Trabajos customer support agent en Reino Unido

Our client is looking to recruit a Logistic Coordinator, mainly Air Export Operator, any Import experience advantage. Dealing with Biopharma, Time Critical & Aerospace business sector. \n \n Working in a small Operations team, friendly team which consists of people with a hands-on and proactive approach to executing and delivering high-quality work within a complex logistics profile enabling them to drive the business forward. \n \n This position is a good opportunity to join a well-established company which is part of the larger group, develop all round ‘specialty’ logistics skills with a knowledgeable team, & a good opportunity to advance with a growing company. \n \n JOB SUMMARY \n Responsible for coordinating the flow of goods to the UK & 3rd Countries for International Clients. To ensure that all parties involved in the Import transportation process are kept informed about its status, and they work to resolve any issues that may arise during transit. \n \n Good Air Export start to finish experience required for the role, you will also support the Import team when needed so any Import experience advantage. \n \n RESPONSIBILITIES AND DUTIES \n\n • Arranging UK Export & UK Import Shipments from Clients & International Partners\n, • Communicating with clients / agents for shipping details such as pickup times, shipping method, delivery date, and any special requirements. Scheduling shipment dates and times to meet customer needs.\n, • Preparing and reviewing shipping documents, including AWB, packing lists, and commercial invoices in line with UK Custom clearance protocols\n, • Coordinating the transportation of goods with our trusted hauliers / own transportation team\n, • Communicating with Airline, Freight forwarders, customs brokers, and other transportation providers to ensure that shipments are delivered on time and within budget.\n, • Determine the most efficient transportation routes and methods.\n, • Monitor shipments for compliance with regulations and international trade laws specifically in relation to pharmaceuticals.\n, • Maintaining records of all Import transactions, including tracking shipments and preparing reports on shipping costs and delivery times.\n, • Ensuring compliance with industry regulations, including obtaining necessary licenses and permits from UK Exporters\n, • Keeping up to date with changes in trade laws and regulations.\n, • Resolving any issues that arise during the UK Export & Import process, such as customs delays or shipment errors.\n, • Ensuring time critical and temperature-controlled cargo is stored at the correct temperature at both airline and within our own facility.\n, • Liaising with UK Road Transport Companies for EU Road Movements\n\n \n QUALIFICATIONS AND SKILLS \n Good communication skills, both written and verbal. \n Sequoia CDS / any other customs software knowledge. \n Attention to detail. \n 5 Year checkable work record \n DBS Check in line with Regulated Agent Accreditation. \n Dangerous Goods by Air (Full training given) \n \n Due to location Car Driver required. \n \n SALARY: : £28-33k depending on experience \n Monday to Friday. 8-5pm or 9-6pm \n Holiday: 4 weeks plus Bank Holiday \n Pension: Nest pension with employer contribution \n Overtime: Evening/Weekend hours available after full training \n \n \n\n • If you do not hear from us within 7 days, then your application has been unsuccessful.\n\n

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

Practice Group / Department: \n Commercial Finance - London \n Job Description \n \n Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world’s preeminent corporations and financial institutions. \n Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. \n With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next. \n \n Because while individuals can do well, together we achieve something extraordinary. \n \n The Commercial Finance and Revenue Operations function and our focus \n Part of EMEA Group Finance, the Commercial Finance and Revenue Operations function encompasses Client Financial Decision Support (which includes Pricing & Commercial Insight and Client Finance Support), Finance Business Partnering (strategic financial business management and financial planning and analysis activities), Finance Business Intelligence and Revenue Operations. We support NRF leadership and wider stakeholder groups to run a successful legal practice by providing financial leadership, timely insights and initiatives designed to improve commercial confidence and decision-making quality. \n The Role \n This is a fantastic opportunity for an ambitious individual who wishes to be part of a progressive, proactive and customer-centric team. The successful candidate will play an integral part of driving forward the continuous improvement agenda for the Commercial Finance and Revenue Operations function and its collaboration with other business support professionals. You will be an experienced pricing professional, with strong communication and soft skills, able to work effectively with internal and external stakeholders alike. \n In conjunction with Commercial Finance colleagues, the Manager, Pricing and Commercial Insights will support on the development and execution of the firms pricing agenda ensuring the necessary benchmarking, analytical tools and capabilities exist to support firm and finance departmental strategies. \n Key Responsibilities \n\n • \n Advise Partners of ways to maximise the value of client relationships through different pricing techniques, modelling the financial impact and viability of proposed pricing arrangements and challenging key decision makers when appropriate. Supporting Partners with client facing engagements where needed \n • \n Business partnering with Client Relationship Partners and the Client Development team to provide financial and commercial support, plan deployment and investment to help drive profitability \n • \n Providing senior finance support on commercial improvement projects across EMEA when and as required \n • \n Maintaining a high level of visibility in serving as one of the firm’s subject matter experts for pricing and commercial related matters \n • \n Supporting pricing team promotional efforts including presentations to key stakeholders to increase internal adoption and market awareness. Encourage broader and better use of the Firm’s tools to develop more profitable and consistent pricing approaches \n • \n Supporting on the provision of education to stakeholders involved in pricing proposals and approvals, advancing pricing as a strategic tool to build and enhance client relationships \n • \n Assist Partners in the development of budgets and monitoring against actual performance for matters, particularly complex litigation work where more detailed project management support may be required. The Pricing Manager will act as an advocate and agent for adopting effective legal project management discipline where necessary \n • \n In conjunction with Commercial Finance colleagues, support on the annual review of standard rates to ensure profitability maximisation with appropriate consideration of practice mix and market realities as well as compensation and other costs \n • \n Ensuring strong working relationships with other support functions, in particular Business Development leads to establish, promote and maintain policies and processes required for effective management of pricing for transactions, bids and panel appointments. The successful candidate will also work with NRF’s Transform function to support best use of legal process, people and technology to improve commercial outcomes for the firm and our clients \n • \n Keep abreast of industry pricing practices, particularly for major competitors and assess key trends. Support in the development of pricing models and tools for legal services and monitor profitability and implementation of those models \n • \n In conjunction with other business support professionals, provide advice to stakeholders in relation to improving matter financial performance through the provision of post matter financial analysis and associated pricing and business information \n • \n Collaboration and support on any adhoc commercial and pricing related initiatives as required by the Head of Client Financial Decision Support and the Senior Pricing Manager. \n\n Skills and Experience Required \n Essential: \n • \n A minimum of 4 years relevant pricing experience, with legal pricing experience advantageous. \n • \n Strong commercial acumen and exceptional analysis and financial modelling skills. \n • \n Excellent written and verbal communication and has strength of personality to ensure the perspective of ‘Finance’ is clearly communicated \n • \n Excellent time management skills, able to manage stakeholders during times of conflicting deliverables. The ability to remain calm and focused under pressure \n • \n Excellent soft skills including the ability to influence senior stakeholders and negotiate desired outcomes \n • \n Strong presentation skills and experience in providing internal training \n • \n Hardworking, dedicated and an ambition to grow professionally \n A role model for jun

The role of the Regional Sales Executive is to support by converting high intent direct demand generated outside of e-commerce and agent channels, by exceptional sales engagement and follow-up across all key customer touchpoints, including lead triage and pipeline management. Our London and Manchest

About usAt Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.We’re a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.Introducing the Trainline MLOps Team Our MLOps team helps machine learning (ML) and AI teams across Trainline build, launch and run their products reliably. As a Senior MLOps Engineer, you will help shape how we operate AI and ML systems, including the infrastructure and tooling behind our internal ML/AI platforms and our customer-facing products. You will work on systems that are already being built and used across Trainline, so your impact will be real and visible. No two weeks look the same: one day you might be building out our ML platform, the next helping shape the architecture of our multi-agent AI products, and the next improving the developer experience with new tooling and standards. This is a hands-on role with technical leadership at its core. You will join an established team, working alongside our MLOps Engineering Manager and a small group of engineers, as we support a growing number of ML and AI teams. There is genuine scope to influence our technical direction, develop our engineering practices and mentor junior colleagues.In this role as the Senior MLOps Engineer, you will... Take a leading technical role in helping teams across Trainline adopt and operate ML and AI tooling as the technology evolvesSupport AI infrastructure, working with the teams building our internal platform and customer-facing products, making sure products are well governed, monitored and deployed through automationBuild and drive adoption of one standard way to deploy ML and AI products, so that new products onboard quickly and reach production fasterAutomate the modernisation of our services across products, including fixing and preventing security vulnerabilities in libraries and dependenciesStrengthen our MLOps foundations by improving cost tracking, finding ways to reduce costs, addressing security vulnerabilities and standardising engineering practicesContribute to technical strategy, evaluating options and making well-reasoned decisions where there is no established approachCommunicate technical decisions clearly and help prioritise requests from the ML teams we supportMentor fellow engineers and share knowledge through documentation and enablement across the organisationWe’d love to hear from you if you have...Hands-on experience with IaC and CI/CD tooling, ideally Terraform and GitHub Actions, though alternatives such as AWS CloudFormation and Jenkins are also relevantExperience with containerised workloads using Docker and cloud platforms, ideally AWS, though GCP and Azure will be consideredExperience productionising AI products, including agentic systems and the AIOps tooling behind them, ideally using AWS Bedrock AgentCore or similarExperience with managed or self-hosted ML infrastructure, such as Amazon SageMaker, feature stores (e.g. Feast) and DAG tooling (e.g. Airflow, Metaflow, or similar)Experience with model experiment tracking, ideally MLflow or Weights & Biases, and with monitoring tools such as EvidentlyAI, CometML, Grafana or New RelicExperience writing production-quality, tested Python codeExperience leading or contributing significantly to major platform changes and migrations, and the ability to lead technical work through ambiguityClear communication, sound prioritisation, and a track record of getting other teams to adopt shared standards and of mentoring colleaguesNice to have's... Knowledge of cloud topics such as networking fundamentals (VPC, security groups, CDN, WAF, etc.) and identity and access management (IAM, EntraID, SSO, etc.)Experience with any of our wider tech stack and partners, including Spacelift, Braintrust and ElevenLabs.More information:Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy.Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor! Compensation Range: 80K - 107.5KLocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentTechnologyDataCompensation80K – 107.5KThe top end of the starting salary range may not always be the top end of our banding. If you're unsure, you can check with one of our recruiters.Explore all our fantastic benefits here!

Our client is a fast-growing AI organisation looking for a Forward Deployed Engineer to join their team on a permanent basis in London. • 5+ years of hands-on experience in Forward Deployed Engineering, Applied AI Engineering, Technical Consulting, or a similar role, • Proven experience delivering AI or agentic systems into production, • Hands-on experience with LLMs, agent frameworks, MCP, prompt engineering, and evaluation, • Strong software engineering skills using Python, JavaScript, SQL, and APIs, • Experience integrating AI solutions with enterprise systems, ERPs, supplier portals, and internal platforms, • Ability to understand complex business workflows and translate them into practical AI-driven solutions, • Experience debugging, optimising, and improving AI agents in live production environments, • Strong communication skills, with the ability to engage senior stakeholders and explain technical solutions in business terms, • Experience working independently in customer-facing environments, managing delivery from discovery through to deployment, • Experience in retail, e-commerce, CPG, supply chain, procurement, manufacturing, or logistics would be advantageous, • Lead customer deployments from initial discovery through to go-live, • Map existing business workflows and identify opportunities for automation and process improvement, • Design and build agentic workflows, including actions, decision rules, exceptions, and fallback mechanisms, • Develop and deploy AI agents, integration code, scripts, and prototypes connecting to enterprise systems, • Debug, monitor, and optimise AI agents in production, focusing on measurable customer outcomes, • Lead customer working sessions, manage scope, and build relationships to support wider deployments, • Develop reusable templates, documentation, and runbooks to improve delivery efficiency, • Collaborate with Product and Engineering teams to share customer insights and improve the platform, • Take ownership of technical delivery while balancing customer requirements with practical engineering solutions All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief. #J-18808-Ljbffr

AI Engineer Our client, a leading global supplier for IT services, requires AI Consultant/Engineer to be based at their client's office in Cardiff / Manchester / London, UK. This is a hybrid role - you can work remotely in the UK and attend the Cardiff / Manchester / London office 2 days per week . This is a 12 month temporary contract to start asap Day rate: Competitive Market rate Join a high-performing engineering team delivering next-generation AI and digital transformation solutions within the financial services sector. This role offers the opportunity to design, build, and deploy enterprise-scale Generative AI and Agentic AI solutions that enhance customer experiences, improve operational efficiency, and accelerate business innovation. You will work with cutting-edge technologies including Google Gemini, Open-Source Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agent Development Kits (ADK), Model Context Protocol (MCP), and Google Cloud Platform (GCP). The role provides exposure to cloud-native architecture, MLOps, AI governance, and enterprise-scale solution delivery, enabling you to contribute to transformational programmes while remaining at the forefront of AI innovation. • Design, develop, and implement scalable Generative AI and Agentic AI solutions using Gemini and Open-Source LLMs., • Build and optimise RAG-based applications leveraging enterprise knowledge sources and vector search technologies., • Develop AI-powered APIs, microservices, and reusable components to support business-critical applications., • Fine-tune, evaluate, onboard, and operationalise foundation models to meet specific business requirements., • Collaborate with business stakeholders, architects, and engineering teams to translate use cases into technical solutions., • Deploy and manage AI workloads on GCP using modern cloud-native and container technologies., • Implement MLOps best practices covering model deployment, monitoring, CI/CD, automation, and governance., • Ensure solutions meet enterprise standards for security, reliability, scalability, and performance., • Conduct performance tuning, observability monitoring, and root cause analysis for production systems., • Provide technical leadership, mentoring, and support for AI engineering best practices across delivery teams. Essential Skills: • Strong hands-on experience in Generative AI, Agentic AI, and Large Language Model (LLM) implementations., • Proven expertise with Google Gemini and Open-Source LLM ecosystems., • Advanced Python development skills with experience building enterprise-grade applications., • Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures., • Strong understanding of ADK, MCP, AI orchestration frameworks, and integration patterns., • Experience developing REST APIs, microservices, and distributed applications., • Hands-on experience with Google Cloud Platform (GCP) services and cloud-native architectures., • Strong knowledge of MLOps practices, CI/CD pipelines, model lifecycle management, and automation., • Experience with Docker, Kubernetes, container orchestration, and scalable deployment strategies., • Excellent analytical, problem-solving, stakeholder management, and communication skills. Desirable Skills: • Experience within financial services, banking, insurance, or other regulated industries., • Expertise in GenAI, Gemini, and Open-Source LLMs, including fine-tuning and onboarding., • Strong experience in Python, RAG, ADK/MCP, APIs, and microservices.Skilled in GCP, MLOps, CI/CD, Docker, Kubernetes, and scalable AI solutions., • Proficient in observability, performance optimization, security, and production reliability., • Knowledge of Responsible AI, AI governance, compliance, and model risk management., • Experience with LangChain, LangGraph, LlamaIndex, CrewAI, Semantic Kernel, or similar frameworks., • Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or pgVector., • Experience implementing observability and monitoring solutions for AI platforms., • Understanding of event-driven architectures, messaging platforms, and enterprise integration patterns., • Exposure to data engineering, feature stores, and enterprise data platforms., • Experience leading technical design discussions and architecture reviews., • Knowledge of AI security, prompt engineering, guardrails, and reliability engineering practices., • Relevant cloud and AI certifications (Google Cloud, Kubernetes, Generative AI, or ML certifications). Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion. Please do keep an eye on our website jobs/ for future roles. #J-18808-Ljbffr

Join our new AGI safety product team and help transform AI control research into practical tools that directly reduce risks from AI. As an Research Scientist (Control), you’ll work closely with Marius (CEO & currently leads the monitoring efforts), other control researchers and product engineers. We are currently building Watcher, a monitoring tool for coding agents. Our monitoring research agenda attempts to translate compute into safety at scale. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly. You will like this opportunity if you’re passionate about using empirical research to make AI systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety. TLDR: you will design & implement control protocols (see e.g. [Greenblatt et al, 2023]) and test them on real-world production systems at scale. Research & Development Design and conduct experiments to test monitor effectiveness across different failure modes and agent behaviors Build and maintain evaluation frameworks to measure progress on monitoring capabilities Build and maintain high-quality datasets to train and test monitors on Iterate on monitoring approaches based on empirical results, balancing detection accuracy with computational efficiency Contribute newly discovered coding agent failure modes to Apollo's shared failure mode library (owned by the AI Security & Control Researcher/Engineer) as they surface during monitor design, evaluation, and iteration Stay current with research on AI safety, agent failures, and detection methodologies Stay current with research into coding security and safety vulnerabilities Fine-tuning & Monitor Development Fine-tune open-source models to create efficient monitors for high-volume production environments Design and build agentic monitoring systems that autonomously investigate logs to identify both known and novel failure modes Incorporate adversarial findings from red‑teaming campaigns into monitor design and evaluation, closing the loop between attack and defense Must-haves 2+ years of experience conducting empirical research with large language models or AI systems Strong experience with AI coding agents. For example, having extensively used and compared frontier coding agents, or having designed / developed coding agents Experience with LLM-as-a-judge setups or AI monitoring more broadly Experience designing and running experiments, analyzing results, and iterating based on empirical findings e.g. prompting, scaffolding, agent design, fine-tuning, or RL Strong Python programming skills Demonstrated ability to work independently on open-ended research problems Good-to-haves Familiarity with AI safety concepts, particularly agent-related risks Familiarity with computer security, e.g. security testing and secure system design Experience fine-tuning language models or working with smaller open-source models Previous work building developer tools or monitoring systems Publications or contributions to AI safety or ML research Experience with production log systems or production log analysis We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. Hierarchical monitoring for coding agent security: Design a multi-layer monitoring system for detecting security vulnerabilities introduced by coding agents. Start by cataloging common security failure modes (e.g., hardcoded credentials, SQL injection vulnerabilities, insecure API calls). Build specialized monitors for each category, then create a hierarchical system where fast, efficient first-pass monitors flag potentially problematic code for deeper investigation by more sophisticated monitors. Design a backtesting strategy for Watcher: Validate the system on synthetic test cases and real agent outputs, iterating to optimize the tradeoff between detection rates and false positives while maintaining low latency for most monitoring decisions. Fine-tune an open-source model to be a great monitor: Take an open-source model and fine-tune it on our large dataset of coding agent failures with high-quality ground truth labels. Test different fine-tuning techniques and measure generalization to our held-out data. Compare against prompted baselines on accuracy, cost and latency. The goal is to fine-tune models to lift the pareto frontier of monitors. This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco: $204,000 – $385,000; London: £136,000 – £258,000. We will be looking to meaningfully raise salaries soon. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) Time Allocation: Full-time Location: This is an in‑person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn’t guaranteed for every role or candidate, but if we make you an offer, we’ll work with you to find the right visa route. The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. #J-18808-Ljbffr

