumbing. Concretely, this team owns three work-streams: Onboarding Platform (for business) — modelling Business requirements as configuration-as-a-service, per legal-entity type (Ltd, LLC, Sole Trader, Partnership, Corp), with versioned rules and repapering / refresh rails so a policy change is a config choice, not a multi-quarter project. Review tooling platform — the review surface on which Global (and regional teams) build their review flows; the foundation that makes AI-assisted review and review automation measurable and safe to roll out. Unified Vendor Integrations — one observable, retryable, swappable gateway for registry, adverse media, website signal, Acceptable Use Policy and Business Onboarding data vendors, replacing today's point-to-point integrations. Your mission As the Engineering Lead for BOV Platform, you will: Lead, coach and mentor a cross-functional team of engineers — supporting their growth, well-being and performance, and empowering them to do their best work. Own the technical roadmap for the BOV platform — make sure it addresses real reliability, security and scalability concerns of the Business verification stack. Partner deeply with BOV Global, Personal Onboarding, Wise Platform Verification and Mitigation Handling so the platform serves real product needs — not what the platform team thinks the platform should be. Be an active contributor to delivery. Support day-to-day execution, get hands-on when the team absolutely needs it, and stay in touch with the technology stack — leading by example. Own the health and productivity of the team, fostering a culture of ownership, transparency, bottom-up decision-making, collaboration and continuous improvement — the way Wise engineering works. Own operational excellence. Ensure appropriate on-call rotas, SLAs, documentation and observability for platform services; run incidents in your area of ownership and turn each into a durable fix. Collaborate globally with engineering leads across Global KYC and Onboarding (London, Tallinn, Budapest and Hyderabad) and the wider Wise engineering community. Run the engineering rituals of the team so we stay agile and predictable in product development. Why this is an exciting problem Picture a pharmaceutical company incorporated in Singapore, with one shareholder living in Dubai, trading in the UK and Singapore. In one signup, that business touches at least four regulatory perimeters — Singapore, UK, UAE for the shareholder, plus industry-specific controls for pharma (enhanced due diligence, sanctions, source-of-funds). Our job is to work out — in real time — exactly what each regulator needs, verify it against the right sources, and hand the customer a signup that feels effortless. Now scale that across 160+ countries and the millions of businesses we have. BOV Platform is building the framework that makes this possible without a new (or at most minimal) codebase per market, and the interesting problems stack up: Configuration-driven, versioned rules at scale. How do we express "what KYC do we need for entity type × country × industry × partner × risk tier?" as data — hot-reloadable, auditable, and safe to change weekly — while giving regulators a clean audit trail of which version passed which customer? Distributed decisioning under real-world latency. A single verification decision fans out to 10+ internal services and external vendors (registry lookups, sanctions, PEP, document verification, ML models). Sagas, idempotency, timeouts, and graceful degradation all matter — because "we couldn't reach the sanctions provider" isn't an acceptable customer experience. Consistency vs. availability on the KYC decision path. The same customer hits us from web, mobile and partner APIs concurrently. Where is strong consistency non-negotiable (a compliance-gated transfer) vs. eventual consistency fine (background re-screening)? How do we avoid decision drift across regions and entities? Event-driven re-evaluation and repapering. Rules change; a country updates its policy; a customer's risk profile shifts. How do we re-decide retroactively across millions of customers without stampeding downstream systems or ops queues? ML/AI in the loop — safely. Where does automation genuinely help (document classification, risk scoring, agent copilots), where does it not, and how do we ship it with safe fallbacks, clear observability and a human review path that doesn't become the bottleneck? That's the problem your team will help solve — with real regulatory teeth, real customer impact, and enough platform surface area to keep senior engineers engaged for years. Qualifications A bit about you You have proven experience leading and mentoring software engineers, including managing performance, well-being and growth, and handling difficult situations constructively (360 feedback, calibration, performance reviews). You have built and led platform / infrastructure teams whose customers are other engineering teams — you know how to say no, how to prioritise for leverage, and how to keep a platform from turning into a bespoke-request queue. You have solid Java (17+) knowledge and hands-on experience with Spring / Spring Boot, and you're happy to stay hands-on when the team needs it. You have strong system-design skills with real experience of distributed, high-throughput, resilient services — event-driven architectures, sagas, idempotency, orchestration vs. choreography trade-offs. You have experience working with relational and non-relational databases, query optimisation and schema design. You have led the design and delivery of complex engineering solutions and understand their broader impact on business outcomes — including trade-offs between short-term product wins and long-term platform health. You approach challenges with a strong product and customer mindset, prioritise customer needs (both external customers and the internal teams you serve), and make data-driven decisions. You have excellent communication skills — you can articulate complex technical concepts to technical and non-technical audiences, and are comfortable working across geographies and time zones. You show strong ownership and accountability, are able to operate beyond a purely technical scope, and act as an enabler for the extended team. What you can expect as an Engineering Lead at Wise We don't measure seniority by years of experience, but by the impact you create and the complexity of problems you help solve. You will experience leading a product engineering team first-hand — one of Wise's unique strengths. As an EL1 at Wise, you will: Lead a cross-functional platform team, with a clear scale-up path as BOV Platform's remit grows (requirements, review platform, vendor gateway, repapering). Own the technical roadmap and vision for your team and contribute to the product roadmap and vision for BOV. Propose ideas to improve and grow the BOV platform; work with stakeholders (BOV Global, Personal Onboarding, Wise Platform, Mitigation Handling, Risk & Compliance) to build conviction to unblock opportunities. Build strong relationships with the sister BOV Global crew and with the wider Global KYC and Onboarding squad across London, Tallinn, Budapest and Hyderabad. Embrace long-term ownership of projects while training other engineers to reduce single points of failure; identify gaps and plan ahead for hiring. Be active in architecting and designing services that allow for iterative delivery and future scaling — through feedback and reviews. Get hands-on when the team absolutely needs it, to stay in touch with the technology stack. Collaborate closely with product, analytics, compliance and operations to ensure smooth and effective delivery. Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit _. Keep up to date with life at Wise by following us on and .

Kraken Technologies is hiring for the Autonomous Agents team to build AI-powered customer service for the energy industry. You will join a cross-functional group of engineers, product and ML specialists, collaborating with Kraken platform teams to deploy scalable AI solutions. You’ll develop reusable components and integrations between Kraken, MCP interfaces and AI agent setups, using Python on the Kraken side and TypeScript on the agent side, with a focus on safety, observability and #J-18808-Ljbffr

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It’s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. AI is a key investment area for Kraken Technologies. You’ll join Autonomous Agents, the team building AI-powered customer service for the energy industry. We connect conversational AI to Kraken’s customer platform so agents can do more than answer questions: they can use account information and approved tools to resolve real customer needs, like understanding a bill or submitting a meter reading, and hand over to a person, with full context, when it matters. We’re launching autonomous agents with our utilities clients and the demand is growing quickly. The team is moving from initial trials to long-term production use, and we’re scaling from client-specific builds to a reusable product that can serve many clients. We’re growing the team to make that happen. You’ll join a cross-functional team of around 10 engineers, alongside product and machine learning specialists, working closely with Kraken platform teams. The work spans two connected areas, and you’ll contribute to both: • Build: the reusable core of the product. This covers client-agnostic agent journeys and tooling, MCP interfaces into Kraken, email, messaging and voice capabilities, and the observability, feature toggles and guardrails that let us roll out safely., • Implementation: taking that core to individual clients. You’ll work with client teams to understand their customer journeys, configure and extend what we’ve built, and feed what you learn back into the shared product., • Connect the dots: Investigate customer support queries, get to grips with regulatory and business processes, and turn them into clear technical plans., • Bring agents to life: Build integrations between Kraken, Model Context Protocol (MCP) interfaces and our AI agent setup, using Python on the Kraken side and TypeScript on the agent side., • Build once, reuse everywhere: Spot patterns across customer journeys and client needs, and turn them into reusable, client-agnostic components rather than one-off fixes., • Make it safe and reliable: Build authentication, permissions, validation and human handoff into the design, and help us test and monitor behaviour that is less predictable than traditional software., • Roll out with confidence: Ship features behind toggles, tested and documented, so they can be introduced gradually across clients and teams., • Work with clients and teammates: Take part in client conversations, explain technical details clearly, document decisions and keep your commitments on track., • Operate what you build: Contribute to dashboards, monitoring and runbooks so the services you ship are observable and supportable in production., • Solid software engineering: You have shipped and supported production software, and you’re comfortable with testing, code review and working in a team codebase., • Python and TypeScript: You write clean, maintainable code in both and are happy moving between tools and environments., • Problem-first thinking: You take time to understand the problem before jumping to the first solution., • Curiosity about AI: You’re interested in LLMs, autonomous agents and MCP, and in how to give agents the right context and tools. Hands-on experience is great, but you don’t need to have all the answers., • Customer and client awareness: You’re comfortable talking to non-engineers, asking good questions and translating messy real-world processes into software., • Reliable delivery: You’re organised, write clear documentation and follow through on what you take on., • Learning agility: You welcome feedback, ask questions when things are ambiguous and enjoy learning alongside others in a field that changes fast., • Delivery: You ship well-scoped features and integrations that make it into production and are used by real clients., • Reusability: Your work strengthens the shared product, so the next client is easier to onboard than the last., • Trust: Agents you help build behave safely, resolve customer needs correctly and hand over to people when they should., • Growth: You take on increasing ownership and become a go-to person for part of the platform., • AI engineering: Building with LLMs, agent frameworks or MCP servers, • Conversational AI: Experience with customer service automation, voice or messaging channels, • Evals and monitoring: Testing, evaluating or monitoring non-deterministic systems, • Backend: Django, • Observability: Datadog, Sentry, • Client-facing experience: Working directly with customers or partners on technical delivery Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at . We’ll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we’re lookin #J-18808-Ljbffr

Pear recruitment - Land Consultant Location - Sidcup Salary - £22,000 - £25,000, OTE 1st YEAR £35,000 - £40,000 2nd year £50,000-£60,000 Working Hours - 5 days - Monday to Friday 8.30am - 6pm Saturdays 8.45am - 3pm We have an amazing opportunity for a Land Negotiator to join an independent property agent in their fantastic office based in Sidcup. This is an office-based role, working alongside an ambitious and driven team. In this position you will be responsible for proactively identifying potential development sites, researching land opportunities, and creating new opportunities for the business. Your day-to-day responsibilities will include searching for potential development sites, researching landowners, making outbound calls to landowners, building relationships, and maintaining accurate records of opportunities. You will also be responsible for general administration, updating Excel spreadsheets and databases, and keeping information organised and up to date. Our client will consider both Junior and experienced candidates for this role. Previous experience in recruitment, sales, estate agency, land acquisition, resourcing, telesales or a similar proactive role would be beneficial, although enthusiasm, confidence and the right attitude are equally important. The successful candidate will be enthusiastic, energetic, proactive and personable, with excellent communication and customer service skills. You will be confident speaking to people over the phone, comfortable carrying out research, and able to identify and create new opportunities. If this is you, we would love to hear from you! Duties Proactively search for potential land and development sites. Research properties, sites and potential opportunities. Identify and contact landowners by telephone. Build and maintain professional relationships with landowners. Generate and develop new opportunities for the business. Make outbound calls and confidently communicate with prospective contacts. Maintain accurate records of leads, contacts and opportunities. Update and manage Excel spreadsheets and internal databases. Carry out general administration and ensure information is kept up to date. Work closely with the wider team to identify and progress potential opportunities. Requirements: Driven to succeed. Able to work independently to reach targets. Excellent communication skills both verbal and written. Well organised with an attention to detail. Excel and general administration skills Able to build rapport and the ability to maintain professional relationships with different demographics and age groups. If you are interested in this Land Consultant position and would like to know more, please email your CV or telephone us on a strictly private and confidential basis. Recommend a friend • Do you know someone looking for a position? If you recommend them to us, we have a fantastic referral fee to offer! Please contact us for more information. Due to the number of responses we receive to our advertisements we are unfortunately unable to respond individually to each applicant. If you do not hear from us within 7 days, you may assume you have not been selected this time - but please apply for anything you feel you are suitable for and thank you for your interest in PEAR Recruitment. Confidentiality – All communication with us is treated with the upmost confidentiality and you will always be advised if your CV is being submitted to a client. TPBN1_UKTJ

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. As a Staff Backend Engineer, you'll take technical ownership of complex business domains, designing, building, and evolving scalable, reliable backend services for our enterprise spend management platform. Designing and operating distributed systems, event-driven architectures, and cloud-native services. Applying Domain-Driven Design (DDD) to model complex business domains and define clear service boundaries. Building maintainable systems following Clean Architecture, Hexagonal Architecture, and similar architectural principles. Designing APIs, service integrations, and reliable asynchronous workflows using technologies such as Temporal. Designing secure authentication and authorization solutions, applying standards such as OAuth 2.0, OIDC, and WebAuthn, as well as fine-grained authorization models. Ensuring scalability, security, observability, and resilience in production. Continuously improving shared libraries, project structure, development tooling, and automated quality assurance practices to promote consistency, reusability, and maintainability across services. Driving architectural decisions, evaluating trade-offs, and mentoring other engineers. Leveraging AI extensively but responsibly, including developing guardrails, agent harnesses, and tooling to maintain engineering quality in a fast-paced environment. We primarily use Node.js with TypeScript, but strong engineering fundamentals matter more to us than experience with a particular language. Our technology stack also includes Temporal, SpiceDB, PostgreSQL, Kafka, and Redis. This is a 80/20 hands-on technical leadership role, combining deep engineering work with architectural ownership and influence across teams. Remote, but travel to Amsterdam or other offsite meetings in Europe might occasionally be requested. Lead by example and raise the bar with pragmatism and care. Communicate clearly, listen well, and bring people along in decisions. Enjoy breaking down complex problems, gathering input, and driving to a solution. Coach others and create space for people to grow. Prefer progress over perfection, while still caring deeply about quality. Your own Pleo card (no more out-of-pocket spending!) Lunch is on us - with catering in our Lisbon, Copenhagen and London offices or a monthly lunch allowance paid directly together with your salary in other markets Private health insurance to ensure you’re fit in body and mind to do your best work Wellbeing days - fully paid days off designed for a slower pace, allowing you to take time to recharge and prioritise self-care We provide access to MyndUp to give our employees access to free mental health and wellbeing support with great success so far Access to LinkedIn Learning - acquire new skills, stay abreast of industry trends and fuel your personal and professional development continuously Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email . We’ll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy here. Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit. #J-18808-Ljbffr

Reporting to the Head of Engineering, this senior role leads the operational management, service design, governance and delivery of Chaucer’s Cloud Microsoft 365 intelligent services function. It shapes the overall direction and evolution of M365 services and is accountable for the Power Platform estate, Microsoft Copilot, Copilot Studio, the company Standard Operating Environment (SOE), and the reliable delivery and continuous improvement of M365 platform services. The role requires a service-focused technology leader who combines M365 platform ownership, service design, operational control, engineering oversight and stakeholder engagement. It leads the development of M365 intelligent services, standards, patterns [DC1.1][SC1.2]and roadmaps within the M365 platform domain, working in partnership with the Architecture team to ensure alignment with enterprise direction. The role ensures M365 services are secure, resilient, compliant, supportable and aligned to business priorities while enabling responsible automation, low-code development and AI-assisted ways of working. The role leads internal and third-party resources and provides senior M365 platform design leadership. It works closely with the Architecture team for enterprise design assurance and with the M365 Collaboration & Productivity team, responsible for SharePoint and core M365 productivity tools, to ensure shared standards, service boundaries, roadmaps and dependent changes deliver a coherent end-to-end M365 experience. It also works closely with the Integration, Data and Azure Cloud Operations teams where M365 services depend on enterprise APIs, orchestration services, data platforms or Azure AI capabilities. • Own the M365 service architecture, M365 cloud operations roadmap and service plan, aligning platform direction and priorities to business demand, agreed enterprise architecture, security requirements, technology strategy and the wider CTG operating model., • Provide end-to-end service ownership for the Power Platform estate, including Power Apps, Power Automate, Power Pages and Dataverse, covering governance, administration, environment strategy, lifecycle management, support and operational assurance., • Own the operational platform and service management [DC2.1][SC2.2]of Microsoft Copilot and Copilot Studio, including readiness, controlled adoption, licence and capacity oversight, support, monitoring and continuous improvement., • Lead the delivery, transition and operational acceptance of new or changed M365 cloud services, ensuring requirements, controls, support models, documentation and ownership are established before go-live., • Lead M365 platform design and establish service patterns, guardrails, standards and decision frameworks[DC3.1][SC3.2], seeking Architecture team assurance for material or cross-enterprise decisions., • Define the Power Platform environment, data, connector, solution and application lifecycle management approach, including appropriate separation of development, test and production services., • Ensure Copilot and low-code capabilities are introduced responsibly, with controls for identity, data access, privacy, information protection, records management, auditability and human oversight., • Provide operational leadership as an escalation point for incidents, problems[DC4.1][SC4.2], service risks, capacity constraints, platform health and technical debt across the owned services., • Drive automation, standardisation and self-service where these improve employee experience, operational efficiency and control effectiveness., • Act as the senior platform adviser and escalation point for M365 services, shaping service design and bringing material architecture decisions through the appropriate assurance forums., • Attend change, risk, service and technology governance forums [DC5.1][SC5.2]as required to provide assurance on service health, delivery, adoption, risk and business value., • Shape the M365-side integration and orchestration approach for business processes that span Power Platform, Copilot, enterprise applications and shared data services, working with the Integration and Architecture teams on cross-enterprise patterns and assurance., • Coordinate the use of Azure AI capabilities that extend M365 and Copilot services, ensuring clear ownership, support boundaries, security controls and operational readiness with the Azure, Data and AI platform teams. Demonstrates a high level of self-awareness through a commitment to continuous personal improvement and learning. Translates organisational vision into clear M365 service designs, platform choices, roadmaps, measurable goals and delivery priorities. Provides leadership and direction to M365 cloud operations, M365 platform configuration, [DC6.1][SC6.2]administration and support resources, including third parties. Creates an inclusive, accountable and service-oriented culture focused on reliable delivery, engineering discipline, customer experience and continuous improvement. Anticipates changes across the Microsoft cloud roadmap and assesses their implications for service design, security, operations, licensing, adoption, skills and business value. Balances pace of adoption with resilience, cost, risk, supportability and platform sustainability. Builds strong partnerships across Security, Architecture, Data, Service Management, End User Computing, Product, TMO/Change[DC7.1][SC7.2] and business teams. Motivates the team to deliver high-quality services and takes accountability for operational outcomes and decisions. • Define and maintain the M365 service architecture, reference patterns and strategic roadmap, working with the Architecture team to ensure alignment with enterprise architecture, security, data and integration strategies., • Provide senior platform design leadership across the M365 service landscape, including services owned by this role and dependencies with SharePoint and core productivity tools., • Shape the future M365 service portfolio by assessing Microsoft roadmap developments, business demand and emerging capabilities, and translating them into investment choices and sequenced roadmaps., • Lead M365 service design decisions and coordinate design assurance for material changes, working through the Architecture team and relevant governance forums where decisions have enterprise or cross-domain impact., • Define M365-specific design principles and patterns for identity, information protection, data, integration, automation, extensibility, endpoint management and AI-enabled services, within agreed enterprise architecture guardrails., • Advise senior technology and business stakeholders on M365 service options, trade-offs, risks, opportunities and recommended direction., • Work with the M365 Collaboration & Productivity Lead to establish a joined-up M365 service design and roadmap while retaining clear operational accountability., • Define how Power Platform, Copilot Studio and M365 services consume enterprise APIs, events, data services and orchestration capabilities, favouring approved reusable services over point-to-point integrations., • Work with Azure, Data and AI platform owners to assess where Azure AI services are required to complement Microsoft Copilot or Copilot Studio, and to establish appropriate design, lifecycle, monitoring and support arrangements., • Own service performance and operational delivery for the in-scope cloud M365 intelligent services, ensuring agreed service levels, controls and support outcomes are achieved., • Establish clear service definitions, ownership, support models, operational documentation, runbooks, escalation paths and service acceptance criteria., • Act as an escalation path for M365 incident, problem, [DC8.1][SC8.2]change, release, request, knowledge, capacity and continuity processes for the owned M365 platforms., • Manage demand and delivery priorities across platform operations, engineering improvements, business enablement, risk reduction and mandatory change., • Coordinate service communications, release readiness and user-impacting change with the owner of SharePoint and core M365 productivity services., • Provide technical oversight of tenant configuration and administration for the owned M365 services, ensuring configuration is controlled, documented and aligned to approved architecture and security standards., • Ensure Power Platform environments, connectors, gateways, data policies, managed solutions and lifecycle controls are consistently governed., • Ensure Copilot Studio agents, actions, knowledge sources, connectors and publishing routes are subject to proportionate design, security, testing and release controls., • Oversee the SOE across managed endpoints, including policy baselines, device configuration, application deployment, patching and update rings., • Embed monitoring, telemetry, audit logging, recovery, continuity and operational resilience across the owned services., • Maintain technical currency and reduce unsupported configurations, duplication, operational debt and avoidable complexity., • Partner with the Architecture, Security and Data teams to ensure M365 designs align with Chaucer’s enterprise direction and required controls are embedded., • Oversee the operational dependencies between M365 services and enterprise integration, orchestration and Azure AI components, ensuring monitoring, incident ownership, change coordination and recovery responsibilities are clear., • Ensure connectors, APIs, custom actions, agent integrations and automated workflows are governed, documented and managed through appropriate testing, release and lifecycle controls., • Manage the operational performance of Microsoft and relevant delivery or support partners against contractual commitments and service expectations., • Contribute to supplier selection, due diligence, onboarding and service reviews for M365, Power Platform, Copilot and end-user computing capabilities., • Oversee licence, capacity and consumption information for the owned services, identifying opportunities to improve utilisation and control cost., • Hold third parties accountable for delivery quality, knowledge transfer, documentation, security and sustainable operational outcomes. Collaborate with senior management, business stakeholders and delivery teams to understand needs, shape demand and agree priorities. Explain platform choices, constraints, risks and opportunities in clear language for technical and non-technical audiences. Build effective communities of practice for Power Platform makers, Copilot users, administrators and support teams. Promote responsible adoption through targeted guidance, communications, training and reusable patterns. • Identify, assess and mitigate operational, security, compliance, resilience, data, licensing and supplier risks across the owned services., • Design and embed robust controls for privileged access, environment management, data loss prevention, connectors, agent publishing, change and service operation., • Ensure evidence is available to demonstrate control operation, auditability and compliance with company policies and applicable regulatory obligations., • Maintain service risks, exceptions and remediation plans, escalating material concerns through the appropriate governance forums., • Establish and monitor KPIs and service measures covering M365 intelligent service availability, platform health, adoption, user experience, delivery throughput and cost., • Measure the value and effectiveness of Power Platform and Copilot services through business outcomes and value. Such as time saved, process improvement, reuse, risk reduction and user satisfaction., • Monitor platform growth, licence utilisation, capacity, technical debt and support demand to inform investment and prioritisation., • Provide clear, evidence-based service reporting and improvement plans to CTG leadership and relevant governance forums., • Creates an inclusive environment that values individual differences and leverages diversity., • Relevant experience leading Microsoft 365 cloud operations, M365 platform engineering or intelligent service delivery in a complex organisation, ideally within insurance or another regulated financial services environment., • Demonstrable knowledge of Power Platform governance and administration, including environments, Dataverse, connectors, data policies, solution lifecycle management and operational support., • Practical understanding of Microsoft Copilot and Copilot Studio service design, enablement, governance, administration, support and responsible adoption., • Strong knowledge of modern endpoint management and SOE disciplines, including device configuration, policy management, application deployment, patching and release management., • Good understanding of identity, access management, information protection, security, compliance, audit and operational resilience in the Microsoft cloud., • Proven ability to lead multidisciplinary internal and third-party teams and to manage service performance, priorities, suppliers and budgets., • Strategic problem-solving and service design capability, with the ability to assess options, shape future states, make evidence-based trade-offs and translate them into practical roadmaps and delivery plans. Chaucer is a leading insurance group at Lloyd’s, the world’s specialist insurance market. We help protect industries around the world from the risks they face. Our customers include major airlines, energy companies, shipping groups, global manufacturers and property groups. Our headquarters are in London, and we have international offices in Bermuda, Copenhagen, Dubai and Singapore to be closer to our clients across the world. To learn more about us please visit our website. Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics which are outlined in the Equality Act 2010 (UK legislation) as above the Equal Treatment Directive 2006 (EU legislation). A diverse workforce and an inclusive workplace are core to our success as a business and integral to our winning strategy and culture. We recruit from the widest available pool of talent, and our hiring, assessment and selection process is fair, free from bias and one which ensures we select the right person for the job, based on merit. We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process. #J-18808-Ljbffr