Join to apply for the Product Engineer role at Conduct. Be among the first 25 applicants. Conduct is reinventing how enterprises run their legacy software, solving a multi-billion-dollar problem at the core of global business and manufacturing. While the world’s largest enterprises still rely on decades-old systems, we bring them back to the technological frontier. Our AI platform transforms weeks of manual system analysis into instant insights, turning customization chaos into clarity. We help industry leaders such as Daimler Truck ($40bn+ revenue) and Rittal ($3bn+ revenue) cut millions in IT costs, accelerate ERP project timelines by months, and unlock revenue faster with smarter systems. We’re beginning with SAP, but that’s only the start. At Conduct, we are pioneering a new era of Enterprise System Intelligence and are on a mission to transform the entire enterprise stack. We’re looking for AI-native product engineers: excellent software engineers with exceptional instincts for working with LLMs. You know how to prototype fast, tune prompts effectively, and build production-quality end-to-end features that matter. You’re not just interested in AI. You know how to ship with it and you bring the engineering skill to do it right. At Conduct, we’re building tools to tackle one of the biggest and most underserved problems in IT: helping the world’s largest companies understand, maintain, and modernize the tens of millions of lines of custom code running on legacy ERP systems. The scale is enormous, and the opportunity even more so. You’ll work across the full stack – shipping frontend UI, integrating LLMs and generative AI tooling, building backend logic – and operate in fast cycles with massive scope alongside a team that cares deeply about winning. If you’re a great engineer with product obsession, LLM intuition, and the hunger to build something enduring, we’d love to talk. • Inbound customer demand: We are seeing strong demand for new features. You will expand our ability to meet that demand with speed., • Translating signal into product: You’ll be working closely with real users, turning raw feedback and behavioral insights into product experiences that truly land. Your work will shape the interface between LLMs and enterprise users at scale., • Make LLMs feel magical: Many upcoming features rely on non-trivial LLM behaviour through complex agent pipelines. Your job is to make these complex workflows feel simple and seamless., • Iterate in the unknown: Getting to great outcomes will take fast prototyping, instinct, and a lot of trial and error. There are no perfect solutions: just creative, persistent execution., • Own the experience: You’ll ship full-stack features including UX, backend, and prompt logic. You’ll have a direct impact on how our most important customers experience the product. We welcome candidates across all experience levels. What matters most is mindset: perseverance, curiosity, and a track record of shipping things that matter. • Be an excellent software engineer, or on a clear trajectory to become one, through demonstrated work and learning velocity., • Be deeply excited and motivated about shipping product to users., • Have strong product instincts and creative drive., • Have a sharp intuition for working with LLMs, knowing how to prompt, tune, and integrate them into compelling user experiences and with evidence of this through work, side projects, or hackathons., • Use AI tools as a natural part of daily development, understanding how to use them most effectively and when they should be avoided., • Operate comfortably across the stack building UI, backend logic, and prompt workflows as needed., • Learn fast, prototype even faster, and use customer feedback to guide iteration., • Be high-agency, resourceful, and outcome-driven; thriving in ambiguity and getting things done without waiting for permission., • Be happy working in person with the team in our Fitzrovia, London office by default to build an exceptional company together. We’re an engineering team that values strong fundamentals and fast iteration over experience with specific tools. That said, here’s a snapshot of the technologies most relevant to product engineers today: • Languages & Stack: Primarily TypeScript, with parts of the backend in Kotlin. Product engineers work full-stack: frontend, backend services, and LLM integrations., • LLM Integration: We support both real-time and async LLM workflows across retrieval, search, and generation over large codebases., • Tooling & DevX: Development is containerized and local-first, with CI/CD via GitHub Actions. Prompt iteration and observability tools support rapid experimentation and feedback loops., • Deployment & Infra: While product engineers aren’t expected to own infra, familiarity with Git-based deploys and Terraform-managed environments is helpful. We’re a high-energy, high-trust team with big ambitions. Our culture blends focus, intensity, and humour: we’re serious about impact, but never take ourselves too seriously. We’re here to build a generational company, and we know that means pushing past limits while enjoying the ride together. In our Fitzrovia office, collaboration is fast and constant. Everyone owns their outcomes and takes initiative, but we succeed only as a team. We believe in learning fast, supporting each other radically, and finding joy in the process. • 💰 Generous cash compensation., • 🏦 Share options under the tax-efficient EMI scheme., • 🍔 Breakfast and dinner every day in the office., • 🍫 A truly unparalleled snack selection., • 😎 Biannual full-team offsites., • 🎉 Regular socials., • 🚑 Broad private health insurance including dental and optical cover., • 🤸♀️ Monthly wellbeing payment on top of your salary to spend as you see fit., • ✈️ Take-what-you-need leave policy., • 🧓 Pension salary sacrifice reinvestment scheme. We welcome applications from candidates who require visa sponsorship. At Conduct, we know that diversity isn’t optional — it’s one of our greatest strengths. Teams that bring together different backgrounds, perspectives, and experiences are more creative, resilient, and effective. We’re committed to creating an environment where everyone feels welcome, supported, and able to do their best work. We encourage applications from people of all identities and communities, including those underrepresented in technology and engineering, because the best ideas come from teams that reflect the world around them. #J-18808-Ljbffr

Enterprises are adopting AI faster than they can govern it - and they are looking for a partner who can do two things at once: speak credibly about AI trust, governance, and security, and actually build. The Forward Deployed Engineer (AI) is that partner. You are the technical face of AvePoint inside client organizations: equally comfortable whiteboarding AI trust and governance concepts with a CISO, translating a business problem into a scoped AI build project, and writing the first working prototype yourself. You embed with clients, ship real outcomes, and own the engagement end to end. This is not a pre-sales role with a demo script, and not a back-office delivery role. It is the engagement model pioneered by leading AI companies for their strategic enterprise customers: a senior engineer deployed forward, with the autonomy to own the problem from first workshop to production. Lead workshops that help clients understand and take control of their AI landscape - agents, copilots, models, and the data behind them, including the shadow AI they didn't know about. Explain AI governance, security posture, and resilience concepts credibly to both technical teams and executives. Guide clients through obligations such as the EU AI Act, NIS2, and ISO 42001, and help them stand up practical operating models: AI inventories, approval workflows, risk classification, and audit evidence. Sit with business stakeholders to understand the underlying need behind "we want AI for X." Identify the highest-value use cases, define success criteria, and translate ambiguous requirements into concrete, estimable technical scopes - architecture outlines, data and integration requirements, delivery phases, effort and risk assessments. Write statements of work that engineering teams can actually deliver and clients can actually sign. Develop prototypes and production components for client AI solutions: agent workflows, RAG pipelines, LLM integrations (Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic), MCP-based tool integrations, and the governance and security controls around them. Deliver custom adapters and local tooling for regulated, cloud-restricted, or air-gapped environments where standard SaaS approaches cannot go. Act as the trusted technical advisor from first workshop through go-live: run enablement sessions, support adoption, troubleshoot in production, and expand the engagement where you see genuine value for the client. • 5+ years in software engineering, solutions architecture, or technical consulting, with at least 2 years hands-on with modern AI/LLM systems in real projects (not only experimentation)., • Practical experience building with LLM APIs and frameworks (e.g., Azure OpenAI, Bedrock, Vertex, LangChain, Semantic Kernel) and patterns such as RAG, agentic workflows, and tool/function calling., • Machine Learning Expertise: Hands-on machine learning experience spanning model development, evaluation, deployment, and operationalization, with a focus on enterprise AI solutions, predictive analytics, and scalable MLOps practices., • Strong programming skills in Python and/or C#/TypeScript, plus working fluency with at least one major cloud platform (Azure, AWS, or GCP), including identity, networking, and data services., • Demonstrated ability to scope technical projects from ambiguous business requirements: you can run a requirements workshop, challenge assumptions constructively, and produce a credible plan with phases, estimates, and risks., • Excellent communication in front of senior stakeholders - you can explain why AI governance matters to a board member and debate vector database trade-offs with a platform engineer in the same meeting., • Willingness to travel to client sites and to operate with high autonomy in ambiguous, fast-moving engagements., • Working knowledge of AI governance and compliance frameworks: EU AI Act, NIS2, ISO/IEC 42001, NIST AI RMF, or Gartner's AI TRiSM model., • Experience with AI security topics: prompt injection, data leakage, agent permissioning, model and data security posture (AI-SPM/DSPM concepts)., • Familiarity with the Model Context Protocol (MCP), agent runtimes, or vector databases (e.g., Pinecone, Milvus, Weaviate, Chroma)., • Background in enterprise data governance, security, backup/resilience, or the Microsoft 365 / multi-cloud ecosystem where AvePoint operates., • Experience delivering into regulated industries (public sector, defense, financial services, healthcare) or air-gapped/sovereign environments., • Prior experience in a forward-deployed, embedded consulting, or customer-facing engineering role., • Additional languages relevant to your region's client base. Within your first 6-12 months, you will have led AI discovery and governance workshops for multiple enterprise clients, scoped and won at least one significant AI build or governance engagement, and delivered working software into a client environment. Above all: clients ask for you by name. AI adoption has outrun enterprise control, and regulators have noticed. Every large organization now needs to see, govern, secure, and sustain its AI estate - and most need a partner who can both advise and build. As an FDE at AvePoint you will help define this engagement model from the ground floor, work at the frontier of agentic AI and AI trust, and do it with two decades of enterprise data governance and resilience expertise behind you. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice. #J-18808-Ljbffr

AI is being run everywhere, by humans and agents. Harmonic Security governs all of it. The AI Governance and Control (AIGC) platform understands user/agent intent and data context in real time, giving security teams visibility and control across every tool and workflow so companies can move faster with AI while minimizing risk. We operate in one of the fastest‑moving spaces in tech: the emerging intersection of AI and cybersecurity. It’s a market still being defined, and we’re among the first to build natively for it—protecting sensitive data in real time, at the endpoint, with minimal friction for the teams using it. Enterprises get full visibility and control. Their people get to innovate without guardrails slowing them down. Named to the Rising in Cyber 2026 list, Harmonic is gaining serious recognition and traction. We’re led by deep cybersecurity expertise and backed by investors who know the space: N47, Ten Eleven Ventures, and In‑Q‑Tel. As AI adoption inside the enterprise accelerates, the ability to safely observe, control, and enforce policy in real time isn’t a nice‑to‑have. It’s mission‑critical infrastructure. That’s what we build. Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work—from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We’re a small but mighty crew where every person plays a critical role and we’re committed to using AI to work smarter and faster. We’re looking for a Backend Engineer who has an appreciation for all things security and system interconnectivity. This is a very hands‑on technical role where you will be responsible for designing, building and maintaining scalable integrations between our core applications, identity providers and data security platforms. • Own deliveries and features from start to finish, • Design, build, and own backend services in a microservices‑based, event‑driven architecture, • Implement core domain logic that drives key product workflows and system behavior, • Ingest and process high‑volume usage and event data from customer‑facing endpoints, • Build backend services that support operational, analytics, and reporting use cases, • Model, persist, and manage domain data, enabling querying, filtering, and lifecycle management, • Expose well‑designed APIs and webhooks consumed by customers, UIs, and external systems, • Power customer‑facing UI experiences by providing backend APIs for visibility, analytics, and configuration, • 3–5+ years of professional software engineering experience building backend services and distributed systems in the Java ecosystem (Java, Spring Boot, Maven/Gradle), • Strong understanding of event‑driven architectures, asynchronous processing patterns, messaging systems, and distributed system design, • Proven experience designing and maintaining RESTful APIs, webhooks, and service‑to‑service integrations, • Comfortable operating in AWS, GCP, or Azure environments and working with modern observability tooling, logging, and monitoring platforms, • A track record of delivering performant, reliable and scalable applications, • Excellent collaboration and communication skills in cross‑functional teams, • Have experience building products in cybersecurity, identity, governance, compliance, data protection, or enterprise SaaS environments, • You understand not just how to build systems, but why architectural decisions matter, • You can balance scalability, reliability, maintainability, and speed of execution, • You think critically about security, observability, and operational excellence from day one, • Love the idea of blending software development, distributed systems and data‑intensive applications, • Strong familiarity with authentication and identity technologies such as OAuth, OpenID Connect (OIDC), SAML, SCIM, Entra ID (Azure AD), Okta, or other enterprise identity providers, • Thrive in fast‑paced startup environments where ambiguity is the norm, • Enjoy shaping culture and engineering practices, not just writing code, • Leverage AI tools as an engineer to help you build smarter, faster and better This isn’t just a job – it’s a chance to help define a category. Harmonic Security was named to the Rising in Cyber 2026 list, and we’re just getting started. We’re building at the intersection of AI and security, carving out an emerging market where the rules haven’t been written yet, and the people who join now will write them. We believe today’s talent is tomorrow’s success, and we’re committed to creating an environment where you can do the best work of your life. • Recognized momentum – We made the Rising in Cyber 2026 list, a signal that the market is taking notice, • Rare market opportunity – Join early in a category‑defining company at the convergence of AI and security, where your work directly shapes how enterprises tackle one of the biggest unsolved problems in tech, • Competitive pay and meaningful equity – A real stake in Harmonic’s success, not a token gesture, • Comprehensive benefits – 401K, pension plan, generous PTO, and flexible hybrid work, • A small, high‑trust team that values transparency, creativity, and continuous learning – no politics, no bureaucracy, • Thoughtful leadership – that cares deeply about your growth, not just your output, • Annual global off‑sites – past trips include Lisbon, Portugal and Nashville, TN, • Real ownership – you’ll shape the product, the culture, and the direction of the company from day one, • Flourish in the Unknown: We embrace new, unfamiliar situations that require initiative and rapid decision‑making. We orient ourselves quickly and deliver results with minimal guidance., • Never Full: We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more., • Perfect Harmony: We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work. Compensation Range: £89K – £105K #J-18808-Ljbffr

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. 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 organisations build their digital core, optimise 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. • 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. London All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well‑being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognised as one of the World’s Best Workplaces™. Join Accenture to work at the heart of change. Visit us at www.accenture.com . #J-18808-Ljbffr

Hybrid in London, United Kingdom You’ll design and build AI agents that run whole business processes end to end, and show how far iwoca can take them. Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That’s why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it’s needed. We’ve already cleared the way for 100,000 businesses with more than £5 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. Direct Acquisition includes iwoca’s Marketing, Sales, Brand and Acquisition Tech teams. Together, they reach UK businesses of all shapes and sizes through paid and organic marketing channels and direct sales. A new team in Direct Acquisition builds agents that automate and improve acquisition processes. That’s its only focus, and it works closely with Acquisition Tech. It’s small – a product owner and you – and everyone builds. You’ll report to the Head of Direct Acquisition, who sets the commercial direction. As the Applied AI Engineer, you’ll build the agents and the systems around them. Most of the work is system design and backend engineering. You’ll start with direct mail. The first goal is an agent that plans each monthly round, uses iwoca’s existing predictive models to build the mailing file, and learns from the results as they come in. The pattern is simple to say and hard to get right: the agent orchestrates, deterministic code does the work, and a human in the loop approves the file before it goes to print. You’ll work with the people who run each process to understand the edge cases, and with Core Systems and Compliance on access and controls. The agents don’t exist yet, and much is still open: which processes the team takes on, and what the architecture looks like. You’ll own those design decisions and write most of the code yourself, much of it with AI coding tools. Some of this won’t work, and finding out why is one of the main outputs of the role. • Architecture. You’ll design what agents need to run reliably: memory that persists between runs, task management, access to tools, permissions, and a record of every decision and why. You’ll build each piece so the next process can reuse it., • Guardrails. You’ll decide where the agent uses judgement and where code enforces rules the agent can’t change, like suppressions, compliance checks and budget limits., • Delivery. You’ll own each agent end to end: connect it to iwoca’s predictive models, data pipelines and channel tools, and run it alongside the current process until it has shown it works., • Measurement. You’ll track how often agents need a person, where they fail, what they cost, and what they’re worth. We’re looking for the depth of someone who has solved hard problems, and the pace of someone who moves fast in areas that are new to them. • System ownership. You’ve owned a complex system end to end, from design to running it in production, and lived with the consequences of your architecture choices., • Design judgement. You’ve made architecture decisions other people built on, and you can explain the trade‑offs and what you’d change. When an idea won’t work, you say so and offer a better one., • Pace. You’ve got things live quickly in unfamiliar areas and they kept working once people relied on them., • Agent engineering. You’ve built systems where LLMs take actions – more than chat or summaries – and you can explain what went wrong and how you fixed it. You know when a problem needs an agent and when it needs a for‑loop., • Controls. You’ve built permissions, data access rules and audit trails into systems from the start., • Constructive challenge. You work well with commercial and product colleagues, and when an idea won’t work, you say so and offer a better one., • AI leverage. You’ve used AI coding tools to produce engineering work you couldn’t have delivered without them – a service, an integration, or an internal tool others use. You have opinions on how to get the most out of them, and you check their output before it reaches production., • Communication. You write and speak clearly, directly, and concisely. You adapt technical detail to your audience., • Languages and data tools. You’ve worked with Python, Go, Snowflake or dbt., • Evaluation. You’ve built evals that measure how an agent performs and where it fails., • Marketing and growth tech. You’ve worked with ad platforms, CRMs or direct mail., • Quantitative foundations. You come from a numerical or technical field, such as physics, engineering, maths or computer science. We expect to pay from £80,000 to £100,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence‑based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We’re a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. We put a lot of effort into making iwoca a great place to work: • Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks., • Events and community‑led groups, including running groups, padel, and monthly ping‑pong and pool competitions., • Medical insurance from Vitality, including discounted gym membership., • A private GP service (separate from Vitality) for you, your partner, and your dependents., • 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave., • A one-month, fully paid sabbatical after four years., • Instant access to external counselling and therapy sessions for team members that need emotional or mental health support., • 3% Pension contributions on total earnings., • An employee equity incentive scheme., • Generous parental leave and a nursery tax benefit scheme to help you save money., • Electric car scheme and cycle to work scheme., • Two company retreats a year: we’ve been to France, Italy, Spain, and further afield., • A learning and development budget for everyone., • Company‑wide talks with internal and external speakers., • Access to learning platforms like Treehouse. #J-18808-Ljbffr

Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes? Embedded Innovation Teams are cross‑functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem‑first rather than tool‑first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster. As a Software Engineer / AI Engineer, you will build and ship AI‑powered features as part of a cross‑functional Innovation Squad, working inside a business function. You will deliver the set technical direction to production standard, working autonomously within a defined problem, building and testing tool use, retrieval pipelines and agent workflows, integrating AI capabilities into enterprise systems, and contributing to evaluation, observability and guardrails. You will hold a high bar on code quality, flag risks and blockers early, and work alongside host‑function stakeholders to make sure what you build fits real workflows, not assumed ones. You'll also support handover and capability‑building so the solution is owned and operable after the squad moves on. • Build prototypes and proofs of concept and ship agentic AI solutions to production standard within a defined technical approach., • Implement and test tool use, retrieval pipelines, and agent workflows., • Contribute to evaluation, observability and guardrails for agentic systems., • Integrate AI capabilities into existing enterprise workflows and systems., • Maintain high code quality and documentation so patterns can be reused., • Flag technical risks and blockers early., • Interface with technical peers to finalize requirements and complete moderately complex bug fixes., • Build solutions for reuse, contributing to patterns, reference implementations, and starter kits so work done in one function can be picked up by another., • Instrument solutions to capture outcome data against baselines., • Work alongside host‑function stakeholders to ensure the build fits real workflows, not assumed ones., • Support handover and capability‑building in the host function so the solution is owned and operable after the squad moves on., • Keep abreast of new technology developments., • Take on related responsibilities as the squad's needs evolve., • Engineering experience: 3+ years in software engineering, with hands‑on experience building LLM‑powered applications in production (RAG, tool‑augmented agents or agentic workflows)., • Education: BS in Engineering, Computer Science, or equivalent., • Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time‑boxed cycles where validated outcomes matter more than perfect solutions., • Agentic AI / LLMs: Building RAG pipelines, tool‑augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability., • Agent fundamentals: Understands how agents use memory, tools, and retrieval to complete multi‑step tasks., • Enterprise integration: Integrating AI into existing systems via APIs and data pipelines., • Cloud: AWS, Azure, or GCP., • Delivery: CI/CD, modern SDLC, TDD, and code review., • Data: Working with relational, columnar and vector stores, grounded in sound data‑modelling principles., • Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs., • Communication: Clear written and verbal communication with technical peers and stakeholders., • Measurement: Instrumenting solutions to capture usage, productivity, and quality metrics against established baselines., • Comprehensive Pension Plan, • Generous vacation entitlement and option for sabbatical leave, • Maternity, Paternity, Adoption, and Family Care leave, • Personal Choice budget, • Internal communities and networks, • Various employee discounts, • Recruitment introduction reward, • Employee Assistance Program (global) If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or contacting 1-855-833-5120. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. #J-18808-Ljbffr

Reporting to the Director of Engineering | London (Shoreditch) | Full-time ThisThat is an influence intelligence company helping brands grow and govern influence. The $4T marketing industry is shifting from the personalisation era, obsessed with advertising effectiveness, to the community era, where influence is the currency. No governing system of influence exists yet. ThisThat is building it, making influence measurable, predictable, governable, and investable. Built on the world's largest brand lift dataset in influencer marketing, our continuous, compounding intelligence predicts, optimises, and measures influence at every stage, from strategy and planning through execution and reporting, connecting campaign performance to boardroom decisions. Trusted by 50+ leading agencies and 250+ global brands, including Meta, Unilever, Amazon, MrBeast, WPP, and Publicis. VC-backed with investment from four unicorn founders. Winners of Best Technology and Best Data-Driven Campaign at the Global Influencer Marketing Awards. We are looking for a senior full-stack product engineer to own and drive significant domains in a dynamic and growing product platform. You will need to be proactive, curious, and pragmatic, keen to learn and apply your existing knowledge. You should demonstrate high autonomy and accountability, with an ability to drive practical innovation and adapt to business needs. We are looking for people who are excited about the potential of influencer marketing and how technology can be used to drive increased growth and outcomes from campaigns. Experience in marketing/MarTech/AdTech and panels will set you apart in this role. You will build across four key products: • Our (mainly internal) platform, where our insight team and select partners design surveys and analyse results, • Our SaaS platform (2D), built for scale as a pure-tech product, • Our survey interface, where people respond to surveys, • Our client platform, where clients interact with our AI Agent “Thia”, track project spend and status, and plan strategies grounded in industry-leading data, • Build features across the full stack, significantly impacting internal and external products across the business, • Engage with all stages of the development process, from planning and refinement to execution and retrospectives, • Balance pace with quality to ensure you are always delivering the best value for the business, • Collaborate on driving technical best practices, helping to balance pace of delivery with quality, scalability and productivity, • Collaborate on and participate in high-speed processes and practices for writing high-quality code and conducting thorough code reviews, • Contribute to technical strategic decision-making, balancing the needs of the business with technical feasibility and performance, • This is a product engineering role: excellent communication with key stakeholders and a product mindset are essential, • Have a strong voice in problem discovery and solution architecting, always from a product and customer mindset, • Collaborate to ensure the ongoing reliability of our systems, • Build secure and performant code and systems, • ThisThat has a diverse set of skills in its small team: collaborate with them proactively to get the best outcomes, • Work directly with our data and product teams to build integrated solutions, • Communicate candidly and respectfully, aligning early on priorities, trade-offs, and changes, • Help teammates grow via pairing, code reviews, and coaching, reinforcing shared ownership and continuous improvement, • Build trust through 360 feedback: give clear, actionable feedback and invite it from others, • Expertise in TypeScript, • Expertise in either ReactJS or Angular, • Experience with NodeJS, • Strong experience with a cloud service provider like GCP, AWS or Azure, • Experience in early-stage, high-growth startup environments, • A product mindset and experience making product decisions, • Previous founding (or first few hires) experience, • Experience with NestJS, • Experience building AI (LLM)-integrated features, • Experience or interest in the creator economy, • A good eye for design and expertise with CSS, • Background in B2B SaaS and/or enterprise software, • TypeScript (backend & frontend), • Node.js with Hono or NestJS (backend), • React / Angular, • GitHub (with GitHub Actions), • Strong communication ability with engineers and commercial stakeholders, • Ability to reliably drive complex cross-team projects, • Excitement for the startup environment: this is a fast-paced company with high ownership and low ego, • You understand marketing measurement as both a data and a business problem, • A passion for continually improving workflows and processes, including with AI and agentic workflows, • You will be a real value-adder in a small team already defining a global category, with real ownership and responsibility from day one., • Base Salary of £80,000 - £110,000, • Share options so you benefit from our success, • Hybrid & flexible working (working from the office 3x per week) - and dogs are welcome at our Shoreditch office!, • Access to our Benefits package, to support your health and happiness, • Regular (optional) socials and away days ThisThat is committed to fostering a diverse, inclusive, and equitable workplace where all team members feel valued and empowered. We celebrate the unique perspectives and backgrounds of our employees and believe that diversity drives innovation and excellence. ThisThat is proud to be an equal opportunity employer. We welcome applicants of all races, national origins, genders, gender identities, sexual orientations, ages, abilities, veteran statuses, and other legally protected characteristics. If you need accommodations during the application process, please contact us. #J-18808-Ljbffr

Optima Partners is an advanced data and business consultancy headquartered in Edinburgh, UK. We are a practitioner-led organisation that collaborates with top consumer brands to drive transformation and foster customer-centricity through our expertise in customer strategy, innovative design and advanced data science and engineering. We are proud to include leading UK and global brands among our current clients, including Lloyds Banking Group, NatWest Group, Bank of Ireland, Nationwide, Aviva, Biogen, Eon Next, OVO, Virgin Media O2, BT, HMD Global, Centrica and GSK. We are obsessive about delivering value for our clients and work in a collaborative, engaged and creative way with our colleagues and clients. We are looking for an AI Solutions Architect to define and deliver end-to-end AI solution architectures that help clients transform business processes, improve decision-making and unlock measurable value from modern AI. With a strong focus on generative AI, agentic AI, retrieval-augmented generation and cloud-native delivery, this role combines hands-on technical leadership with the ability to translate complex business challenges into scalable, secure and production-ready solutions. As part of Optima’s growing AI capability within Engineering, you will work closely with colleagues across data science, data engineering, consulting and client engagement to shape client AI strategies, lead proof-of-concepts, establish reusable architecture patterns and support the early industrialisation of AI solutions in real operating environments. • Define and implement end-to-end AI solution architectures that incorporate modern generative and agentic capabilities, ensuring they are scalable, secure and production-ready., • Design AI application patterns such as RAG, orchestration and multi-agent workflows, tool and function calling, and human-in-the-loop processes, integrating them with enterprise data, APIs and microservices., • Ensure AI solutions integrate cleanly into cloud-native PaaS and SaaS environments, with robust approaches to real-time and batch processing where required., • Establish best practices for prompt engineering, model selection, grounding, evaluation and guardrails across AI solutions., • Lead AI and LLM proof-of-concepts at client sites, rapidly demonstrating how generative and agentic approaches can deliver measurable business value., • Apply hands‑on experience of agentic capability, including tool use, orchestration, autonomous and multi-agent workflows, to design and build working solutions rather than conceptual designs alone., • Support early industrialisation of AI solutions, contributing to the adoption of MLOps, LLMOps and AIOps practices such as evaluation, observability, versioning and responsible deployment., • Ensure AI solutions meet relevant standards and regulations for security, privacy and responsible AI, particularly in public sector and regulated environments., • Experience designing and delivering end-to-end AI solution architectures, including LLM applications, RAG-based systems, AI agents, agentic workflows and intelligent automation., • Strong understanding of solution architecture principles, cloud-native design, enterprise integration, APIs, microservices and scalable software delivery., • Hands‑on capability with Python and SQL, with practical knowledge of AI orchestration frameworks such as LangChain, LangGraph or similar technologies., • Knowledge of vector databases, semantic retrieval, prompt engineering, model selection, grounding techniques, evaluation approaches and AI guardrails., • Experience working with cloud environments and enterprise platforms, with Azure experience preferred, and an understanding of PaaS, SaaS, real-time and batch processing patterns., • Familiarity with Docker, CI/CD, infrastructure approaches, MLOps, LLMOps, AIOps, observability, versioning and production operations would be advantageous., • Strong understanding of responsible AI, security, privacy, governance, data lifecycle and data quality considerations, including risks such as hallucination, bias, data leakage and prompt injection., • Excellent consulting, communication and stakeholder management skills, with the ability to translate business needs into clear technical direction for both technical and non‑technical audiences., • Commercial curiosity, a proactive mindset and a passion for emerging AI technologies, reusable accelerators and identifying opportunities to create measurable business value. This is an exciting opportunity to work directly with clients, shaping and delivering production‑ready AI architectures that help organisations realise the potential of generative and agentic AI at scale, while developing your career within a specialist data, AI and engineering consultancy. • Competitive base salary., • Inclusion in our annual discretionary bonus plan with an on-target performance bonus of up to 15%., • Up to 37 days holiday inclusive of personal and public allocations. Seven are fixed days for Christmas and New Year, and 30 are floating days taken at your discretion, subject to client scheduling and line manager approval., • Private medical insurance, single cover., • Group life and income protection insurance., • Salary sacrifice pension scheme after three months’ employment., • Access to over 1,000 perks and discounts via an employee discount portal., • Dedicated development time plus tools and funding to support personal and professional development. #J-18808-Ljbffr

Security Assurance Lead - Cloud & AI Permanent | Belfast or London (Hybrid) | SC Held or Eligible Morela is hiring a Security Assurance Lead for a fast-growing UK sovereign AI scale-up. This is a permanent, full-time role, hybrid from either Belfast or London, reporting into the Security Lead. You will need to hold SC clearance or be eligible to obtain it. On offer is a competitive salary, pension, equity options and one of the most generous working patterns you will find anywhere. About the Client Our client builds a sovereign AI platform for organisations that can't compromise on security, including defence, national security, central government, policing and heavily regulated industries. They deliver real capability into some of the UK's most sensitive environments, so every feature is threat modelled, hardened and properly assured before it goes near customer data. Security is central to the business and is now getting serious investment. The company is scaling a dedicated assurance function so it can assure fast without slowing delivery down, and this hire is one of the founding roles in it. The Role You will be the independent assurance voice across the business, covering the cloud estate, the corporate environment and the AI capability built into the platform. You will set the security baselines that DevOps, IT and Product Security Engineering build to, then prove those baselines are being met through continuous monitoring and independent testing. Self-attestation won't be accepted as proof. The scope is wide and will keep growing. You will work with engineering, product, IT, commercial and leadership, and directly with customers, so the role suits someone curious and self-driven who wants a real hand in shaping how a security function grows and directly influencing new capability for defence. Responsibilities Help shape and deliver the overall security strategy, and play a key part in building out the assurance function as the business grows Set the security baselines for cloud, IT and product teams, and verify compliance against them independently Specify the evidence security testing needs to produce, and assure the processes and pipelines used to build the product Embed, integrate and continually improve security tooling across the full SDLC Independently test and verify platform-level AI controls, including prompt injection defences, agent permissions, provisioning guardrails and isolation, and own the baseline evidence pack Produce AI risk assessments and security posture reporting aligned to ISO 42001, the EU AI Act and the Cyber Resilience Act Support the running and upkeep of ISO 27001 and the wider enterprise compliance management systems Champion good security practice across engineering teams Essential Requirements Hands-on experience implementing and maturing CNAPP tooling such as Wiz Practical cloud security experience on at least one major hyperscaler, with a solid grasp of infrastructure, cloud and application security A track record of building assurance through continuous monitoring or automated evidence collection Experience running, auditing and developing ISO-based management systems, alongside broader governance, risk and compliance work Working knowledge of NIST frameworks Practical use of AI security and control frameworks such as the OWASP Top 10 for LLMs and MITRE ATLAS A drive to deliver rigorous assurance quickly and at scale SC clearance, or eligibility to obtain it Desirable Experience CISSP and/or CCSP certification ISO 42001 implementation, audit or certification experience Hands-on security testing of LLM applications or agentic AI systems Python or other scripting used in a security context Compliance-as-code or machine-readable compliance formats such as OSCAL Working Environment Permanent, full-time, hybrid from Belfast or London Competitive salary, company pension and equity options in a high-growth scale-up A working pattern that gives back around 30 extra days a year on top of annual leave, with full four-day weeks over the summer and December, regular paid Fridays off and early Friday finishes Cutting-edge AI tools used as everyday working kit A delivery-first culture that values impact over optics and people over politics, with real influence on how the business runs as it grows Interested? Get in touch with Adam Moore at with your CV and current availability. TPBN1_UKTJ

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., • 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., • Agent Copilot and Cisco Finesse integration experience, • SSML and advanced TTS tuning, • 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, • Access to Financial Wellness support, • Industry‑leading home working and mobility technology, • Private Medical Insurance, • Company shares (available after One year tenure), • Access to EAP scheme for you and your household, • Vehicle lease salary sacrifice scheme (available after One year tenure), • Cycle to Work Scheme, • 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