Embedded in customer environments, this role will rapidly develop and debug AI applications to accomplish production-grade deployment, while driving product feature iteration. • Develop a deep understanding of customers' business scenarios, rapidly build AI application prototypes for validation, and continuously iterate them into production-grade Agent systems., • Design AI- and cloud-based architectures, and leverage AI-assisted development to rapidly implement solutions within customer environments, effectively integrating with customers' application APIs and data systems while complying with their security requirements., • Build high-performance evaluation pipelines and observability frameworks to ensure Agent systems meet requirements for accuracy, safety, and latency., • Identify reusable application patterns and technical challenges, translate them into product feature requests, and help drive product evolution and improvement., • Work closely with customers' engineering teams to ensure successful deployment of AI applications, achieving long-term stability, high adoption rates, and sustained business value. Minimum Qualification(s) • Bachelor's degree or above in Computer Science, Engineering, Mathematics, or a related field, or equivalent hands-on experience., • More than 3 years of software development experience, with strong proficiency in Vibe Coding and substantial practical application of it in real-world projects., • Hands-on experience building AI applications, including areas such as Prompt Engineering, Fine-Tuning, Retrieval-Augmented Generation (RAG), and Agent development., • Experience in cloud-based architecture design and development, including developing with cloud service APIs/SDKs, automated deployment, and designing highly available and scalable systems. Preferred Qualification(s) • Experience developing complex Agent systems, with proficiency in using open-source or commercial Agent development frameworks such as LangGraph, CrewAI, or Agent development SDKs provided by cloud service providers., • Experience delivering AI solutions for one or more industries, including but not limited to education, healthcare, automotive, financial services, telecommunications, and other sectors. Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. #J-18808-Ljbffr

At Moneybox, our mission is to give everyone the means to get more out of life. We’re guided by our belief that wealth isn’t about the money, it’s about the means to more – more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement. Moneybox engineering serves more than 2M customers and runs a live service handling over 20M API requests a day. We have agreed a company-wide AI Platforms strategy, backed by a business case, and we are now building the team to deliver it. This is a newly created function and you will be its first hire. The Head of AI Platforms & Deployment is a player-manager role reporting to the Engineering Director, owning both sides of that strategy: theAI Platforms capability pillars (control, monitoring and sandboxing; agentic workflow orchestration; knowledge capture) and the AI Deployment team of forward-deployed engineers who put AI to work on real business problems. You will be hands-on from day one – enabling business deployment of AI with the tools we have today – whilst also building and delivering a business-driven, multi-year AI platforms strategy and hiring and managing the team that executes it. Why now: • AI offers Moneybox significant opportunities, and unlocking them safely means managing the risks that come with it. The controls and capabilities that make that possible (gateways, sandboxing, guardrails, monitoring, perimeter defence) need dedicated leadership to build., • Demand for AI-enabled business systems is real and, without a safe path, goes underground. Someone must own the graduation ladder from “works for me” to owned, reviewed business system., • We are hosting customer-facing AI models as part of our Aurora financial guidance service. Serving these safely, securely and at scale needs a dedicated engineering owner., • We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning are key: we expect you to run two tracks in parallel from day one – enable the do-ers, helping the business use AI safely with what we have today rather than gating everything behind platform build, and build the strategic platform. Key decisions should be made within your first two to three months and material platform improvements live within six. You will hire further engineers before the end of the year, growing the team as the benefits compound. Own the AI platform strategy. Risk management, horizon scanning, supplier selection and vendor management, business case ownership, and benefits realisation through a coherent, business-driven delivery roadmap that is trusted by stakeholders across Moneybox. Build and lead the AI Deployment team. Hire, line-manage and set the engagement priorities and delivery standards for a team of forward-deployed AI engineers, working alongside embedded specialists while we hire. Grow into managing both the platform and deployment sub-teams as the function expands. Own perimeter safety in an AI-native world. Set and own our defensive AI strategy, with execution carried out in collaboration with Tech Ops. Our Principal Cloud Architect, who owns overall cloud strategy, is a key partner. Own AI platforms and costs. Harnesses, tooling, cost management, forecasting and optimisation (including usage-based pricing shifts), and the staff access model. This includes: • AI safety for internal use: sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations., • The three platform pillars: control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a “software factory” in the cloud with hybrid self-serve and engineering-managed workflows); and knowledge capture and organisation., • AI workflow tooling and the tiered graduation ladder from personal tool, to shared tool, to business system., • Evolving existing deployments: tactical enhancement of what we run today so it aligns with the strategic direction. Own model hosting and scaling. Hosting and scaling for AI and model workloads, including the customer-facing models behind our Aurora financial guidance service, with execution in collaboration with Tech Ops. Model safety and performance for customer-facing AI is shared with our Decisioning and Data Science teams: they own what happens inside the model, you own everything surrounding it. Enable the do-ers. Give departments a working answer for using AI today – clear guardrails on what is allowed now and fast risk assessment rather than blanket restriction – and make sure demand arrives through the front door. This role is explicitly not ML model development or data science, general cloud infrastructure ownership, or general engineering delivery – although our squads and engineering leads are customers of the platforms you build. • A proven engineering leader who has gone deep on AI. You have managed engineers and managers, run programmes, owned budgets and supplier relationships, and in the last two to three years you have owned an AI platform or enablement capability in a real organisation. Not a spectator or strategist-only., • A player-manager. You are comfortable getting hands-on in the early months and equally comfortable stepping back as the team you have hired takes it on., • Strategic and accountable. You build and deliver a 12-18 month strategy aligned to company objectives, make well-informed and timely decisions, and take full ownership of your function’s performance and commitments., • Unusually cross-functional. Every department is your stakeholder and customer. You will be recognised as the AI platforms expert at Moneybox, influencing exec and departmental leaders and resolving boundaries with Tech Ops and Decisioning through shared goals rather than turf., • A team builder. You will build this team from scratch rather than inherit one, establishing a performance culture, developing your people, and running a team that itself models AI-enabled productivity., • Commercially literate. You can express platform investment in ROI and EBITDA terms to a non-technical exec, and defend a risk position – on a connector approval, a token-versus-agent permission gap, a vendor – with clear reasoning., • Proven engineering leadership: has managed engineers and managers, run programmes, owned budgets and supplier relationships., • Has owned an AI platform or enablement capability in a real organisation in the last 2-3 years: deployed AI tooling company-wide, set governance, managed cost at scale., • Has built or significantly scaled a team., • Current, hands-on fluency with the modern AI stack: frontier model platforms, agentic tooling and harnesses, MCP and integration patterns, evals, prompt and context engineering., • AI security and governance: sandboxing, gateways (LLM, MCP, AI), DLP, guardrail enforcement and data-boundary reasoning; able to form and defend risk positions., • Cost engineering: usage-based pricing models, forecasting and optimisation levers., • Enough software and cloud architecture depth to hold your own with Architects, Tech Ops and Decisioning, and to get hands-on with the platform in the early months. Our core stack is .NET on Azure and Python is the standard for AI, so we need polyglot pragmatism over allegiance to any single stack., • Vendor and supplier evaluation and management in a fast-moving market., • Evidence of business-case thinking: can express platform investment in ROI and EBITDA terms to a non-technical exec., • Experience in financial services or another regulated industry, or a comparable risk-context environment., • Hands‑on experience selecting or implementing LLM/MCP gateways, sandboxed agent hosting or agentic workflow orchestration platforms., • Experience serving customer‑facing AI models in production and partnering with data science teams on model safety and performance., • Opportunity to join a fast-growing, award-winning and super ambitious company, • Work with a friendly team of highly motivated individuals, • Be in an environment where you are listened to and can actually have an impact, • Thriving collaborative and inclusive company culture, • Competitive remuneration package, • Company pension scheme, • Company bonus scheme, • Hybrid working environment, • Home office furniture allowance, • Personal Annual Learning and Development budget, • Private Medical Insurance, • Health Cash Plan (cashback on visits to the dentist & opticians etc), • Cycle to work scheme, • Wellhub subscription to a variety of gyms and wellbeing apps, • Enhanced parental pay & leave, • 25 days holiday + bank holidays with additional days added with length of service., • This is a hybrid role. Our office is in London, by the Oxo Tower Our Commitment to DE&I #J-18808-Ljbffr

We’re not your average benefits platform – we’re the driving force that uplifts people’s lives. Our technology connects the entire benefits ecosystem, creating better outcomes for employers, employees, brokers, and providers. Our mission is clear: to build a world where everything works at its best, ensuring every employee gets the support they need to thrive—both at work and beyond. As our Software Engineer (Data), you’ll build and run the pipelines, orchestration, and infrastructure that move data across Ben: in from our product and the tools we use, in from our customers, and back out to them again. It’s the plumbing the whole company and our customers depend on, and it has to stay reliable. We serve global enterprise customers with strict security and reliability requirements. You’ll own real work from day one. You’ll have a strong team of cross functional engineers alongside you, room to grow into harder problems, and the freedom to do the job your way. Own everything that flows into Ben: build and maintain the ingestion pipelines that bring data into our warehouse, with Fivetran for managed sources and custom pipelines where we need them. Keep everything running on time: own the orchestration that keeps data moving on schedule and recovers cleanly when something breaks. Scale and manage our data infrastructure: build and manage our data infrastructure as code with Terraform, using mainly AWS services. Connect Ben to every system our customers run: build enterprise-grade pipelines and connectors for our customers, bringing their data in, for example from HR and payroll systems, and getting accurate data back out to them, reliably and securely, even at the volumes large customers bring. Build the data layer our agents act on: help connect our data to the AI agents and services we're building, including through MCP connectors, so they get the right context at the right time. Shape what we build: work with product and other stakeholders to scope problems and agree on simple but scalable solutions. Build it to enterprise standard: build to current security practice, for example the OWASP Top 10 and the AWS Well-Architected Framework. Ben runs on Python 3, Django, PostgreSQL, and React, on AWS. Our data platform today is built around Fivetran, AWS DMS or custom pipelines for ingestion, dbt for transformation, PostgreSQL on AWS RDS as the warehouse, and n8n or AWS Lambda for automation between systems. We manage our infrastructure as code with Terraform and use different AWS services depending on requirements. We have adopted frontier level agentic development practices and continue to push the envelope of what’s possible with current technologies. Strong experience with Python and SQL. A few years building and running production data pipelines that other people relied on. Comfortable with infrastructure as code, ideally Terraform, and hands‑on with AWS, for example Lambda, ECS, Glue, S3, RDS. A good grasp of ETL/ELT and orchestration. Experience building or running data integrations and connectors, especially ones that other companies or customers depend on, is a real plus. Solid software engineering fundamentals: clean code, sensible design, and tests you can rely on. You keep security in mind when you build applications and configure infrastructure, and you know what enterprise customers expect of their data. Experience working on customer-facing data integrations such as HRIS or payroll feeds via SFTP and in EDI format Experience with MCP server development, or different ways of preparing data for AI agents such as ontology modelling, context, knowledge graphs, and semantic layers. We don't expect all of it. We do expect curiosity about it. Ben's customers are large enterprise employers, and the hundreds of thousands of people who work for them rely on us to get their benefits right, every time. That depends on data moving accurately between their systems and ours, every cycle. You get to work on the data infrastructure that makes this run like clockwork. At the same time, Ben is an AI-native organisation. Agents are already doing a lot of impactful work here, and they can only do it on data they can trust. That raises questions a dashboard never had to answer. How fresh does this need to be for an agent to act on it? How do you match the same entity across tools? How do you control what an agent is allowed to see? Very few engineers have answered those in production. You'd be one of them. You'll take ownership of large, complex problem spaces, help design how they scale, and build an agentic layer few engineers have built anywhere yet, and you'll see the impact of it: Ben supports hundreds of thousands of people across 30+ countries. It's important to us to practise what we preach when it comes to benefits. We know what good looks like and we want to provide the best for our team, with a comprehensive and inclusive benefits package. You'll have a choice over the things that are most important to you. You can see a selection below, with the full offering here. Competitive base salary + equity, so you own what you build Bonus scheme designed to reward and recognise high performance £100 monthly personal Ben Balance: for whatever works for you, whether that's Netflix, Spotify, or a really expensive cup of coffee! This allowance will increase by £50 for each year of service until you reach £250 Weekly lunch provided in office so you can spend quality time with the team over some tasty food! 28 days of holidays a year plus bank holidays, and an option to buy or sell 5 days per year. Your holiday entitlement increases to 30 days at your 3rd year of service! Work-from-abroad scheme, so you can support your travels, enjoy an extended holiday, or visit loved ones. Enhanced parental leave and workplace nursery scheme to support with the cost of childcare in a nursery setting Comprehensive Private Medical Insurance Funded Life Assurance cover with the option to voluntarily increase. This also includes an annual health check Comprehensive mental health support and professional coaching through a leading provider We are organically growing a brilliantly diverse, inclusive and respectful bunch of people we are extremely proud of. This should go without saying, but all applications are very much welcome. If you need any adjustments to support you with your application, just let us know by emailing . #J-18808-Ljbffr

10 Bressenden Place, London, SW1E 5DN, United Kingdom, London SW1E 5DN, GB Full-time Company description We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Job description We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Why consider joining our Digital & Data community? • Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions., • Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do., • Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week., • Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same, • Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring, • Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications What you can expect • Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects, • Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams, • Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site., • An environment that deeply cares about its values Values | PA Consulting, • We’re hands-on with emerging technologies – exploring what works, what scales, and what’s next:, • Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic., • Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs., • Developing and testing agentic architectures through our own Genie Platform – enabling AI agents that reason, retrieve, and act across systems., • Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith., • Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem at hand., • Constantly learning, testing, and sharing findings across our internal AI community. Qualifications Essential requirements ✅ Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. • Software engineers with a passion for AI – or data scientists who’ve embraced engineering., • People who experiment, prototype, and explore emerging AI tools in their own time., • Strong foundation in a language suited to AI system development and data workflows., • Experience integrating models with APIs, data sources, or production systems., • Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks., • Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices., • A collaborative mindset and willingness to share, learn, and teach., • Understanding of prompt and context engineering and model evaluation., • Solid grasp of distributed systems, microservices, and RESTful APIs., • An understanding of LLMOps tools for managing GenAI workflows. Additional information Assessment process ⚖️ Please note that the interview stages may be subject to change based on the specific requirements of the role. • Quick call with one of our Tech Recruiters – to discuss your application, the role and PA, • Round 1: Either a competency or technical interview (60 mins), • Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins), • Final round : Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. Find out more about Life at PA here . We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: • Health and lifestyle perks accompanying private healthcare for you and your family, • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days, • Generous company pension scheme, • Opportunity to get involved with community and charity-based initiatives, • Annual performance-based bonus, • PA share ownership, • Tax efficient benefits (cycle to work, give as you earn) We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on #LI-SG1 #J-18808-Ljbffr