Salary: £130,000 – £150,000 Equity: 0.7% - 1% In-person, with flexible remote days European visa sponsorship available Aurora is a digital-first lifestyle management platform built for the world’s highest-performing individuals and organizations. Our members include tier-1 founders, executives, athletes, and families who delegate complex, ongoing needs across travel, dining, experiences, luxury purchases, and health. Aurora is mobile-first, conversational, proactive, and available 24/7 globally. Members interact with the product multiple times per day, often for time-sensitive, high-stakes decisions. This makes product quality, judgment, and system behavior directly visible to customers in real time. Agentified premium lifestyle commerce represents a $10bn+ opportunity. Legacy concierge and lifestyle services rely on fragmented CRMs and manual workflows that do not scale. Aurora combines automation, AI agents, and expert human curators into a single system designed for speed, accuracy, and leverage. We’ve seen exceptional early traction: • 51% DAU, 95% WAU, • Transaction volume and member spend already outperforming industry benchmarks by 5× within the first three months Aurora is backed and chaired by Alex Macdonald, the most successful founder in this category. So far, we’ve: • Raised >$5M from experienced operators and tier-1 investors, • Built a product with industry-leading engagement from paying members, • Collected a large, proprietary dataset of user context (preferences, calendars, health signals) that powers proactive AI behavior We are now expanding the founding engineering team as we scale the product and the member base. Aurora is built in person from our offices in London, New York, and Los Angeles. The engineering team works primarily from our London office in Belgravia, with flexible remote days. We’re hiring a Founding Product Engineer to own and ship user-facing, AI-driven features end to end. This is a hybrid role that sits between engineering and product. You will be hands‑on technically, while also acting as the product owner for specific features. You’ll define problems, shape solutions, work directly with curators and stakeholders, and ensure what we ship actually delivers value to members. You’ll work closely with the CTO, founders, backend and mobile engineers, and the operations team. Many of Aurora’s most important features live at the intersection of product judgment, ML systems, and agent orchestration - this role owns that intersection. This is a high‑ownership role. You will take ambiguous ideas, turn them into concrete systems, ship them to production, and iterate based on real customer usage and feedback. Over time, this role can evolve into senior product leadership, technical leadership, or a hybrid path, depending on your strengths and ambitions. Aurora attracts people who want to build their own companies. We treat this role as training for that level of ownership. • Own product features end-to-end, from problem definition to production, feedback, and iteration, • Act as product owner for assigned areas, balancing customer needs, technical constraints, and delivery speed, • Design and implement AI-powered workflows using LLMs, tools, and agentic systems, • Build and iterate on ML-driven features, including classification, ranking, extraction, and decision support, • Design agent flows that combine automation with human‑in‑the‑loop escalation, • Work closely with our internal domain experts to understand real operational pain points and opportunities for leverage, • Collaborate with engineers to ship reliable, scalable implementations, • Define success metrics and use qualitative and quantitative feedback to guide iteration, • Debug production issues related to AI behavior, data quality, or workflow design, • Contribute code across the stack where needed, with a bias toward shipping value, • 4+ years of experience building production software, • Proven experience shipping ML- or AI-powered features used by real customers, ideally at scale, • Experience working with LLMs, prompt design, tool calling, and agentic flows, • Strong understanding of how ML systems behave in production, including failure modes, • Comfortable writing production-ready Python code, • Solid understanding of backend systems and APIs, even if not infrastructure-focused, • Experience working with data pipelines, embeddings, retrieval, or RAG-style systems, • Ability to reason about latency, cost, reliability, and quality trade-offs, • You naturally think in terms of user outcomes, not just implementation details, • Comfortable operating with ambiguity and incomplete information, • Able to define the “right” problem before jumping to solutions, • Willing to make pragmatic decisions and adjust quickly based on feedback, • Strong communicator who can work across engineering, product, and operations, • Comfortable taking ownership and being accountable for results, • Enjoys being close to customers and real usage, • Wants to work in person with a high-performance team, • Experience acting as a product owner or tech lead on specific features, • Familiarity with Django or similar backend frameworks, • Experience with human-in-the-loop systems or operational tooling, • Understanding of mobile or frontend constraints, • Exposure to regulated or high-trust environments, • $2,000 Tech & Education budget, • Complimentary Oura ring or Whoop, • Complimentary longevity testing subscription, • Lifestyle perks, events, and access opportunities, • Full health benefits; 90% coverage, including full dental & vision, • Complimentary dinners and evening transport, • 15 Flexible remote days per year #J-18808-Ljbffr

Reed.ai is looking for a Senior Engineer (Agentic Developer) to join their team in Holborn, London. Join a collaborative, forward-thinking team that values creativity, experimentation, and impact—and help redefine the future of recruitment through intelligent, human-centered technology. Reed.ai is building its recruitment platform using an AI-agent-first way of working. Coding agents do most of the typing; engineers are responsible for what gets built, why, and whether it is good enough to deploy. The platform was built this way from the start with agent fleets working in evidence-gated waves under human direction and it has now launched its product to the market. You'll join a startup-style venture backed by the strength of an established business, at the moment delivery is shifting from a contracted build team to a permanent in-house core: the ways of working you help set now are the ones the platform scales on. We're looking for a senior engineer who has made the shift already. You will turn product intent into clear specifications. You will direct and coordinate coding agents across the stack. You will design the tests, evaluations and review gates that keep quality high. And you will be fully accountable for every line that reaches production, whoever, or whatever, written it. You'll write less code than in a traditional senior role and read far more. Success is measured by the outcomes you deliver, how reliable and safe the platform is, and how much the team's agentic workflow improves over time. Lines committed is not a measure we use. • Spec-first. Product intent arrives as a brief; work starts by writing the implementable specification and playing it back in plain language before build. The specification is the means of production, its precision sets the ceiling on what the agents can safely build., • Evidence-gated. Work ships when its gate proves green, tests passing on enforcing infrastructure, invariants held, migrations verified — not when someone asserts it. Work that cannot prove its gate reverts itself; a clean tree is a passing outcome., • Discernment. AI output is a claim, not a fact, a draft until a named human can defend its content without the tool. Fluent and plausible is not the same as correct, and passing output onward at face value is the failure mode we guard against hardest., • Drift-aware. The codebase moves faster than any document describing it. Verifying against the live repository is step one of every task; divergence between the signed-off spec and the code is a defect, even when the drifted version is nicer., • Communicating constantly. Shared surfaces are claimed before they're touched, coordination notes travel inside pull requests, and the daily standup ends with what did I change that someone else's brief still assumes?, • Translate product requirements into testable specifications and tasks, then plan and supervise coding agents across the full stack., • Maintain context packs, repository guidance and decision records to support consistent agent output, writing code directly where needed., • Define acceptance criteria and independent tests before generation, keeping security controls enabled throughout verification., • Review agent-generated code for correctness, security and architectural fit, and maintain automated quality gates in CI/CD., • Evaluate AI features for matching accuracy, regressions, adversarial cases, bias and fairness across candidate groups., • Maintain coherent architecture, restrict agent access and uphold security, privacy, UK GDPR and applicable recruitment AI obligations., • Improve agentic workflows, assess new tools and models, and mentor engineers in spec-first, agent-driven development., • Collaborate with product, design and customer experience to test hypotheses and deliver weekly releases behind feature flags., • Substantial commercial engineering experience at senior or lead level, building and running production SaaS systems., • Hands-on delivery using AI coding agents such as Claude Code, Cursor or Codex, with evidence of effective workflows, failures caught and results achieved., • Strong critical code-review skills and clear written communication to produce precise specifications for agents., • Strong PostgreSQL, relational design, REST API and cloud-native fundamentals (AWS preferred), with depth in at least two of Go, Python and TypeScript., • Experience in automated testing, CI/CD, DevOps and live database migrations, alongside a working understanding of security, data protection and GDPR., • Desirable: experience building or evaluating LLM features, including retrieval, embeddings, vector search, agent orchestration and evaluation frameworks., • Desirable: experience with OpenSearch/Elasticsearch, Docker, Kubernetes or event-driven architecture, plus front-end performance and accessibility., • Desirable: recruitment, HR technology or matching-system knowledge, and experience in startups or new ventures within larger organisations., • Hybrid working as standard, • 25 days annual leave plus bank holidays, • Flexible holiday scheme, • Paid time off to move home, • Contributory pension scheme, • Enhanced family leave benefits, • Insurance benefits including life assurance, • Love Mondays events, • Discount scheme including gyms and popular retailers, • Range of wellbeing and mental health support avenues, • Office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep. #J-18808-Ljbffr

Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs specialist agents, purpose-built for financial services, to eliminate manual work across customer support and back-office operations. Together, they give product and operations teams the visibility and control to trust every outcome. We're a team of builders from companies like Monzo, Wise, Revolut and Google. If you're excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we'd love to hear from you. This is a role where you’ll own opportunities and outcomes all the way from conversations with customers to testing hypotheses, running experiments, and proposing and delivering optimisations in our agent. You will: Be at the frontline of our product - talk to customers and align directly on what success looks like and how it’s measured. You’ll use raw, real-world data to form clear, actionable insights. Directly optimise the performance of our agent, tuning and improving it against those metrics for every customer we onboard. Own the optimisation flow end to end - you’ll use data to translate opportunities into tangible improvements in our agent, and close the loop by delivering and demonstrating that value. Get obsessive with the data: understand the data at the lowest level, then leverage this to form and test robust hypotheses about the bigger picture. Work across multiple teams and functions to bring shared understanding of where the highest impact opportunities are and how we deliver on them. Own your work end to end and scope your own initiatives - you'll be given real trust and independence, not a ticket queue. Turn ad hoc analyses and findings into powerful, scalable tooling for teammates and customers to self-serve. Significant data science experience at a lead/staff level; building robust data pipelines is second nature, you’re fluent in SQL and Python, and have a strong understanding of statistical methods. A background working in a startup or a fast-moving tech environment, close to the product or customer side of the business. A knack for solving data puzzles and going from SQL queries to clear conclusions and next steps. A strong product mindset and pragmatic approach - you understand the right tradeoffs to make and can move fast to deliver product and business impact. Expert communication skills; this role will be partially customer-facing. Confident using AI to unlock efficiencies in your day-to-day while maintaining a high standard of output. This is a unique chance to be part of a team working with cutting-edge technology to reshape how businesses will operate in the future. Over the next 10 years, every company will need to embrace AI-powered operations to stay competitive, and this role puts you right in the middle of that transformation. You’ll tackle challenging and new problems, work with some of the most exciting brands across different industries, and be surrounded by a passionate, smart team that’s driven to build something groundbreaking. We’re still at early stages of building out our compensation bandings, whilst we continue to shape this, we’re open to chatting with people who have a range of salary requirements Our compensation package has two key components - base salary & meaningful equity Private medical & dental insurance 25 days holiday + bank holidays (or bank holiday opt out for 32 days holiday) Team socials and offsites Flexible working - we have an office in central London and a hybrid working approach. This role is open to London based or remote in the UK folks (ideally you'd be able to come into the office at least once per week) 30 mins Talent Screen with our Founding People & Talent 45 mins First Stage interview with the Hiring Manager, our Founding Data Scientist Take Home Task 1 hr Task Deep Dive interview with our Founding Data Scientist and CTO 45 mins Final interview with our Chief Scientist or CEO #J-18808-Ljbffr

We power people’s progress. 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 power people’s progress. 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. AI Platform provides the shared foundations that help teams across Preply build, ship, and operate AI capabilities safely at scale. The area includes ML Platform, GenAI Platform, and Agentic Platform. You will lead GenAI and Agentic Platform: approximately 8-12 engineers across two teams, while partnering closely with ML Platform leadership. GenAI Platform owns shared model access, routing, evaluation, observability, prompt and configuration lifecycle, retrieval, grounding, and guardrails. Agentic Platform builds on those foundations with durable execution, tools, state, context, memory, permissions, human controls, agent evaluation, and runtime safety. The two teams share a Product Manager. Together, you will shape strategy, priorities, adoption, and outcomes; clarify what belongs in shared infrastructure versus product teams; and evolve the platform as models, frameworks, and company needs change. Learn more through our Engineering Blog, Tech Radar, and YouTube channel. GenAI and Agentic AI are central to Preply's AI strategy. As the Senior Engineering Manager for GenAI & Agentic Platforms, you'll own the engineering strategy, execution, and organizational health of two complementary teams that take AI workloads from experimentation to reliable production systems. This is a multi‑team leadership role for a manager with strong technical judgment. You won't be the primary implementer, but you'll go deep on architecture and production AI, coach senior engineers, shape platform abstractions and operational standards, and partner with Product, Applied Science, Data, Security, and Engineering teams. • Set the long‑term engineering vision for GenAI Platform and the Agentic Platform, ensuring they operate as a single, coherent platform., • Partner with the Product Manager across both teams to define outcomes, prioritize investments, and measure the impact of the platforms., • Lead and develop approximately 8-12 engineers across two teams through clear expectations, direct feedback, performance management, career growth, and coaching., • Own hiring quality, team composition, evolving team boundaries, and operating models as the platforms and company change., • Guide architecture across model access, evaluation, observability, retrieval, agent orchestration, tools, state, memory, permissions and control planes., • Translate strategy into realistic plans, balancing foundational investment with near‑term product needs while surfacing trade‑offs and maintaining speed, quality, and predictability., • Align senior stakeholders across Product, Applied Science, Data, Security and Engineering on platform standards, build‑vs‑buy decisions and shared priorities., • 8+ years of software engineering experience, including 5+ years in engineering management and experience leading multiple teams or a multi‑squad technical area., • A track record of hiring, coaching, and retaining high‑performing teams., • Strong technical depth in platform engineering, backend or distributed systems, ML infrastructure or developer infrastructure., • Practical experience with production GenAI or Agentic systems and the ability to reason about model access, evaluation, observability, retrieval, agent orchestration, tool use, state, permissions, reliability, cost, and safety., • AI Expertise: You use Agentic AI beyond code generation to support architecture, planning, and decision‑making, while retaining human judgment for architecture, people decisions, business logic, and security, and establishing quality gates and safety nets for team workflows., • Experience leading platform products, with a strong instinct for self‑service, API design, developer experience, adoption and avoiding unnecessary complexity., • Clear communication and stakeholder leadership, with the ability to align teams with different incentives, make sound decisions with incomplete information and revisit assumptions as the ecosystem changes., • Experience managing teams that built AI or ML platforms used by multiple teams., • Experience with agent frameworks or durable workflow technologies such as LangGraph, OpenAI Agents SDK, or Temporal., • Hands‑on familiarity with GenAI evaluation and observability, prompt or model lifecycle, retrieval systems, multi‑provider routing or open‑model serving., • Experience making build‑vs‑buy decisions without locking the organization into one provider or framework., • Experience measuring platform success through adoption, customer outcomes, and engineering leverage rather than infrastructure delivery alone., • 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

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. We're hiring our first Demand Generation Lead for EMEA, Middle East and Emerging Markets. You'll own how LangSmith shows up in the region and how that turns into pipeline from partnering with performance marketing, lifecycle marketing, integrated campaigns and webinars to build a localized campaigns. You'll be deciding what works in the region, run the experiments to prove it, and then scale what works into a repeatable regional playbook. You’ll be a builder with central support from our US demand gen, product marketing, and marketing ops teams. Location: London or Amsterdam (one of our EMEA office hubs). Build the EMEA demand plan: which markets, which segments, which channels, and what each is expected to return Own an EMEA pipeline target and report against it sourced and influenced, by channel and by market Decide how the regional demand budget gets allocated for localized programs. You'll own the whole mix for the region and be hands-on in all of it: Paid digital: partner with performance marketing to support localized 3rd party promotion, paid search, paid social, and retargeting strategy, including account-level and contact-level targeting to give sellers air cover in named accounts Webinars: run a regional cadence across live demos, thought leadership webinars, technical workshops, and customer stories, in local time zones with local speakers where it helps Integrated campaigns: adapt global LangSmith narratives and build region-first campaigns when the market needs something different Lifecycle: build segmented nurtures and post-event follow-up for regional leads, with attention to language and time zone. Work directly with EMEA AEs and SDRs to understand what converts in-region and co-design follow-up plays that drive pipeline. Partner closely with Field Marketing to build joint regional plans, align priorities, and create a coordinated interface into the sales team. Support new-hire ramp by identifying warm signals, share campaign hand-off details, marketing programs, and proven outreach plays reps can use in their first 90 days. Collaborate with RevOps on targeting, routing, campaign tracking, and reporting to improve regional execution and pipeline visibility. 7+ years in B2B demand generation, growth marketing, or integrated campaigns, ideally in developer tools, infrastructure, or technical SaaS Track record of building demand programs in EMEA across multiple countries, with a clear view of where localization matters and where it doesn't You’ve personally run paid, webinars, lifecycle, and ABM You write the copy, build the landing page, pull the report, and launch the campaign Comfortable with a technical product and a technical audience. You don't need to write code, but you should be able to hold a conversation about agents, evals, and observability without a script Strong partner to Sales. You've worked shoulder to shoulder with AEs and SDRs and you're comfortable with a pipeline number Fluent in the numbers: funnel conversion, CPL, cost per SQO, pipeline contribution, and attribution's real limits Working command of a modern stack, Hubspot, Influ2, Qualified, Goldcast, Zoom Webinar, Zapier, SFDC, Reo.dev, and Clay Comfortable with ambiguity and true ownership Salary Range: 95,000 GPB - 125,000 GBP + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more. #J-18808-Ljbffr