Slalom is a global, human-centric business and technology consulting firm. We specialise in partnering with organisations that aspire to excellence, helping them tackle complex challenges and achieve transformative results through strategy, technology, and business transformation services. By prioritising people, Slalom creates a unique consulting experience, with a team of strategists and engineers delivering practical, end-to-end solutions that drive impactful outcomes for our clients. We empower people and organisations to dream bigger, move faster, and build better tomorrows for all. At Slalom, we believe that through our trusted relationships with our clients, we can create modern data solutions that drive results and improve the world. Interested in Strategy? Have a passion for Architecture? Want to work in a team that is pushing the forefront of the latest technology in the Engineering and AI space? We can offer you this. Slalom is agnostic when it comes to the technology we work with and we support clients in a range of data cloud partnershipsincludingAWS, Azure, Snowflake and Databricks to name but a few. We are interested in individuals who are passionate and curious about what is next. As a Senior Consultant AWS Data & AI Engineer at Slalom, you areaskilled engineerresponsible for delivering high-quality data solutions that generate measurable business value. Youdemonstratedeep technicalexpertisein AWS data services, combined with a keen understanding of client needs and the ability to collaborate productively within teams. Additionally, you play a key role in advancing our Data & Technology Capability. This position requiresproficiencyin designing and constructing robust data platforms, alongside the capacity to foster strong client partnerships. • Design, build, and implement scalable data engineering solutions on AWS, including data pipelines, ETL/ELT processes, and data integration frameworks., • Develop andoptimizedata architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies., • Ensure solutions follow AWS best practices for security, performance, cost optimization, and operational excellence., • Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical implementations., • Use AI-assisted development tools appropriately to support engineering productivity, code quality, testing, and delivery., • Mentor junior team members and contribute to building technical capability within project teams., • Act as a trusted advisor to client stakeholders, understanding their business challenges and recommendingappropriate datasolutions., • Communicate technical concepts clearly to both technical and non-technical audiences., • Contribute to client workshops, requirements gathering sessions, and solution design activities., • Stay current with AWS data engineering trends, services, and best practices., • Contribute to the development of Slalom's data engineering accelerators, frameworks, and methodologies., • Share knowledge through internal presentations, documentation, and mentoring., • Participate in Slalom's learning culture and pursue continuous professional development., • Considerable experiencein data engineeringfocused on AWS data platforms and services., • Strong hands-on experience withAWS data servicesincluding S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies., • Proficiencyin programming languages such asPythonandSQL fordata processing and transformation., • Experience designing and implementingETL/ELT pipelines, data integration patterns, and workflow orchestration., • Understanding ofdata modelling concepts(dimensional modelling, data vault, normalized schemas) and when to apply them., • Knowledge ofdata governance, data quality, and metadata managementprinciples., • Experience withInfrastructure as Code(CloudFormation, Terraform, CDK) and CI/CD practices., • Strong problem-solving skills and ability to work effectively in fast-paced consultingenvironments., • Excellent communication and interpersonal skills, withdemonstratedability to work collaboratively with diverse teams., • Client-facing consulting experiencewith ability to build rapport and credibility with stakeholders., • AWS certificationssuch as AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect - Associate, or AWS Certified Developer - Associate, • Experience withstreaming data architecturesand real-time analytics, • Familiaritywithdata platformssuch asSnowflake, Databricks is a bonus, • Experience with ML/AI engineering, including building or integrating production-grade machine learning or generative AI solutions., • Experience with agentic development patterns, including tool use, workflow orchestration, and evaluation of agent behavior., • Experience with semantic layers and ontology design, including defining consistent business concepts, relationships, and metadata for analytics and AI use cases., • Relevant AWS AI certifications, such as AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer - Associate, or AWS Certified Generative AI Developer - Professional. We have a question for you - and it’s something we’re passionate about. Can you imagine a world in which you can truly love your life and your work? Well, we have some good news – creating that world and making this vision a reality is what we get out of bed for; it’s our north star. But what do we really mean when we talk about loving your life and your work? Let’s look at the ways in which we help our team members to achieve this – and the ‘how’. We have deep relationships with leading technology partners and they love us for our innovative and outcome based approach. Our people are passionate about solving our clients problems using the tech that’s the best solution for them. What’s more, we’re there to work side-by-side with our client teams to enable them for success long after we’ve gone. We’re all about momentum that outlasts us. Life is busy, and we understand that. Our team often juggles work, family, personal commitments, and crucial client obligations. We prioritise supporting our people in balancing what matters to them while ensuring we meet our client commitments. Flexibility is key, as we sometimes need to adapt to meet client needs. This way, our team can work on high-impact projects they’ll love, knowing they have the flexibility to manage their personal and professional lives effectively. Great solutions start with great people. At our employee-led company, your voice matters, and we love to hear your feedback. By leading with kindness, empathy, and striving for equity, we create better experiences for everyone. Our culture encourages passion, adventure, adaptability, and diverse thinking. Inclusion, diversity, and equity are our top priorities, empowering our team to be their best selves. Together, we can create a great future by working collaboratively and supporting each other. There’s no shying away from it - the compensation and benefits on offer have to be competitive too, right? We know that. That’s why we have a dedicated team working with our leaders to ensure our packages are fair, competitive, and rewarding! Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That's why we prioritise purpose, flexibility, connection and recognition so our people can thrive and love what they do, most days. We’re honoured to be consistently recognised as a great place to work, including being one of Fortune’s 100 Best Companies to Work for nine years running. Read more at slalom.com. Slalom prides itself on helping our team members thrive in their work and life. As a result, Slalom is proud to invest in our team members with competitive and innovative benefit programs and services that meet the unique needs of our diverse workforce. If you require any assistance with regards to reasonable adjustments during the recruitment process, please do not hesitate to contact us – we will always be happy to help. #J-18808-Ljbffr

NTT DATA is seeking a dynamic and strategic AI Project / Delivery Manager to join our growing AI Practice. As an AI Project / Delivery Manager, you will lead the planning, execution, and delivery of artificial intelligence initiatives across our client base. This role bridges the gap between technical teams, business stakeholders, and end-users, ensuring AI projects are delivered on time, within scope, and aligned with strategic objectives. Our AI Practice spans Data Science, Generative AI, and Agentic AI, helping clients across industries harness the power of AI to transform operations, enhance decision-making, and drive innovation. • Manage the delivery of AI related engagements with both public and private sector clients ensuring solutions deliver measurable business benefits., • Develop and maintain delivery plans, tasks, actions and RAID items to ensure structured and consistent delivery execution., • Run regular stand-ups and project ceremonies with NTT DATA engagement team and client teams., • Identify and manage risks, issues, dependencies, and scope changes and ensure these are reported through the appropriate governance channels., • Provide regular governance reporting to senior stakeholders both internally to NTT DATA and externally to client teams., • Track commercials, forecast spending, and ensure alignment with approved budgets., • Facilitate stakeholder engagement sessions and cross-functional alignment., • Support compliance with ethical AI principles, data privacy regulations, and public sector service standards., • Contribute to the development of AI strategy, governance frameworks, and operating models., • 7+ years of proven experience in delivery of complex software engineering projects, • 3+ years of proven experience in managing delivery projects with a significant AI component combined with an understanding of AI concepts including machine learning, natural language processing, generative AI and Agentic AI, • Evidence of managing complex technical delivery, comprising bespoke engineering rather than pure COTS solutions, for Enterprise scale private sector and / or public sector customers, • Experience managing projects with high levels of ambiguity and rapid iteration, • Ability to manage client-facing delivery teams from mixed geographical locations (both onshore and offshore)., • Ability to review and challenge technical solution designs and identify and manage AI risks, • Highly proficient in Agile delivery methodology including Scrum, • Significant consulting experience through managing projects in consulting and highly customer facing environments, • Excellent commercial acumen with demonstrated experience managing contracts and project economics, • Excellent communication, coordination, and stakeholder management skills., • Problem-solving mindset with adaptability to fast-changing environments., • Skilled in stakeholder engagement, workshop facilitation, and executive communication., • Familiarity with tools such as JIRA, Confluence, and data visualisation platforms and cloud platforms including Azure, AWS and GCP)., • Knowledge of responsible AI frameworks and ethical considerations in AI deployment., • Business domain specific knowledge in sectors such as public sector, financial services, telecoms, manufacturing, energy and utilities or others., • Experience in government or regulated sectors, • Experience managing end-to-end AI delivery projects with elements including data pipelines, prompt engineering oversight, agent orchestration (e.g. LangChain, Semantic Kernel, Azure AI Agents) and integration with enterprise systems., • Experience with change management and organisational readiness for AI adoption., • Technical Translation: Ability to translate technical concepts into business-friendly language., • Problem Solving: Break down complex problems and shape innovative AI-driven solutions., • Dealing with Ambiguity: Comfortable navigating uncertainty and shaping direction in evolving environments., • Collaboration: Strong team player able to work across disciplines and build consensus., • Willingness to travel to client sites as required., • Eligibility to work in the UK and undergo necessary background checks., • Excellent verbal and written communication skills in English., • A proactive, self-starter mindset with a strong sense of ownership and accountability. We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options. We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team. #J-18808-Ljbffr

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. • Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions., • Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do., • Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week., • Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same, • Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring, • Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications What you can expect 🌱 • Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects, • Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams, • Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site., • We’re hands-on with emerging technologies – exploring what works, what scales, and what’s next:, • Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic., • Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs., • Developing and testing agentic architectures through our own Genie Platform – enabling AI agents that reason, retrieve, and act across systems., • Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith., • Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem at hand., • Constantly learning, testing, and sharing findings across our internal AI community. Essential requirements ✅ Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. • Software engineers with a passion for AI – or data scientists who’ve embraced engineering., • People who experiment, prototype, and explore emerging AI tools in their own time., • Strong foundation in a language suited to AI system development and data workflows., • Experience integrating models with APIs, data sources, or production systems., • Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks., • Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices., • A collaborative mindset and willingness to share, learn, and teach., • Understanding of prompt and context engineering and model evaluation., • Solid grasp of distributed systems, microservices, and RESTful APIs., • An understanding of LLMOps tools for managing GenAI workflows. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government’s guidance on security vetting before applying. Please note that the interview stages may be subject to change based on the specific requirements of the role. • Quick call with one of our Tech Recruiters – to discuss your application, the role and PA, • Round 1: Either a competency or technical interview (60 mins), • Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins), • Final round 🎉: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: • Health and lifestyle perks accompanying private healthcare for you and your family, • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days, • Generous company pension scheme, • Opportunity to get involved with community and charity-based initiatives, • Annual performance-based bonus, • PA share ownership, • Tax efficient benefits (cycle to work, give as you earn) We’re committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on [emailprotected] #LI-MB1 By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply #J-18808-Ljbffr

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. We are seeking a Staff Software Engineer to lead the technical direction of our Margin & Risk team, part of Prime Engine. The team builds the systems that protect Alpaca, our partners, and their customers from financial exposure across every asset class the platform supports — equities, options, and crypto today, and new asset classes as the platform expands. These systems calculate margin requirements, enforce real-time risk and exposure limits, manage margin calls through their full lifecycle, and automate operational workflows that were historically manual or split across fragmented services. This role is expected to work across those asset classes, not own a single product line: portfolio and intraday margin, options risk, crypto risk controls, and the margin models for new products as they come online. Exposure is often cross-asset, so the architecture has to treat a customer's risk as one picture. This is a high-consequence domain. A defect can cause financial loss, incorrectly restrict a customer's trading, or create regulatory exposure. Latency matters, and correctness matters more. We are looking for an engineer who has owned systems like this before — including what happens when they fail — and who has built that kind of system, not only operated one someone else designed. You will not manage people directly. You will lead through architecture, code, design reviews, and mentorship, and you will remain a principal contributor on mission-critical systems. The team is about six engineers today and is scaling toward ten. You will be the senior technical anchor for the domain, working with the engineering manager and the senior engineers on the team to spread deep ownership as it grows. • Own the architecture and technical roadmap for margin and risk across asset classes, including portfolio margin, intraday margining, options risk, real-time exposure limits, margin-call automation, and margin models for new asset classes., • Design and build services that turn complex margin methodologies and regulatory rules into correct, testable, and observable systems, and keep those rules consistent where asset classes interact., • Lead real-time risk enforcement on the order path, balancing latency against accuracy and safety., • Drive reliability and performance across the team's services: throughput, state recovery, database load, and failure isolation., • Partner with Product, Brokerage Operations, Compliance, and adjacent engineering teams (order management, ledger, account, market data) to define behavior and integration boundaries., • Set the standard for correctness in a financial system: transactional integrity, idempotency, reconciliation, feature flags, and staged rollouts., • Lead design reviews, mentor senior and mid-level engineers, and raise the engineering bar as the team grows., • Act as a technical point of escalation for production margin and risk issues, and drive durable prevention after incidents., • 8+ years of backend or distributed-systems experience. Evidence of scope and ownership matters more than a strict year count. Strong preference for someone who has owned the same consequential production system for at least two years., • Proven ownership of a high-volume system where a defect could cause financial loss, a data-integrity failure, or an inappropriate customer restriction., • Experience designing and shipping transactional, low-latency, high-throughput systems., • Strong expertise in Go, or deep experience in Java, C++, or Rust and a clear willingness to work primarily in Go. Domain knowledge matters more than prior time in Go., • Deep knowledge of relational databases (PostgreSQL preferred), transactions, consistency, and concurrency., • Experience with event-driven and service-oriented systems (gRPC or other RPC, Kafka, RabbitMQ, or similar) and with Kubernetes., • Demonstrated care for correctness: testing strategy, edge-case analysis, reconciliation, and safe production rollout., • Clear communication with engineers and with operations and compliance partners, including when the business rules are complex or still being defined., • Track record of technical leadership and mentorship across teams. Curious about the core of the domain, and effective as a teammate., • Hands-on margin or risk experience in more than one asset class, with derivatives or recently launched markets especially valuable. You would help establish and deepen that expertise on the team., • Familiarity with margin methodologies such as Reg T, portfolio margin, options spread margin, or futures margin., • Background in brokerage, clearing, exchange, ledger, payments, or settlement systems., • Experience with options, derivatives, or multi-leg strategies and their risk characteristics., • Experience with workflow orchestration (Temporal or similar) for long-running processes such as margin-call lifecycles., • Experience with observability and production performance tuning., • Experience leading migrations or refactors in production-critical environments., • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500, • Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy #J-18808-Ljbffr

Job Title Senior Platform SRE Job Description About IG Group IG Group is a FTSE 100 fintech operating across five continents, serving over 1.4m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn’t pivot to innovation; it’s how we’ve always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that’s rare in established businesses. The bar is high – bring a curious and forward-thinking mindset and we’ll give you the platform to define what comes next. Join us at IG – the future gets built here. The Platform SRE team is the engine of IG’s reliability programme. We sit within Infrastructure & Operations, working across IG’s hybrid estate of on-premisesHashiCorpNomad and AWS. We are not a reactive ops team. We build the platform, standards, and tooling that make reliability the default for every engineering team at IG. Through the SRE Guild, we connect with Domain SREs and Reliability Champions across the organisation, setting the bar and lifting it together. You will be a hands-on technical contributor at the heart of the Platform SRE team, owning pieces of the reliability platform that hundreds of engineers depend on. You will work at the intersection of software engineering, observability, and systems reliability, turning reliability from a reactive concern into a proactive engineering discipline. You will partner with Platform Engineering, product teams, and Reliability Champions to define what good looks like in production and then make it the default. You will contribute to the SRE Guild, mentor engineers across the organisation, and when things go wrong, you will be on the call helping to mitigate, understand, and prevent a repeat. Build and own the reliability platform • Implement comprehensive monitoring and observability usingOpenTelemetryand distributed tracing.Maintain SLO, error budgetsand burn-rate tracking, • Establish andmaintain24/7 operational readiness including automated deployments, blue/green releases, and zero-downtime patching strategies, • Engineer self-healing capabilities: auto-remediation, error-budget-gated rollback, and automated traffic rerouting, • Design and run chaos experiments across the AWS estate, turning severe-but-plausible failure scenarios into engineering improvements, • Build automation tools and CI/CD pipelines that embed reliability practices, whileapplyingsoftware engineering discipline including version control, code reviews, and testing., • Contribute to the SRE AI agent, IG’s agentic tooling for incident investigation and reliability review, built on AWS frontier models, • Mentor junior SREs and Reliability Champions on reliability patterns and production engineering discipline Set and uphold standards • Author and evolve the SRE standards that underpin the Guild: SLOmethodology, error budget policy, observability instrumentation guide, andProduction Readiness Review(PRR)checklist, • Mentor developers on reliability patterns including circuit breakers, retry logic, and fault tolerance, • Work with development teams and Reliability Champions to design SLOs on customer journeys rather than per-service., • Assistand guide teamsin system design, capacity planning,architecturalreviewsandclosingobservability gaps. Own incident response and learning • Facilitate blameless post-incident reviews (PIRs) within five working days using contributing-factormethodology, • Maintain the Lessons Register, track remediation actions to closure, and surface patterns across incidents quarterly **What you’ll need for this role: Extensive working experience in all the below mentioned areas.** Essential Technical Skills • Observability and instrumentation: hands-onOpenTelemetryexperience (spans, metrics, traces, context propagation) and production use of Honeycomb, Datadog, Dynatrace, or Grafana; able to instrument Java or Python services directly., • SLOs and error budgets: proventrack recorddesigning customer-meaningful SLIs, setting error budgets, configuring multi-window burn-rate alerts, and working with development teams on reliability measurement, • CI/CD and release engineering: experience building pipelines with safety mechanisms: blue/green and canary releases, automated rollback, and DORA metrics integration, • Container orchestration: Kubernetes (EKS, AKS, or GKE)required;HashiCorpNomad is a strong advantage on IG’s hybrid estate; solid understanding of cloud networking andIaC(Terraform preferred), • Software engineering: production-quality coding in Java and/or Python; comfortable contributing to application codebases to implement reliability patterns, not just configuring infrastructure around them, • Distributed systems: strong understanding of how large-scale systems fail and how to make them fail safely; circuit breakers, bulkheads, idempotency, graceful degradation, and load-shedding; high-throughput, low-latency environments preferred, • Incident management: on-call experience on production systems, blameless PIR facilitation, contributing-factor analysis, and driving action items to closure; PagerDuty and ServiceNow familiarity helpful, • Chaos engineering: experience designing and executing hypothesis-driven experiments with blast-radius controls and gap-to-impact-tolerance analysis; AWS FIS, Gremlin, or equivalent, • Community and standards: at ease in a guild or community-of-practice model; comfortable writing RFCs, presenting at engineering forums, and building standards that others will adopt Experience Requirements • Track recordin high-throughput, production environments (financial services, trading platforms, or similar mission-critical systems preferred), • Demonstrated ability to improve system reliability and performance at scale, • Experience working collaboratively with development teams to implement observability and reliability improvements, • Strong troubleshooting skills in distributed systems environments Core Competencies • Systems thinking approach to problem-solving, • Excellent communication skills for cross-functional collaboration and technical enablement, • Ability to balance hands-on development work with operational responsibilities, • Strong bias toward automation andeliminatingmanual toil Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. • Competitive salary, • Flexible Benefits Package on top of your salary (12%), • Private medical cover for you and your family, • Life insurance, • Contribution to gym memberships, • 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total, • The option to buy or sell holiday days., • Unlimited access to the LinkedIn Learning Platform, • A comprehensive global and local onboarding process, • Employee-led LGBTQ+, Women’s, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture, • Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents, • Option to participate and create ESG initiatives based on IG Brighter Future Fund Learn more about the Perks here! Number of openings 1 #J-18808-Ljbffr