AI agents are starting to do sales, procurement and operations work. They need to know which company they are dealing with. Most company data is in CRMs, ERPs and third‑party datasets. Records are duplicated, parent companies are missing, and addresses are outdated. This costs sales teams revenue and leaves operations and finance teams with avoidable risk and bad debt. Agents need a business identity layer they can trust. Kernel is building that layer: the business registry for agents. Every business gets a permanent KERN ID, along with the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel in their own systems, and we expect agents to use it far more. We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. You’ll be Kernel’s Product Marketing Lead, building product marketing from the ground up. There’s a lot of potential here, and you’ll set the direction. Your mission: make Kernel easy to understand and easy to buy, for customers and for the partners who sell it. Own positioning and narrative: for customers we sell to directly and for our partners. Write the technical story: work with Anders, Marcus, and Zak on product positioning and technical documentation. Own announcements and launches: plan each one and get it out. Equip sales: work with the sales team on messaging, demos and battlecards. Build our social proof: case studies and customer references. 5% “other stuff”: events, the website and anything else that helps the business. Most important is product marketing experience at a high-growth startup and examples of work that had a real impact on the business. You have written technical content before. You have led large projects such as a launch or a repositioning, and set the plan yourself. You work fast and closely with sales and the founders. You have taste and you execute well. Experience with video content is a plus but not a requirement. Need other product marketers around you to work best. Prefer to be handed a brief than to write one. Need perfect clarity before starting. Prefer long cycles and big “reveals.” Want fully remote work (we move faster in‑person). We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. Salary: £90,000 – £120,000 base + equity 24 days holiday per year + bank holidays £450 Monthly Office Dinner Allowance 2 weeks work‑from‑anywhere Generous parental leave policy Pension plan Top‑spec equipment and central London office Team events and dinners Work directly with the founders to scale the systems that power enterprise AI High‑autonomy, high‑trust environment with a small team shipping at pace We sponsor visas for exceptional candidates and provide relocation support for those moving to London. Stage 1: Introductory Call with Zak, Founding Growth (30 minutes) Stage 2: Case Study with Zak & Anders (CEO) Final Stage: Founders Interview. A conversation with the founders focused on values alignment and long‑term vision. Following Mutual Fit: Reference checks and offer stage. #J-18808-Ljbffr

About Team:BytePlus is ByteDance's enterprise technology business, bringing ByteDance's proven AI, cloud, data and media technologies to businesses around the world.We work with digital-native companies and large enterprises across industries including AI, internet, e-commerce, retail, advertising, media, entertainment, gaming and emerging digital businesses, helping them identify new opportunities created by frontier AI technologies and turn them into scalable products and business outcomes.We are looking for AI Solution Architects who are excited about the rapidly evolving AI landscape, enjoy solving ambiguous problems, and can bridge cutting-edge technology with real business opportunities.Responsibilities:- Work closely with customers, sales, and product teams to identify high-value AI use cases and emerging business opportunities across different industries; deeply understand customer workflows, pain points, and business models, and translate them into practical technical solutions using BytePlus AI models and cloud technologies.- Explore frontier AI capabilities across video, image, language, audio, and multimodal models, continuously identifying new applications enabled by advances in AI.- Design end-to-end solution architectures and lead technical discovery, workshops, demos, prototypes, and PoCs; build or work closely with engineering teams to implement customer solutions and accelerate their journey from concept to production.- Engage directly with customer stakeholders from engineering teams to C-level executives, clearly communicating both technical possibilities and business value; work with strategic customers throughout the full lifecycle from opportunity discovery through implementation, adoption, and expansion.- Capture recurring customer needs and market signals, identify Product Market-Fit gaps, and work closely with product and engineering teams to influence product roadmap; develop repeatable industry solutions, best practices, and reference architectures that can be scaled across customers and markets.- Support customers with day-to-day technical challenges and act as a trusted technical advisor.- Proactively explore new AI-native products, workflows, industries, and business models rather than waiting for predefined customer requirements. Qualifications Minimum Qualifications:- Bachelor's degree or above in Artificial Intelligence, Computer Science, Engineering, Mathematics, or a related field, with a strong technical foundation or equivalent hands-on experience.- We are particularly interested in candidates with experience in one or more of the following areas:- AI-native / internet businesses- E-commerce and retail- Advertising and MarTech- Media and publishing- Social and creator platforms- Entertainment- Film, VFX and short-form drama- Gaming- Other fast-growing digital businessesAlternatively, candidates with strong domain expertise working with large traditional enterprises are also highly valued.- Strong curiosity toward emerging AI technologies, with a demonstrated habit of actively testing new models, tools, and AI-native products.- Experience with APIs, software engineering, cloud technologies, AI/ML systems, or data technologies.- Hands-on coding ability, particularly in python, agent coding, etc., understand the customer‑oriented thinking and processes for MVP products.- Experience working in a B2B environment as a software engineer, solutions engineer, solution architect, FDE, consultant, product specialist, technical business development professional, or similar customer-facing role.- Ability to communicate effectively with both technical teams and senior business stakeholders, with comfort leading technical discussions, solution workshops, and customer presentations.Preferred Qualifications:- 2+ years of experience as an AI-native builder with strong technical and hands-on capabilities, exceptional learning agility, and the ability to independently discover new customer use cases or market opportunities.- 5+ years of experience as an industry expert with deep domain expertise in e-commerce, retail, advertising, media, entertainment, gaming, or another enterprise vertical, with credibility among senior customer stakeholders.- Experience identifying where AI can materially change existing industry workflows, and understanding of buyer needs, business problems, and how successful use cases become repeatable solutions.- 2+ years of study or professional experience in an English-speaking environment.- Currently based in Europe or North America. Job Information About Us 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. Why Join ByteDance 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. Diversity & Inclusion 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

Focuses on building and deploying GenAI/ML solutions on Databricks and cloud—emphasis is on production AI delivery rather than informal "vibe coding" tools. The Senior Manager, AI Forward Deployed Engineering will lead and grow Databricks' UK AI FDE team to deliver customer-facing GenAI and production ML engagements. The role focuses on recruiting and developing data scientists/ML engineers, managing strategic EMEA accounts, and shaping product and go-to-market strategy through customer-facing delivery. Lead and scale Databricks’ UK Forward Deployed AI Engineering (AI FDE) team to deliver professional services engagements that build and productionize GenAI and ML applications for enterprise customers. Drive team development, account strategy, and cross-functional collaboration to influence product and GTM priorities. • Hire, mentor, and build a high-performing AI/ML professional services team and team structure to support growth and scaled execution, • Manage a portfolio of key EMEA accounts, develop executive relationships (VP+, CIO/CDO), and act as a trusted advisor during complex AI transformations, • Align with Field Engineering and Sales leaders to define joint strategies and ensure coordinated delivery across functions, • Lead strategic AI professional services initiatives, practice development, and standardised delivery processes for repeatability, • Shape cross-functional collaboration by surfacing voice-of-customer insights to Product, R&D, and GTM teams, • Own OKRs for AI-services-led accounts, revenue, utilisation, and public references, • Represent Databricks as a thought leader in AI/ML, • Extensive experience managing, hiring, and scaling teams of data scientists and ML engineers, including developing scalable processes and leaders, • Proven ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful enterprise delivery, • Deep technical expertise in machine learning and GenAI with ongoing curiosity to stay current in the field, • Experience delivering production ML solutions in cloud environments (AWS, Azure, or GCP), • Track record of developing strategy with senior executive stakeholders to define program-level goals and align technical vision, • Demonstrated cross-functional leadership collaborating with Sales, Product, and GTM teams, • Experience in a customer-facing consulting or professional services leadership role, • Experience working with Databricks Location: London, United Kingdom. Role is remote for candidates based in the United Kingdom region only (not remote from other countries). Reports to the Director, AI FDE. Region-specific benefits are provided (details vary by location). Databricks Genie Lakebase Agent Bricks Lakeflow Lakehouse Unity Catalog AWS Azure GCP Leadership Team Building Hiring Mentoring Stakeholder Management Executive Communication Strategic Planning Customer-facing Consulting Professional Services Delivery Program/Project Management Cross-functional Collaboration Delivery Management OKR Management Escalation Management Product Influence Machine Learning/GenAI expertise #J-18808-Ljbffr

Lendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting This role combines applied AI engineering, process design and hands‑on Python development. You will work on loosely defined problems, test ideas quickly and turn the strongest ones into reliable services. In under a year, we built a chatbot across Loans, Credit Cards and Motor Finance that now handles more than 1 million customer chats a year at around a 70% resolution rate. It completes complex account actions autonomously, end to end, and we hold it to the same standard as our best operations agents. We have also built AI document parsers that process around 500,000 documents a year, and are trialling voice AI on our phone lines. You will help take these systems further and find the next high-impact processes to automate. Improve the chatbot's quality and expand the account actions it can complete autonomously. Expand our in-house document extraction pipelines to make parsing faster and more accurate. Design LLM-driven workflows that simplify case management. Find new opportunities to replace manual work with effective AI systems. Own solutions from discovery and prototyping through deployment, evaluation and monitoring. Strong engineering skills and experience building production systems. Hands‑on experience using LLMs in real workflows. Experience designing and improving prompts, retrieval pipelines, agent workflows and evaluations. An understanding of business processes and good judgement about where AI can simplify or automate them. The ability to structure ambiguous problems, test hypotheses and make progress with partial information. Clear communication and the ability to explain trade‑offs and influence stakeholders. Work with LLMs, retrieval systems, agents and automation pipelines every day. Join a small, autonomous team with meaningful ownership and decision‑making power. Introductory call Take-home exercise Take home debrief Case study Onsite final interview Winning team: the opportunity to scale up one of the world’s most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in‑person connection through socials and off‑sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long‑term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in‑house chefs on in‑office days at select locations Sustainable commuting: cycle‑to‑work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. #J-18808-Ljbffr

About Kernel Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this? Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third-party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing, writing off, or defaulting on bad debt that should have been caught earlier. Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust. Kernel is building that layer: the business registry for agents. We issue a permanent KERN ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them. We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. We are looking for Mid-Market Account Executives. This role is focused on selling into global mid-market businesses with distributed teams, multiple buying centres, layered governance, and high data sensitivity. These are strategic accounts where the impact of accurate hierarchies and clean CRM data is measured in millions. Our first ramped AEs are far exceeding quota, so we know the motion works. Our mid-market motion is working. We are generating strong demand and building pipeline within large organisations. You will be responsible for driving high six-figure opportunities and are confident that we will close the first 7 figure deals this year through complex, multi-stakeholder sales cycles. Our targets call for millions of additional ARR over the next year. You will play a major role in that. Hours - This will be an exciting but intense job. Kernel is growing extremely fast and hours can often be long. Many of our customers are on the West Coast, and meetings can be held late in the evening. Working location - Minimum 4 days a week in the London office (most people do 5). There will be international travel involved for this role in visiting prospects. You’ll manage complex sales cycles with some of the best mid-market businesses out there, from mid six-figure through to seven-figure+ deals. Multi-thread within accounts and build executive-level relationships, including VP and C-level stakeholders. Most opportunities will be sourced for you by the SDR team and Growth team, however sourcing additional pipeline is expected. You’ll collaborate with the wider team on GTM strategy as we expand our ICP & experiment in other verticals. You’ll help to create our sales processes as you build them. You’ll become the best person in the company at explaining & pitching the product. You’ll work closely with product, engineering, and customer success, bringing in insights from across the company and performing an essential part of our product feedback loop. Entrepreneurial: creative, resourceful. Executive presence: You are comfortable engaging VPs, CROs, CIOs, and senior RevOps leaders. All-in: hard-working, excited to stretch yourself, willing to take out the trash. Clear thinker, good writer: you can crisply articulate your ideas, goals, and plans and help our customers make sense of hairy consulting-like problems. 2-5 years of experience. At least 1 year consistently closing deals worth $50k+/year in a multi-stakeholder sales process, consistently hitting six- to seven-figure targets. Ability to execute on a consultative, solutions-oriented, value-based selling methodology (MEDDPICC). Track record of consistent over-achievement in past sales roles. Ability to discuss technical concepts with prospective customers and translate requirements into a demonstrable product. Comfort negotiating and navigating contracts, security and legal discussions without support. Strong verbal, written, and interpersonal skills. Startup/scale-up experience is a plus. Experience selling to Revenue Operations, GTM and/or Sales teams. Familiarity with Salesforce. Salary: £110k-£140k OTE + equity 24 days holiday per year + bank holidays £450 Monthly Office Dinner Allowance 2 weeks work-from-anywhere Generous parental leave policy Pension plan Top-spec equipment and central London office Team events and dinners Work directly with the founders to scale the systems that power enterprise AI High-autonomy, high-trust environment with a small team shipping at pace 30-minute intro call with Talent Partner. You’ll discuss your sales experience and motivations. 1-hour interview with Head of Sales. You’ll deep dive into your experience, sales targets & achievements, and Mid-Market AE at Kernel. Discovery role play (≤ 2 hours prep). Founders interview with Anders (CEO) for culture and values alignment. If there is mutual fit, we move to references and offer. #J-18808-Ljbffr

SLSQ128R19 Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks. We are looking for a Enterprise Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Manufacturing industry. Your mission will be to grow one of our most strategic Manufacturing customers. Reporting to the Director, Sales, as a Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals, • You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform, • You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement, • You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions, • Experience developing strong relationships with large Enterprises global accounts, managing virtual teams, and leading complex sales campaigns ideally in major manufacturing accounts, • You will have experience working in Big Data/ Cloud, • Proof of exceeding sales quotas in high-growth Enterprise software companies, • You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams, • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI), • Experience co-developing business cases and gaining support from C-level Executives, • You will have experience of value-based selling Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

SLSQ128R19 Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks. We are looking for a Enterprise Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Manufacturing industry. Your mission will be to grow one of our most strategic Manufacturing customers. Reporting to the Director, Sales, as a Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals, • You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform, • You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement, • You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions, • Experience developing strong relationships with large Enterprises global accounts, managing virtual teams, and leading complex sales campaigns ideally in major manufacturing accounts, • You will have experience working in Big Data/ Cloud, • Proof of exceeding sales quotas in high-growth Enterprise software companies, • You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams, • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI), • You will have experience co-developing business cases and gaining support from C-level Executives, • You will have experience of value-based selling Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Fin is the AI Customer Agent company 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 for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. At Fin, you will be a product engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few. As an experienced engineer you will: • Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day., • Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Fin's backend infrastructure, • Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday., • 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., • Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team., • 5+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team., • Experience collaborating directly with 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, • Experience with Distributed systems We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! • Competitive salary and equity in a fast-growing start-up, • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen, • Pension scheme & match up to 4%, • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents, • Flexible paid time off policy, • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones, • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too, • MacBooks are our standard, but we also offer Windows for certain roles when needed. #LI-Hybrid 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 ourcore values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. #J-18808-Ljbffr

Orbital is the AI platform for real estate legal work. Real estate shapes the world around us: our homes, our workplaces and our cultural landmarks. It’s the infrastructure that powers everyday life and is the world's largest asset class. Yet behind every single deal, real estate and legal teams work hard to navigate decades-old complexity; manually connecting documents, hidden obligations, geo-spatial context, and multiple parties into a path forward. We connect the legal and physical record, so that path is clearer than ever before. Our mission is to make real estate transactions faster, clearer, and less manual. Here, you'll be part of changing how the deals behind the largest asset class get transacted, and will help shape the future of real estate. A bit about us: We’re building at the forefront of AI technology, without losing the deeply human expertise our clients depend on. Orbital is built with former practising real estate lawyers and 250+ years of combined legal expertise. We're purpose-built for the complexity of real estate: accelerating due diligence, drafting and negotiation, and deal coordination with legal-grade precision. We've just raised a $60m Series B, led by Brighton Park Capital, to accelerate our global expansion – $75m raised to date. We're trusted by 5,000+ real estate professionals, spanning UK Magic Circle and US Am Law 100 firms, to household names like M&S. Leading firms like BCLP, Orrick, Goodwin, Womble Bond Dickinson and Clifford Chance rely on Orbital to remove the busywork, freeing legal and real estate teams to focus on sharp judgment, standout client service, and closing deals faster. Working at Orbital means joining a bold, ambitious team, with the trust to take ownership and make a real impact from day one. We're looking to speak to frontend heavy, senior fullstack engineers, as we've launched the industry’s first legal AI Agent and have seen phenomenal growth in both revenue and usage in the last 18 months. Orbital Copilot is a new product which is delivering much needed automation in Real Estate transactions across the country and internationally, with a view to transforming the way property is transacted. We have a successful existing product which helps real estate professionals extract key information & create reports from legal documents. We’re evolving this product to add further value to our user base. With the recent release of many Large Language Models (LLMs), such as OpenAI’s GPT-5 and o3, we’ve continued to adopt bleeding edge frontier models. This is an opportunity for someone who is passionate about learning how to utilise this in production use cases. You’ll own the end-to-end design and development of key features of our web application along with the underlying services that support it. You’ll be joining a small, dynamic and fast-paced team with a focus on quality, usability and impact. You’ll be involved in every stage of the development lifecycle; from discovery and design, through implementation to deployment, maintenance and continuous improvement. You will be supported by a cross-functional, collaborative and growing team in delivering an impactful product, initially to lawyers and then to a wider set of B2B customers. You’ll get a chance to: • Take ownership of key technology decisions and lay the groundwork for the company’s ambitious growth plans, • Influence how we structure our frontend architecture to optimise for scale, speed of iteration and quality, • Shape product direction and influence beyond the technical implementation into how we go about solving real customer pain, • Collaborate with a cross functional team (an AI product manager, legal domain experts , AI engineers and software engineers) to ideate, experiment, prototype and ship your (and the teams ideas) into the hands of the customer, • Champion quality and reuse across the product and the codebase, • Collaborate with individuals across the business to ensure the features you develop have real business impact for customers and actually move key business metrics as we design and build a brand new product that doesn't yet exist in the market, • Participate in architecture and code reviews to continuously improve the quality, maintainability, security and scalability of our applications You should apply if you: • Have a strong background in frontend development - ideally React, TypeScript and/or Next.js, • Care about solving the technically challenging problems we’re tackling for our customers, • Value shipping early and often to get customer feedback and then iterating quickly to improve the product, • Have excellent verbal and written communication skills in English, • Have a proven track record of building user-facing products and have the ability to put yourself in the shoes of the customer, • Have proven experience delivering large, complex software engineering systems It would also be nice if you have: • Have experience with Backend development - ideally Python, • Experience working with LLM’s and OpenAI's API in particular, • Have worked as a Product Engineer or worn a product hat in the past, • Have worked in small, fast paced environments with a high degree of ownership and autonomy, • Proven experience of driving and using modern dev practices like BDD, TDD, 12 Factor, CI/CD, • Competitive starting salary £90,000-£110,000, • Matched pension contributions and equity options in a fast growing start-up, • Flexible working hours and location, • 25 days paid holiday (plus bank holidays), • Professional equipment and personal development budget along with training opportunities to learn and develop your skills, • Cycle-to-work scheme, • Free lunch on Wednesdays and a Deliveroo budget if you’re working late from the office, • An inclusive community enjoying all-company off-sites, lunches and socials Security is everyone’s responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. At Orbital, we’re committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don’t meet every single requirement, or if the right role isn’t listed yet, we’d still love to hear from you. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job-related knowledge, skills, experience, and business requirements. Everyone who works with Orbital goes through background screening before they start. It's part of how we keep Orbital secure, for the people who work here and for the client information we're trusted with. Find more English Speaking Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

London, United Kingdom SLSQ128R19 Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks. We are looking for a Enterprise Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Manufacturing industry. Your mission will be to grow one of our most strategic Manufacturing customers. Reporting to the Director, Sales, as a Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals, • You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform, • You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement, • You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions, • Experience developing strong relationships with large Enterprises global accounts, managing virtual teams, and leading complex sales campaigns ideally in major manufacturing accounts, • You will have experience working in Big Data/ Cloud, • Proof of exceeding sales quotas in high-growth Enterprise software companies, • You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams, • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI), • You will have experience co-developing business cases and gaining support from C-level Executives, • You will have experience of value-based selling Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

London, United Kingdom SLSQ427R686 Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. As an Strategic Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Banking sector. The impact you will have: • You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Banking segment., • You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals, • You will motivate a diverse team of big data and AI professionals to implement your business plan, • You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform, • You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement, • You will build exceptional value with all engagements to guide successful negotiations to close What we look for: • Experience in direct sales of enterprise software platforms to large enterprises, • Ownership of executive level relationships in your clients, • Proven track record of developing new business, • Extensive experience of working with large complex regulated organisations, • Knowledge of the Data & AI space with technology sales experience, • Longevity with previous employers, • Quota over-achievement and significant growth when selling complex software and services to Enterprise accounts, • Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams, • Methods for co-developing business cases and gaining support from C-level Executives, • Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message), • Experience developing partnerships with "champions" and client teams to support execution of your territory plan, • Experience developing a clear partner strategy and implement it to achieve success, • Understanding of consumption-based, land and expand sales models advantageous, • Understanding of how to identify important uses cases and buying centres to increase the impact of Databricks for clients About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Are you excited about building intelligent systems powered by cutting-edge AI technologies? Do you enjoy designing models that turn complex data into impactful solutions? Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster. As a Senior AI Engineer, you will build and ship AI-powered features as part of a cross-functional Innovation Squad, working inside a business function. You will deliver the set technical direction to production standard, working autonomously within a defined problem, building and testing tool use, retrieval pipelines, and agent workflows, integrating AI capabilities into enterprise systems, and contributing to evaluation, observability, and guardrails. You will hold a high bar on code quality, flag risks and blockers early, and work alongside host-function stakeholders to make sure what you build fits real workflows, not assumed ones. You'll also support handover and capability-building so the solution is owned and operable after the squad moves on. • Build prototypes and proofs of concept and ship agentic AI solutions to production standards within a defined technical approach., • Implement and test tool use, retrieval pipelines, and agent workflows., • Contribute to evaluation, observability, and guardrails for agentic systems., • Integrate AI capabilities into existing enterprise workflows and systems., • Maintain high code quality and documentation so patterns can be reused., • Flag technical risks and blockers early., • Interface with technical peers to finalise requirements and complete moderately complex bug fixes., • Build solutions for reuse, contributing to patterns, reference implementations and starter kits so work done in one function can be picked up by another., • Instrument solutions to capture outcome data against baselines., • Work alongside host-function stakeholders to ensure the build fits real workflows, not assumed ones., • Support handover and capability-building in the host function so the solution is owned and operable after the squad moves on., • Keep abreast of new technology developments., • Take on related responsibilities as the squad's needs evolve., • Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows)., • Education: BS in Engineering, Computer Science, or equivalent., • Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions., • Agentic AI / LLMs: Building RAG pipelines, tool-augmented agents, and agentic workflows; familiar with prompt engineering, context management, evaluation, and observability., • Agent fundamentals: Understands how agents use memory, tools, and retrieval to complete multi-step tasks., • Enterprise integration: Integrating AI into existing systems via APIs and data pipelines., • Cloud: AWS, Azure or GCP., • Delivery: CI/CD, modern SDLC, TDD and code review., • Data: Working with relational, columnar and vector stores, grounded in sound data-modelling principles., • Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs., • Communication: Clear written and verbal communication with technical peers and stakeholders., • Measurement: Instrumenting solutions to capture usage, productivity and quality metrics against established baselines. Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Comprehensive Pension Plan, • Generous vacation entitlement and option for sabbatical leave, • Maternity, Paternity, Adoption and Family Care leave, • Personal Choice budget, • Internal communities and networks, • Various employee discounts, • Recruitment introduction reward, • Employee Assistance Program (global) A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. #J-18808-Ljbffr

We are seeking a Senior Speech Scientist / Conversational AI Analyst to support the migration, testing, evaluation, and optimization of an enterprise-scale Intelligent Virtual Assistant (IVA) built on Google Conversational AI technologies. The ideal candidate will bring expertise in speech recognition, conversational AI, analytics, and customer experience, helping transform legacy IVR journeys into modern AI-powered interactions. This role will partner with Product, Engineering, Operations, Data, Risk, and Compliance teams to improve conversational performance, automation effectiveness, and customer outcomes within a regulated financial-services environment. • Analyze production audio, transcripts, speech-recognition outputs, confidence scores, and customer utterances to identify ASR, NLU, and conversational performance improvement opportunities., • Evaluate and optimize speech-recognition accuracy across accents, dialects, languages, audio conditions, channels, and customer segments, while improving metrics such as word error rate, semantic accuracy, intent recognition, entity extraction, task completion, and containment., • Develop and refine intents, entities, training phrases, utterance taxonomies, annotation standards, speech adaptation strategies, and routing logic to improve conversational experiences., • Design, execute, and maintain evaluation datasets, test suites, and validation frameworks covering standard use cases, edge cases, adversarial inputs, out-of-domain scenarios, and high-risk customer interactions., • Assess deterministic NLU, generative AI, hybrid conversational architectures, prompts, grounding, workflow orchestration, and AI behaviors, including hallucination, bias, safety, compliance, and policy adherence., • Perform root-cause analysis of conversational failures across speech recognition, NLU, prompts, business rules, integrations, orchestration, and backend systems, translating findings into actionable recommendations., • Support migration of legacy IVR, grammar-based speech systems, and conversational assets into Google Conversational AI platforms, establishing baselines, acceptance criteria, testing strategies, and post-launch monitoring., • Lead conversational testing, experimentation, A/B testing, regression testing, pilot validations, performance monitoring, dashboards, scorecards, and reporting to measure and communicate business outcomes., • Partner with Product, Engineering, Operations, Analytics, Risk, Compliance, Legal, and Privacy teams to deliver secure, compliant, customer-friendly conversational solutions while maintaining governance documentation, datasets, models, releases, and audit artifacts., • 5+ years of experience in Speech Recognition, Conversational AI, NLU, Speech Analytics, Contact Center Analytics, Computational Linguistics, or a related discipline., • Hands-on experience analyzing speech-recognition outputs, customer utterances, transcripts, intents, entities, and conversational failure patterns., • Strong understanding of ASR concepts, including word error rate, confidence scoring, endpointing, language modeling, acoustic variability, and speech adaptation techniques., • Experience evaluating NLU systems usg metrics such as precision, recall, F1 score, confusion matrices, intent accuracy, entity accuracy, and out-of-domain detection., • Experience with enterprise IVR, voicebot, chatbot, IVA, or contact-center technologies., • Experience creating annotation standards, labeled datasets, test utterances, scorecards, and regression testing frameworks., • Strong SQL skills and proficiency in Python, R, or another analytical scripting language., • Experience with data analytics, visualization, and reporting tools such as Power BI, Tableau, Looker, or equivalent platforms., • Ability to analyze large datasets, identify trends, and translate insights into actionable business and product recommendations., • Excellent communication, presentation, stakeholder-management, and cross-functional collaboration skills., • Experience working within Agile or SAFe delivery environments., • Master’s degree or PhD in Computational Linguistics, Speech Science, Artificial Intelligence, Machine Learning, or a related field., • Experience with Google Conversational AI technologies (CCAI, Dialogflow CX, Agent Assist, Speech-to-Text, Text-to-Speech) and migrating legacy IVR or NLU platforms to modern conversational AI solutions., • Knowledge of LLMs, prompt engineering, RAG, grounding, tool calling, generative AI evaluation, and conversational AI optimization practices., • Experience with contact center platforms such as Five9, Genesys, Nuance, Avaya, Amazon Connect, or similar technologies, preferably within financial services or other regulated industries., • Familiarity with compliance and accessibility requirements, multilingual conversational experiences, and technical concepts such as APIs, JSON, cloud logging, telemetry, CI/CD, and automated testing frameworks., • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth., • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program., • Work From Anywhere Culture: make the most of the flexibility that comes with remote work., • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities., • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries., • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events., • Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Senior Speech Scientist / Conversational AI Analyst • London, England, United Kingdom #J-18808-Ljbffr

Trending • Job Identification 19236, • Posting Date 09/14/2026, 03:00 PM, • Job Role AI Engineer-AI Solutions Architect, • Experience (In Years) 9-12, • Job Location London, United Kingdom EXL (NASDAQ: EXLS)is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com . Role Title: Data & AI Solution Architect – Generative AI Products & Delivery Location: Halifax, United Kingdom (Hybrid working 2 days a week in the office) Employment Type: Permanent We are seeking an experienced and hands-on Generative AI Solution Architect to lead the design and delivery of enterprise-scale AI solutions within the banking and financial services sector. The ideal candidate will have a proven track record of architecting and deploying production-grade GenAI solutions for complex client environments. You will combine deep technical expertise in LLMs, Agentic AI, and enterprise architecture with the ability to engage senior stakeholders and translate business challenges into scalable, secure, and compliant AI solutions. This role is ideally suited to professionals from leading technology consulting firms, global systems integrators, AI product companies, or specialist AI consultancies who have spent the last several years delivering GenAI initiatives from concept through to production deployment. Lead the end-to-end architecture, solution design, and delivery of Generative AI and Agentic AI solutions for banking clients. Translate business requirements and regulatory considerations into scalable, production-ready AI architectures. Design and implement advanced GenAI solutions, including: Retrieval-Augmented Generation (RAG) Multi-Agent Systems Knowledge Management Platforms Enterprise Workflow Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution assurance across the full software development lifecycle, including architecture reviews, testing, deployment, monitoring, and optimisation. Facilitate client workshops and present technical solutions to both executive and technical stakeholders. 7+ years of experience in technology, architecture, or engineering roles. Minimum 3 years of hands-on experience delivering Generative AI solutions in production environments. Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof-of-concept stage. Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands-on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes. Strong cloud architecture experience across Azure, AWS, or GCP. Experience in model deployment, monitoring, observability, governance, versioning, and operational support. Excellent stakeholder management skills with proven experience engaging clients and senior business leaders. Strong understanding of enterprise security, risk management, and responsible AI principles. Banking, Financial Services, or other highly regulated industry experience. Experience delivering AI solutions in areas such as risk, compliance, fraud, customer operations, lending, or regulatory reporting. Data architecture, data modernisation, data platforms, or lakehouse expertise. Experience supporting large-scale cloud migration or transformation programmes. Knowledge of AI governance, model risk management, and regulatory requirements within financial services. Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. Strong consulting and problem-solving mindset. Ability to balance strategic architecture with hands-on technical delivery. Excellent communication and presentation skills. Commercially aware and client-focused. Comfortable working in fast-paced, evolving technology environments. Passionate about innovation and the practical application of Generative AI within enterprise organisations. A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom. #J-18808-Ljbffr

Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this? Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third-party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing, writing off, or defaulting on bad debt that should have been caught earlier. Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust. Kernel is building that layer: the business registry for agents. We issue a permanent KERN ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them. We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. We're looking for a dedicated Account Manager to own and accelerate expansion across our existing customer base. This is a high-impact, commercial role for someone who thrives on closing mid-six-figure deals with enterprise teams. We've grown fast without dedicated expansion resources, but the opportunity is massive. Our team has identified millions of dollars in qualified pipeline, and we need a closer who can convert it. You'll own a book of business worth $2M+ ARR across high-growth mid-market and enterprise companies (~200-8,000 employees), managing complex, multi-stakeholder sales cycles from discovery through close. This role is for someone who has managed 6 and 7 figure clients selling into technical buyers, particularly RevOps, GTM Operations, or Sales teams. You'll be measured on Net Revenue Retention and your ability to execute consultative, value-based selling at scale. Hours: This is an exciting but intense job. Kernel is growing extremely fast and hours can often be long. Many of our customers are on the West Coast, and meetings can be held late in the evening. Working location: Minimum 4 days a week in the London office (Borough). Most people do 5. Own and execute complex expansion and renewal cycles across a $2M+ book of mid-market and enterprise accounts, managing deals from low-five through to six figures with technical, multi-stakeholder buying groups. Drive Net Revenue Retention by proactively identifying expansion opportunities, negotiating renewals, and preventing churn across your portfolio. You'll be commercially accountable for growing the revenue in your book. Execute consultative, value-based selling by deeply understanding each customer's RevOps challenges, articulating clear ROI, and positioning Kernel as mission-critical infrastructure for their CRM data strategy. Own the full customer relationship alongside Implementation/Solutions Engineers, proactively sourcing expansion opportunities through account mapping, strategic outreach, and deep engagement with your accounts to identify growth potential. Build and refine our Account Management playbook as a key member of our growing Account Management team, helping establish repeatable processes for expansion motions, renewal cadences, and cross-functional collaboration that will scale with the team as we grow Partner cross-functionally with Product, Engineering, and GTM leadership to shape our expansion strategy, feed critical customer insights into the product roadmap, and help define our enterprise selling motion. Navigate complex contracts, security reviews, and legal discussions independently, moving deals forward without constant support from leadership or legal. Speaking the language of RevOps professionals, discussing CRM hierarchies, data hygiene, territory planning, and the technical challenges of managing company data at scale. Becoming the best person in the company at explaining and pitching the product, translating technical capabilities into clear business value for VP-level stakeholders. Running data-driven account reviews and strategic planning sessions to prioritize where to invest your time for maximum revenue impact. Proven track record of expansion and renewal excellence: 4-7 years of B2B SaaS sales or account management experience, with at least 2 years consistently closing $100k+ deals per year and managing a book of business worth $2M+ ARR. Demonstrable commercial performance: You have a track record of consistently overachieving on Net Revenue Retention or expansion targets (130%+ NRR is the bar), with specific examples of closing significant expansions from existing customers. You're commercially driven and performance-oriented, motivated by hitting and exceeding revenue targets, and you understand the levers that drive expansion and renewal. Enterprise sales expertise: Experience navigating complex, multi-stakeholder sales processes with technical buyers. You know how to manage 6-12 month sales cycles, build consensus across buying committees, and close six-figure deals. Consultative selling and communication skills: You can execute value-based, solutions-oriented selling, asking great questions to uncover true business pain and positioning product capabilities as strategic solutions rather than features. You have excellent verbal and written communication skills—you articulate complex ideas crisply, write compelling proposals and business cases, and present confidently to senior stakeholders. Technical fluency: Comfortable discussing technical concepts with RevOps and data teams. You can translate complex requirements into product demonstrations and articulate technical value to non-technical executives. Entrepreneurial mindset: You thrive in ambiguity and are energized by building processes from scratch. You're a generalist who can wear multiple hats, take ownership beyond your job description, and move fast without perfect clarity. Operational independence: You can navigate contracts, negotiate terms, handle security questionnaires, and move deals through legal and procurement without needing constant support from leadership. Background in data infrastructure, CRM platforms, or API-first products. Startup or scale-up experience (Series A-C), where you've seen a commercial function built from the ground up. Familiarity with Salesforce. Struggle with technical stakeholders: Our customers are RevOps professionals who speak CRM, data models, and API integrations. If you're not comfortable learning and discussing technical concepts, you won't be able to build credibility. Expect consistent 9-5 hours: With West Coast customers and the intensity of a fast-growing startup, this role requires flexibility and often long hours. If work-life balance is your top priority, this isn't the right fit. Haven’t consistently hit commercial targets: If you don't have a track record of meeting or exceeding expansion and renewal quotas, or if you've never managed a significant book of business, you'll struggle with the commercial accountability this role requires. Prefer individual contributor work without cross-functional collaboration: This role requires constant coordination with Customer Success, Product, and Engineering. If you prefer to work in isolation, this won't be a good fit. We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. Salary: £100k-£140k OTE + equity 24 days holiday per year + bank holidays £450 Monthly Office Dinner Allowance 2 weeks work-from-anywhere Generous parental leave policy Pension plan Top-spec equipment and central London office Team events and dinners Work directly with the founders to scale the systems that power enterprise AI High-autonomy, high-trust environment with a small team shipping at pace Head of Sales, Dave Bentham Account Manager, Lewis Goode Stage 1 – Introductory call with hiring manager, Dave Stage 2 – Case Study with Dave & Team Final Stage – Values interview with the Founders If there is mutual fit, we move to references and offer #J-18808-Ljbffr