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer‑first software with cost‑efficient, large‑scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping., • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through., • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together., • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work., • Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most., • Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. The Agents team at Lightning AI is building the infrastructure that powers the next generation of AI applications. As AI agents move from prototypes to production, developers need reliable systems for orchestrating workflows, coordinating models, executing tools, and managing long‑running state. Our goal is to provide the platform and abstractions that make building production‑ready agentic applications as simple as deploying any modern software service. We're looking for a Senior Software Engineer to help design and build the backend systems that power Lightning AI's agent platform. You'll work on orchestration frameworks, tool execution, workflow management, memory and state handling, and developer‑facing APIs that enable customers to build sophisticated AI applications with confidence. You'll partner closely with engineers across Core Platform, Training & Experimentation, Sandboxes, and Optimized Compute to deliver platform capabilities that are reliable, scalable, and intuitive for developers. This role is based in one of our San Francisco, NYC, or London office hubs, with a minimum of 2 in‑office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. • Design and build backend services that power AI agent orchestration and execution., • Develop scalable APIs and platform capabilities for tool use, workflow orchestration, memory, and state management., • Build reliable infrastructure that enables long‑running, distributed AI workflows., • Partner with product, research, and platform engineering teams to bring new agent capabilities into production., • Improve platform reliability, observability, and performance as customer workloads continue to scale., • Evaluate and strengthen technical architecture, engineering processes, and developer tooling., • Maintain high standards for software quality through testing, automation, continuous delivery, and proactive management of technical debt., • Mentor engineers on system design, distributed systems, and backend engineering best practices, • Extensive experience building scalable backend systems using Go, Python, Rust, or similar languages., • Strong understanding of distributed systems, asynchronous processing, APIs, and cloud‑native application architecture., • Experience designing and operating production services at scale., • Hands‑on experience building backend platforms, developer tools, or infrastructure products., • Familiarity with cloud platforms such as AWS, GCP, or Azure and container technologies including Docker and Kubernetes., • Proven ability to take ownership of large technical initiatives from architecture through production., • Commitment to software quality, automated testing, observability, and continuous delivery., • Strong communication skills and the ability to collaborate effectively across engineering, product, research, and design teams., • Ability to thrive in fast‑moving, ambiguous environments while balancing technical excellence with product impact. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 — $250,000 USD We offer a comprehensive and competitive benefits package designed to support our employees’ health, well‑being, and long‑term success: • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents., • Meaningful Equity: RSUs that give employees a stake in the company's long‑term success., • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.)., • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work‑life balance., • Company‑Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge., • Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments., • Professional Development: Annual learning and development allowance to support your professional growth., • Wellness Benefits: Wellness and work‑from‑home stipends to support your physical and mental well‑being., • Sabbatical Program: Four weeks of paid sabbatical leave after four years of service., • Flexible Work: Flexible schedules and a hybrid work model for our office‑based teams., • In‑Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential. #J-18808-Ljbffr

At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Customer Architect has a passion for fostering strong customer relationships and maximizing customer experience. This dynamic role combines industry expertise with technical knowledge to ensure customers achieve maximum value from our solutions. As a Customer Architect, you will focus on Strategic Technical Alignment, Operational Excellence and Expedited Issue Resolution and customer advocacy. If you thrive on problem-solving, building strategic partnerships, and driving operational excellence, we want to hear from you! Job Duties and Responsibilities: • Serve as the technical expert on Reltio platform capabilities for customers as they develop solutions aligning with the customer’s business needs., • Present technical knowledge of architectural designs including integration approaches., • Deliver workshops and advisory services to enhance customer technical understanding, promoting optimal product usage and alignment with Reltio’s best practices., • Hands‑on experience working technically with customer engineering (Support), Advanced customer engineering, and cross‑functional teams., • Manage customer portfolio of tickets, resolutions, and product enhancement requests., • Own dedicated escalation paths with customers, coordinating resources and driving timely resolution of tickets to exceed customer expectations. Act as a single point of contact for customer engineering issues., • Stay at the forefront of industry trends and challenges and offer Reltio’s customers informed and proactive guidance., • Ensure a seamless onboarding experience, setting the foundation for long‑term customer satisfaction., • Participate in customer engagement initiatives, including executive business reviews and CSAT/NPS surveys to cultivate strong partnerships., • Advocate for customer needs, translating them into documentation and product enhancement requests., • Deliver the highest quality customer/partner experience and engage in highly technical discussions., • Ability to travel to customer sites upon request., • Other duties and responsibilities as assigned. Skills You Must Have: • Bachelor’s degree in computer science engineering or similar field of study., • 5+ years of experience working in a technical support capacity., • 5+ years of experience supporting enterprise products in a SaaS in a customer-facing role., • 3+ years of experience with Public Clouds AWS/GCP/Azure and their services., • 3+ years of experience with REST APIs and integration tools., • 3+ years of experience with on‑premise or cloud MDM solutions., • Experience in observability and monitoring tools such as LogDNA, CloudWatch, etc., • Experience interfacing directly with Product Management, and engineering teams to elevate and seek resolution on product issues as well as provide customer requirements for future product releases., • Excellent reporting/analytical skills - experienced in developing dashboards with reporting technologies and influencing customers/partners by sharing action‑oriented insights., • Experience supporting both Enterprise‑focused applications, preferably with a focus on data management, analytics, and big data platforms and technologies., • Accountability - acceptance of responsibility and willingness to commit to and deliver measurable work and results., • Excellent communication, problem-solving, risk management, and project management skills. Skills That Are Nice to Have: • Prior experience working with data products within enterprise space., • Prior experience working with Salesforce, Snowflake, GoogleBigQuery, etc. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Reltio’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. #J-18808-Ljbffr

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations, you are a hands‑on Technical Builder who designs, constructs, and deploys enterprise‑grade agentic AI solutions directly inside customer environments. AFO powers the multi‑agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop. Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers, you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real‑time data grounding systems, perform prompt engineering, manage multi‑agent communication protocols, and deploy automated supply chain and back‑office workflows into production from day one. • Workflow & Multi‑Agent Orchestration: Build, configure, and optimize complex operational workflows using AFO, defining agent reasoning, tool‑calling logic, and conditional execution loops., • Agent Communication Protocols: Implement modern agent‑to‑agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand‑offs, and tool execution across specialized AI agents., • Enterprise AI Grounding Systems: Architect, build, and maintain real‑time data grounding infrastructure using RAG (Retrieval‑Augmented Generation), vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context., • Enterprise Integration & API Management: Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware., • AI‑Assisted Engineering: Leverage modern AI tools (Cursor, Claude, Vibes) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months., • Telemetry & Observability: Model data, ship ETL/ELT pipelines, and build real‑time agent performance dashboards to track execution health, fallback triggers, and business outcomes., • Field‑to‑Product Feedback: Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps., • 3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production., • High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex., • Hands‑on AI & Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data., • Multi‑Agent Systems & API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event‑driven messaging architectures)., • Expertise in process orchestration and API‑led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems., • Solid understanding of data modeling, schema design, and asynchronous message integration patterns., • Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects., • Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents)., • Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform)., • Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle transportation management)., • Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution., • Willingness to travel 25-30% for on‑site deployment with key enterprise accounts., • Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution., • Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures)., • Hands‑on experience with cloud data platforms (Snowflake, Databricks, BigQuery)., • Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments. When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt‑in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr

Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It’s how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage. The infrastructure behind all of this needs to be as resilient and sharp as the intelligence it delivers. We're looking for a Lead DevOps Engineer to own and evolve our DevOps practices. This is a role for someone who combines deep technical ability with a genuine passion for growing the team. You'll lead a team of DevOps engineers while staying close to the technical work, setting direction on infrastructure, automation, and reliability. As a Lead DevOps Engineer at Elliptic, you will have a deep impact across the company by championing DevOps, security, and reliability principles. You’ll help build a culture of automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. Current major projects include delivering AI Gateway and supporting LangChain/LangGraph infrastructure for Elliptic's AI products, managing disaster recovery (DR) infrastructure, and administering Kubernetes clusters across multi-region AWS environments. You’ll work alongside experienced and passionate engineers who enjoy solving tough challenges and learning from one another. This is a hands‑on team Lead role where you will balance technical expertise with team leadership. Elliptic is building an AI fluent workforce. Across our Product, Engineering, Design and Intelligence we’re going beyond giving everyone the tools. We’re setting new standards. Using AI to transform how we build and work every day to deliver on our market opportunity. Put another way our teams iterate alongside agentic systems applying judgement to build world class systems. This role requires 'Transformative' AI fluency. This means you've already made production decisions about how AI systems get built, evaluated, and used responsibly, and you're ready to raise the bar for the engineers around you from day one. • Own the DevOps and Platform roadmap, including Kubernetes platform evolution, application packaging and migration to EKS, and enabling engineering teams to ship reliably to production., • Lead by doing - engineer, review, and enhance Kubernetes and CNCF-aligned infrastructure, setting technical standards., • Architect multi‑cluster, multi‑region environments using Istio/Linkerd, Cluster API, and Kyverno., • Build progressive delivery frameworks with Flux and Flagger for GitOps-driven, canary, and automated releases., • Implement modern provisioning with controllers like Crossplane and ACK for Kubernetes-native cloud integration., • Define and enforce Zero Trust architecture with Vault, Boundary, service identity, and mTLS‑secured meshes., • Engineer policy‑driven automation and compliance using OPA, Kyverno, and secure supply chain configurations., • Establish IaC and GitOps standards, adding automated testing to every infrastructure change., • Prototype agentic infrastructure components, including deployment and observability platforms in service meshes., • Contribute to the Kong AI Gateway, including Dataplane deployments, ACM/SSL integration, and observability via DataDog, • Champion DevSecOps maturity by embedding SAST/DAST, chaos engineering, and error budget monitoring., • Collaborate with Security, Data, and AI teams to shape DevOps and AI platform architectures with regulatory compliance., • Stay ahead of CNCF and AI ecosystem innovations, from eBPF observability to agent‑aware orchestration. We value diverse backgrounds and paths to expertise. If you bring solid experience in several of the areas below, we encourage you to apply even if you don’t meet every detail. • Experience leading or mentoring engineering teams with the ability to set direction and contribute hands‑on., • Strong Kubernetes knowledge, including cluster lifecycle management, API extensions, Operators, Helm, and the broader CNCF ecosystem (Cilium, ExternalDNS, Kyverno, Gatekeeper)., • Designing and operating multi‑cluster, multi‑region Kubernetes platforms with service meshes such as Istio, Consul, or Linkerd and policy‑based workload placement., • Writing Infrastructure‑as‑Code with Terraform on AWS or GCP using modular design, GitOps integration, and automated testing (Terratest, InSpec)., • Implementing GitOps pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi‑environment releases., • Building containerized, serverless, or event‑driven systems with strong observability using DataDog, Splunk, or OpenTelemetry., • Strengthening platform security through Vault‑based secret management, least privilege access, and compliance automation., • Designing CI/CD workflows that include SAST, DAST, policy enforcement, and performance telemetry., • Improving reliability and resilience through SLOs, error budgets, and chaos engineering., • Working knowledge of LLM‑based services and AI infrastructure. You don't need to be an ML engineer, but you should be comfortable deploying, securing, and operating AI Gateways and services (e.g. Kong AI Gateway, LangGraph deployments, or similar), • Are passionate about building secure, scalable, and reliable systems and helping others do the same., • Have a strong customer and product mindset., • Take ownership and make thoughtful, data‑informed decisions., • Enjoy building high‑performing, inclusive, and autonomous teams., • Align technical leadership with business outcomes., • Collaborate openly and continuously seek to learn and grow. The following are genuinely bonus areas. Great if you have them, but not required. • Leading platform modernisation or reliability initiatives in scale‑up or regulated environments., • Experience with Operator development, CRD automation, eBPF, or Cilium for observability., • Expertise in policy‑as‑code using OPA or Kyverno within secure supply chain or CSPM frameworks., • Familiarity with MCP and A2A orchestration patterns in Kubernetes service mesh environments., • Understanding of Agent Gateways and Registries connecting microservices and AI agents., • Background in secure containers, sandboxing, or confidential computing for regulated workloads., • Experience with data‑intensive systems such as Spark, Databricks, or Data Mesh., • Programming experience in Go, Python, or TypeScript., • Contributions to open‑source or CNCF community projects., • Hybrid working and the option to work from almost anywhere for up to 90 days per year, • £500 Remote working budget to set up your home office space, • $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development, • Holidays: 25 days of annual leave + bank holidays, • An extra day for your birthday, • Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully‑paid leave and leave., • Private Health Insurance - we use Bupa!, • Full access to Spill Mental Health Support, • Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries, • Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it’s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don’t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work. #J-18808-Ljbffr

ESTATE OPERATIVE Rendall & Rittner • £25,521 • White City Living - W12 7RQ • Wednesday - Sunday 0600 - 1400 DEVELOPMENT DETAILS Join a landmark West London neighbourhood delivering up to 1,465 new homes, where life runs through 39,000 sq ft of exceptional residents' amenities. From lounges and cinemas to pools and a Health Club with virtual golf, this is a hospitality-grade setting with a constant buzz. The development sits beside White City and Wood Lane Underground stations, bringing a diverse community, frequent visitors and a fast-paced, high-standard environment to support every day. ROLE EXPECTATIONS You will be the visible, proactive face of the estate, keeping communal areas pristine, welcoming residents and supporting the smooth running of daily operations. You will complete cleaning, caretaking and minor maintenance tasks, respond to requests, and work closely with onsite teams and contractors to maintain five-star standards. WHAT SUCCESS LOOKS LIKE Residents feel welcomed, listened to and confident that issues are resolved promptly. Communal areas, facilities and back-of-house spaces are consistently clean, safe and well-presented. Tasks are completed on time with clear updates logged and escalations made when needed. Health and safety procedures are followed precisely, with hazards identified and addressed early. You collaborate seamlessly with the concierge, management and contractors to keep the estate running smoothly. You spot opportunities to improve standards and take initiative to make them happen. HOW YOU'LL SPEND MOST OF YOUR TIME Carrying out scheduled cleaning, waste management and caretaking across internal and external communal areas. Conducting regular inspections, reporting defects and supporting minor repairs or arranging contractor access. Assisting residents courteously, answering queries and signposting to the right support. Setting up and resetting shared spaces, plant rooms and back-of-house areas to agreed standards. Monitoring health and safety, completing checklists and ensuring safe systems of work are followed. Supporting deliveries, keys, storage areas and general logistics to keep operations efficient. WHO THIS ROLE IS FOR You take pride in high standards and notice the details others miss. You are friendly, approachable and calm under pressure, with a can-do attitude. You enjoy active, hands-on work and being on your feet around a large, premium site. You communicate clearly, work well in a team and follow through on commitments. You are reliable, punctual and comfortable working early shifts over Wednesday to Sunday. EXPERIENCE THAT HELPS Experience in estates, facilities, housekeeping, hospitality or leisure environments. Familiarity with cleaning equipment, safe waste handling and basic maintenance tasks. Knowledge of health and safety practices, including risk awareness and hazard reporting. Experience supporting residents or customers in busy, service-led settings. Confidence using radios, handheld devices or basic systems to log tasks and updates. WHAT WE OFFER 20 days holiday plus bank holidays Enrolment into the Rendall & Rittner pension scheme Employee assistance programme supporting family, health, money and work Employee referral scheme Team uniform* subject to development Fully funded training and development opportunities Access to discounts across travel, retail, fitness and entertainment ABOUT RENDALL & RITTNER Rendall & Rittner is one of the UK's most established and highly accredited residential leasehold property management companies, managing over 90,000 homes nationwide. Founded in 1990 on the belief that property management should be more professional, transparent and customer-focused, those principles still drive how we operate today as a founding partner of Odevo. We are people-led and technology-enabled, investing heavily in our teams, systems and continuous improvement. Our standards are recognised through Investors in People Platinum, regulation by RICS and the FCA, and multiple industry awards, including Property Manager of the Year and Managing Agent of the Year. HOW WE HIRE Initial conversation with our talent team Interview focused on your site standards, customer service, health and safety awareness and teamwork We aim to complete the process within two to three weeks and communicate clearly throughout. INTERESTED? Apply with your CV. All applicants must be eligible to live and work in the UK. Documentary evidence of eligibility will be required. Appointment is subject to a valid DBS check. TPBN1_UKTJ

Forward Deployed EngineerApplyremote type: Office - Flexiblelocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: JR346373To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.As a Forward Deployed Engineer, you'll be at the forefront of bringing cutting-edge AI solutions to our most strategic clients. This isn't just about coding; it's about deeply understanding our customers' most complex problems, architecting sophisticated solutions, and leading the end-to-end technical delivery of innovative, impactful solutions that leverage our Agentforce platform and beyond. You'll be a hands-on leader, shaping technical strategy and ensuring successful outcomes.# Your Impact* Drive Tangible Outcomes through Hands-On Implementation: Be responsible for the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding and reviewing the work of junior team members to ensure successful deployment and measurable business impact.* Build Transformative AI Solutions: Take primary ownership of designing, developing, and personally implementing high-quality, scalable production systems. A significant part of this will involve architecting and deploying complex AI and Large Language Model (LLM) based intelligent agents and automated workflows, all built on top of the Salesforce platform.* Engineer Bespoke Agentic AI Solutions: Work directly with customers to design and build custom intelligent agents using the Agentforce platform, ensuring they precisely meet unique business requirements and integrate seamlessly with existing customer ecosystems.* Data Configuration & Integration : Own the entire data lifecycle, from strategic design of data models to hands-on building of efficient processing pipelines and establishing seamless integration strategies. You'll ensure data is always ready, optimized, and secure for our advanced AI applications, often navigating complex enterprise data environments.* Proactively Remove Technical Blockers: Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery, from intricate data integration to sophisticated model deployment and advanced agent orchestration. You'll be the ultimate go-to expert for unblocking progress.* Drive Agentforce Innovation: Become a foremost expert in our innovative Agentforce platform, pushing its capabilities to the limit. You'll lead the development of bespoke intelligent agents, automate intricate business processes, and craft intuitive user experiences. Your insights from the field will directly influence future product enhancements and help shape the strategic direction of our platform, often representing the voice of the customer in product discussions.* Become a Trusted Strategic Partner: Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals. You'll translate these nuanced needs into clear, actionable technical requirements and solution designs, building strong relationships as their primary technical advisor and leading technical discussions.* Conduct Deep-Dive Technical Debugging and Root Cause Analysis: Perform detailed analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviors to optimize performance, ensure reliability, and prevent recurrence of issues.* Lead Rapid Prototyping and Iteration: Quickly develop proofs-of-concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement, setting the pace for rapid delivery.* Implement and Enforce Best Practices: Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions, serving as a technical role model.# Required Qualifications 5+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions in a professional environment Strong background in Computer Science or a related engineering discipline Expert-level proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex) Extensive hands-on experience building and deploying solutions with AI/LLM technologies, including integrating LLMs, applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and experience with agentic frameworks Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery) Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus on fast, impactful delivery, with a proven ability to lead technical initiatives Exceptional collaboration, communication, and presentation skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders Proven ability to lead technical engagements, mentor junior team members, and oversee technical aspects of projects # Ability to travel up to 60% of the time, as needed to customer sites# Preferred Qualifications Extensive experience with Salesforce Data Cloud and/or Agentforce platform Experience developing and deploying conversational AI solutions within highly regulated industries Expert-level experience with Apex and/or Python coding languages in a professional setting Prior experience in a customer-facing, hands-on technical lead or architect role Advanced Salesforce platform certifications (e.g., Platform Developer II, Application Architect, System Architect) Deep knowledge across Salesforce CRM (Service, Sales, and Marketing Clouds) Extensive experience with Salesforce Flows and Lightning Web Components (LWC), including complex custom development Experience contributing to open-source AI frameworks or librariesLI*YUnleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. We build the products that enable the next era of the Internet: making domains Readable, Discoverable, and Callable for autonomous AI agents. Here at Cloudflare, agentic discovery is a core part of our vision for the Agentic Internet. As AI agents change how humans and machines find, evaluate, and act on information, businesses need tools to control how they are represented and reached. We build capabilities that enable website owners to prepare their sites for agent interaction, test and observe how agents read their content, establish open interaction standards (like WebMCP and MCP), and create entirely new channels to reach agentic audiences. We are a cross functional group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. We are looking for a Software Engineer to join our Agentic Discovery team to build the core systems, protocols, and customer-facing tools powering agent-web interactions. • Design and ship production-ready services that enable customers to evaluate, test, observe, and measure how AI agents read, represent, and interact with their websites and applications., • Build and maintain support for emerging agent protocols and integrations (MCP, MCP Apps, UCP, MPP, WebMCP)., • Implement fine-grained content controls (access management, licensing, auditing) and agent-native audience/business models (attribution, monetization, and analytics)., • Write clean, secure, well-tested code, advocate for end-user privacy, and help maintain high system reliability, performance, and documentation., • Partner with software engineers, researchers, product managers, design engineers, and cross-Cloudflare stakeholders to take capabilities from concept to production., • Strong software engineering and distributed systems fundamentals., • Experience building and operating reliable, high-throughput production services., • Solid understanding of HTTP, APIs, proxies, caching, web security, and web performance., • Hands-on experience or deep interest in AI agents, tool calling, Model Context Protocol (MCP), or agent harnesses., • Ability to rapidly prototype, evaluate architectural trade-offs, and ship solutions in a fast-moving, emerging technical domain., • Strong written and verbal communication skills., • Fluency in Rust (with a big plus for experience in async Rust) or TypeScript/JavaScript edge runtimes (e.g., Cloudflare Workers)., • Hands-on experience with search, Answer Engine Optimization (AEO), web crawling, or RAG platform engineering., • Open-source contributions to agent frameworks, protocols, web standards, browser engines, or distributed systems projects., • Past experience contributing to a major web framework, proxy, CDN infrastructure, or bare-metal backend cloud provider., • Proven track record of debugging and resolving network-level and application-level performance bottlenecks., • Understanding of cryptographic concepts (public-key encryption, digital signatures, hash functions) or privacy-preserving web protocols. Compensation may be adjusted depending on work location. • For Portugal based hires: Estimated annual salary is between €54,000 - €75,000., • The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. This role is eligible to participate in Cloudflare’s equity plan. We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e‑mail at or via mail at 101 Townsend St. San Francisco, CA 94107. #J-18808-Ljbffr

Reporting to the Head of Engineering, this senior role leads the operational management, service design, governance and delivery of Chaucer’s Cloud Microsoft 365 intelligent services function. It shapes the overall direction and evolution of M365 services and is accountable for the Power Platform estate, Microsoft Copilot, Copilot Studio, the company Standard Operating Environment (SOE), and the reliable delivery and continuous improvement of M365 platform services. The role requires a service-focused technology leader who combines M365 platform ownership, service design, operational control, engineering oversight and stakeholder engagement. It leads the development of M365 intelligent services, standards, patterns [DC1.1][SC1.2]and roadmaps within the M365 platform domain, working in partnership with the Architecture team to ensure alignment with enterprise direction. The role ensures M365 services are secure, resilient, compliant, supportable and aligned to business priorities while enabling responsible automation, low-code development and AI-assisted ways of working. The role leads internal and third-party resources and provides senior M365 platform design leadership. It works closely with the Architecture team for enterprise design assurance and with the M365 Collaboration & Productivity team, responsible for SharePoint and core M365 productivity tools, to ensure shared standards, service boundaries, roadmaps and dependent changes deliver a coherent end-to-end M365 experience. It also works closely with the Integration, Data and Azure Cloud Operations teams where M365 services depend on enterprise APIs, orchestration services, data platforms or Azure AI capabilities. • Own the M365 service architecture, M365 cloud operations roadmap and service plan, aligning platform direction and priorities to business demand, agreed enterprise architecture, security requirements, technology strategy and the wider CTG operating model., • Provide end-to-end service ownership for the Power Platform estate, including Power Apps, Power Automate, Power Pages and Dataverse, covering governance, administration, environment strategy, lifecycle management, support and operational assurance., • Own the operational platform and service management [DC2.1][SC2.2]of Microsoft Copilot and Copilot Studio, including readiness, controlled adoption, licence and capacity oversight, support, monitoring and continuous improvement., • Lead the delivery, transition and operational acceptance of new or changed M365 cloud services, ensuring requirements, controls, support models, documentation and ownership are established before go-live., • Lead M365 platform design and establish service patterns, guardrails, standards and decision frameworks[DC3.1][SC3.2], seeking Architecture team assurance for material or cross-enterprise decisions., • Define the Power Platform environment, data, connector, solution and application lifecycle management approach, including appropriate separation of development, test and production services., • Ensure Copilot and low-code capabilities are introduced responsibly, with controls for identity, data access, privacy, information protection, records management, auditability and human oversight., • Provide operational leadership as an escalation point for incidents, problems[DC4.1][SC4.2], service risks, capacity constraints, platform health and technical debt across the owned services., • Drive automation, standardisation and self-service where these improve employee experience, operational efficiency and control effectiveness., • Act as the senior platform adviser and escalation point for M365 services, shaping service design and bringing material architecture decisions through the appropriate assurance forums., • Attend change, risk, service and technology governance forums [DC5.1][SC5.2]as required to provide assurance on service health, delivery, adoption, risk and business value., • Shape the M365-side integration and orchestration approach for business processes that span Power Platform, Copilot, enterprise applications and shared data services, working with the Integration and Architecture teams on cross-enterprise patterns and assurance., • Coordinate the use of Azure AI capabilities that extend M365 and Copilot services, ensuring clear ownership, support boundaries, security controls and operational readiness with the Azure, Data and AI platform teams., • Demonstrates a high level of self-awareness through a commitment to continuous personal improvement and learning., • Translates organisational vision into clear M365 service designs, platform choices, roadmaps, measurable goals and delivery priorities., • Provides leadership and direction to M365 cloud operations, M365 platform configuration, [DC6.1][SC6.2]administration and support resources, including third parties., • Creates an inclusive, accountable and service-oriented culture focused on reliable delivery, engineering discipline, customer experience and continuous improvement., • Anticipates changes across the Microsoft cloud roadmap and assesses their implications for service design, security, operations, licensing, adoption, skills and business value., • Balances pace of adoption with resilience, cost, risk, supportability and platform sustainability., • Builds strong partnerships across Security, Architecture, Data, Service Management, End User Computing, Product, TMO/Change[DC7.1][SC7.2] and business teams., • Motivates the team to deliver high-quality services and takes accountability for operational outcomes and decisions., • Define and maintain the M365 service architecture, reference patterns and strategic roadmap, working with the Architecture team to ensure alignment with enterprise architecture, security, data and integration strategies., • Provide senior platform design leadership across the M365 service landscape, including services owned by this role and dependencies with SharePoint and core productivity tools., • Shape the future M365 service portfolio by assessing Microsoft roadmap developments, business demand and emerging capabilities, and translating them into investment choices and sequenced roadmaps., • Lead M365 service design decisions and coordinate design assurance for material changes, working through the Architecture team and relevant governance forums where decisions have enterprise or cross-domain impact., • Define M365-specific design principles and patterns for identity, information protection, data, integration, automation, extensibility, endpoint management and AI-enabled services, within agreed enterprise architecture guardrails., • Advise senior technology and business stakeholders on M365 service options, trade-offs, risks, opportunities and recommended direction., • Work with the M365 Collaboration & Productivity Lead to establish a joined-up M365 service design and roadmap while retaining clear operational accountability., • Define how Power Platform, Copilot Studio and M365 services consume enterprise APIs, events, data services and orchestration capabilities, favouring approved reusable services over point-to-point integrations., • Work with Azure, Data and AI platform owners to assess where Azure AI services are required to complement Microsoft Copilot or Copilot Studio, and to establish appropriate design, lifecycle, monitoring and support arrangements., • Own service performance and operational delivery for the in-scope cloud M365 intelligent services, ensuring agreed service levels, controls and support outcomes are achieved., • Establish clear service definitions, ownership, support models, operational documentation, runbooks, escalation paths and service acceptance criteria., • Act as an escalation path for M365 incident, problem, [DC8.1][SC8.2]change, release, request, knowledge, capacity and continuity processes for the owned M365 platforms., • Manage demand and delivery priorities across platform operations, engineering improvements, business enablement, risk reduction and mandatory change., • Coordinate service communications, release readiness and user-impacting change with the owner of SharePoint and core M365 productivity services., • Provide technical oversight of tenant configuration and administration for the owned M365 services, ensuring configuration is controlled, documented and aligned to approved architecture and security standards., • Ensure Power Platform environments, connectors, gateways, data policies, managed solutions and lifecycle controls are consistently governed., • Ensure Copilot Studio agents, actions, knowledge sources, connectors and publishing routes are subject to proportionate design, security, testing and release controls., • Oversee the SOE across managed endpoints, including policy baselines, device configuration, application deployment, patching and update rings., • Embed monitoring, telemetry, audit logging, recovery, continuity and operational resilience across the owned services., • Maintain technical currency and reduce unsupported configurations, duplication, operational debt and avoidable complexity., • Partner with the Architecture, Security and Data teams to ensure M365 designs align with Chaucer’s enterprise direction and required controls are embedded., • Oversee the operational dependencies between M365 services and enterprise integration, orchestration and Azure AI components, ensuring monitoring, incident ownership, change coordination and recovery responsibilities are clear., • Ensure connectors, APIs, custom actions, agent integrations and automated workflows are governed, documented and managed through appropriate testing, release and lifecycle controls., • Manage the operational performance of Microsoft and relevant delivery or support partners against contractual commitments and service expectations., • Contribute to supplier selection, due diligence, onboarding and service reviews for M365, Power Platform, Copilot and end-user computing capabilities., • Oversee licence, capacity and consumption information for the owned services, identifying opportunities to improve utilisation and control cost., • Hold third parties accountable for delivery quality, knowledge transfer, documentation, security and sustainable operational outcomes., • Collaborate with senior management, business stakeholders and delivery teams to understand needs, shape demand and agree priorities., • Explain platform choices, constraints, risks and opportunities in clear language for technical and non-technical audiences., • Build effective communities of practice for Power Platform makers, Copilot users, administrators and support teams., • Promote responsible adoption through targeted guidance, communications, training and reusable patterns., • Identify, assess and mitigate operational, security, compliance, resilience, data, licensing and supplier risks across the owned services., • Design and embed robust controls for privileged access, environment management, data loss prevention, connectors, agent publishing, change and service operation., • Ensure evidence is available to demonstrate control operation, auditability and compliance with company policies and applicable regulatory obligations., • Maintain service risks, exceptions and remediation plans, escalating material concerns through the appropriate governance forums., • Establish and monitor KPIs and service measures covering M365 intelligent service availability, platform health, adoption, user experience, delivery throughput and cost., • Measure the value and effectiveness of Power Platform and Copilot services through business outcomes and value. Such as time saved, process improvement, reuse, risk reduction and user satisfaction., • Monitor platform growth, licence utilisation, capacity, technical debt and support demand to inform investment and prioritisation., • Provide clear, evidence-based service reporting and improvement plans to CTG leadership and relevant governance forums., • Creates an inclusive environment that values individual differences and leverages diversity., • Relevant experience leading Microsoft 365 cloud operations, M365 platform engineering or intelligent service delivery in a complex organisation, ideally within insurance or another regulated financial services environment., • Demonstrable knowledge of Power Platform governance and administration, including environments, Dataverse, connectors, data policies, solution lifecycle management and operational support., • Practical understanding of Microsoft Copilot and Copilot Studio service design, enablement, governance, administration, support and responsible adoption., • Strong knowledge of modern endpoint management and SOE disciplines, including device configuration, policy management, application deployment, patching and release management., • Good understanding of identity, access management, information protection, security, compliance, audit and operational resilience in the Microsoft cloud., • Proven ability to lead multidisciplinary internal and third- party teams and to manage service performance, priorities, suppliers and budgets., • Strategic problem-solving and service design capability, with the ability to assess options, shape future states, make evidence-based trade-offs and translate them into practical road maps and delivery plans. Chaucer is a leading insurance group at Lloyd's, the world's specialist insurance market. We help protect industries around the world from the risks they face. Our customers include major airlines, energy companies, shipping groups, global manufacturers and property groups. Our headquarters are in London, and we have international offices in Bermuda, Copenhagen, Dubai and Singapore to be closer to our clients across the world. To learn more about us please visit our website. Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics which are outlined in the Equality Act 2010 (UK legislation) as a result of the Equal Treatment Directive 2006 (EU legislation). A diverse workforce and an inclusive workplace are core to our success as a business and integral to our winning strategy and culture. We recruit from the widest available pool of talent, and our hiring, assessment and selection process is fair, free from bias and one which ensures we select the right person for the job, based on merit. We are committed to promoting a culture that actively values difference, and recognises that everyone has the right to be treated with dignity and respect throughout their employment. We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process. #J-18808-Ljbffr

Lead Machine Learning Scientist, SearchMonzo115k–150k GBPPart-timeremote· leadUKpythonsqlgoListed via Jobicy · posted 23 Oct 2026. The application happens there, not on DevConnect.Apply on Jobicy## DescriptionWe’re on a mission to make money work for everyone.We’re waving goodbye to the complicated and confusing ways of traditional banking.After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!We’re not about selling products - we want to solve problems and change lives through Monzo London/Cardiff/UK Remote | £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits About our Machine Learning Search TeamWe are currently embarking on one of our two top strategic priorities to make Money work for Everyone: building the Monzo Co-pilot. We are becoming an intelligent, proactive ally that handles the complexity of users financial life. We aren't just selling financial products; we are building a truly smart agent that understands users, anticipates their needs, and helps people reach their financial goals.Our ML Search team brings together Backend, Product, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll build and ship models that help customers search for and find answers about their financial lives. You'll make it effortless for them to find the right products at the exact moment they need them.Whether it’s surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first.What you’ll be working on:As a Lead Machine Learning Scientist, you'll be a technical leader and individual contributor. We have a modern, cloud-native data platform with billions of rows of data built for fast iterations. You'll leverage your deep expertise to develop and deploy advanced ML models to our more than 15 million customers.Your work may involve user and product embeddings to better understand customer behaviours, contextual bandits for optimising real-time decisions, or personalised ranking algorithms that improve search and discovery. You'll also build scalable, explainable, and responsible AI solutions that enhance trust, transparency, and the overall customer experience.The technical approaches you take to help solve customer problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs.You should apply if:What we’re doing here at Monzo excites you!- You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company- You have experience developing and shipping state of the art ML models to production and delivering business impact- You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production- You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so- You speak Python fluently and have extensive, hands-on experience with scikit-learn. You are comfortable using SQL, and keen to learn Go lang which is used in many of our backend microservices- You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity- You want to be involved in building a product that you (and the people you know) use every day- You have a product mindset: you care about customer outcomes and you want to make data-informed decisions- You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain- You’re adaptable, curious and enjoy learning new technologies and ideasNice to haves:- Experience working on personalisation, ranking & recommendation problems for consumer applications- Commercial experience writing critical production code and working with microservicesThe interview process:Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!30 minute recruiter call45 minute call with hiring managerFull Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interviewOur average process takes around 3-4 weeks but we will always work around your availability.What’s in it for you: We can help you relocate to the UK We can sponsor visasThis role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.Learning budget of £1,000 a year for training courses and conferencesAnd much more, see our full list of benefits hereIf you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance#LI-REMOTE #LI-SR1Equal opportunities for everyoneDiversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.If you have a preferred name, please use it to apply. We don't need full or birth names at application stage #J-18808-Ljbffr

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. We build the products that enable the next era of the Internet: making domains Readable, Discoverable, and Callable for autonomous AI agents. Here at Cloudflare, agentic discovery is a core part of our vision for the Agentic Internet. As AI agents change how humans and machines find, evaluate, and act on information, businesses need tools to control how they are represented and reached. We build capabilities that enable website owners to prepare their sites for agent interaction, test and observe how agents read their content, establish open interaction standards (like WebMCP and MCP), and create entirely new channels to reach agentic audiences. We are a cross functional group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. We are looking for a Senior Software Engineer to serve as a technical anchor and become a subject matter expert on our Agentic Discovery team. In this role, you will define the architecture, core protocols, and multi-team standards powering the next generation of agent-web interactions. As a senior technical leader, you will shape product roadmaps, mentor engineers across Cloudflare, and write technical specifications that drive execution across multiple teams. You will drive engineering excellence across edge infrastructure, data pipelines, protocol layers, and developer tooling, ensuring systems are resilient and complexity is reduced for your peers. • Architect and ship high-throughput, resilient production services that make web properties Readable (structured content transformation), Discoverable (indexing and AEO), and Callable (WebMCP, tool-calling APIs, Generative UI) for autonomous agents., • Define emerging agent protocols and integrations (MCP, MCP Apps, UCP, MPP, WebMCP). Author architectural specifications and technical designs that guide engineering work both within and outside the ETI team., • Partner directly with Product Management, customers and stakeholders to translate customer needs into technical requirements, clarify KPIs, and shape engineering roadmaps., • Drive improvements in system health and observability. Lead complex incident responses, conduct post-incident retrospectives, and rearchitect systems to eliminate failure modes and minimize customer-escalation issues., • Elevate the engineering process across Cloudflare through code reviews, technical mentorship, architectural governance, and candidate evaluation for engineering hiring., • Experience designing scalable system architecture and setting performance metrics in a distributed environment., • Experience writing technical specifications and leading cross-functional technical initiatives to completion., • Deep understanding of HTTP, APIs, proxies, caching, web security, and performance bottlenecks spanning multi-service architectures., • Hands-on experience and deep conceptual understanding of AI agents, tool calling, Model Context Protocol (MCP), or agent harnesses., • Ability to partner with product managers and customers to navigate ambiguous problem spaces and iteratively deliver large-scale architecture., • Experience mentoring junior and mid-level engineers, contributing to hiring, and driving improvements to engineering processes and incident response workflows., • Fluency in async Rust or TypeScript/JavaScript edge runtimes (e.g., Cloudflare Workers) at scale., • Active contributions to or leadership in open-source agent frameworks, protocols (e.g., MCP), web standards bodies, browser engines, or network proxies., • Track record of resolving complex, multi-team production incidents and driving post-mortem recommendations to completion., • Background in search engines, Answer Engine Optimization (AEO), web crawling at scale, or RAG platform engineering., • Expertise in cryptographic protocols (public-key encryption, digital signatures) or privacy-preserving web architectures. Compensation may be adjusted depending on work location. • For Portugal based hires: Estimated annual salary is between €66,000 - €91,000., • The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. This role is eligible to participate in Cloudflare’s equity plan. We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states. We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend St. San Francisco, CA 94107. #J-18808-Ljbffr

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry‑defining enterprises like Avis Budget Group, Block’s Cash App, Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world‑class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in‑office company, driven by a shared commitment to excellence and velocity. Our values – Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle – shape how we work and grow as a team. As part of Decagon’s founding Implementations Team, you will build and scale the function that delivers world‑class AI Agents for our customers. You will own the strategy and execution for implementing Decagon across complex enterprise environments, ensuring every deployment is smooth, impactful, and sets the foundation for long‑term customer success. You will design and own the implementation playbook, creating the frameworks, processes, and standards that make deployments repeatable and scalable as we grow. You will continuously improve how we deliver by leveraging AI tools, automation, and strong operational design to increase efficiency and reduce time to value. You will partner closely with customer teams to understand their workflows and goals, and work cross‑functionally with Sales, Product, and Engineering to translate those needs into successful implementations. You will guide complex rollouts, align stakeholders, and ensure every launch delivers measurable impact. • Lead enterprise AI Agent implementations from kickoff through rollout, driving execution, adoption, and business outcomes., • Design implementation strategies tailored to each customer’s goals and technical environment., • Build and own the Implementation playbook, including the processes and standards that enable scalable, high‑quality deployments., • Improve speed, quality, and consistency across implementations by identifying bottlenecks and introducing better systems, tooling, and automation., • Partner cross‑functionally to scope requirements, configure solutions, and feed insights back into Product., • 4+ years in implementations, consulting, onboarding, project management, or customer‑facing technical roles., • Experience leading complex software or AI implementations with measurable results., • Technical fluency with SaaS platforms, integrations, and APIs., • Strong operational instincts with experience building scalable processes or playbooks., • Clear communicator who can work effectively with both executives and operators., • Highly organized and comfortable bringing structure to ambiguity in a fast‑paced environment., • Experience deploying AI, automation, or customer service platforms., • Familiarity with enterprise systems such as Zendesk or Salesforce., • Experience building a new function or operating model from the ground up., • Power user of AI tools who uses them to transform workflows, increase leverage, and drive meaningful efficiency gains., • Medical, dental, and vision benefits, • Generous time off, including 20 days statutory annual leave, 8 UK public holidays, and a company‑wide holiday break, • Daily lunches, dinners and snacks in the office to keep you at your best Compensation Range: £105K - £140K #J-18808-Ljbffr

As a Senior Platform Architect, you will serve as the technical strategist helping our largest enterprise customers and prospects unlock the full potential of the AI-powered Zendesk Resolution Platform. You will design and architect next-generation service solutions that drive measurable business outcomes, transforming traditional support centers into highly efficient, Autonomous Service Workforces. Simultaneously, you will act as a critical technical advisor to our enterprise sales organization, providing best practices and technical architecture guidance, driving POC’s and helping secure the technical win to exceed new bookings, expansion, and customer retention targets. • Strategic Value & Executive Advisory Executive Technical Value: Partner with sales engineers , account executives and business consultants to drive strategic discussions, effectively communicating complex technical architecture and solutioning along with the business value of AI to C-suite and director-level executives., • ARR & Pipeline Impact: Serve as a high-impact technical overlay resource, driving ARR through automated resolutions by conducting strategic technical discovery, scoping, and successfully managing complex Proof of Concepts (POCs) for key expansion and cross-sell opportunities., • Positioning Zendesk Headless: You would be responsible to demonstrate the power of Zendesk headless technology and help customers embed Zendesk deep into their workflows inside and outside of the core platform via MCP and A2A technology., • AI & Platform Architecture Autonomous Service Deployment: Master and deploy the Zendesk Agent Builder and Action Builder to architect multi-step, agentic workflows, helping customers reach and exceed an 80% automated resolution target., • Ecosystem Integration & Connectivity: Architect modern integrations connecting the Zendesk platform to external AI platforms and enterprise applications. Design these connections utilizing the Zendesk MCP (Model Context Protocol) Server, comprehensive APIs, and advanced Integration Platforms as a Service (iPaaS), while applying scalable enterprise integration patterns., • Knowledge & Memory Engineering: Leverage Zendesk's Context Graph (operational memory layer) and Knowledge Graph connectors to integrate unstructured, federated enterprise data sources (e.g., SharePoint, Confluence, Google Drive) into the customer’s AI ecosystem without data migration., • Cross-Functional Leadership & Delivery The "Road to 80%" Methodology: Lead the critical technical hand-off between pre-sales and post-sales implementation teams, ensuring long-term AI deployment success, continuous quality assurance via AI Quality Scores, and ongoing expansion., • Subject Matter Expert (SME): Act as the organizational authority on Zendesk platform security, planetary scalability, custom data models, and Zendesk Copilot implementations., • Product Liaison: Partner directly with Product Engineering, Product Marketing teams to serve as a feedback loop, directly shaping the future roadmap of the Zendesk AI architecture., • Core Experience & Business Acumen Solutions Architecture & Consulting: 8+ years of experience in enterprise system/solution architecture, technical presales, or professional IT consulting services., • AI & Large Language Model (LLM) Literacy: Exposure to or hands‑on experience with experience architecting and deploying generative AI solutions, prompt engineering, Retrieval‑Augmented Generation (RAG) frameworks, and Agentic AI reasoning systems., • Modern API & Integration Proficiency: Advanced expertise with RESTful APIs, JSON implementations, web services, database design, data modeling, and Model Context Protocol (MCP) configurations., • Infrastructure & Security Cloud Ecosystems & iPaaS: Deep familiarity with cloud environments (AWS, Azure, GCP) and experience orchestrating enterprise-wide data utilizing iPaaS applications., • Enterprise Security & Compliance: Comprehensive knowledge of Single Sign-On (SSO) configurations, OAuth, advanced data privacy frameworks, and token‑based AI authentication capabilities., • Technical Web Stack: Solid understanding of frontend and scripting capabilities (HTML, CSS, JavaScript) and modern SaaS application development architectures., • Soft Skills & Leadership Exceptional Communication: Proven track record of influencing senior stakeholders, distilling highly technical AI concepts into business outcomes, and delivering flawless technical presentations both onsite and remotely., • Thriving in Fast-Paced Environments: Ability to prioritize multiple complex, concurrent transformation accounts while maintaining a proactive, can‑do attitude., • Enterprise Software Implementation: Previous experience managing large-scale implementations of enterprise class Customer Service software or ITSM platforms., • Advanced Analytics & Business Intelligence: Experience utilizing advanced diagnostic analytics systems for root‑cause and trend analysis., • Modern Frontend Frameworks: Familiarity with modern JavaScript frameworks such as React, Vue, or Node.js to assist in custom app development., • Practical experience using AI‑augmented tooling (e.g., Claude Code, Cursor) to enhance daily productivity, scale technical output, and model AI best practices., • Strong sales acumen and prior experience in a technical pre‑sales or solutions architecture role within an enterprise SaaS or CX environment., • Experience with platforms such as Salesforce Service Cloud, ServiceNow, Intercom Fin, or Freshworks is highly desirable. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre‑employment testing, or otherwise participate in the employee selection process, please send an e‑mail to with your specific accommodation request. Zendesk is on a mission to simplify the complexity of business and make it easy for companies and customers to create connections. Our customer experience software unlocks the power of billions of interactions, enabling businesses to build rich, meaningful relationships with their customers. What’s it like to work here? Our offices reflect the global cities we call home, and have spaces for collaboration, quiet, and events. With our hybrid approach, you’ll experience flexibility and connection, collaboration, and learning with your team. We’re aware of an increase in recruitment scams where individuals falsely claim to represent Zendesk. These scammers may ask for money or personal information by offering fake job opportunities through e‑mail, text message or social media. Please verify the source of any job‑related communications carefully. All official Zendesk communications are conducted through "@zendesk.com" email addresses. If you encounter suspicious messages, do not respond and report them to . #J-18808-Ljbffr

At Productboard, we're building the first agentic product management system. We're rethinking how product management is done in a world full of AI agents, and how we help our customers build what matters for their audience. We're looking for a Staff Product Manager to own that intersection and the core experience around it: a hands-on senior IC from an AI-first product company who owns roadmapping, prioritization, and customer engagement end to end Know the customer better than anyone. Understand how modern product organizations actually work, and where structure plus an agent removes work rather than adding tooling. Bring that to every prioritization call. Own the core experience for roadmapping, prioritization, and customer engagement. Set the strategy, roadmap, and the metrics that show these use-cases deliver real value, not novelty. Own how product teams and their stakeholders work together in Productboard, partner closely with designers so people reach the value they came for without friction, and say no when a local decision fragments the whole. Own the intersection where Spark meets structured UI. Decide where Spark acts and where it proposes, how people review and correct its work, and how its output lands in the roadmaps, priorities, and customer records teams already rely on, so Spark and the core feel like one product. Rebuild the workflows for an AI-first operating model. Rethink what roadmapping, prioritization, and customer engagement look like when an agent does part of the work, and ship the new default rather than a smarter version of the old one. Drive key initiatives across teams. Take on the problems bigger than any one squad: a roadmap that stays current as Spark processes feedback instead of being rebuilt every quarter, prioritization where Spark proposes and the team decides with full visibility into why, a customer loop that closes without a PM copying between tools. Frame them, align the org, ship, and measure whether it worked. Design durable platform foundations with engineering. Translate use-cases and needs into the necessary architecture, data model, or API changes, and build systems simple enough to use today and built to last. Prototype in code by default. When words aren't settling a debate, build the flow with AI coding tools and put it in front of customers. Raise the bar. Be the first user of Productboard and Spark for your own work, and mentor other PMs through pairing and example. 8+ years in product management, all of it hands-on. A senior individual contributor on complex products, with meaningful time in enterprise B2B SaaS, and a product area that is visibly better because you owned it. Proven owner of a core product area. You've owned strategy and outcomes for a foundational part of a product, such as planning, prioritization, or customer-facing workflows, and shipped systems other teams built on. Deep customer empathy. You're highly skilled at user research and you know how product organizations really work, including the messy parts. Systems thinker with technical depth. You reason comfortably about data models, APIs, and architectural trade-offs, and you can hold the whole system in your head while deciding about one part of it. Strong in information architecture, structured UI, and collaboration. You've built complex, structured products that many roles use together in different ways, in close partnership with Design, and you know how to make structure feel simple and working together feel effortless. Exceptional product and design taste. You know what frictionless feels like, you can tell simple from simplistic, and you hold the bar for the final experience, not just the spec. Agentic products experience. You've shipped products where an agent does real work on the user's behalf, wrestled with trust, control, and quality evaluation, and have real opinions on where agents belong in structured enterprise software and which parts of product management are worth rebuilding around them, because you use the newest ones the week they ship. AI-first in how you work. AI agents are how you research, synthesize, analyze, and prototype every day. When a debate needs settling, you build it with Claude Code, Cursor, or whatever fits. You've lived through a team's shift to AI-first ways of working and you know what it takes to make it stick. Founder mentality, low ego. You own outcomes end to end, turn ambiguity into clear decisions, stand up for what's right with challenging stakeholders, and work in the open with designers and engineers as peers. Strategic communicator. You can explain a hard structural change to an executive, an engineer, and a GTM team, and each leaves clearer than they arrived. • 5 weeks of paid time off per year, • 9 paid sick days per year, also for mental-health days, • 1 paid Volunteer Day per year, • Stock options USD 300 per year, • professional development stipend, • Mental wellness program with online therapy sessions, • Carrot: fertility, adoption and family-forming support for you and your partner (pregnancy, postpartum and menopause support in the UK and Ireland), • One-off home-office stipend (amount by location), • Monthly fitness or wellness support (form by location), • Free 1Password Families account, • Annual company retreat and team off-sites, • Private medical insurance with Vitality, • Scottish Widows workplace pension: 5% employer and 4% employee contribution, auto-enrolment, • Life insurance (death in service) with Canada Life, • Income protection with Canada Life: 66.67% of salary, payable after 26 weeks 2 weeks of paternity leave at full pay, • Gym stipend: GBP 42 monthly gross allowance, • One-off home-office stipend of GBP 400, • Multisport card, with options for a +1 and children, • Catered lunches in the office every working day, always with a vegetarian option #J-18808-Ljbffr

We're building governance and security infrastructure for a world of increasingly capable and widely proliferated agents. The world is undergoing a fundamental shift: every day more work is being done autonomously by AI. This is true for enterprises but also for the adversarial actors who seek to disrupt their operations through cyber attacks. The only way to keep up is to use AI intelligently to govern internal deployments and defend against offensive threats. HelmGuard will be the platform which businesses use to do both. We've grown to seven-figure revenue within 9 months of product launch, on the back of multi-year contracts with leading enterprises in financial services, regulated technology, and healthcare. Our founders come from Palantir and academic institutions: Oxford, Stanford, and ETH. We're backed by leading UK and US institutional investors and exceptional angels from Meta, Isomorphic Labs, Palantir, SpaceXAI, and more. We're hiring across founding-team roles for people who want outsize impact, the influence over direction and culture that comes only from joining this early, and pre-Series A equity upside. • In-office 4 days a week (with flexibility for things like school drop-off), • Wanting to own outcomes and to take on the hours required to do so, • Having an existing right to work in the UK (we do provide visa support for applicants already working in the country) You will build the next module or feature that our customers come to rely upon. You will own it end to end, from idea conception to database design to agent evaluations. In a world where the marginal line of code is too cheap to meter, you are the engineer with taste deciding what should be written. As the name suggests, this role encompasses everything to do with building the product. That means that you’ll need to understand our platform and what our customers want. You’ll then use that model to decide what we should build next, and then you will go and build it, in collaboration with the rest of the engineering and forward-deployed engineering teams. Importantly, you'll work autonomously with little guidance, so experience and agency are highly valued! • Ship customer-facing product end to end: frontend, backend, and new agents, • Own features from ideation through design, build, and customer feedback, • Leave the codebase better than you found it, • Be very curious and AI-forward. We love people who are curious and think deeply about where AI is best used in SWE, • Be security-first, ensuring properties like multi-tenant isolation, • 5+ years shipping production software across the stack in fast-moving teams, • Experience with TypeScript or an adjacent stack with appetite to switch, • Ability to work full-stack, • AI-native working style, • Experience folding LLM features into a product (this could be internal-facing as well), • Experience in GRC, security or AI governance, • Early-stage or founding-team experience, • Real design chops, • You can’t explain a SaaS architecture in detail using system design principles, • You haven’t taken the chance to compare the performance of multiple LLMs on your daily coding tasks, • You haven’t tried to solve a problem with the current coding scaffolds (like Claude Code), • You’ve only shipped frontend or backend (not both) We value a diversity of perspectives and experiences. We also hold a small set of core beliefs that reflect how we operate, and share them transparently with candidates so the fit is clear from the outset. Put Customers First. Our customers buy outcomes from us, not features. We judge every decision by whether it delivers on that promise. Take Ownership. Founding-stage means problems don't come pre-scoped. You see something that needs doing, scope it, ship it, own the outcome. We expect this from everyone, and provide you with the backing to execute on it. Work Hard, With Gratitude. This is the most consequential window ever for building a business. We work hard because the opportunity is rare, and we do it with gratitude for the moment, for the people we get to build it with, and for the customers willing to bet on us this early. Say the Silly Thing. The best ideas usually start out sounding half-baked, so we'd rather you say the silly thing than sit on it. We want you opinionated and willing to argue, and just as willing to change your mind when someone makes a better case. Disagreement here is a contribution, not a risk. Location. King's Cross, London (Gridiron building). We put a large value on in-person collaboration. Our default policy is 4 days a week in-office, with one day remote (i.e. 4+1). Compensation. Top decile for the London market, with meaningful EMI-eligible options. Perks. Daily team lunch and specialty coffee, a roof terrace overlooking King's Cross, on-site showers for those who enjoy active commuting, and serious per-engineer AI tooling and API budgets. Interview process. Three stages: behavioural phone screen, technical phone screen, and a paid on-site work trial. Target turnaround is under two weeks from first conversation. Tech Stack. TypeScript, Node.js, React, Tailwind, OpenAPI, Express, Azure (Container Apps, Service Bus, Front Door, Entra ID), Postgres, Terraform, GitHub Actions, Docker. Anthropic-first AI with in-house evals and scaffolding. Claude Code throughout, but we also use Codex and are open to other scaffolds. Relocation. We are not currently in a position to help candidates relocate to London from outside the country if they require visa sponsorship to do so. We can help candidates who already hold a UK visa transfer it to us. #J-18808-Ljbffr

London Full time Hybrid Engineering At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. The GenAI Platform team sits within Platform Engineering. We build the shared infrastructure that helps product teams develop, evaluate, deploy and operate GenAI safely at scale. Our scope includes the GenAI gateway, model and prompt lifecycle, evaluation, observability, cost controls and guardrails. We work closely with ML Platform, which supports core machine learning workflows, and Agentic Platform, which provides agent orchestration, state management and tool integration. Together, we give product teams a consistent foundation for user-facing AI experiences and autonomous agents. We work in small teams with significant ownership, empowering you to directly shape system architecture, technical direction, and platform evolution. Learn more through our Engineering Blog, Tech Radar, and YouTube channel. GenAI is central to Preply's product strategy. As a Senior ML Platform Engineer, you'll design and build the systems behind production GenAI workloads. You will drive the expansion of our GenAI Platform, and turn recurring engineering needs into reliable self-service capabilities. This is a hands-on senior role with broad technical influence. You'll write production code, shape platform abstractions and operational standards, and partner with Applied Science, Data, Product, Security and Engineering teams. In this role, your responsibilities include: Architect unified gateway with automated routing, quota controls, and resilient fallback systems across model vendors. Drive system efficiency and low latency via dynamic traffic management, response caching, token budgeting, and cost allocation controls. Establish robust evaluation mechanisms to guarantee high precision, stability, and safety in model outputs. Deliver system observability, providing deep tracing, performance telemetry, cost analytics, continuous monitoring, and alerting across GenAI lifecycles. Standardize prompt engineering workflows with automated versioning, automated testing, governance, and CI/CD integrations for production delivery. Embed platform guardrails alongside Security and Privacy experts to enforce policies, and safe production defaults automatically. Maintain sustainable incident response, blameless postmortems, and comprehensive monitoring for GenAI stacks. Proven track record (5+ years) designing, building and operating backend services or ML infrastructure handling production traffic. Strong Python skills and experience building developer-facing APIs/SDKs or shared libraries Practical experience with GenAI systems, including vector retrieval, external provider APIs, and common issues. AI Expertise: You're a forefront user of Agentic AI. You're able to bring hand‑on experience and start influencing the team beyond code generation; reserving judgment for architecture, business logic, and security, using AI as a thought partner and being able to set up quality gates and safety nets to enhance existing engineering workflows and propose AI-native alternatives. Sound knowledge of distributed systems, including high availability, concurrency, caching and rate limiting. Experience with at least one major public cloud, its services and infrastructure (preferably AWS). Hands‑on experience with distributed tracing, system telemetry, SLOs, and incident triage. Strong communication skills and at least C1 English level, plus willingness to join a paid on‑call rotation. Experience operating AI gateways or scalable model serving infrastructure. Familiarity with evaluation suites, prompt management, vector databases, or customized GenAI observability tooling. Experience with Metaflow, Databricks, or AWS SageMaker. Knowledge of hosting open-source foundation models, optimizing GPU compute, dynamic scaling, and infrastructure cost controls. Familiarity with agentic workflows, multi-agent frameworks and tool-use patterns. An open, collaborative, dynamic, and diverse culture; A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; Access to Gympass-partnered wellness and gym centers throughout London to promote and support well-being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. #J-18808-Ljbffr

Benefits: £21,000 with a rent free 2-bedroom apartment on-site, plus excellent Colleague benefits Hours: Monday to Friday 09:00 am - 17:00 pm Location: Homebridge House, Salisbury Road, Fordingbridge, Hampshire, SP6 1JJ About the role Churchill Estates Management are offering an exciting opportunity for someone who loves working with people, coupled with a background in administration and customer service to join our retirement development as the Residential Development Manager. This 'live-in' position is a varied and interesting role that provides you with the chance to make a positive difference every day to the lives of our Home Owners. By being a 'friendly neighbour', you'll be organising activities, co-ordinating the development, managing contractors, completing health and safety checks and much more! Reporting to the Area Manager, you'll be managing both the maintenance of the property and providing a first-class service to Owners. You'll be the trusted, 'go-to' person on-site, liaising with a range of customers, contractors, suppliers and internal Churchill Colleagues. This role is pivotal to the success of the Lodge, the enjoyment of Owners and is hugely rewarding. Please note this role is residential so requires you to live on site About you Your circumstances will be such that you are able to live on-site, in the apartment provided, rent-free. Your passion for excellent customer service is vital. With the focus on providing a happy and fulfilling lifestyle for the Owners, you'll have an outgoing and friendly personality with a love of people. You'll know when to act with sensitivity and diplomacy but also have the efficiency and assertiveness to manage the safety and the security of the development, displaying good judgement and the ability to be calm under pressure. Despite the high levels of social contact with residents, you will be happy working alone and independently, using your own initiative. To support with the organisation of events and to effectively administer the maintenance of the site, you'll be an accomplished administrator and computer literate, with previous experience of using Microsoft Office applications, including Outlook. This position is ideally suited to people with experience of similar backgrounds such as retirement living, social housing, hospitality, uniformed services, charity and health & social care sectors. A successful Lodge Manager is someone who loves to work 'front of house' and is focused on providing a first-class customer service with excellent administration skills. How you'll be rewarded Remuneration includes a rent-free, 2-bedded apartment plus £21,000 per annum Your partner is welcome Annual holiday entitlement of 24 days + Bank Holidays A day off on your Birthday Life Assurance Eye Care reimbursement Colleague Introduction reward scheme T horough induction programme and ongoing training Professional development and qualifications About us We are Churchill Estates Management, a progressive managing agent of privately owned leasehold Retirement Living accommodation. We manage over 200 developments nationally. That means we oversee more than 8000 apartments, providing property services and customer care to over 10,000 retired people. However, we are not stopping there, as we are rapidly growing and have ambitious plans for the future. Join us and be part of a professional, award winning, customer focused team. Our Company Values TORCH: Trust/Openness/Respect/Communication/Honesty We are looking for the very best people to join our business and adopt our values so if you want to be part of our success story apply today. We understand the importance of protecting your personal data when you submit a job application. For more information on how we process your personal data please read our Privacy Policy. TPBN1_UKTJ

We're building agent-native risk infrastructure: risk management and trust building, delivered by AI agents, for a world increasingly run by them. As more decisions and transactions run through agents, the volume of risk to manage and trust to establish is growing very fast. Today both functions are fragmented, split across internal teams, point products, and outside consultants, and rebuilt from scratch whenever someone needs an answer. HelmGuard brings them onto one platform and runs them continuously: our agents sit on top of proprietary data and reassess as conditions change, rather than at fixed checkpoints. So our customers spend their time deciding and acting on what matters, not assembling the evidence to get there. Hundreds of billions of dollars are spent across risk management and trust building annually. These funds are going to be reallocated to agent-native solutions in the next five years, and we will capture that spend. We've grown to seven-figure revenue within months of product launch, on the back of multi-year contracts with leading enterprises in financial services, regulated technology, and healthcare. Our founders come from Palantir and academic institutions: Oxford, Stanford, and ETH. We're backed by leading UK and US institutional investors and exceptions angels from Meta, Isomorphic Labs, Palantir, SpaceXAI, and more. We're hiring across founding-team roles for people who want outsize impact, the influence over direction and culture that comes only from joining this early, and pre-Series A equity upside. In this role, you'll be the critical node for our platform's adoption. Once a customer signs, it's on you to make them successful. You’ll expand the relationship, and turn each account into a reference customer that defines how we sell to everyone who comes after. The customers you make successful in year one become the basis of everything we build in year three. As a Forward Deployed Engineer (FDE), you own our enterprise accounts end-to-end and get your hands dirty with related development. You're the first person our customers call and their trusted counterpart. You sit across the table from CSOs, VPs of Risk, heads of compliance, and you turn their messiest workflows into something that runs on our platform. Our platform is user-friendly, but we find great value in staying close to customers and understanding their needs. Expect roughly one to two customer meetings per week per account, plus the async work around it, driving adoption, configuring the platform, chasing requirements, helping decide what features to implement and implementing them, keeping things moving. You'll own a dozen plus accounts at any given time. This is the closest thing we have to a founding-team role outside the founders. You’ll be partnering directly with our CTO to help shape what the company becomes. Own strategic accounts: adoption, expansion, renewal, the whole thing Run weekly working sessions with senior stakeholders; drive the agenda, close the loop Configure the platform to fit each customer's reality Manage the async cadence: emails, follow-ups, status updates, internal escalations Translate customer needs into prioritized product feedback that actually changes the roadmap Hold your own in procurement, security review, and contract conversations Ship code with Claude Code. When a customer needs a UI fix, a small feature, or a bug squashed, you do it. You don't need to be an engineer today, but you need to want to ship by month three. We'll teach you. 2–5 years of experience doing something hard and impressive Real commercial instinct: you've sold, negotiated, or owned customer outcomes in a way you can point to Comfort being the single point of accountability when something is on fire Solutions architect, deployment strategist, customer engineer, or similar background at a technical enterprise company Experience at a Series A/B enterprise startup (GRC, cyber or legal tech in particular) Background in risk, compliance, or financial services Experience in software development We value a diversity of perspectives and experiences. We also hold a small set of core beliefs that reflect how we operate, and share them transparently with candidates so the fit is clear from the outset. Put Customers First. Our customers buy outcomes from us, not features. We judge every decision by whether it delivers on that promise. Take Ownership. Founding-stage means problems don't come pre-scoped. You see something that needs doing, scope it, ship it, own the outcome. We expect this from everyone, and provide you the backing to execute on it. Work Hard, With Gratitude. This is the most consequential window for building enterprise software in a generation. We work hard because the opportunity is rare, and we do it with gratitude for the moment, for the people we get to build it with, and for the customers willing to bet on us this early. Say the Silly Thing. The best ideas usually start out sounding half-baked, so we'd rather you say the silly thing than sit on it. We want you opinionated and willing to argue, and just as willing to change your mind when someone makes a better case. Disagreement here is a contribution, not a risk. Location. King's Cross, London (Gridiron building). We're built around in-person collaboration and expect most days to be in-office, with flexibility for the days that need it. Compensation. Top decile for the London market, with meaningful EMI-eligible options. Perks. Daily team lunch and specialty coffee, a roof terrace overlooking King's Cross, on-site showers for those who enjoy active commuting, and serious per-engineer AI tooling and API budgets. Interview process. Three stages: behavioural phone screen, commercial-technical phone screen, and a paid on-site work trial. Target turnaround is under two weeks from first conversation. Tech Stack. TypeScript, Node.js, React, Tailwind, OpenAPI, Express, Azure (Container Apps, Service Bus, Front Door, Entra ID), Postgres, Terraform, GitHub Actions, Docker. Anthropic-first AI with in-house evals and scaffolding. Claude Code throughout. #J-18808-Ljbffr

We're building agent-native risk infrastructure: risk management and trust building, delivered by AI agents, for a world increasingly run by them. As more decisions and transactions run through agents, the volume of risk to manage and trust to establish is growing very fast. Today both functions are fragmented, split across internal teams, point products, and outside consultants, and rebuilt from scratch whenever someone needs an answer. HelmGuard brings them onto one platform and runs them continuously: our agents sit on top of proprietary data and reassess as conditions change, rather than at fixed checkpoints. So our customers spend their time deciding and acting on what matters, not assembling the evidence to get there. Hundreds of billions of dollars are spent across risk management and trust building annually. These funds are going to be reallocated to agent-native solutions in the next five years, and we will capture that spend. We've grown to seven-figure revenue within months of product launch, on the back of multi-year contracts with leading enterprises in financial services, regulated technology, and healthcare. Our founders come from Palantir and academic institutions: Oxford, Stanford, and ETH. We're backed by UK and US institutional investors and angel investors from Meta, Isomorphic Labs, Palantir, and SpaceX. We're hiring across founding-team roles for people who want outsize impact, the influence over direction and culture that comes only from joining this early, and pre-Series A equity upside. Most of what a customer experiences of HelmGuard, you'll have built. You turn ideas into shipped product faster than anyone expects, across the whole stack, and you decide what's worth building as much as you build it. We're betting that AI collapses the cost of writing software and you're the proof that the bottleneck was never the code, it was the judgment about what to make. You are not expecting to be handed a finished spec and you own outcomes, not tickets. You understand our platform and what our customers want, and you decide what is actually worth building, design it, and ship it end-to-end: the interface someone loves to use, the API behind it, and the agent-powered feature underneath it. Some weeks, that's a polished onboarding flow; some weeks, it's the data model for a new analytical engine; some weeks, it's wiring an agent into a customer's workflow. You're at your best when the work refuses to sit in one lane. The bar isn't that the code is clean, but rather that you built the right thing, customers feel it, and it shipped while the problem was still worth solving. You make all three true, with Claude Code as a force multiplier that lets you move at a pace that once required a team. Ship customer-facing product end to end - frontend, backend, and the agent-powered features in between Own features from "is this even worth building?" through design, build, and the messy reality of customers using them Work close to customers and FDEs, and turn what you hear straight into shipped product Bring product and design taste - you care how it feels, not just whether it compiles Move fast with Claude Code and the rest of the AI tooling we run, without shipping anything you'd be embarrassed to take into a security review Leave the codebase better than you found it as you move through it 6+ years shipping production software across the stack in a small, fast-moving team - TypeScript ideally, or an adjacent stack with the appetite to switch A track record you can point to: things you decided on, built, and watched customers actually use Genuine product instinct - you can tell the difference between impressive and useful, and you optimise for useful Front-to-back range: a React UI a customer enjoys, and the API and data model that make it real AI-native working style: Claude Code is already in your daily loop, and you have opinions about where it earns its keep and where it doesn't High agency - you see the gap, you close it, you don't wait to be told Real design chops - you can make something look and feel right, not just function Experience folding LLM features into a product (agents, AI-fill, that class of work) B2B SaaS, GRC, security, or another domain where the user is a professional with zero patience for friction Early-stage or founding-team experience We value a diversity of perspectives and experiences. We also hold a small set of core beliefs that reflect how we operate, and share them transparently with candidates so the fit is clear from the outset. Put Customers First. Our customers buy outcomes from us, not features. We judge every decision by whether it delivers on that promise. Take Ownership. Founding-stage means problems don't come pre-scoped. You see something that needs doing, scope it, ship it, own the outcome. We expect this from everyone, and provide you the backing to execute on it. Work Hard, With Gratitude. This is the most consequential window for building enterprise software in a generation. We work hard because the opportunity is rare, and we do it with gratitude for the moment, for the people we get to build it with, and for the customers willing to bet on us this early. Say the Silly Thing. The best ideas usually start out sounding half-baked, so we'd rather you say the silly thing than sit on it. We want you opinionated and willing to argue, and just as willing to change your mind when someone makes a better case. Disagreement here is a contribution, not a risk. Location. King's Cross, London (Gridiron building). We're built around in-person collaboration and expect most days to be in-office, with flexibility for the days that need it. Compensation. Top decile for the London market, with meaningful EMI-eligible options. Perks. Daily team lunch and specialty coffee, a roof terrace overlooking King's Cross, on-site showers for those who enjoy active commuting, and serious per-engineer AI tooling and API budgets. Three stages: behavioural phone screen, technical phone screen, and a paid on-site work trial. Target turnaround is under two weeks from first conversation. TypeScript, Node.js, React, Tailwind, OpenAPI, Express, Azure (Container Apps, Service Bus, Front Door, Entra ID), Postgres, Terraform, GitHub Actions, Docker. Anthropic-first AI with in-house evals and scaffolding. Claude Code throughout. #J-18808-Ljbffr

Natilik is a global technology solutions and services provider. Our mission is two-fold: growing a brand that is seen as the industry’s “Confident Guide” and building a business with a balanced purpose. We want to be a “Confident Guide”, sat between the vendors, who make technology, and our clients who want to use it to help deliver the outcomes most important to them. We offer solutions, services, platforms, applications and expertise to help. We might help our clients in a simple way, such as supplying them with the ‘equipment’ they know they already need. Alternatively, they might want to partner with us and allow us to fill holes in their understanding. Or they might want us to take care of everything, helping to agree on the destination and guiding them every step of the way. From the small and simple, to the large and complex, we want a life-long partnership, a company our clients can rely on. We also want to continue to build a business that we can all be proud of, with a focus on five stakeholders: clients, people, partners, communities and shareholders. To ensure we live up to our mission and purpose we focus on five fundamental principles that have driven our award-winning success to date, namely: • Caring deeply about our people, • Caring deeply about our clients, • Developing differentiated and valuable product, service and solution offerings, • Driving operational success through our processes, systems and methodologies and a mindset of continual improvement, • Continuing to grow organically and profitably At Natilik we care about everyone as an individual, as a human being, not just as an employee and try and treat people as such. An organisation that can align the performance, goals, beliefs and values of its people to the business goals, beliefs and values of the company can achieve amazing things! We want everyone to fulfil their potential. We want people to be able to grow and develop throughout their career and enjoy a wide range of opportunities. We believe that we can always learn new things, develop and grow as individuals and as teams. We support a working environment which encourages positive change and embracing new challenges. Not only does this ensure our clients receive the best delivery and service but importantly we know this is key to our people’s satisfaction at Natilik. Our Voice AI Architect owns the overall solution design, architecture, design standards, integration strategy, security approach, platform patterns, technical governance, conversation design approach, and design sign-off. The AI Architect may also be required to undertake or support AI Engineer responsibilities where necessary. These include implementing the agreed design, testing and debugging, maintaining documentation, and escalating any issues where the design is unclear, presents risks, is incomplete, or is blocked. Our Voice AI Architect ensures the solution is not just functional, but scalable, secure, maintainable, testable, and suitable for production voice and chat use cases. This role should provide the technical and conversational design clarity that allows our Voice AI Engineers to deliver confidently and consistently. • Own the end-to-end Voice solution design across the assigned use cases., • Define the architecture, design patterns, flow structure, agentic AI strategy, tool-calling approach, integration model, security controls, guardrails, multilingual approach, voice experience, xApp strategy, reporting model, and production readiness standards., • Decide when to use agentic AI, deterministic flows, NLU, Knowledge AI, xApps, or human handover., • Define reusable patterns for LLM Prompt nodes, tool schemas, Resolve Tool Actions, context management, API integrations, fallback handling, escalation, and error recovery., • Provide technical direction to Voice AI Engineers, review implementation quality, unblock delivery issues, validate design decisions, and own solution sign-off., • Lead stakeholder workshops, demos, design reviews, risk reviews, and technical governance., • At least 2–3 years’ experience designing and delivering conversational AI, voice AI, or agentic AI solutions., • Strong hands‑on experience in conversational and agentic AI architecture and delivery, including conversation flow design, voice AI integrations, LLM orchestration and prompt engineering, AI tool and function calling, Retrieval‑Augmented Generation (RAG), knowledge management, interactive web applications, workflow automation, analytics and observability, environment management, and reusable solution patterns., • Strong practical understanding of LLM prompting, tool design, tool orchestration, structured tool results, hallucination prevention, prompt grounding, guardrails, and when to use deterministic logic or NLU alongside agentic reasoning., • Good working knowledge of conversation design principles, including intent journeys, task flows, fallback paths, repair prompts, turn‑taking, escalation points, voice‑friendly wording, and reducing customer friction., • Strong JavaScript understanding for reviewing Code Nodes, validation logic, payload mapping, API response handling, context manipulation, logging, and custom flow behaviour., • Experience designing secure REST API integrations, PII‑safe handling, authentication patterns, error handling, observability, and production support models., • Strong voice‑agent architecture experience, including STT/TTS selection, multilingual recognition, DTMF, barge‑in, endpointing, transfers, hang‑up logic, silence handling, latency, and speech tuning., • Ability to debug complex issues using transcripts, context, input, tool arguments, Voice Gateway logs, API responses, Insights, and Code Node logs., • Cognigy certification; advanced conversation design or voice UX experience, including persona design, tone‑of‑voice definition, dialogue repair strategy, multilingual copy design, IVR‑to‑voice‑agent migration, containment optimisation, and usability testing., • Contact‑centre architecture experience, • Agent Copilot and Cisco Finesse integration experience, • SSML and advanced TTS tuning, • SIP/WebRTC, Twilio or similar voice connectivity, • CRM, case‑management, or CCaaS integrations, • Experience defining guardrail frameworks for prompt leakage prevention, scope control, profanity filtering, hallucination prevention, and speech‑safe output. Natilik offers a series of benefits and perks designed to support your personal and professional growth, while fostering a thriving and rewarding work environment. We recognise the importance of contributing to our people's well‑being, job satisfaction, and work‑life balance and remain committed to doing so. This is why we offer: • 25 days annual leave (+ bank holidays) rising with tenure, • Quarterly Awards and Bonuses, • Flexible Working Policy, • Competitive pension scheme, • Access to Financial Wellness support, • Industry‑leading home working and mobility technology, • Private Medical Insurance, • Company shares (available after One year tenure), • Medicash (Cashback Scheme), • Retail discounts via Medicash, • Access to EAP scheme for you and your household, • Vehicle lease salary sacrifice scheme (available after One year tenure), • Cycle to Work Scheme, • Annual paid volunteering day, • Enhanced parental leave, • Access to funding for additional qualifications and courses, • Access to paid study leave At Natilik we know it's crucial that our people reflect the diversity of our clients around the world. And we know that having people from all walks of life makes us a more creative and innovative company. That variety of experience, culture and background allows our teams to be better. We make sure we do whatever we can to support our people too: making them feel valued and included and unlocking their potential is essential. We're incredibly proud of our diversity. #J-18808-Ljbffr

Substrate is building a laboratory that runs itself. Something has to turn a scientist's intent into work the instruments actually execute, schedule it across the lab, and capture everything that happens as structured data. That software does not fully exist yet. It is being written now, from the first line, by a small, elite engineering team -and you would build it with them. We call this our infrastructure software layer: customer intent in, executed experiments and clean, agent-ready data out, with full provenance captured as the lab runs. Provenance is one half of the bar, with scientific quality, that makes Substrate's data worth training on. Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict, but they cannot run experiments, and the high-quality, large-scale data they need does not exist. Substrate generates it, with quality and provenance built in. You will build the infrastructure software that runs the lab, working across the stack with the founding software engineer and the team. There are two products. The execution product turns a customer's intent into executed lab work: a translation layer converts an experiment into versioned, runnable workflows, an orchestration layer schedules and runs them across the lab on top of Automata's LINQ, and the output lands as structured, AI-ready data under a shared ontology. The observation product captures metadata everywhere it is generated and maps it into a knowledge graph, so every run carries full provenance. Where you land depends on you and on what the lab needs next. Any of these could be yours: Data infrastructure and ontology underpinning our data ingestion, workflows and output APIs that receive customer intent, translate it into workflows and return results - followed quickly by MCP servers, so agents can plug into our full catalogue of capability The orchestrator, and the resource model that tracks consumables and instruments as a live digital twin of the lab The capture pipeline that structures the data coming off the floor, with audit logging on every action and edit so nothing is unaccounted for The platform underneath it all: core data-serving abstractions, auth and access control, and the observability that tells us the lab's software is healthy Whatever you own, you own it end to end. You will write production code from your first weeks, help set the architecture and the engineering culture, and work at the boundary with the scientists running the assays and the intelligence team who learn from what the lab produces. FIRST 30 DAYS Get productive in the codebase and ship your first change into the execution pipeline, following the team’s review and deployment practices. Take ownership of a service or surface within the team. DAYS 30 TO 60 Ship a meaningful slice of your surface into the live, semi-automated lab, in the hands of the scientists running assays. Wire your work into the shared data model, so every run it touches is captured with full provenance. DAYS 60 TO 90 Own your surface end to end, including its reliability, observability and on-call. Help shape the architecture and the next hires as the team and the lab scale toward full automation. You are a generalist who has shipped production systems that other people depend on. You write good code at speed, you have opinions about architecture, and you have learned when to hold them and when to defer. You are happy owning a service end to end, including the parts that are not glamorous: reliability, observability, the on-call pager. You have worked across the stack and can pick up whatever the problem in front of you needs. You do not need a biology background and we will not test for one; the science is something you will learn enough of by working next to it. What we do want is curiosity about what this infrastructure makes possible, and what it means for the people who will use it. MUST HAVE Bar-raising. You strive for excellence and raise the bar wherever you land, and you hold it when it would be easier not to. Substrate goes right down to the finest details in our experimental processes and our software architecture, and you should want to. Speed. Comfortable with ambiguity, with a bias towards action, learning and iterating. You can decide on partial information and revisit when better information arrives. Big-picture thinking. There is a voice in your head asking why you are building this, who it is for, and what would make it 100x better. Detail matters, but everything routes back to the why. Range. A generalist: backend services and APIs, data pipelines, and front-end to ship a usable interface. Fluent in at least one language you build production services in, and happy to work in whatever stack the team settles on. AI-native building. You build with coding agents by default, and you have opinions and taste about what they produce rather than blind faith in the output. Engineering discipline. Rigorous CI/CD and automated testing are how you work, not something you bolt on later. End-to-end ownership. Architecture, reliability, observability, the on-call pager — including the parts that are not glamorous. NICE TO HAVE Experience at the software-to-physical-world boundary (lab automation, robotics, manufacturing, logistics, scientific instruments, or energy). Orchestration, scheduling, or workflow-engine work, and distributed systems at scale. Data-intensive systems: pipelines, ontologies or knowledge graphs, provenance or lineage. Early-stage or founding-engineer experience at a venture-backed company. Most software roles like this build a product that lives entirely on a screen. This one runs a physical laboratory. The workflows you orchestrate move real liquid, real cells and real instruments, and the data you capture is the product, not telemetry about it. When something deviates on the floor, your software is what catches it and what records why. Our office sits beside the lab, so you can spend as long as you like watching the automated benches and the transport rails run. You will also work at the same table as software, hardware and biology, and the three do not always agree. Some engineers find that mix energising; some find it distracting. It is worth knowing in advance which one you are. You will work in a hybrid pattern with regular time in the lab at 20 Triton Street, where the instruments and the people running the assays are, because the software is built close to the thing it runs. The rest of the team is distributed across several locations and works flexibly, and we keep a light shared rhythm: a Monday kickoff, a Thursday all-hands, a short daily team sync, and a quarterly offsite. We are a small team that documents in the open and backs the best idea regardless of who has it. We look after people well. In the UK that means 30 days of annual leave a year plus public holidays a pension with a 10% employer contribution top-tier private health cover with Bupa, with more added as the team grows Screening, then a behavioural and cultural-fit conversation, then a technical session or work sample with the team, including time in person at the London lab, then references. Substrate is an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. #J-18808-Ljbffr

Job Role: Customer AI Engineer Team: Song AI & Data – AI & Modelling Craft, UK&I Location: London / Manchester Career Level: Consultant (L9) Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate efficiently and sustainably through the unlimited potential of imagination, technology and intelligence. Visit us at: gb-en/about/accenture-song-index Within Accenture Song sits AI & Data, the practice that builds the data-led intelligence behind the customer work. Song AI & Data helps organisations unlock value from data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation. You will join the Song AI & Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through to building, deploying and operating AI products that deliver measurable business value. As a Customer AI Engineer, you will design, build and deploy machine learning, generative AI and agentic AI solutions that help our clients better understand, serve and grow their customers. This is a hands‑on engineering role where you will work across the full delivery lifecycle, from understanding the business problem and shaping the solution through to deployment, monitoring and continuous improvement. Your work could include building a retrieval‑augmented generation solution that helps customer service agents access the right information, developing an agentic workflow that automates campaign planning and optimisation, productionising recommendation and personalisation models, or creating customer intelligence solutions that power segmentation, propensity, next‑best‑action and decisioning capabilities. You will work in multidisciplinary teams alongside data scientists, architects, engineers and client stakeholders. The problems you work on will often be ambiguous at the outset, requiring you to test assumptions, experiment quickly and iterate towards solutions that are scalable, reliable and ready for production. This role requires strong technical curiosity and a builder mindset. You will be expected to stay current with developments in machine learning, generative AI and agentic systems, while applying sound engineering principles to create solutions that are secure, maintainable and effective in real‑world environments. You will also work directly with clients, helping them understand how AI solutions work, what value they can create and the practical considerations involved in deploying them successfully. Whether building a personalisation model, deploying a customer service agent or creating a new customer decisioning capability, your focus will be on delivering measurable customer and business outcomes. • Design, build and deploy AI‑powered tools, services and applications end to end, from problem definition through to live service and iteration., • Develop generative AI solutions using prompt and context engineering, coding, retrieval‑augmented generation, fine‑tuning and applying evaluation techniques., • Implement and optimise agentic AI workflows and multi‑step reasoning pipelines, integrating them with enterprise systems and data sources., • Build, train, evaluate and deploy machine learning models, and define the approach for running and monitoring them in production., • Break complex problems into smaller, testable components, and balance speed of experimentation with security, robustness and maintainability., • Run experiments to test new approaches and techniques, and apply what you learn to the solutions you are building., • Translate business problems into AI solutions with clear and measurable value, and communicate technical concepts to client stakeholders and non‑technical audiences., • Document patterns and build reusable assets and best practices that can be applied across the AI & Modelling Craft., • Contribute to capability building and knowledge sharing across the Song AI & Data practice Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as: • 25 days of leave per year plus 3 extra volunteering days for charitable work of your choice., • Family-friendly and flexible work policies., • Attractive pension plan with financial wellbeing support and resources., • Private healthcare insurance plan and Mental Wellbeing support., • Employee Assistance Programme, Career Development and Counselling., • A range of generous Parental Leave offerings. #LI-EU SNGCR01 Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services, creating tangible value at speed and scale. We are a talent‑and‑innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. • Production generative AI experience. Experience delivering generative AI and LLM-based solutions into production environments, rather than experiments and proofs of concept alone. You have hands‑on experience with current LLM tooling such as Claude, GPT or Gemini., • Advanced Python and software engineering. You write clean, production‑grade code rather than scripts, with a good working knowledge of object‑oriented design, asynchronous processing, packaging and automated testing., • Generative AI and agentic development. Practical experience with prompt engineering, retrieval‑augmented generation pipelines, context management, embeddings and vector databases, and with agentic frameworks such as LangChain, LangGraph or AutoGen., • Customer domain expertise. Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges. You can engage confidently in discussions about customer and business challenges and understand how AI creates measurable value for both customers and organisations., • Machine learning foundations. Experience developing, training, evaluating and deploying machine learning models, and understanding when a traditional model is a better answer than an LLM., • Backend and cloud engineering. API and microservices development using FastAPI or equivalent, and experience deploying and managing AI and machine learning workloads on Azure, AWS or GCP., • Engineering discipline and MLOps. Version control, CI/CD pipelines, model versioning, and monitoring solutions once they are running in production., • Delivery track record. Demonstrated end‑to‑end delivery, from problem definition through to a deployed and improved solution. You are comfortable working with incomplete requirements and can create clarity through the work itself., • Communication and collaboration. Strong analytical and problem-solving skills, the ability to explain technical concepts to senior client stakeholders, and fluency in English working in global, cross‑functional teams., • Experience applying AI to customer, marketing, commerce, sales or service challenges., • Experience with natural language processing, computer vision or multimodal AI models., • Knowledge of Responsible AI, guardrails and safety practices in production environments., • Familiarity with Snowflake, Databricks or similar data platforms., • Consulting or client‑facing delivery experience., • A bachelor’s or master’s degree in computer science, data science, engineering or a related field. Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent‑and‑innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. #J-18808-Ljbffr

When something goes wrong after a sale, the CX squad makes sure it gets fixed fast, visibly and fairly, so a bad first transaction becomes a reason to come back rather than a reason to leave. We own the systems behind what happens after checkout: • Disputes and the in-app Dispute Resolution Centre, including self-serve returns and refunds, • Auto-cancellation and the protections that tell buyers and sellers when an order is covered and resolved, • AI-driven support automation and the APIs and integrations that power it, • Internal ops tooling and integrations with our customer support platforms Our data suggests that problems resolved in-product retain users better than anything that goes through a human agent, so our job is to automate the repeatable cases and leave the hard calls to people. • Build and evolve the backend services and APIs behind disputes, returns, auto-cancellation and support automation, from design through to production, • Build and test the integrations that let our AI support look up and act on orders, refunds and shipping, • Work with CX Operations to decide where automation should act on its own and when it should hand off to a person, • Design solutions ahead of delivery for small-to-medium problems, and contribute to the design of larger pieces of work in the team, • Own the health of the services you work on: monitoring, alerting, on-call, fixing what breaks and paying down tech debt, • Work in an experiment-led squad: define hypotheses and success metrics, run A/B tests and ship behind feature flags, • Work closely with Product, Design, Data Science and CX Operations, and with partner teams such as Payments and Shipping when work crosses boundaries, • Take part in code reviews, retros and post-incident reviews, and help teammates get unblocked, • Your work directly affects whether a user who had a bad experience stays on Depop, • You’ll help shape AI-driven support in a fast-moving area with plenty of room to try new things, • You’ll join a small team where engineers get real ownership and stay close to the user impact, • Solid backend engineering fundamentals and experience delivering production services, mostly on your own, • Proficiency in at least one backend language such as Scala, Java, Kotlin or Python, and willingness to pick up others (most of our services are Scala), • Experience building secure, reliable APIs used by external systems, including authentication, error handling and safe retries, • Experience with relational databases and data modelling, • Understanding of event-driven or asynchronous systems (queues, scheduled jobs, workflows), • Good testing habits at unit and integration level, • Experience with CI/CD and production monitoring, and taking part in on-call, • You’ll often own problems end to end, in an area where AI tools keep changing, so you're comfortable setting your own direction and working things out., • You measure your work by whether it resolves customer issues, using data to check what's working and what isn't, • You explain technical trade-offs in plain terms, share context openly and ask questions when things are unclear, • Customer support platforms such as Zendesk, including their apps, APIs or workflows, • AI support agents or chatbots: configuring their workflows, or connecting them to backend systems through APIs, tools or function calling, • Payments, orders, refunds or shipping domains, • Marketplace or e-commerce experience, • Running experiments and feature flags with tools such as Optimizely, • Kafka or other message brokers, workflow engines, Docker and Kubernetes, AWS and infrastructure-as-code Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days of annual leave with the option to carry over up to 5 days Impact hours: Up to 2 days of additional paid leave per year for volunteering Fully paid 4-week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office-Based, and Remote options *role-dependent All offices are dog-friendly Family Life: For birth parent: 20 weeks of paid parental leave for full-time regular employees For non-birth parents: 12 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Twice-yearly development chats and yearly performance reviews Learning budget Upskilling our employees with company-wide training workshops, materials and resources Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of full base salary with Aviva Depop Extras: In-office Depop Shop (that's free!) and a packing station with free delivery. Special milestones are celebrated with gifts and rewards! #J-18808-Ljbffr

Tom&Co is an e-commerce agency that has gone AI-first. We design, build and grow online stores for brands like Topps Tiles, Oliver Bonas and Agent Provocateur, plus many more across Fashion, Homeware, Luxury, Gifting, Outdoors, Food and Charity. We've rebuilt the way we work around AI, and Claude is at the centre of it. Our team works across a fully integrated Claude setup - Claude Code for building, Cowork for research, documentation and delivery, shared skills that capture how we work, and MCP connectors that plug Claude into the tools we and our clients use every day. It's how we scope, design, build, test and support everything we deliver. We think it's the most interesting time to be in this industry, and we're looking for people who feel the same. We're looking for an AI Solutions Architect to take responsibility for delivering our e-commerce builds - from the first discovery session through architecture, build and launch - and to lead our retainer clients afterwards. You'll be the person our clients trust. You'll sit down with them, get to the bottom of what they actually need, shape the right solution and then make it happen - building the simpler pieces yourself with Claude. For the bigger and more complex work, you'll have a full team behind you - project managers, designers, QA and AI-enabled developers. You'll own the outcome - the solution, the timeline and the quality of what goes live - with the directors on hand to back you up. This is a new kind of role and we are very excited about introducing it. If you're a developer who enjoys talking to clients, a technical BA who has started building things, or a solutions consultant who wants to get hands-on again, we'd love to hear from you. There's plenty of room to grow. • Empowered but not on your own. With Claude doing a lot of the heavy lifting, you can get far more done yourself - and when the work gets bigger or more complex, you've got a project manager, designers, QA and developers right behind you., • The full Claude toolkit. You'll work with Claude Code, Cowork, skills, connectors and agents every day - not as a side experiment, but as the way we deliver., • Real ownership. You'll own full e-commerce builds from the first conversation to go-live and beyond, with the freedom to decide how they get done., • Permission to experiment. New Claude features and models arrive all the time. We want you to try them, find what works and turn it into the way we all work., • A seat at the table. You'll work closely with the directors and help shape how an AI-first agency actually runs., • Take responsibility for delivering full e-commerce builds and replatforms - scope, architecture, timeline, quality and launch - many of them on the latest and greatest Adobe Commerce as a Cloud Service platform, • Own the client relationship on your projects: run discovery sessions, workshops and regular check-ins, and be the go-to person for anything technical, • Turn business problems into clear requirements, solution designs and well-scoped pieces of work, • Architect solutions across Adobe Commerce (Magento) and the wider stack, including PIM, ERP, search, payments and CDP integrations, and help make the key technical decisions, • Build simpler solutions yourself with Claude Code - prototypes, automations, integrations, small features and fixes, • Work closely with our project managers, designers, QA and AI-enabled developers on bigger and more complex pieces of work: shape the solution, brief it clearly, review what comes back and make sure it’s right before it reaches the client, • Use the wider Claude ecosystem across delivery - Cowork for discovery, specs and documentation, MCP connectors into tools like Jira, Figma and Google Workspace, and agents for testing, QA and reviews, • Identify where AI can help our clients’ wider business - from catalogue and content work to customer service and reporting - and scope those ideas into projects, • Help shape how we work by building and improving our Claude skills, plugins and reusable workflows, and sharing what you learn with the team, • You have a technical background - you might be an ex-developer, solutions architect, technical BA or technical project lead, • You're confident talking to clients, from marketing teams to CTOs, and can translate between business and technical language, • You've worked on e-commerce builds or replatforms and are ready to own one from discovery to launch; Magento 2/Adobe Commerce experience is highly desirable, but similar platforms (Shopify, BigCommerce, Salesforce Commerce Cloud, Shopware) are great too, • You understand how systems talk to each other and are comfortable with REST, GraphQL and SOAP APIs, • You use AI tools seriously, day to day - hands-on experience with Claude and Claude Code is a big plus, and you're keen to go deep on skills, MCP connectors, subagents and the Claude Agent SDK, • Experience with automation platforms such as n8n, Make or Windmill is a bonus, • You write clear briefs, specs and acceptance criteria that a developer - human or AI - can pick up and run with, • You're comfortable owning timelines and priorities, and stay organised and calm when juggling several clients at once, • You care about quality and enjoy helping others do their best work, • You're curious, learn quickly and find the pace of change in AI exciting rather than daunting, • You have excellent written and spoken English We have a great office in a lively spot near Tower Bridge, and our sociable team enjoy heading out for an after-work drink. We work flexibly, with two days a week in the office on Tuesdays and Thursdays, so you get the best of both worlds. You’ll join a welcoming, friendly team with a good sense of humour, working on brands people know and love. As we grow, you’ll grow with us - and we'll invest in your skills, especially your AI skills, along the way. Here’s what else is on offer: • Access to the full Claude toolkit, and time to learn and experiment with it, • 24 days' holiday plus bank holidays, and your birthday off, • A personal development scheme and real opportunities to grow your responsibilities and skills, • Frequent team lunches, breakfasts and quarterly socials, • A UK-Poland team exchange - head off together to a destination of your choice If this sounds like you, we can’t wait to hear from you. We're committed to building a diverse team and warmly encourage applications from women, people of colour, LGBTQ+ people and people of all abilities. We're especially keen to bring more diverse voices into our technical teams and do our bit to close the gender and diversity gaps in tech. #J-18808-Ljbffr

Reference Code: 520087-en_GB Contract Type: Permanent Professional Communities: Software Engineering As a Salesforce AI Engineer, you’ll design, build and ship AI features on the Salesforce platform for some of the world’s leading organisations. Working across industries including Consumer Goods, Utilities, Automotive, Telecommunications, and Financial Services, you’ll spend most of your time hands‑on, building autonomous agents, connecting large language models to enterprise data, and getting AI systems running reliably in production. This is an engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you’ll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI‑driven features that hold up under real workloads. The work varies a lot. One day you might be designing an agent’s reasoning and actions in Agentforce, the next writing Apex to ground a model in Salesforce data, tuning prompts and retrieval so answers stay accurate, or setting up evaluation harnesses to catch problems before they reach users. Partner with Salesforce Functional Consultants, Solution Architects, and AI Specialists to design and deliver innovative Salesforce and AI‑powered business solutions. Leverage Agentforce, Einstein AI, Prompt Builder, Model Builder, and Data Cloud to develop intelligent experiences, autonomous agents, and AI‑augmented business processes. Act as a Salesforce and AI subject matter expert within the Digital Customer Experience (DCX) practice, helping shape our next‑generation consulting capabilities and AI delivery methodologies. Design and develop scalable Salesforce solutions using a combination of declarative and programmatic technologies including Apex, Lightning Web Components (LWC), Flow, JavaScript, Platform Events, and APIs. Build AI‑enabled solutions that combine customer, operational, and enterprise data to deliver personalised, predictive, and proactive business experiences. Integrate Salesforce with enterprise systems using MuleSoft, APIs, Event‑Driven Architectures, and AppExchange solutions to create connected digital ecosystems. Utilise AI‑assisted development tools and modern DevOps practices to accelerate delivery, increase quality, and improve developer productivity. Contribute to continuous innovation by evaluating emerging Salesforce AI capabilities and identifying opportunities to apply them across client engagements. Support Agile delivery teams and champion modern engineering practices using tools such as Gearset, Copado, Flosum, GitHub, Azure DevOps, and CI/CD pipelines. Engage directly with client stakeholders, helping them understand how AI, automation, and Salesforce technology can unlock measurable business value. You’ll thrive at the intersection of technology, business consulting, and AI innovation. Working alongside clients, you’ll transform and develop ambitious business objectives into practical, scalable Salesforce solutions powered by automation, intelligence, and next‑generation AI capabilities. You’ll be expected not only to solve today’s challenges but to help clients prepare for an increasingly autonomous, AI‑driven future. Whether you’re designing Agentforce agents, building enterprise‑grade Salesforce applications, integrating Data Cloud, or advising executives on AI adoption, you’ll become a trusted advisor capable of translating complex technology into meaningful business outcomes. Most importantly, you’ll help shape the future role of the Salesforce consultant—leveraging AI to move beyond configuration and development into strategic solution design, innovation, and business transformation. • Strong Salesforce technical experience across one or more core clouds including Sales Cloud, Service Cloud, Experience Cloud, Commerce Cloud, Industries Cloud, or Field Service., • Hands‑on experience developing solutions using Apex, Lightning Web Components (LWC), Flow, JavaScript, APIs, and Salesforce integration patterns., • Hands‑on experience building with Agentforce, Einstein, Prompt Builder and Model Builder, including designing agent actions, writing and tuning prompts, and grounding models in Salesforce data., • A working understanding of how large language models behave in practice: prompt engineering, retrieval‑augmented generation (RAG), grounding, and how to reduce hallucination., • Experience testing and evaluating AI features, for example building eval sets, measuring accuracy, and monitoring quality, cost and latency once live., • Knowledge of enterprise integration approaches, including MuleSoft, event‑driven architectures, REST/SOAP APIs, and external system connectivity, including connecting to AI models hosted outside Salesforce., • Experience building solutions for large‑scale environments supporting hundreds or thousands of Salesforce users., • Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling., • Proven experience translating complex business requirements and user stories into scalable technical solutions., • Experience delivering solutions using Agile methodologies within cross‑functional teams of engineers, architects, and business stakeholders., • The ability to explain technical and AI concepts clearly to both engineers and non‑technical stakeholders., • Experience collaborating with third‑party delivery partners and Salesforce ecosystem vendors., • Solid grounding in DevOps and modern software engineering practices across the Salesforce delivery lifecycle., • Salesforce Administrator, • Platform Developer I & II, • JavaScript Developer I, • AI Specialist, • Data Cloud Consultant, • Salesforce Consultant Certifications (Sales, Service, Experience, Field Service, etc.), • Agentblazer Legend A genuine appetite for learning, shown through certifications, Trailhead credentials, hands‑on Agentforce work, and keeping up with how AI capabilities are moving. • Salesforce platform expertise, • Hands‑on Agentforce, • Data and integration knowledge, • Clear technical communication, • Automation‑first thinking, • Modern engineering and DevOps practices As Salesforce grows into a serious enterprise AI platform, you’ll be the one building the autonomous agents and intelligent features that make it real and setting the standard for how Salesforce AI Engineering is done. Capgemini is proud to be Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role. Please opt in during the application process. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. You will be encouraged to have a positive work‑life balance. Our hybrid‑first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day‑to‑day reality for our people. All UK employees are eligible to request flexible working arrangements. You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will reimagine what’s possible: creating value for the world’s leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. #J-18808-Ljbffr