Skip to main content Overview Culture Benefits Diversity Engineering Research Students & new grads Back to search results London, United Kingdom ReqID: FEQ427R149 Location: London Skills: Networking, Security, Platform, DevOps, Databricks, Cloud - AWS, GCP, Azure, Infrastructure - First preference would be GCP experience Recruiter: Dina Hussain As an Infrastructure & Platform Specialist Solutions Engineer, you will serve as a trusted technical advisor, helping enterprise customers with the architecture, administration, and security of their Databricks deployments on their cloud of choice (AWS, Azure, or GCP). You combine solid technical expertise with a growing ability to connect architecture decisions to customer outcomes. • Guide enterprise customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design to production deployment, • Architect secure, scalable enterprise deployments that satisfy complex cloud networking (virtual networks, private connectivity), identity (cloud IAM and enterprise identity providers), and security compliance standards, • Act as a technical specialist in core areas such as cloud infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management, • Support technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions, • Collaborate with cross-functional resources (DSAs, SAs, FDE, Partners) to contribute to solutions for complex customer needs, • Operate with growing autonomy on well-scoped engagements, with guidance from senior architects on the most complex designs, • Influence product direction by providing structured feedback on customer requirements and competitive gaps, • 4+ years in solutions architecture, technical pre-sales, or a Network architecture hands‑on technical role, • Strong expertise across the following areas:, • Security & Identity: Cloud security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols. This includes cloud-native IAM (AWS IAM, Microsoft Entra ID / Azure AD, Google Cloud IAM), enterprise identity services (AWS IAM Identity Center, Entra ID, Google Cloud Identity), and federation standards (SCIM, OAuth, SAML, OIDC), • Networking & Deployments: Enterprise cloud networking (VPC/VNet design and peering, dedicated interconnects such as AWS Direct Connect / Azure ExpressRoute / Google Cloud Interconnect, and private connectivity such as AWS PrivateLink / Azure Private Link / GCP Private Service Connect), network routing, performance optimisation, and large‑scale deployment management, • Platform Administration: High availability, disaster recovery, cluster orchestration, observability and audit (e.g. Amazon CloudWatch / CloudTrail, Azure Monitor, Google Cloud Operations Suite), and cloud cost management, • Infrastructure Automation (InfraOps): Hands‑on automation using IaC tools (e.g. Terraform, plus cloud-native tooling such as AWS CloudFormation / CDK, Azure Resource Manager / Bicep, or Google Cloud Deployment Manager) to build, maintain, and scale complex cloud environments, • Strong coding proficiency in Python and PySpark/Spark: you must demonstrate live coding, debugging, and solution‑building skills, • Solid grounding in distributed data systems architecture: scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms, • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real‑time/streaming, ML/AI, data governance, migrations), • Ability to contribute to architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade‑off analysis, • Track record of driving platform adoption and consumption growth within accounts, • Contribute to Field Engineering thought leadership through customer‑facing content, workshops, and community engagement, • Excellent communication skills: able to translate complex architectures into business value for both technical and executive audiences, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience), • Willingness to travel up to 30% as needed, • Databricks certifications (Data Engineer, ML, Platform), • Cloud provider certifications at professional level (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud Architect), • Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery), understanding the landscape you'll position against, • Background in a data/AI company or cloud provider About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

AWS Forward Deployed Engineering (FDE) embeds AI engineers directly inside strategic enterprise customers to design, build, and deploy production-grade AI systems. We are looking for a Security Engineer to join the FDE security team and help secure production AI systems deployed in customer environments. You will conduct security reviews, write security tooling, perform threat modeling, and implement controls that protect AI systems built by FDE engineers. You work alongside FDE delivery pods in customer environments, getting hands‑on with production code, cloud infrastructure, and AI/ML pipelines. You learn fast, ship fast, and build security into the system rather than bolting it on after the fact. This is a hands‑on security engineering role where you spend most of your time writing code, reviewing architectures, and testing systems. You work with senior security engineers who will mentor you, but you own real security deliverables from your first engagement. If you want to learn AI security by doing it, in production, at enterprise scale, this is the role. • Conduct security design reviews, code reviews, and architecture assessments for production AI systems (agentic workflows, RAG pipelines, orchestration layers, model integrations) under guidance from senior security engineers, • Perform threat modeling and penetration testing for AI/ML applications deployed in customer environments; identify vulnerabilities and work with FDE engineers to implement fixes before production release, • Build and maintain security automation: scanning tools, CI/CD security gates, guardrail testing scripts, secrets detection, and dependency vulnerability checks for forward‑deployed AI systems, • Implement security controls for AI‑specific threats: prompt injection prevention, output filtering, data isolation, model API endpoint hardening, and guardrail configuration, • Support security incident response for FDE‑delivered production AI systems; assist with triage, root cause analysis, and remediation under senior engineer guidance, • Document security findings, patterns, and remediation guidance as reusable playbooks and runbooks that benefit future FDE engagements, • Contribute to the FDE security accelerator library: reusable modules, templates, and reference configurations that help FDE engineers build secure AI systems faster, • Requires up to 25% travel You start the morning running your automated security scan against a new Bedrock-powered application an FDE pod shipped overnight, triaging the findings and filing issues for two real vulnerabilities. Mid‑morning you pair with an FDE engineer to fix an IAM policy that's overly permissive for their multi‑agent orchestration system. After lunch you're writing a Python script that automates guardrail bypass testing for the team's standard deployment pattern. You close out the day joining a threat modeling session led by a senior security engineer, where you learn how to assess data flow risks in a customer's RAG pipeline. Every week you're working on a different AI architecture, building skills you can't get anywhere else. AWS Forward Deployed Engineering embeds AI engineers directly inside strategic enterprise customers to build production AI systems. AWS invested $1B in this initiative. We move at the speed of the customer: demonstrating ROI in weeks, not quarters. We are customer‑obsessed. We lead customers toward outcomes, build together, and leave behind scalable patterns. Security is our enabling function: without it, nothing goes to production. Our culture is people‑first, anti‑burnout, bold, and engineering‑excellence‑driven. Amazon 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. 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. We 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 in the cloud. AWS 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. We'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. • Bachelor's degree in computer science or equivalent, • 2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience, • 2+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non‑internship) experience, • 2+ years of (non‑internship) scripting, programming, and security code review in common programming languages experience, • 2+ years of work in identifying security issues and risks, and developing mitigation plans experience, • 2+ years hands on building AI/agentic systems, • Experience with security in service‑oriented architectures/microservices and web services, • Experience with compliance & security standards including PCI DSS, ISO 27001, HIPAA, and NIST, • Experience with AWS products and services, • Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go Amazon 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 (en/privacy_page) 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 content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. #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. Leadership and Strategy 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. M365 Service Design and Architecture 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. M365 Service Delivery Management 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. Technical Oversight 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. Vendor and Commercial Management 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. Stakeholder Engagement 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. Risk Management 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. Performance Monitoring 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 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. Chaucer are a leading specialty (re)insurance group working with brokers, coverholders and clients to protect and support business activities around the world. Our services are accessed both through Lloyd’s of London and the company markets. We are defined by an enterprising, bespoke approach to (re)insurance, enabled by the individual character, experience and imagination of our expert teams. Chaucer is a member of the China Re Group and backed by their financial and operational resources. China Re is one of the world’s largest reinsurance companies whose outstanding and comprehensive strength is rated A (excellent) by AM Best and A (strong) by S&P Global Rating. Chaucergroup.com #J-18808-Ljbffr

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. As a Staff Product Engineer, you will work directly inside our most strategic enterprise customers. You will build the software that makes their AI agents work in production, and be measured by the difference it makes for the customer. Our agents are built by business users in Parloa’s platform, AMP. AMP already comes with a broad library of tools and integrations. Your job is the part AMP does not cover yet for a given customer: the last connection into their systems, or a capability the product does not have. Our customers are large enterprises in financial services, telecom, insurance, travel and retail. For them, a working prototype is where an engagement starts, not where it ends. The work comes in two forms. Some engagements run for years. You stay with the account, deepen its integrations and help it grow into new use cases. Others are short experiments. You test a new idea with a real customer and decide quickly whether it is worth building. At Staff level, you take on the hardest cases of both: accounts where a pilot-grade solution would fail in production, and capabilities nobody at Parloa has built before. Staff means harder problems and more ambiguity, not less hands-on work. On many accounts, you work alongside a Deployment Strategist. Think of the two of you as the account’s leadership team. The Deployment Strategist acts as its CPO and defines what success looks like. You act as its CTO and own the architecture and the build. On accounts without a Deployment Strategist, you own the engineering yourself. • Lead the hardest engagements. Run complex programmes with several workstreams. Make the architecture decisions that span Parloa’s platform and several parts of the customer’s organization., • Build what AMP does not cover yet. Systems of record, telephony and contact-center integrations, state management, data readiness, multi-agent orchestration and retrieval. When the answer is unclear, build a prototype quickly and decide whether it is worth pursuing before Parloa invests a full quarter in it., • Own production quality and security. Evals, production readiness, observability and incident playbooks for enterprise-scale traffic. Meet the data handling standards a regulated customer expects, including PII, access control and audit trails. Debug live issues, whether they are technical or caused by model behaviour., • Grow the account, and share what belongs in the product. Drive the second use case, the second business unit, the renewal. Set the delivery standard for other engineers on complex accounts. When something you build would help every customer, flag it. That is how Parloa decides what goes into the core product., • Mentor other Product Engineers, and take part in interviewing and hiring., • Use AI well, and set the standard for it. Decide how AI-assisted work is validated before it reaches a customer’s production traffic., • Represent Parloa with senior technical stakeholders. Work directly with the customer’s principal engineers, architects and security leaders. Be the engineer commercial teams bring in when a prospect asks how the solution would work for them., • Not running the Parloa platform itself. That is a separate engineering role. The platform is your foundation, and you build what a specific customer needs on top of it., • Not agent configuration. Business users design and configure agents in AMP. You build the integrations and capabilities those agents need., • Not a people-management role. You are an individual contributor and write and review code every week. Go, TypeScript, Node.js, Python, FastAPI, frontier LLMs, MCP, Azure, Kubernetes, Docker, Terraform, MongoDB, Redis, Kafka/NATS You will not use all of these, and most engagements add something new. • 8+ years of professional software development, delivering production systems end to end. Fluent in TypeScript or Python, or able to get there quickly., • 5+ years leading the design and architecture of large-scale production systems in customer-facing or enterprise environments, with a focus on reliability, scale and failure modes., • Experience leading agentic, spec-driven development in production. You know when a coding agent’s output is wrong and what checks it needs before it ships., • A track record in long-term accounts or fast experiments. You have owned a strategic enterprise relationship over several years, through an expansion, a renewal or a leadership change. Or you have tested new ideas at the frontier and decided quickly whether they were worth building., • Experience as a mentor or tech lead, helping engineers become independent., • Comfortable with ambiguity and with customers. You work well in complex organizations, build trust quickly with new customer teams, spot risks early and keep your judgment when the stakes are high., • Willingness to travel up to 25% to customer sites, depending on the engagement., • Strong spoken and written communication skills in English., • Experience building or deploying an LLM-powered system used by real users in production, • Hands-on experience with eval frameworks, agent tooling, RAG, prompt engineering or multi-agent orchestration (few candidates will have all of these), • A founder or founding-engineer background, • Forward-deployed, solutions engineering, product engineering or strategic-partner experience at an enterprise software or AI company, • Voice or conversational AI, or contact center, telephony or CCaaS integration, • Experience in regulated industries such as banking, insurance or telecom At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you: • Earn Trust – act with transparency and reliability., • Obsess Over Customers – always start with the customer problem., • Think Big – set bold goals and pursue them fearlessly., • Have Integrity – do the right thing, especially when it’s hard., • Disagree & Commit – debate with candor, align fast, and deliver., • Own It – take full responsibility for outcomes, not just tasks., • Dive Deep – master the details without losing sight of the big picture., • Bias for Action – move fast, decide quickly, iterate fearlessly., • Deliver Value – measure success by customer and business impact., • Insist on the Highest Standards – raise the bar continuously., • Go the Extra Mile – make the impossible possible., • Hire & Elevate the Best – raise the bar with every hire. Recruiter Call → Technical Peer Interview → 360° Tech Interview Loop → Bar Raiser We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. • We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics. #J-18808-Ljbffr

About 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.About the Role Production experience required. Builder mindset non-negotiable. Salesforce is hiring Technical Builders — engineers with a few years of shipping under their belt and an appetite for the agentic frontier. You'll embed in a builder pod, a cross-functional team that designs, builds, and deploys agentic solutions for Fortune 500 customers. From day one, your code runs in customer environments where the stakes are real. This is not configuration work. This is product engineering with a customer on the other side of the keyboard.The Builder Experience* + AI-Powered Development: Ship real customer solutions, augmented with best-in-class suite of AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow. + Pod-Based Delivery: You'll work alongside Senior Technical Builders and a Strategic Builder. Real ownership of components, structured mentorship from people who've shipped agentic systems at scale, and a clear path to leading complex deliveries yourself. + Frontier Access: Agentforce is evolving in real time. You'll work on capabilities most engineers won't touch for months — and your field insight will go directly to the product team building them. What You'll Actually Be Building* + Develop AI agents and experiences that take real actions for real companies. Agentforce is in production at some of the largest organizations on the planet. The work matters because the customers depend on it. + Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging the Agentforce platform and current LLM techniques. + Own technical components end-to-end: from architecture choice to deployed, validated, observable in production. + Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output. + Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. + Surface platform gaps, edge cases, and field insights to senior Builders and the Agentforce product team. Your real-world experience is the product feedback loop. + Partner with the Strategic Builder in your pod to translate customer business challenges into agentic solutions that actually ship. You're Our Builder If...* + You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through. + You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands. + You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. + You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them. + You can hold your own in a room with sales teams and customer architects. + You ship quality code and evaluate AI outputs with engineering rigor. + You thrive in the group chat that's building something, not just talking about it. + You bring sharp problem-solving instincts and a get-things-done mentality. + You're excited to travel ~25% of the time, working directly alongside customers. Nice-to-Haves + Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) + Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns + Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery) + Prior customer-facing technical delivery (consulting, FDE, professional services)\LI-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 Open, we exist because we believe that insurance does not have to be seen as complicated or costly. We're an AI-powered platform transforming insurance globally — making it more transparent, cost-effective, and customer friendly. Since launching in 2016, we've grown into a certified B Corporation, operating across ANZ and the UK, and building modern infrastructure that brings wonder into insurance. Engineering is how we earn the trust of our partners and customers, and where we turn Open's strategy into shipped product. The UK is where our next chapter happens, and this role is one of the first engineering hires into it: you'll be building the integrations our UK partners run on, and helping keep them live. You'll work on Open Embedded, our flagship product. It lets brands offer car, home, travel, landlord and purchase-protection insurance inside their own customer journeys, so their customers can buy cover in the same place they buy the core product — configured no-code by our partners, and run end to end by us from quote through to claim. Core feature development and major platform uplifts are owned by our engineering team in Australia. The UK team's remit is the UK end: working with partners on their requirements and integrations, configuring and extending the platform to meet them, and keeping it running in the region. You'll be hands‑on in the same codebase, shipping changes yourself. Reporting to the Senior Full-Stack Engineer, you'll work alongside our partner‑facing colleagues, Product, TechOps and Solution Architecture, and day to day with the engineering team in Australia. You're joining a small UK team early, which means more scope than a role like this usually carries — and more support to grow into it. This is a hands‑on role, and the majority of your week is building and debugging: writing production code across the stack, working through integration problems, and helping keep what runs in the UK healthy. You'll take work from ambiguous to shipped with a senior engineer close by, and we'll expect that distance to grow shorter over time. You’ll be measured on driving up three things: • Build and ship UK partner integrations — taking pieces of a partner journey from requirement to live, with support on the shape of the whole., • Get close to what a partner actually needs: what our platform already does, what can be configured, and what genuinely needs building., • Turn that into working software — configuration and extension where our platform allows it, and a clear write‑up of the gap where it doesn't., • Join the technical conversations with a partner's engineers, and own the follow‑ups that come out of them., • Give your team an early, honest read on how your work is tracking — no surprise slips., • Keep cutting the time from partner signature to live journey, using the best of modern software delivery and agentic development., • Work paired with agents across your own workflow — design, code, review, test, ops and integration debugging — and keep raising your own bar for how fast you can ship well., • Use agents to take the repetitive weight out of partner support: triage, log analysis, first‑line diagnosis and the reporting that goes with it., • Build with the evaluations, guardrails and human‑in‑the‑loop patterns that let us deploy GenAI safely in a regulated industry — anywhere a decision affects someone's cover or their claim., • Form your own view on which problems an agent should own end to end versus assist on, and back it with evidence from your own work., • Bring what you find back to the team. In a small group, one person's better workflow becomes everyone's within a week., • Help keep the platform healthy in region: availability, incident response and engineering health, alongside the Senior Full‑Stack Engineer., • Join the on‑call rotation once you're up to speed. Debug production across a partner boundary you don't control, then write the honest post‑incident note., • Write code others can change without fear: tested where it counts, observable in production, and documented where the reasoning isn't obvious., • Make sound design calls within your remit, and know which ones to bring to your Senior Full‑Stack Engineer, the AU team or our solution architects rather than make alone., • Work with TechOps, Solution Architecture and InfoSec on reliability, security and governance — including the UK and EU data‑residency considerations that shape what we build and where it runs., • Feed what you learn from partners and incidents back to the team, so the platform gets better rather than just patched around. This is a broad, hands‑on engineering role in a lean, high‑trust environment. It rewards people who are energised by ownership, breadth and agentic leverage, not those looking for a defined lane or a large organisation to sit inside. Specifically, it's probably not the right fit if: • You want a fully specified ticket queue. Partner requirements arrive ambiguous and commercially loaded. You'll have help turning them into something buildable — but you'll be part of doing it, not handed the result., • You need greenfield to do your best work. Most of what you build extends a substantial existing platform. The craft here is in reading it well and changing it safely., • You want to stay in one layer of the stack. In a lean team you'll be in the partner‑facing journey, the services behind it, the data that proves it works, and occasionally the infrastructure it runs on., • You see AI as autocomplete. This role is for someone already restructuring how they work around agents, not someone who plans to “start exploring” GenAI., • You want to be shielded from partners. You won't own the commercial relationship, but you will be in technical conversations with external engineers, and expected to hold your own., • You want a large team to sit inside. For a while, UK engineering is a handful of people. What you don't do doesn't get done by someone else., • 3+ years building and operating production software — shipped, maintained and run by real users, not just delivered., • Full‑stack range — strong on one side and genuinely competent on the other. You can build the customer journey and the service behind it., • Comfortable in someone'else's codebase — you can read a large existing system, find the right seam, and extend it safely., • Integration experience — you've worked against an API you don't control and debugged what happens when it misbehaves. You think about contracts, retries and idempotency., • Solid in Python and working knowledge of modern AWS — you've had services of your own in production and understand what it takes to keep them up., • Modern frontend — TypeScript and a component framework, with real care for what the customer at the other end actually experiences., • Genuinely AI‑native — you use AI agents in your own work every day, and you can say specifically what changed as a result., • Ownership of what you ship — something you built, released and then supported. You can talk credibly about all three parts., • Modern delivery practices — you've worked with strong CI/CD and understand why small, frequent, reversible changes win., • Clear communicator — the pull request description, the design note and the incident write‑up get written without being chased, and non‑technical colleagues come away knowing what to do., • Judgment about scope — you ship the small useful thing now and flag the bigger problem rather than quietly starting it., • Bias for action — you spot issues early, fix root causes and keep pushing for simpler, faster, safer ways of working., • Exposure to the insurance, fintech, or regulated financial services sector., • Experience in a partner‑facing, solutions or integration engineering role sitting alongside a core product team., • Experience building or consuming configurable or no‑code product platforms (embedded insurance, white‑label sales flows, partner‑driven experiences)., • Having shipped something agentic to production, or worked alongside engineers building AI or ML systems., • Comfort with cloud‑native data warehousing (Snowflake or comparable) and the analytics or AI data layer., • Experience working in a distributed team across distant time zones, where the core engineering team is in another region., • Familiarity with AI safety practices — evaluations, red‑team ing, guardrails, human‑in‑the‑loop., • Degree in Computer Science, Software Engineering or a related field — or equivalent practical experience. This role is based in London, United Kingdom. We work in a hybrid model, with three days a week in the office. We've found this rhythm genuinely supports collaboration and the kind of fast, high‑trust culture we've built. You'll have flexibility on the other two days to work in a way that suits you. You'll work closely with colleagues in Sydney, including the engineering team that owns the core platform. In practice that means writing decisions down properly and an early call once or twice a week — not a permanently shifted working day. You’ll need the right to work in the United Kingdom. Open is on a mission to make it easy for everyone to get the most from their insurance. Insurance is one of the world's least digitally mature industries — for years it's remained confusing, paper‑based and heavily intermediated. We launched in 2016 to build a global, AI‑powered platform that digitises the entire insurance process, making it transparent, less costly and more reliable. It's an exciting time to join Open and be part of a tech scale‑up. We provide our team with: • Highly competitive compensation, including share options — we believe in paying people what they're worth and having everyone in our company share in our success., • High levels of autonomy and trust so you can do your best work., • Growth opportunities internally — as you grow, your role can too., • Flexible working — we are about impact, not time at your desk., • We encourage freedom and responsibility, including the ability to work from anywhere., • Paid company parental leave, supporting all parents as they balance career and family., • Personal development allowance — flexible annual benefit to support learning, wellbeing and personal growth. Insurance is one of the world's least digitally mature industries: confusing, paper‑based and heavily intermediated. We launched in Australia in 2016 to digitise the entire process, opened our London office in 2022 and our Manchester office this year. We're a Certified B Corporation with a team across the UK, Australia and New Zealand. We do this through three products. Open Embedded lets businesses offer insurance directly inside their own apps and websites. Open Agentic uses AI safely and responsibly to guide customers through buying a policy, answering questions in plain English. Open Intel spots the moments when someone is most likely to need cover - like buying a car or moving house - and helps us reach them at the right time. Diverse perspectives and lived experiences make us better at what we do. Let us know if you need any adjustments through the process and we'll make it work. Open is for builders - people who are intellectually curious, courageous and reject the idea that "it can't be done". #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 Software Engineering Job Details About Salesforce Salesforce 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. The Value Activation Consultant / Senior Consultant sits at the intersection of customer engagement and platform innovation, based in London. This role owns the roadmap and feature lifecycle for scalable Agentforce process "Blueprints," partnering with customer-facing teams, AI agents, engineering, and design to turn manual, fragmented workflows into automated solutions that drive measurable customer value. • Own the roadmap and feature lifecycle for process blueprints and automation solutions, identifying operational inefficiencies and automation opportunities across customer and internal workflows., • Partner with customer-facing team leaders to map requirements, then build and iterate solution blueprints and workflow automations using current platform features and AI prompting tools., • Translate strategic goals and customer requirements into clear Product Requirement Documents (PRDs), user stories, and technical acceptance criteria, managing the backlog and sprint priorities using Agile methodologies., • Leverage AI tools throughout the blueprint lifecycle — from synthesizing customer feedback at scale to rapid prototyping and solution validation with engineering and design — while conducting user interviews and acting as the voice of the customer., • You have 3-8+ years of experience in Product Management, Process Automation, Business Analysis, or Solutions Consulting, including building external-facing products in enterprise B2B SaaS environments., • You have hands-on technical experience with automation tools, workflow builders, AI prompting, or low/no-code platforms, with a strong understanding of business workflow mapping and process improvement methodologies., • You communicate clearly, in writing and in person, to both technical and non-technical audiences, and have proven success collaborating with virtual, global, cross-functional teams including engineering, design, and customer success., • Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)., • Experience in SaaS, AI automation, supply chain operations, contact center operations, or customer experience technology., • Experience with prompt design or agent-based automation solutions, and familiarity with the Salesforce platform ecosystem (e.g., APIs, platform services)., • A Lean, Six Sigma, or related process improvement certification, or a related technical degree., • Experience within the Supply Chain or Financial Services sector. 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. 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. We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place. #J-18808-Ljbffr

AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor's $60B exit to SpaceX, and Cognition's $48B valuation. AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor's $60B exit to SpaceX, and Cognition's $48B valuation. The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours. AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won't break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets. The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and Peloton to name a few. Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We've raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital. Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us. • Educate with Enthusiasm: Elevate awareness about Application Security and Software Supply Chain Security. It's about making security engaging and accessible to developers everywhere., • Master Our Tech: Deep dive into our supply chain security product suite and emerge as the go-to expert and evangelist., • Deliver Tailored Demos: Showcase our solutions in a way that speaks directly to the needs and challenges of our customers. Be the architect of captivating, solution-oriented presentations., • Shape Customer Outcomes: Collaborate with our engineering and product teams to design solutions that genuinely address customer challenges. Your insights from the field will directly influence our product development, ensuring we always meet our customers' evolving needs., • Facilitate Customer Success: Guide customers through onboarding, ensuring a smooth transition and adoption of the Endor Labs solution. Your goal is to empower customers to leverage our technology fully and ensure they achieve their security and development objectives., • Rich Experience: You have experience in pre-sales or a similar customer-facing, technical role. You're no stranger to technical deep dives, product demonstrations, and leading evaluations., • Strong Technical Foundation: A solid understanding of modern software development practices, including backend or full-stack development experience, CI/CD pipelines, Git-based development workflows, and DevOps tooling. You're comfortable engaging deeply with engineering teams and understanding how modern applications are built and deployed., • Application Security Awareness: Familiarity with application security concepts, software supply chain security, and/or identity & access management principles. You understand the importance of securing developer workflows and modern cloud-native environments., • Tech Savvy: A robust understanding of the Developer, DevOps, Application Security, and open-source ecosystems. Hopefully, you can meet developers where they are and flex some programming skills., • Customer & Sales Skills: You've successfully engaged with technical customers at an Enterprise level and know how to articulate complex solutions and operate in a sales cycle., • Curious and Eager to Learn: Always on the lookout for new technologies and understanding the intricacies of how things work., • Collaborative Spirit: You thrive in a team setting and value diversity and inclusion in every interaction., • Action-oriented: You prefer actively solving customer problems and asking for help as needed., • Go to extraordinary lengths to distinguish ourselves through world-class work., • Prioritize quality over speed, and speed over scope., • Desire to work with deeply kind, mission-driven people., • Strive to make the complex simple., • Use first principles to debate ideas, test assumptions, and make decisions., • Seek the truth by putting data above opinions., • Assume good intent and give tactical feedback to help each other get better., • Hold no ego—when our customers win, we all win., • Competitive salary and comprehensive benefits package including Health, Dental, Vision and Mental Health plans., • 401(k) plan to support your longterm financial goals., • Flexible PTO to maintain a healthy work-life balance (we want you here for the long-haul!), • Opportunities for co-working and team meetups to foster collaboration., • A dog-friendly office environment for those who love to bring their fur babies along. We celebrate diversity and are committed to creating an inclusive environment for all employees. Even if you don't fit every requirement above, we believe in the power of diverse perspectives and experiences, so we encourage all talented individuals to apply—there's no one-size-fits-all here. For candidates who receive an offer for this position, the compensation range is expected to be between $190,000 - $250,000. This may include additional incentives such as commission targets, restricted stock units, and/or bonuses, depending on the role. #J-18808-Ljbffr

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Data & AI team combines software engineering, AI and industry expertise to design and deliver enterprise-grade solutions. We are expanding our Anthropic talent pool to build Claude-powered applications, agentic solutions and AI-enabled software delivery capabilities. You’ll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our team, you’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Your background will involve contributing across projects including software engineering, technology architecture solution implementation, product selection and application strategy definition, or the introduction of technology to drive business improvement into an operational organisation. Our team has the remit to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services. • How to build production applications and agents using Claude and broader AI/ML technologies., • How to integrate Claude securely with enterprise data, APIs, repositories and delivery toolchains., • How to develop and operate MCP-enabled solutions, evaluation suites and responsible AI controls., • How to convert repeatable delivery patterns into reusable assets and accelerators for client teams., • How to help clients to use AI/ML technologies to solve business challenges, • How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges, • The latest technology solutions from industry and academia and how to apply them to solve real world customer problems As a Full Stack LLM Development Associate Manager - Anthropic / Claude, you will: • Design, build, test and operate Claude-powered web applications, APIs, copilots and agentic workflows from inception through production., • Develop with Anthropic SDKs and APIs, applying tool use, structured outputs, streaming, prompt caching, context management and robust error handling., • Build MCP clients and servers that connect agents securely to repositories, enterprise data sources, development tools and business systems., • Implement RAG and context-engineering solutions using structured and unstructured data, embeddings, vector search and knowledge stores., • Use Claude Code and AI-assisted engineering practices across requirements, coding, testing, documentation, modernisation and defect resolution while maintaining engineering controls., • Create automated evaluation, regression, safety and quality tests for prompts, agents and end-to-end AI workflows., • Implement authentication, authorisation, secrets management, audit logging, observability, token and cost monitoring, and secure deployment pipelines., • Lead developers, contribute to solution design and code quality, and create reusable components, templates and engineering standards., • Design and build use‑case and platform technology solutions to solve key business challenges using reference and cutting‑edge technologies and engineering patterns, • Work in multi-disciplinary teams to build complex solutions working from inception through to production and operations, • Contribute to the technology strategy and solution design, managing and supporting other developers, • Contribute to the Accenture Data & AI community, sharing insights and experience of using emerging technologies on client deliveries and through research We are looking for experience in the following skills and experience: • Hands‑on development with Anthropic Claude APIs and SDKs, or strong production experience with comparable foundation‑model APIs and the ability to transfer those skills to Claude., • Python and/or TypeScript/JavaScript, modern API frameworks, front‑end frameworks, automated testing and software design patterns., • Claude Code or comparable AI coding assistants integrated with enterprise source control and CI/CD workflows., • MCP client/server development or comparable secure tool‑integration patterns for agentic applications., • Agent orchestration, tool calling, RAG, context engineering, vector databases, event‑driven integration and human approval workflows., • Deployment through Anthropic APIs and/or Amazon Bedrock or Google Cloud Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience., • DevSecOps, containers, infrastructure as code, cloud security, monitoring, scaling, resilience and operational support., • LLM evaluation, prompt and agent testing, tracing, observability, responsible AI controls and token/cost optimisation., • Experience leading engineering delivery, reviewing code, mentoring developers and converting prototypes into maintainable production services., • AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, • Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models, • Building and using cloud‑based solutions (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms, • SW Engineering and DevSecOps, • Production delivery of Claude‑based applications, agents or Claude Code enablement., • Published MCP servers, reusable agent components, evaluation harnesses or open‑source contributions., • Experience building developer platforms or AI‑enabled SDLC accelerators., • Experience delivering AI solutions in regulated environments., • Relevant cloud, software engineering, machine learning, security or DevOps certifications., • Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty)., • Building PoCs to aid learning, • Experience of delivering production AI/ML services for scaled end user consumption At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first‑class services we are known for. 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

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: • SonarQube: The world's leading AI code review and verification platform., • SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair., • SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: • Committed to our customers and community., • Obsessed with quality., • Deliberate in our decisions., • Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Sonar is looking for a CVP of Design to own the end-to-end design vision and execution across our product portfolio. Reporting to the CPO, this is Sonar's most senior design leadership role, responsible for setting design strategy, scaling a high-performing global design organization, and ensuring our products deliver an exceptional, cohesive experience for developers and enterprise customers alike. You will partner closely with Product, Engineering, and Executive Leadership to translate customer needs and market trends into design decisions that drive measurable business impact. • Own the end-to-end product design vision, including visual design, interaction design, workflows, and overall platform evolution across Sonar's product line., • Define and drive a design strategy that ties directly to measurable business outcomes, working with Product and Engineering leadership to prioritize investments. Track and report on design's impact on key business and product metrics., • Build, scale, and lead a global design organization, including hiring, mentoring, and developing design talent to foster a high-performing, creative, and inclusive team culture., • Champion and evolve Sonar's design systems and UX best practices, ensuring consistency and quality across a complex, technical, developer-facing product suite., • Guide the design approach for agentic and AI-driven features, ensuring the team understands emerging patterns and best practices in this space., • Engage directly with customers, users, and industry leaders to gather insights, and translate those insights into actionable, high-impact design solutions., • Represent design at the executive level, communicating strategy, trade-offs, and progress to executive leadership and cross-functional, global stakeholders., • Partner with Product Management and Engineering to ensure design is embedded early in the product development process, not bolted on at the end., • 7+ years of management experience in product design, UX, or a related field, with a proven track record of leading and scaling teams globally., • Demonstrated success in end-to-end product design leadership, including visual design, interaction design, workflows, strategic product thinking, and platform evolution., • Deep expertise in design systems and UX best practices, including experience designing for developer tools, API based tools, or similar technical/complex products., • Good understanding of the agentic domain and how it shapes product and design decisions., • Experience defining design strategy that drives measurable business outcomes., • Exceptional collaboration and communication skills, with the ability to work effectively across executive leadership, cross-functional teams, and global stakeholders., • Proven ability to mentor and develop design talent, fostering a high-performing, creative, and inclusive global design culture., • Deep understanding of customer needs and market trends, with experience engaging directly with users and industry leaders to translate insights into actionable, high-impact design solutions. This role is based in London. We are unable to consider candidates unwilling to be in London, but we are willing to relocate the right candidate. At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at [email protected] . All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr