Sales agent jobs in United Kingdom

Where: EE Darlington (Senhouse Road) Part Time: We have 20 hours per week* available Salary: £13,928.53 Hourly rate: £13.35 per hour rising to £13.66 per hour at 9 months in role Start date: October 2026 *Please note, the shift pattern for 20 hours per week is an average and you will be working a two week rotation which is 22 hours one week and 18 hours the next. Please ensure you have the right to work over 20 hours per week and have no working restrictions, or we will not be able to progress with your application. What’s in it for you • Competitive Salary: Rising after 8 months, plus an uncapped monthly commission scheme, • Online GP: Access to a private GP 24/7 for you and your immediate family, • Paid Carer’s Leave: Market-leading carers leave with up to 2 weeks off, • Family Leave: Equalized maternity, paternity, and adoption leave – 18 weeks’ full pay and 8 weeks’ half pay in the first year., • Huge Discounts: Save on EE & BT products, including mobile and broadband., • Career Development: Ongoing support to help you grow your skills and develop, • Season Ticket Travel Loan: Funds for your travel to and from work., • Volunteering Days: Paid time off to give back to your local community., • Optional Private Healthcare and Dental: Protection for you and your family. About the role If you’re someone who puts customers at the heart of every decision, understanding their needs, and helping them find the right solution, then this could be the perfect role for you. This is a fast-paced, rewarding role where your communication skills, ability to adapt, drive and determination will help you succeed – and where your results are recognized and rewarded. At EE, we’re harnessing the power of technology to bring people together and make life better. Join our Darlington Sales Team, and you’ll be right at the heart of it – speaking with customers over the phone, learning what matters most to them, building relationships, and matching them with the perfect EE products and services. From the latest mobile tech to smart home solutions and insurance protection, every call is an opportunity to make a genuine difference. You’ll use your energy and ambition from similar roles where you’ve thrived, met goals, achieved targets, influenced others, or provided great service and you’ll already have the transferrable skills to shine here. You’ll take responsibility for delivering results and collaborate with your team to share ideas and celebrate success. We’ll give you all the training, tools, and support you need to build your confidence and achieve your targets. We understand that life doesn’t always follow a set schedule, so we help our people work flexibly – for example, allowing you to plan your own breaks or bank time off to make sure you don’t miss the moments that matter most. Bring your energy, curiosity, and ambition – and we’ll match it with opportunity. Join us at EE and turn your potential into performance. This a regulated role and is subject to a bankruptcy check in addition to our regular pre employment checks.

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. NetApp sits on 60% of the world's unstructured data. AI runs on unstructured data, and our customers' data is already with us, so we start most AI conversations from a position nobody else has. We are building the engine that turns that into business, and both halves of it are already here: Solution Architects who design the data infrastructure for training, inference, agent runtimes and AI-ready data lakes, and business development people who build the propositions and target lists that open those conversations. What we want now is to run them as one team, with one plan, going after the AI opportunity in EMEA/LATAM proactively rather than one deal at a time. That is this role. You lead the AI Solution Architects and the AI business development / GTM profiles across EMEA/LATAM, and you are accountable for a commercial result: incremental AI pipeline, a better win rate, and AI bookings growth year over year. Build the value propositions with the teams who have to sell them Own our AI value propositions across the four workloads, built together with your architects and business developers, Area sales, Marketing and the partners we sell with. Each one needs an architecture we can defend, the accounts it applies to, and the competitive position and proof points the field will be asked for. Scale what works Take a proposition that produces opportunities in one country and make it work across the region, run by people who did not build it. Stop the motions that do not convert. Scale through partners as well, particularly where the buying decision follows a validated reference architecture. Be our AI voice in EMEA Be the person the market, the press and our own field look to for NetApp's view on AI data infrastructure: inference economics, agent runtimes and data governance, European sovereignty and regulation, and the competitive stacks. Build the same standing in the people around you. Hire and develop the talent this depends on Hire above the bar we have today across two quite different profiles, set the AI technical bar for the wider SE and SA community, build succession, and choose deliberately where the team spends its time. Make our SEs and Client Executives effective on AI workloads Get several hundred Systems Engineers and Client Executives to the point where they can open, qualify and lead an AI workload conversation on their own accounts. Judge the enablement on the opportunities they create afterwards. Build the relationships where platform decisions get made Hold your own relationships with the CTOs, chief architects and heads of AI and platform who decide where their AI workloads will run, maintained between deals, so we are in the conversation before the architecture is set. Basic qualifications • 12+ years in enterprise technology including strategic and people leadership, with 5+ years managing people. Experience leading both technical (pre-sales, solution architecture) and commercial (business development, GTM) profiles, or a credible case for why you can., • A record of creating pipeline in a new or emerging segment, with the numbers and the plays behind it., • Real fluency in the AI infrastructure stack, deep enough to set a bar rather than repeat one: GPU clusters and reference architectures, training and fine-tuning pipelines, inference serving and its economics, agent runtimes and frameworks, RAG and vector search, data lake architecture, and where the data layer sits in each. You should be able to hold your own with a CTO or Head of AI without an architect in the room., • Commercial and dimensioning judgement: able to test whether a solution is right-sized and defend a design choice, including a smaller one, under pressure., • Able to influence without authority across sales, technical, marketing and partner organisations in a matrixed, multi-country environment., • Executive presence at C-level, including when the outcome is uncertain., • Fluent English and willing to travel across EMEA/LATAM. Preferred qualifications • Relationships in the European AI ecosystem — sovereign AI programmes, neoclouds, AI ISVs, GPU vendors, integrators, AI investors., • Experience building a GTM motion from scratch, and the team that runs it., • Understanding of EU AI and data sovereignty regulation, including public-sector procurement., • Experience with hyperscalers and partner-led sales models., • A storage or data infrastructure background helps but is not required. If you come from storage, show us AI deals you have been in and a current read on the market., • Another European language. You start on the inference proposition with two architects, a business developer and an SE manager, arguing about whether the cost-of-serving case holds up with a customer who already has GPUs. Mid-morning, the head of platform at a large European bank, on their AI roadmap rather than on anything of ours. Before lunch, the architecture review on our largest inferencing deal, where you push back on a design that won't survive the customer's second model. Afternoon is a deal clinic with a dozen SEs and CEs taking the new proposition into their own accounts next week. Then an analyst briefing, and half an hour reworking the proposition because last quarter's three losses all turned on the same objection. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Vehicle Warranty Sales Executive - Fully Remote \n £21,780 - £80,000+ OTE | Uncapped Commission | No Cold Calling \n Location: Remote - UK or Overseas \n Job Type: PAYE or Contract \n Basic Salary: £21,780 per annum (PAYE) plus commission \n Warm Leads. No Cold Calling. Uncapped Earnings. \n Are you an experienced telesales professional who knows how to close deals and wants to earn more? \n Buyawarranty is expanding and we're looking for confident, motivated Sales Executives to join our remote UK vehicle warranty sales team. \n We provide warm and hot leads from customers already interested in vehicle warranty cover. You focus on converting enquiries into sales and earning commission. \n What Can You Earn? \n\n • New Starters: £25,000 - £35,000 OTE\n, • Experienced Sales Executives: £35,000 - £50,000 OTE\n, • Top Performers: £50,000 - £80,000+ OTE\n\n Earnings are performance-based, with uncapped commission, enhanced rates for high performers and monthly incentives. Figures are based on current sales performance. \n Why Join Us? \n\n • No cold calling - warm and hot leads provided\n, • Uncapped commission on qualifying sales\n, • Monthly bonuses and performance incentives\n, • Fully remote working - UK and eligible overseas locations\n, • Full product training and ongoing support\n, • Flexible working arrangements\n, • Supportive UK-based team\n\n What You'll Be Doing \n\n • Speaking with customers who have already enquired about warranty cover\n, • Converting warm leads and quotations into sales\n, • Recommending suitable warranty products\n, • Following up on enquiries and closing deals\n, • Managing customer records through our CRM\n\n What We're Looking For \n\n • Minimum 2 years telesales experience - essential\n, • Strong closing and objection-handling skills\n, • Confident, professional telephone manner\n, • Self-motivated and target-driven\n, • Comfortable working remotely and using CRM systems\n\n Experience in vehicle warranties, insurance, automotive sales, car finance or call centre sales is an advantage, but not essential. \n What You'll Need \n A reliable internet connection, laptop or desktop computer and a quiet home-working environment. Headset, training and system support provided. \n Ready to Earn More? \n If you're a confident sales closer looking for quality leads, excellent commission opportunities and the freedom to work remotely, we want to hear from you. \n Apply today and put your sales experience to work with Buyawarranty.

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

Exciting opportunity for a Luxury Travel Sales Agent to join a friendly team in Southwest London. As the Travel Sales Agent, you will be responding to enquiries created online and through our own database of customers. Arranging all aspects of business and luxury travel itineraries, including flights, transfers, accommodation, excursions etc. This role is office based in Southwest London working Monday - Friday . The Job: Working with a wide variety of business travellers and luxury holidaymakers Arranging all aspects of the client's travel Handling all enquiries with exceptional customer service and in a professional manner Offering expert advice i.e., best value/most effective carriers, accommodation etc. Working well as part of a busy but friendly and supportive team Skills Required: Previous Travel experience In-depth knowledge of a GDS Strong knowledge of long-haul travel destinations and Worldwide geography Excellent relationship building and customer service skills. Keen attention to detail Able to articulate well; good clear telephone voice. Professional approach always The Package: Salary: £26,500 plus uncapped commission * Hours: 9am to 5:00pm Monday to Friday Interested: If you would like to apply for the above vacncy click 'APPLY' or email (url removed)

Pear Recruitment - Senior Sales Negotiator Location - Shoreditch Hours - Monday to Friday 9:30am – 6pm Salary - £28,000 – OTE £60,000 Drivers Licence – Not required Our client is an independently owned property company based in the heart of the Shoreditch. They are looking for a Senior Sales Negotiator to work in their trendy branch. By utilising over 50 years of combined experience, they offer a tailored service for their clients, delivering some of the most unique and inspiring property in London. Taking care of every aspect of the buying, selling, letting and renting of properties, their in-depth understanding of the market, along with a proven track record, sets them apart from the usual high street estate agent. Key Responsibilities: Valuing residential properties and advising clients on pricing strategies. Marketing properties and arranging viewings. Negotiating offers between buyers and sellers to achieve successful sales. Managing the sales process from offer acceptance through to completion. Building and maintaining strong relationships with vendors, buyers, solicitors, and mortgage advisers. Providing expert advice on local property market trends and conditions. Meeting and exceeding sales targets and key performance indicators (KPIs). Following up leads and generating new business opportunities. Resolving issues that arise during the sales process to keep transactions on track. Maintaining accurate records using customer relationship management (CRM) systems. Ensuring compliance with relevant property legislation, company policies, and industry regulations. Representing the company professionally and delivering excellent customer service at all times. Key Competencies: Deliver excellent customer service Always presented immaculately. Strong time management skills Enhanced communication skills to ensure engagement across the business. Use initiative to solve problems and stay focused on department objectives. Hungry to secure new business and help the company grow. Follow company processes and procedures well. Improve sales skills and be up to date on legislation and industry updates. Ability to remain calm and positive in all situations and under pressure. Have a flexible and adaptable approach. Solutions and results focused. Ability to meet deadlines and follow company process. If you are interested in this Senior Sales Negotiator role and would like to know more, please email your CV or telephone us on a strictly private and confidential basis for an informal discussion. Recommend a friend - Do you know someone looking for a position? If you recommend them to us, we have a fantastic referral fee to offer! Please contact us for more information. Due to the number of responses we receive to our advertisements we are unfortunately unable to respond individually to each applicant. If you do not hear from us within 7 days, you may assume you have not been selected this time - but please apply for anything you feel you are suitable for and thank you for your interest in PEAR Recruitment. Confidentiality – All communication with us is treated with the upmost confidentiality and you will always be advised if your CV is being submitted to a client

Dutch-Speaking Travel Agent Location: London – moves to Hybrid after training Salary: £12.79 - £14.30 per hour Contract: Temp to Perm Hours: 37.5 hours between 8am to 8pm Monday to Friday and 8am to 5pm Saturday and Sunday – only 2 weekend days per month with a day off in Lieu The Opportunity Are you a fluent Dutch speaker with a passion for sales, travel and delivering an excellent customer experience? We’re recruiting for a Dutch-Speaking Inbound Sales & Customer Service Agent to join a busy, high-performing customer contact team supporting customers with holiday bookings and enquiries. This is an inbound role where you’ll speak with customers who are already interested in booking. Your job will be to understand what they’re looking for, confidently recommend the right options and turn enquiries into confirmed bookings. You’ll also have opportunities to increase the value of each booking by recommending relevant upgrades, activities and additional services. What You’ll Be Doing Handle inbound sales and customer service calls Convert customer enquiries into confirmed holiday bookings Understand customers’ needs and recommend suitable options Use confident and persuasive sales techniques to secure reservations Identify opportunities to upsell upgrades, activities, additional products and extended stays Assist customers with booking changes, cancellations and confirmations Deliver an excellent customer experience throughout every interaction Work towards and exceed individual and team sales targets and KPIs What We’re Looking For Fluent Dutch is essential for this position. You’ll also need: Proven sales experience Confidence influencing customers and closing sales Strong communication and interpersonal skills A natural drive to achieve and exceed targets Excellent attention to detail The ability to multitask in a fast-paced environment A professional, motivated and resilient approach The ability to work independently while contributing to a successful team * An understanding of contact centre KPIs Previous experience within travel, hospitality, retail, telecoms or a contact centre environment would be particularly beneficial. Apply If you’re a fluent Dutch speaker with proven sales experience and you’re ready for your next opportunity, apply today with your CV. Further information about the organisation and role will be shared with suitable candidates during the recruitment process

Job Title: Sales Agent – Premium Location Store (High Commission + Security) Location: Premium Location Stores Salary: Unlimited Commission (Paid Bi-Weekly) min, £70 per shift Job Type: Full-time / Self-Employed / Sub-Contractor Are you the next top-performing Sales Agent? We are looking for a hungry and ambitious Sales Agent to join our team at our Premium Location Store. If you are a natural communicator who loves the thrill of the "close," this is the role for you. Whether you are a seasoned pro or looking to break into the industry, we provide the platform for every Sales Agent to earn without limits. The Role As a Sales Agent, you will be the face of our brand in a high-footfall environment. Your mission is simple: Demonstrate: Showcase our products to potential customers with enthusiasm. Convert: Turn interest into action and close sales on the spot. Represent: Maintain a professional and positive image for the company at all times. What’s in it for you? We believe in rewarding hard work. Every Sales Agent on our team benefits from a "best of both worlds" pay structure: Security: A guaranteed £70 per shift to keep your base covered. Unlimited Earnings: High commission rates with no earning cap. Bi-Weekly Pay: Get your commissions paid every two weeks—no long waits for your money. What we’re looking for We value positive attitude over everything else. While we prefer a Sales Agent with Field Sales or Door-to-Door experience, we welcome applications from all backgrounds if you have the right spark, are happy around people and want to make money. Competitive Spirit: You love to win and hit targets. Strong Communicator: You can build rapport quickly in a busy store environment. * Requirements: You must be a Sales Agent with the right to work in the UK on a self-employed basis for over 20 hours per week. WE HAVE EXCITING OPPORTUNITIES AT HAMLEYS & HARRODS Join our team as a Sales Agent & RC Toy Demonstrator at Hamleys and take on the thrilling role of engaging customers with our range of remote-control toys. You'll be the highlight of the Hamleys store, showcasing our best high-flying action products. Eligibility Requirements: -Right to Work in the UK & ID: You must be legally authorised to work in the United Kingdom. -Passion for Play: You love games, toys, and the thrill of competition. -Customer-Centric Attitude: Engage with visitors and provide exceptional service. -Team Player: Collaborate with fellow demonstrators and store staff to create a magical experience. Uncapped Commission: Your hard work will be rewarded with commission-based incentives. Staff Discount: Enjoy discounts at Hamleys, and Buzz Retail Ltd. If you're passionate about toys and creative, with a drive to make money, confident in your sales abilities, and eager to spread joy to Hamleys' customers, we want to hear from you! **This is a Self-Employed Role, with a completion amount of £70 shift (not do be confused with dayrate). NO CAP commission

Experience in vehicle warranties, insurance, automotive sales, car finance or call centre sales is an advantage, but not essential.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences – focusing on raising the floor for those who need it most. We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation. That means making Claude the go‑to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimagining pharma pipelines – and building the technical infrastructure to back that up. You'll work directly with flagship research partners like The Howard Hughes Medical Institute (HHMI) and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside – you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude’s usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments Applied AI team focused on bringing life sciences closer to the frontier. • Partner deeply with flagship life sciences research institutions – understand their scientific workflows end-to-end, build hands‑on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day‑to‑day., • Develop reusable ecosystem infrastructure, like MCP servers for domain‑specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically‑grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch., • Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype‑to‑trust gap) and feed these findings back to product, engineering, and research., • Create technical content and documentation that lets partners self‑serve, so what works for one institution can scale globally without the same level of hand‑handing., • Deep research experience in life sciences, biomedical research, or scientific computing., • Bonus if you’ve studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics., • Experience building LLM‑powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks., • Builder credibility from shipping production code as a software engineer, forward‑deployed engineer, or technical founder., • A scrappy mentality – comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. Annual Salary: £225,000 - £255,000 GBP For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience, • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience, • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position, • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think that this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. #J-18808-Ljbffr

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As an Applied AI Engineer on our Enterprise team, your role is to guide some of the UK's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go‑to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi‑quarter engagement. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. • Partner with Enterprise Account Executives and Applied AI Architects to take UK enterprise customers from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude, • Lead the technical side of each opportunity, then remain the customer's technical advisor on Claude as they deploy, • Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and advise the delivery team as the build progresses, • Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, • Build and present the business value case for Claude to C-level and senior executives, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market, • Guide customers through long, multi‑stakeholder procurement, including security and architecture reviews and a clear path to production, navigating security, compliance, data residency and governance requirements (including UK GDPR), • Feed patterns from enterprise engagements back to Product, Engineering, and the wider Applied AI team, and travel to customer sites across the UK, • 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder, • Pre-sales or technical advisory experience selling into large enterprises, ideally in the UK, including owning the technical win (evaluations, proofs of concept, due diligence with security, legal and procurement), • Experience with value-based selling and presenting a business case to C-level and VP-level stakeholders, • Production experience with LLM‑powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, • Familiarity with enterprise security, compliance, and architecture requirements, ideally in regulated sectors, • The ability to explain complex AI concepts clearly to both technical and executive audiences, and a passion for making powerful technology safe and beneficial #J-18808-Ljbffr

In this role, you will work directly with clients and CGI teams to identify high-value opportunities for agentic AI and turn them into practical, measurable solutions. You will take ownership from early discovery and pre-sales through rapid prototyping, pilot delivery and production deployment, helping clients understand where emerging AI capabilities can deliver genuine business value. You will have the freedom to experiment and create, developing deep expertise in OpenAI Codex and related agentic technologies while being supported by CGI specialists across architecture, cyber security, cloud, platforms and governance. You will also turn successful implementations into reusable patterns, assets and propositions, helping CGI scale innovation across clients and sectors. • Discover & Shape - Embed with clients to understand workflows, technology environments and business challenges, identifying high-value opportunities for AI., • Prototype & Validate - Rapidly build prototypes, interfaces and MVPs to test ideas against clearly defined workflows and measurable outcomes., • Design & Deploy – Build agentic AI systems that integrate securely with client infrastructure, data and operational processes., • Engineer & Integrate – Develop across user interfaces, backend services, APIs, integrations, data and cloud environments., • Optimise & Govern – Engineer agent context, tools and orchestration with appropriate permissions, evaluations, guardrails and human oversight., • Innovate with Codex – Develop deep expertise in OpenAI Codex and apply AI‑assisted engineering to real client development workflows., • Scale & Reuse – Convert successful implementations into repeatable agentic patterns, workflows, assets and propositions., • Consult & Influence – Deliver technical demonstrations and presentations to technical and non‑technical audiences and contribute to RFPs, bids and tenders., • Productionise & Improve – Take validated concepts from experimentation through MVPs to secure, robust and scalable production solutions. You will bring strong software engineering foundations alongside hands‑on experience with AI‑assisted or agentic development. You should be comfortable working directly with clients, navigating ambiguity and rapidly turning ideas into working software. Curiosity about emerging AI technologies is important, and you'll be supported by CGI colleagues as you deepen your expertise and apply new capabilities to complex enterprise challenges. • Hands‑on AI engineering experience – Practical experience with OpenAI Codex, Claude Code or comparable agentic coding tools., • Agentic AI knowledge – Working knowledge of context engineering, tool use, orchestration, evaluation and guardrails, gained professionally or through substantial hands‑on experimentation., • Strong software engineering foundations – Broad understanding of front‑end applications, backend services, APIs, integrations and cloud infrastructure., • End‑to‑end delivery experience – Proven ability to take software from experimentation and prototyping through to operational deployment., • Client‑facing capability – Strong experience in pre‑sales, solution engineering, consulting or client‑embedded software delivery., • Communication skills – Ability to explain complex technical concepts clearly and concisely to technical and non‑technical stakeholders., • Adaptability & ownership – Confidence working with ambiguity, changing priorities and emerging technologies while driving work towards practical outcomes. Experience designing agentic AI applications using technologies such as the Codex SDK/API, OpenAI Agents SDK/API, MCP, skills, subagents or comparable frameworks would be advantageous. Experience with agent evaluation, observability, sandboxing, permissions, human‑in‑the‑loop approaches, CI/CD, DevOps, cloud platforms or deploying AI within secure and regulated environments would also be valuable. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well‑being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team‑one of the largest IT and business consulting services firms in the world. • Insurance coverage, • Medical benefits, • Pension plan, • Member Assistant Programme, • Check4Cancer, • Flexible time off, • Share Purchase Plan, • Member discounts, • Dental benefits, • Vision benefits, • Profit Participation Plan, • Health and Wellbeing Programme At CGI, you'll help turn the possibilities of agentic AI into measurable outcomes for organisations operating in complex enterprise environments. Working at the intersection of clients, software engineering and emerging AI, you'll take ownership of ambiguous challenges and rapidly transform them into prototypes, operational pilots and production‑ready solutions. You'll have the freedom to explore new approaches using OpenAI Codex and agentic technologies, while collaborating with CGI experts and client teams to deliver secure, scalable solutions. As successful ideas develop, you'll help shape reusable AI patterns and propositions that can create value across CGI's clients and sectors‑giving you the opportunity to influence how organisations adopt and scale the next generation of AI. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. This is a hybrid position. #J-18808-Ljbffr

Build the multi-agent systems that automate work banks currently do by hand. You'll own the orchestration, the auditability, and the evals that make our agents trustworthy. Mid–senior IC 3 days/week in office Visa sponsorship available Thanks for taking the time to consider Tuza. When joining a company at the early stages of its growth story, there's often more than meets the eye. This is our opportunity to help you understand why your next role should be with us. We're based in Shoreditch, spend three days a week in the office, and can sponsor visas for the right candidate. Diversity is a priority for us. We build a better product when the people building it don't all think the same way. If you're still unsure at the end, drop into our offices in Shoreditch and see it for yourself. We build AI agents for banks, taking on the manual work that stops them from growing. Every business that comes to a bank for a financial product gets passed from team to team, sales to onboarding to activation, and so on. Right now, every one of those teams is only ever as fast as the number of people in it. Our agents do that work without the ceiling. To be trusted with it in a bank, they have to be accurate, quick, and accountable, with auditability, explainability and security built in rather than an afterthought. That's what makes banks the hardest place to attempt this, and the place where getting it right is worth the most. We've raised $7 million from Northzone, Connect Ventures and TriplePoint, and work with acquiring banks including Worldpay, Barclaycard and NatWest. We're earlier than that list makes us sound. The problem is real, and banks are already paying us to solve it. We're still experimenting with the product that best surfaces our value, and that's a large part of this job, rather than something that will be handed to you finished. Doing that work is a small but driven team of 12 based in our Shoreditch office who care about their work and its impact. There's also something you might already know us for. We built the UK's first payments price comparison platform, helping small businesses compare providers. It still runs today on MoneySuperMarket, Uswitch and money.co.uk. You won't be working on it, but it's why we know this market so well. • Extreme ownership: you own the outcome of your work, not just the output. If you see something broken or missing, you have the freedom and the responsibility to fix it., • Learning velocity: curious, adaptable, and quick to pick things up. Hard problems require grit, and we embrace them., • Customer-centric: we spend a day a week inside our partner banks, watching problems happen before they're even reported. Product decisions get made in that room, not in a roadmap meeting., • Open and direct: we communicate openly, directly, and with intent., • Develop and optimise AI agents for live banking workflows, • Design review gates, fail-safes, and fallback behaviour, • Build the observability and feedback loops behind agent performance, • Spend time with our partner banks in their offices, and turn what you see there into product changes We're hiring mid- to senior-level individual contributors with at least 4 years' experience. • Exceptional Python and experience orchestrating LLMs with tools like Temporal or LangChain, • AI automation shipped and running in production, • A record of making agents reliable and efficient, • Fluency with data pipelines and integrations We're an early-stage and intentionally lean. That means: • We judge impact by the outcome of work, not the output, • Priorities shift when we learn something new, and we try to communicate why, but it happens, • You'll be given a direction, and the plan is yours to work out This suits people who are comfortable with ambiguity, ask early when context is missing, and would rather ship something good enough fast than perfect something late. It's less suited for those who prefer clear hierarchies, detailed briefs, or predictable roadmaps. That's not a character flaw; we just don't offer that yet. Probation is a mutual check-in. We give feedback as we go, and we expect the same in return. If the fit isn't there, we'd rather know at month two than month six. Our aim is to get candidates through the whole process within two weeks of applying — quick enough to respect your time, thorough enough to keep our standards high. • 20-minute intro call to talk through your background, what you're looking for, and how we work, • 40-minute technical interview digging into products you've built and the decisions behind them, • 3-hour technical assessment, ideally at our Shoreditch office but remote works too, • 30-minute conversation with our CEO, Ed, to close things out and answer anything still on your mind, • A competitive salary and generous equity, • Three days a week in our Shoreditch office, Tuesday to Thursday, and the rest wherever you work best, • 25 days holiday, with flexibility when you need it, • £350 a year towards taking a proper break, • £350 a year towards learning or a hobby, • Smart, kind colleagues who care about the work, • Soundbaths, terrarium making, saunas, cooked breakfasts, barbecues on the rooftop and the occasional Mario Kart tournament #J-18808-Ljbffr

Open the conversation that helps the UK’s most complex enterprises see, and steer, their own change. Ardoq is one of Norway’s most exciting scale-ups, a truly global company built out of Oslo. We are a SaaS platform that helps organizations understand, manage, and evolve their complex digital landscape. By providing a dynamic, collaborative “digital twin” of their business, we connect systems, people, and processes to drive better decision-making and accelerate digital transformation. Today, we help some of the world’s most complex organizations (like ExxonMobil and British Telecom) gain clarity in a changing world. We are backed by leading global tech investors, including EQT and One Peak, giving us the stability of a mature company with the speed and soul of a startup. Every new system, integration, and AI agent an enterprise adds makes the big picture harder to see. The people who feel that most are the CIOs and enterprise architects trying to make confident decisions while their view of their own technology landscape keeps slipping out of date. That is the gap Ardoq exists to close, and as a Business Development Representative, you are the person who opens that conversation. This is a foundational role on our combined UK and EU Business Development team. You will research and prioritize the right enterprise accounts, reach out with a point of view, and run qualification conversations that get straight to what is actually slowing a prospect down. You will work hand in hand with Account Executives and Marketing to build qualified pipeline, and you will be the first human impression many prospects have of Ardoq. At Ardoq, we value autonomy and psychological safety. In this role, you won’t just follow a script; you will have the influence to shape how you open a market and the ownership to see your conversations through to qualified pipeline. • Identify and prioritize enterprise accounts using LinkedIn Sales Navigator and Salesforce, researching where digital complexity is highest and where Ardoq can create real value., • Run outbound prospecting across calls, email, and LinkedIn, tailoring your message to the person you are trying to reach rather than blasting a template., • Lead qualification conversations that uncover where technology complexity is creating risk or slowing progress, and are honest about whether Ardoq is the right fit., • Partner with your Account Executive to prepare for and join discovery calls, making every handover set the customer up for a strong first meeting., • Work closely with Marketing so campaigns and your outreach amplify each other., • Keep your Salesforce pipeline accurate and current, because data quality is part of how we win., • Stay current on Ardoq’s platform and the enterprise architecture market, so every conversation is grounded in genuine insight., • Represent Ardoq at events and industry gatherings, contributing to brand presence and lead generation. Review your priority accounts and plan your outreach, balancing inbound follow-up with new outbound pushes. Run qualification conversations with prospects at different stages, some who have never heard of Ardoq, some already curious about what a “digital twin” of their business could do for them. You will get a few no’s, keep your energy up, and find the one conversation that opens a real opportunity. You will debrief with your Account Executive on a pending handover, use AI to sharpen a sequence and lift your response rates, and close the day with your Salesforce pipeline fully updated and a clear read on where the market is opening up. We’re looking for someone who combines genuine commercial curiosity with real persistence, and who is early enough in their career to be shaped by how we do things here. • The self-starter: You bring your own energy. This is a high-volume role, and you stay motivated through the repetition and the no’s because the drive comes from inside, not from someone standing over you., • The competitor: You are a go-getter who is genuinely motivated by targets, incentives, and doing more. You want to be measured, and you want to win., • The prospector: You are confident across calls, email, and LinkedIn, and you use Salesforce and LinkedIn Sales Navigator deliberately, not just to find contacts but to prioritize the right accounts., • The qualifier: You listen before you pitch. You ask the questions that uncover whether a prospect has a real problem Ardoq can solve, and you are honest when the fit isn’t there yet., • The professional: You can hold a credible, trust-building conversation with senior stakeholders, up to and including CIOs. This isn’t about age; it is about how you show up, how you present, and above all how you listen., • The technologist at heart: You are genuinely interested in SaaS and enterprise technology and enthusiastic about learning it deeply. Some BDR or sales-adjacent experience is a real advantage., • The learner: You treat coaching as fuel, applying it quickly and building on it consistently, and you are already curious about how AI can make your work sharper. We live by three values, Bold, Caring, and Driven, that define how we work, how we treat each other, and how we win. We continuously raise the bar for ourselves and each other, starting from a place of “what if I could?” We act decisively, even when the information isn’t complete, and choose forward motion and learning over waiting for the perfect answer. We care enough to be candid. That means delivering direct, kind, and timely feedback that helps our teammates grow. We operate as one team, sharing knowledge openly, celebrating each other’s wins, and putting collective success ahead of individual ones. At Ardoq, everyone has a stake in the outcome, including stock options. We act like owners: measuring success by impact rather than effort, saying “no” to distractions, and staying focused on the highest-value work at pace. We believe that high performance is powered by wellbeing. You’ll have access to a competitive package that supports performance, wellbeing, and long-term success. • Employee Stock Options, share in Ardoq’s success as we grow together, • 25 days annual leave, • Enhanced parental leave to support you and your family, • Retirement and insurance benefits, including health, disability, and life insurance, • Annual learning budget to support your growth and development, • A hybrid working policy: 2-3 days per week from our London office Short video interview - intro call with the recruiter - interview with the hiring manager - case study - final values interview. At Ardoq, every teammate has a voice. Whether you love tackling enterprise-scale challenges or improving how companies run, you’ll not only belong, you’ll impact, grow, and make work meaningful. #J-18808-Ljbffr

We’re BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today’s changing world. We work with the companies that are Britain’s economic engine – ambitious, entrepreneurially-spirited and high growth businesses that fuel the economy - and directly advise the owners and management teams that lead them. Our Sales & Marketing team is building a function that reflects who we are: open, trusted and focused on shaping what matters. You’ll join a team big enough to offer big priorities and commercial challenges, yet personal enough to ensure you’re supported and empowered from day one. Here, we think beyond. You’ll bring ideas, challenge thinking and help shape how we deliver campaigns, insights and engagement across the business. Working closely with internal clients, you’ll deepen your understanding of our sectors and see how connected teams drive our 2028 growth ambitions. From strategic storytelling to capability‑building and smarter ways of working, you’ll grow your skills while working with people who care about doing the right thing. In this team, development is central to how we work. You’ll have access to best‑in‑class training, clear capability frameworks and hands‑on learning that give you the confidence and skills to grow quickly. We make it personal with supportive teams where you belong, are trusted, and take transformative work on early. You’ll collaborate across service lines and leadership levels, building relationships grounded in openness and accountability. You’ll bring your best - taking ownership, delivering quality and building trust across the firm. In return, you’ll get clarity, fair feedback and the development you need to succeed. You won’t just complete tasks - you’ll help shape how the team evolves and how we support the business. The Sales and Marketing team are looking to recruit a Markets Activation Senior Manager, aligned to Audit, based in the London, Baker Street office. The Markets Activation Senior Manager is deployed into a defined area of the business and is responsible for developing and delivering business development strategy and plan aligned to growth and market priority areas, including the firm’s Target and Priority Client programmes. The role builds sponsorship and shared agreement with senior stakeholders on partner routines, business development focus and success measures, and ensures activity is delivered through business development standards and ways of working. Working closely with the Head of Markets Activation, this role connects firm direction to local execution—maximising adoption of central Proposition Packs and business development Packs, identifying gaps, and coordinating cross-functional collaboration to enable solution‑led selling. The role acts as a change agent by embedding best practice, improving adoption, and using insight and KPIs to drive interventions. • Develop and maintain markets activation strategy and deployment plan for the area, translating firm priorities into practical partner routines and actions., • Build shared agreement with senior business stakeholders on markets activation priorities, cohorts, cadence, responsibilities and measures., • Ensure the deployment plan explicitly covers relevant Target and Priority Client programme needs, including partner routines and follow-through expectations., • Align local plans to the wider markets activation portfolio and capacity assumptions with the Head of Markets Activation., • Define priority audiences and buyer types for local priorities; ensure routines, talk tracks and materials reflect buyer needs, objections and decision patterns., • Ensure markets activation work remains solution‑led by connecting buyer needs to the firm’s solutions, proof points and differentiators., • Identify gaps (buyer relevance, proof points, messaging clarity, routines) and coordinate improvements via the appropriate owners rather than creating parallel approaches., • Coordinate timing and dependencies with Campaigns, Content, Digital and Design so business development has the right supporting activity and assets., • Lead delivery of markets activation activity locally, ensuring stakeholder readiness, clear ownership and disciplined follow‑through., • Provide consistent inputs to monthly performance reporting: what was delivered, what’s working, what changed and what needs to improve., • Line manage and develop Markets Activation Managers where applicable, ensuring role clarity, coaching and consistent standards., • Strong experience in sales enablement/Business Development/commercial mobilisation within a complex B2B environment., • Proven ability to influence senior stakeholders and mobilise partner cohorts through routines and coaching., • Strong buyer/audience understanding and ability to translate insight into markets activations., • Strong programme delivery and risk management capability with multiple dependencies., • Experience of using metrics and dashboards to drive action and improvement. At BDO, we’ll help you achieve your personal goals and career ambitions, and we have programmes, resources, and frameworks that provide clarity and structure around career development. Mutual support and respect is one of BDO’s core values and we’re proud of our distinctive, people‑centred culture. From informal success conversations to formal mentoring and coaching, we’ll support you at every stage in your career, whatever your personal and professional needs. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you’ll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value for the companies we work with and satisfying experiences for our colleagues, so we’ve invested in state‑of‑the‑art collaboration spaces in our offices. BDO’s people represent a wealth of knowledge and expertise, and we’ll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you’ll never stop learning at BDO. At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we’re always finding new ways to invest in you. Across the UK thousands of unique minds continue to come together to help companies we work with to achieve their ambitions We’ve got a clear purpose, and we’re confident in our future, because we’re adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better. #LI-MM1 and #TJ-MM1 #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 and writing off 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. The Role We’re looking for an AI Ops Engineer for our product team to build the internal systems that help Kernel scale without adding unnecessary manual work. You’ll work across Product, Customer Support, and Engineering - finding the highest‑leverage problems and building practical AI‑powered workflows. This is a hands‑on builder role. You’ll take ideas from a vague business problem to a tool or workflow that people use, then maintain and improve it in production. You’ll choose the fastest sensible approach for each problem - coding agents, automation platforms, APIs, data pipelines or lightweight code. Your focus area will be whatever is the most critical blocker for Kernel’s growth, whether that’s automating our customer support, tying our data feedback loop to automatically seed our evals (benchmarks), building tooling for our sales team to demonstrate Kernel, and so on. You’ll report to Marcus Henglein, our co‑founder who leads our Product, Engineering, and Client Delivery teams. What You’ll Be Doing Automating customer support: The first focus area is to lead our initiative on automating as much of our technical customer support as possible, leveraging Kernel’s docs and MCPs, the right kind of AI tooling, and working closely with the engineering team. Turning user feedback into evals: Build workflows that turn data issues reported by users into test cases, helping Kernel catch recurring errors and measure improvements. Keeping docs current: Build workflows that detect product changes and keep our documentation accurate. Making Kernel easier to demo: Build tools that help our sales team prepare and run demos using relevant account data. Priorities shift, problems often start loosely scoped, and you’ll own the work through maintenance. What You Bring A track record of shipping: you’ve built tools, automations or AI workflows that people use every day, ideally inside a small, fast‑moving startup. Around 2–5 years of experience is typical, but what you’ve built matters more than your years. Ex‑founders welcome Curious about product: you’re keen to learn how a product/engineering organization works in a fast‑paced startup environment AI‑tool obsessed: you are constantly testing new models, agents, MCPs and workflows, and you have the judgement to turn them into reliable systems that people actually adopt - but without turning off the “Local LLM” that you were born with (your brain) Strong data instincts: you can turn fragmented, messy information into reliable workflows and create feedback loops that keep it trustworthy Can’t unsee inefficiency: you see the company as a connected system; when you find a broken or unnecessarily manual process, your instinct is to understand it, build the fix and make sure it sticks Artisanal programming experience is not required for this role, and you don’t need a traditional software engineering background. This role may not be for you if you: Prefer deep specialization over breadth: this role means switching between projects and teams, depending on business needs Prefer steady‑state work over project‑based sprints: priorities will shift as the business evolves Only want “strategic” work: you will personally build the tools, clean the data and fix the workflows Need every task to be clearly scoped before starting: ambiguity and learning on the fly are constant Avoid operational grunt work or lose interest after the prototype Want to work in a more structured 9‑to‑6 environment or in a remote/hybrid setup: we are in the office together 4–5 days a week and the pace is high What We Offer We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. Salary: £60,000–£85,000 + 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 deploy AI across a fast‑growing company High‑autonomy, high‑trust environment with a small team shipping at pace Stage 1 – Video call with the Hiring Manager. Stage 2 – Case study interview (in person) with the team. Stage 3 – Values interview with the Founders. If there is mutual fit, we move to references and offer. #J-18808-Ljbffr

We are seeking a highly skilled and innovative Lead Agentic AI Engineer to join our team and drive the design, development, and deployment of production‑grade generative AI and agentic solutions using Microsoft technologies. This role is ideal for a technically strong engineer who has hands‑on experience building AI solutions, orchestrating agentic workflows, implementing evaluation frameworks, and deploying solutions into secure, scalable, and cost‑optimised production environments using platforms such as Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio. • Take ownership of technical solution design and architecture decisions, bringing clarity from ambiguous client requirements, • Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices, • Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments, • Lead end‑to‑end solution delivery, from discovery and design through implementation, deployment, and handover, • Make clear technical design decisions that support scalability, reliability, security, and maintainability, • Lead and mentor junior team members, helping them deliver high‑quality outcomes and grow their technical capability, • Collaborate effectively with cross‑functional teams in agile environments, • Manage technical stakeholders and client conversations, translating business needs into practical AI solution designs, • Support or lead pre‑sales activities, including solution shaping, technical estimations, demos, proposals, and client discussions, • Lead implementation during delivery, ensuring the proposed solution is built to the agreed architecture and quality standards, • Hands‑on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral, • Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi‑agent patterns, • Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance, • Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost, • Experience deploying AI solutions into production with focus on cost optimisation, scalability, observability, security, and governance, • Experienced in using Microsoft GenAI ecosystem, including M365, Copilot Studio, Azure AI Foundry, and Microsoft Agent Framework, • Proficient in Python and production‑quality code practices, • Strong understanding of software engineering principles, architecture patterns, and delivery best practices, • Experience with API development using frameworks such as FastAPI, Flask, or Django, • Knowledge of Docker, containerised deployments, CI/CD, and cloud‑native delivery patterns, • Experience building, deploying, and evaluating multi‑agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations, • Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A, • Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness, • Confidence contributing to pre‑sales while also being able to lead implementation during delivery, • Curiosity and motivation to stay current with the latest advancements in GenAI, agentic AI, and AI engineering frameworks, • Bachelor’s degree in Computer Science, Data Science, or a related field, • Microsoft certified (e.g., Azure AI Apps and Agents Developer Associate or Agentic AI Business Solutions Architect), • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications), • Real‑time access to technical and skilled resources globally, • Collaborate with some of the brightest Microsoft minds, • Build your expertise, solve problems, learn, and develop #J-18808-Ljbffr

• Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting, • Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems, • Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment, • As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers, • You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today, • Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region, • This role is based in London, • This is a player-coach role, • You need to be credible in architecture conversations with a customer’s engineering leads and equally comfortable in front of executive sponsors, • You will also lead the most complex engagements yourself when the stakes call for it, • Most of your impact will come through the people you hire and the standard you hold them to, • You won’t write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs, • Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar, • Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room, • Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there, • Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team, • Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders, • Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes, • Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment, • Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story, • Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late, • Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets, • Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning, • Run the team’s operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes, • Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions, • Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic’s culture as they work within customer environments, • Travel to customer sites across EMEA (25-50% expected), with occasional travel to the US, • Comprehensive health, dental, and vision insurance for you and your dependents, • Inclusive fertility benefits via Carrot Fertility, • 22 weeks of paid parental leave, • Flexible paid time off and absence policies, • Mental health support for you and your dependents, • Competitive salary and equity packages, • Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant, • Retirement plans with competitive matching, • Life and income protection plans, • $500/month flexible wellness and time saver stipend, • Commuter benefits, • Annual education stipend, • Home office stipends, • Relocation support for those moving for Anthropic, • Daily meals and snacks in the office, • Have delivered AI/ML or LLM-based agentic solutions into production., • You understand solution patterns, integration approaches, and what breaks in real environments, • Bring depth in at least one industry (e.g., financial services, healthcare and life sciences)., • You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering, • Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic, • Have strong written and verbal communication skills., • You can translate technical complexity into clear narratives for diverse audiences., • Working proficiency in a second European language such as German or French is a plus, • Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement, • Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes, • Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy, • Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites, • Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team, • Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage, • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience, • Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this, • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience, • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position, • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices #J-18808-Ljbffr

Equals is the next-generation global money movement platform built for exceptional businesses operating across borders. We bring international payments, embedded finance, and more together into a single connection that simplifies operations and strengthens financial control. With deep expertise and integrated infrastructure, Equals turns financial complexity into reliable solutions. With our headquarters in London and teams around the UK and Europe, you will join a very close-knit, talented and supportive team from various backgrounds who believe that bringing different perspectives together helps us understand our customers' needs. United, by one thing, making money management straightforward and cost-effective for our customers. As we enter our next phase of growth at Equals, we are looking for an exceptional Strategy & GTM Lead to define where and how we win commercially, and turn that into consistent, disciplined execution on the ground. This role combines commercial strategy, covering target segments, verticals, ICPs and competitive positioning, with the playbooks, training, certification and enablement assets that make that strategy real for every seller. Reporting to the SVP Commercial Strategy, GTM & Revenue Operations, you will set our commercial direction and make sure the sales team is equipped to deliver it. It is central to our growth ambition. This is a senior appointment. You will carry the commercial strategy agenda for the business, set the standards the wider revenue team works to, and lead us through a period of significant change at pace. The shape of the team around this role will develop as the function does. You are a high-calibre commercial strategist and operator who brings real intensity to the work. This is a step-change hire: someone equally comfortable building the 3-year commercial narrative and getting hands‑on to ship the playbook that makes it land on the sales floor. You carry enough weight to hold your position with senior commercial stakeholders and a room full of sellers, and you are experienced enough to lead, mentor or build a team around you as the function grows. You are analytically rigorous. You are comfortable sizing markets, prioritising verticals and building the evidence behind a bet. You are also commercially credible with a sales floor, turning that thinking into playbooks sellers actually use. You build agent‑first, using AI to draft collateral and remove admin so sellers spend their time selling. You move at pace and hold the line on quality. You will work closely with the SVP, the revenue SVPs, Revenue Operations, Marketing / Product Marketing and the sellers themselves. • Own the commercial strategy source of truth: target segments, verticals, ICPs, use cases and competitive stance., • Codify where we win now: the verticals and motions that reliably produce revenue, with the evidence behind them (win rates, sales cycles, productivity)., • Identify where we can win next: size and prioritise adjacent verticals and new markets, with clear hypotheses and a test‑and‑learn plan., • Translate strategic choices into GTM direction: territory / coverage approach, messaging inputs and campaign priorities, partnering with Marketing., • Build and maintain the commercial scorecard that links strategy to pipeline to revenue., • Own competitive positioning: how we win against the competitors we meet most often, and where we can displace them., • Own the design of the enablement "101" that teaches the deal‑stage flow, required fields and tools (SoW generator, prospect hub, collateral library), and the standards around using them., • Turn segment and vertical assessments into GTM sales‑enablement playbooks, with guardrails that keep sellers in appetite and cut out‑of‑appetite deals., • Build and run the certification path: a seller is certified before they carry a number., • Set the standard for onboarding and ongoing training across the revenue team, and hold the bar on adoption rather than just publication., • Own the sales asset set (pitch narratives, vertical crib sheets, competitor attack material, case studies) and the agent tooling that drafts it, so sellers spend their time selling., • Measure enablement coverage and its link to win rate and productivity, feeding results into the commercial scorecard with Revenue Operations., • Clarity on where and how we win, evidenced in prioritised vertical and market choices that feed directly into GTM plans., • New and adjacent market bets tested, called, and either scaled or stopped., • A commercial scorecard the revenue team actually runs on, linking strategy to pipeline to revenue., • Certification completion before sellers carry a number., • Adoption of the playbooks and tooling (used, not just shipped)., • Measurable contribution to win rate and productivity per head., • A proven, evidenced track record in commercial strategy, GTM strategy or revenue/sales enablement in a B2B business, ideally payments or fintech., • Experience shaping commercial strategy: segment / vertical prioritisation, market entry thinking, and translating those choices into GTM execution., • Evidence of building playbooks and certification that measurably lifted seller performance., • Strong data and analytical skills; comfortable building the evidence behind a market or vertical bet., • A confident CRM user (ideally HubSpot), fluent in pipeline and deal‑stage logic., • Strong on adoption and change: you get commercial teams to use what you build., • Commercially credible with a sales floor, and comfortable holding a high standard., • A bar‑raiser who brings relentless intensity and lifts the standard of those around them., • Comfortable embedding AI/agent tooling into a commercial team., • Experience operating in a high‑growth or post‑merger / scaling environment., • The seniority and presence to lead a commercial function through transformation at pace, including leading, mentoring or building a team where the business needs it., • Background in strategy consulting, commercial finance or revenue analytics., • Content or creative fluency for producing sharp sales assets., • Experience with modern enablement tooling beyond HubSpot. Equals is committed to building a workplace where everyone can be themselves. We actively welcome different perspectives, backgrounds and experiences, and we'll work with you to understand what you need to do your best work. We're an equal opportunities employer and proud of it. We offer hybrid working across our teams, balancing time in the office - for collaboration, events and the relationships that make work rewarding - with the flexibility to work remotely where roles allow. #J-18808-Ljbffr

Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. As a Manager of Forward Deployed Engineering on Notion’s Services team, you will lead a team responsible for the hands‑on technical delivery of our most complex customer engagements. Your team will design, build, and deploy production‑ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You will combine people leadership, technical judgment, and customer‑facing delivery. You will coach Forward Deployed Engineers through discovery, architecture, implementation, and launch while remaining close enough to the work to guide difficult technical decisions, unblock delivery, and build trust with senior customer stakeholders. The team’s work includes custom code, production‑grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance. You will help establish how Services delivers complex technical implementations across EMEA. This includes building a high‑performing team, improving delivery standards and reusable technical assets, partnering with Sales, Product, CX, and Engineering, and turning lessons from customer deployments into product and platform improvements. • Lead, coach, and develop a team of Forward Deployed Engineers delivering complex enterprise customer engagements across EMEA., • Create a high‑performance team environment with clear expectations, strong technical standards, effective feedback, and meaningful career development., • Own the quality and outcomes of engagements from technical discovery and requirements gathering through solution design, implementation, launch, and handover., • Act as a trusted technical and delivery advisor to customer engineering, IT, security, and business leaders, helping them make informed architectural decisions and deepen their use of Notion., • Guide the design, build, and operation of custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows., • Oversee large‑scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, cutover, and post‑migration optimization., • Review technical designs and implementation plans, identify delivery risks early, and step in directly when an engagement requires senior technical leadership., • Partner with Sales and Services leaders on qualification, feasibility, scoping, effort estimation, staffing, and delivery planning for strategic opportunities., • Balance customer priorities, team capacity, and technical complexity to make sound staffing and sequencing decisions., • Help define and scale the operating model for Forward Deployed Engineering, including hiring, onboarding, delivery methodologies, quality reviews, documentation, and engineering best practices., • 8+ years of experience in forward deployed engineering, solutions engineering, professional services, customer engineering, software engineering, or a similar hands‑on technical role., • 2+ years of experience managing, coaching, or leading engineers responsible for customer‑facing technical delivery., • A strong track record of hiring, developing, and retaining high‑performing technical teams., • Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python, with the technical depth to review production‑quality code and guide implementation decisions., • Hands‑on experience with APIs, integrations, authentication, data transformation, and production systems., • Experience leading technical discovery, assessing feasibility, identifying risks, scoping work, estimating effort, and translating ambiguous requirements into executable plans., • Strong architectural judgment and debugging skills, with the ability to isolate root causes across code, APIs, permissions, integrations, data quality, automation logic, system limits, and customer‑specific environments., • Demonstrated success managing multiple complex customer engagements while maintaining quality, team health, and clear stakeholder communication., • Strong written and verbal communication skills, with the ability to influence technical and business audiences from practitioners through executive stakeholders., • A customer- and outcomes‑oriented approach, with sound judgment about when to standardize, when to customize, and how to manage tradeoffs., • Experience building or scaling a Forward Deployed Engineering, professional services, or customer engineering function in a startup or high‑growth environment., • Experience deploying AI agents in complex coding or business workflows., • Experience designing or implementing AI‑powered workflows involving MCP, APIs, LLM applications, prompt engineering, retrieval or RAG systems, or workflow orchestration., • Experience with ETL or ELT workflows, schema mapping, validation scripts, and large‑scale content or data migration tooling., • Experience partnering with product and engineering teams to influence roadmaps or architectural decisions based on customer implementation needs., • Experience supporting pre‑sales and early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, prototypes, and custom scripts., • Experience establishing technical delivery standards, quality review processes, discovery methodologies, or internal engineering tooling from the ground up., • A strong track record of successful enterprise implementations across multiple industries or regions. #LI-Onsite You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. #J-18808-Ljbffr

Job Role: Senior Forward Deployed Engineer Job Location: London, UK Experience: Mid-Senior Level Work Type: Hybrid / Open for full-time & Contract At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Client is building a small, senior team of Forward Deployed Engineers to design and ship agentic AI applications across our Corporate Functions - Finance, HR, Legal, Procurement, Marketing and Sales operations. You will be embedded directly with the people who own the process, taking a real business problem from idea to a working, production-grade solution in weeks rather than quarters. This is hands-on engineering. You will typically be the sole technical seat in a small pod alongside a process owner and a business sponsor, building applications that run multi-step workflows, hold state across many users, and act directly on enterprise systems of record. That is materially harder than a chatbot, and it is the point of the role. You will build on Microsoft Fabric as our enterprise data platform and on Azure AI services, and you will help set the technical patterns the wider team reuses. If you want to build serious AI systems that change how a 50,000-person business actually works, and you want the autonomy to do it properly, this is the role. • Design, build and harden agentic AI applications that read from and write to enterprise systems of record, grounded on Microsoft Fabric and Azure AI services., • Embed with a Corporate Function team as the technical lead of a small, multi-functional pod - moving from problem, to prototype, to production at pace., • Run a tight, iterative build cycle: align on the outcome, prototype, gather feedback, refine and finalize, typically within one to two weeks per loop., • Own the quality of what you ship end to end - security, reliability, scalability, observability, and safe, governed write-back to source systems., • Make the right build call for the problem: low-code and agent-builder platforms where they fit, custom code where they do not., • Ensure the data behind each solution is AI-ready - modelled, governed and documented in Fabric, with lineage and access control that will stand up to audit., • Set and document the reusable technical patterns, components and guardrails the team applies across every engagement., • Become credible in a new business domain quickly and challenge requirements constructively to land on the right solution rather than the requested one., • Proven experience building agentic or multi-agent AI systems that run in production and serve real users - working systems, not demonstrations., • Strong command of state management, concurrency, idempotency and authorization for systems that act on a system of record on behalf of many users., • Hands-on integration experience with enterprise APIs and data platforms, including designing safe read and write paths and handling failure gracefully., • Working knowledge of modern AI application patterns - retrieval-augmented generation, prompt and context design, agent orchestration, tool use and protocols such as MCP., • Strong, hands-on command of a major cloud platform, ideally Azure - able to independently provision, configure, deploy, secure and operate cloud resources, owning an application end to end rather than only consuming pre-built services., • Demonstrated ability to prototype rapidly, using AI-assisted development and fast iteration to turn a loosely defined idea into something usable in days., • The judgement and autonomy of a senior individual contributor - able to make sound architecture and feasibility calls alone, under time pressure, and explain them to non-technical stakeholders., • Direct experience with Microsoft Fabric - Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Power BI and OneLake - or a comparable enterprise data platform., • Experience with Microsoft Copilot Studio, Power Platform, Azure AI Foundry, or agent-builder platforms such as Lyzr or Moveworks., • Integration experience with major Corporate Function systems of record - for example Oracle HCM, SAP, Workday, Salesforce, Dynamics 365 or ServiceNow., • Familiarity with enterprise governance concerns: identity and access management, data classification and residency, responsible AI policy, and evaluation of model output., • A background that blends software engineering with consulting, business transformation or a Corporate Function discipline., • Experience delivering in short, iterative cycles directly with non-technical business stakeholders., • A practical build exercise: take an ambiguous business problem to a working agentic prototype and explain your design trade-offs., • A systems design discussion covering state, concurrency, authorization and safe write-back to a system of record., • A stakeholder conversation testing how you scope, challenge and communicate with a non-technical business owner. #J-18808-Ljbffr

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details 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. About Salesforce Salesforce brings customer data, CRM, analytics, and AI together on a trusted platform. Our teams help organizations turn complex business and data requirements into secure, scalable solutions. In this role, you will help customers put Data 360 into production and build the technical foundation for reliable, enterprise-grade use cases. About the Role Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce’s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build. You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff. This is a hands-on data and software engineering role. You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it. What You'll Do Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls. Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric). Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes. Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents. Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents. Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems. Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies. Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error. Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead. Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value. Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support. \u201cYou're Our Data 360 Forward Deployed Engineer\u201d If... You have 5+ years of experience in software engineering, data engineering, or technical implementation, including a production data solution you can explain in detail. You have a bachelor's degree in Computer Science or equivalent practical experience. You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks. You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed. You understand data modeling, APIs, integration patterns, batch and streaming processing, and the practical differences between copied, federated, and Zero Copy data access. You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance. You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication. You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases. You diagnose technical problems methodically, use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result. You can implement against a documented architecture, explain what you built to customer technical teams, and recognize when a question requires an architect or security owner. You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments. You are excited to work directly with customer administrators, developers, data engineers, and architects. You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform. Unleash Your Potential 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. 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. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. 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

Based within the Cloud & Engineering Practice, the Lead Technical Architect role is accountable for driving the growth of our architecture capability while supporting client deliveries and providing technical assurance to our engineering teams. We’re looking for technical leaders who can work closely with client stakeholders and our delivery teams to help shape, design and deliver predominantly cloud-based architectures. They will also provide architecture oversight and help clients to develop and evolve their technical strategy. People in this role primarily work consultatively and are expected to build relationships with clients across our industry verticals, ranging from Central Government to Health and Local Government. Identification of growth opportunities for existing accounts and new clients is also a key responsibility. Responsible for helping to ensure the successful delivery of high quality technical outcomes for our clients: • Taking responsibility for understanding client requirements and communicating between technical teams and the business., • Align your team’s work with department and government technology strategy, participating in strategic technical decisions and challenging previous decisions where needed., • Be responsible for technical design and development of public services of various sizes, how they interact with their surroundings (including other projects, teams and organisations), and how they evolve over time., • Be responsible for ensuring non functional requirements are identified and delivered, particularly relating to security and operability in the cloud., • Challenge entrenched practices and influence decision makers, and look for deeper underlying problems to solve, and larger opportunities for digital transformation., • Facilitate workshops and other collaborative activities leveraging lean and agile techniques with both your team and the client to ensure the service architecture meets user needs and enables business goals., • Provide technical leadership to our delivery teams and strategic architectural advice to clients. Responsible for driving growth: • Shape and deliver opportunities on client accounts by providing expert engagement as a trusted technical leader., • Provide pre-sales support on bids by calling on technical experience to confidently address stated client needs., • Shaping and drafting responses and supporting proposal presentations to existing or new clients to help add value and credibility and maximise successful bid outcomes., • Provide thought leadership through supporting marketing initiatives, writing blog posts, speaking at events, etc., • Working with and in account teams to build strong client relationships and find additional growth opportunities. Responsible for providing support to Made Tech colleagues and promoting better understanding and integration of technical architecture across Made Tech: • Leading and championing the practice across Made Tech through community of practice involvement and by coaching and mentoring more junior team members., • Presenting learnings to the Software Engineering Community of Practice., • Supporting and briefing our client partners to help them better understand our technical propositions with the goal of identifying additional opportunities., • Line management of more junior colleagues to support their development, pursuit of career goals and management of their overall performance., • Help build and maintain a diverse, inclusive culture across the development community, growing awareness, inclusivity, and balance. Responsible for assuring the quality of technical deliveries: • When not actively working with clients, being available to delivery teams to provide architecture support and guidance., • Reviewing architecture quality at various checkpoints throughout a delivery’s lifecycle. Prioritise a positive employee experience: we invest in ensuring we maintain a positive employee experience. Where constraints or controls are necessary ensure these do not overly encumber people delivering for our clients, where policies are required ensure these are lightweight, jargon free, relevant and “just enough”. Align to commercial goals: we understand and align improvements to the commercial goals of the business. Ensure all prioritised activities can be related back to the commercial benefit they will deliver. Facilitate commercial growth wherever possible. Value close collaboration: we collaborate and work with colleagues across the business in a positive and supportive way. Help foster a culture of continuous improvement by offering both constructive and reinforcing feedback. Be part of the solution. Empower teams to deliver outcomes. Take a pragmatic approach: we appreciate that as a rapidly growing business we sometimes need to make uncomfortable tradeoffs. We balance risk and reward appropriately, and seek to make the right decisions to enable the business to achieve its long‑term vision. If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to chat to each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you’d like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Specialist know. The groups are: • disability, • lgbtqiaplus-allies-and-activists, • women-in-tech We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We’re also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: • 30 days Holiday - we offer 30 days of paid annual leave, • Flexible Working Hours - we are flexible with what hours you work, • Flexible Parental Leave - we offer flexible parental leave options, • Remote Working - we offer part time remote working for all our staff, • Paid counselling - we offer paid counselling as well as financial and legal advice An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' continuous UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. #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

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. We are seeking a Performance Lead – Booking Assistance to drive conversion performance and enhance customer experience across our global outsourced operations. In this role, you will bridge strategy and frontline execution to foster operational excellence across our BPO partner network. By combining strong leadership with sharp commercial acumen, you will establish robust governance, develop agent capabilities, and align vendor partners with our growth and satisfaction goals. The ideal candidate is a data-driven problem solver skilled at turning operational analytics into actionable insights and product improvements. You will analyse conversion funnels, identify drop-off causes, and partner with Service Excellence, Product, Tech, and Data teams to reduce booking friction. Whether shaping AI roadmaps or leading experiments, your ability to influence stakeholders and champion customer-first innovation will directly boost conversions and improve the booking journey. Job Location: Hybrid This role is a hybrid position that requires 1-2 days per week in our London office. Drive Booking Conversion: Rigorously track and analyse funnel performance to unlock incremental conversion growth and deliver measurable revenue impact across outsourced channels. Lead Vendor Excellence: Partner with BPO leadership to establish accountability, execute targeted performance improvement plans, and elevate frontline agent capabilities. Diagnose Root Causes: Conduct deep-dive analyses to isolate key conversion blockers across product features, operational processes, supply availability, pricing, and agent execution. Optimize Customer Journeys: Translate frontline customer insights into concrete improvement initiatives, collaborating cross-functionally with Product and Supply to eliminate journey friction. Champion AI & Automation: Co-design and implement next-generation AI tooling with Product and Tech teams, integrating Agent Assist, smart routing, and personalized support capabilities. Pioneer Operational Experiments: Design, launch, and evaluate pilot projects and A/B tests to validate conversion enhancements and scale high-impact strategies across networks. Deliver Strategic Insights: Synthesize complex data into clear, compelling executive narratives that explain drivers, trends, and action plans to key stakeholders. Mobilize Cross-Functional Teams: Champion resolution of complex operational blockers by aligning executive sponsors, product owners, and vendor partners toward common goals. Proven track record (5+ years) driving operational execution, sales/conversion growth, or performance management in customer-centric environments. Bachelor's degree in Business, Operations, Economics, or equivalent practical industry experience. Demonstrated expertise in managing outsourced BPO operations, holding vendors accountable, and driving continuous capability improvements. Expert command of conversion funnel metrics, operational SLAs, and customer behavior modeling. Strong analytical capability to perform root-cause analysis and translate raw operational data into actionable strategic programs. Proven ability to lead cross-functional initiatives and influence Product, Engineering, and Supply stakeholders without direct authority. Uncompromising customer-first mindset balanced with sharp commercial awareness. Commercial Mindset: Strong understanding of conversion and ability to connect operational performance with booking outcomes. Data Driven: Ability to use data to generate insights, identify root causes and prioritise opportunities. Vendor Leadership: Ability to influence BPO leadership, challenge performance and drive accountability. Strategic Thinking: Able to look beyond agent performance and identify wider customer journey, product and process opportunities. Experimentation: Strong test-and-learn/A-B testing mindset with the ability to measure impact. AI & Technology: Understanding of how AI, automation and Agent Assist can improve customer journeys and frontline performance. Industry: Experience within Travel, e-commerce or a marketplace environment. • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses, • “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team., • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work., • Donation matching. Give back? Give more! We match qualifying charitable donations annually., • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs., • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you., • Travel perks. We believe that travel is employee development, so we provide discounts and more., • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges., • Health benefits. We offer great coverage and competitive premiums., • Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers! #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

Senior Technology Architect-Enterprise Architect/Segment lead-UK AI-First Solutioning, Human + Agent Ways of Working & Large-Scale Modernisation This is a senior strategic role within the Enterprise Strategic Architecture practice, focused on defining and delivering next-generation digital transformation programs for leading global organisations. The successful candidate will bring together deep technology expertise and strong business acumen to help clients navigate complex, large-scale modernisation initiatives. As AI becomes central to how enterprises transform, this role is expanding in scope: the architect must be equally comfortable designing cloud-native platforms, structuring human and agent collaborative workflows, and embedding AI-driven capabilities as first-class components of the overall solution. You will collaborate closely with sales and delivery teams across the full program lifecycle — from shaping solutions during presales through to governing technical quality in delivery. You will engage with CDOs, CTOs, and senior digital leaders at client organisations, contribute to industry thinking through published viewpoints and speaking engagements, and play an active role in identifying emerging technology opportunities that can be developed into compelling propositions for the market. • Strategic Thinking- Candidate can articulate where AI agents replace human tasks vs. augment them in a $10M+ transformation context. Can draw a human+agent operating model for a business process — showing handoff logic, oversight points, and accountability chains. Understands that LLM inference is now a line item in program budgets and can estimate it at ROM level for a given use case volume., • Design Depth- Has personally designed or reviewed an agentic system in production — e.g. a multi-step reasoning pipeline, an autonomous code review agent, or a RAG-powered enterprise knowledge layer. Can explain prompt architecture decisions (system prompt structuring, context compression strategies, few-shot vs. zero-shot tradeoffs) and how these affect both quality and cost. Understands model selection tradeoffs — when to use frontier models vs. fine-tuned smaller models vs. cached completions., • Token Optimization Fluency- Has operationalised token efficiency at scale — structured prompt libraries, semantic caching, chunk sizing for RAG pipelines, output length controls, batching strategies. Can model cost-per-transaction for an AI-enabled workflow and present that as part of a business case. Understands how token spend interacts with context window limits across model families (GPT-4o, Claude, Gemini) and can make architecture trade-offs accordingly. AI-First Solutioning, Human + Agent Ways of Working & Large-Scale Modernisation This is a senior strategic role within the Enterprise Strategic Architecture practice, focused on defining and delivering next-generation digital transformation programs for leading global organisations. The successful candidate will bring together deep technology expertise and strong business acumen to help clients navigate complex, large-scale modernisation initiatives. As AI becomes central to how enterprises transform, this role is expanding in scope: the architect must be equally comfortable designing cloud-native platforms, structuring human and agent collaborative workflows, and embedding AI-driven capabilities as first-class components of the overall solution. You will collaborate closely with sales and delivery teams across the full program lifecycle — from shaping solutions during presales through to governing technical quality in delivery. You will engage with CDOs, CTOs, and senior digital leaders at client organisations, contribute to industry thinking through published viewpoints and speaking engagements, and play an active role in identifying emerging technology opportunities that can be developed into compelling propositions for the market. • Strategic Thinking- Candidate can articulate where AI agents replace human tasks vs. augment them in a $10M+ transformation context. Can draw a human+agent operating model for a business process — showing handoff logic, oversight points, and accountability chains. Understands that LLM inference is now a line item in program budgets and can estimate it at ROM level for a given use case volume., • Design Depth- Has personally designed or reviewed an agentic system in production — e.g. a multi-step reasoning pipeline, an autonomous code review agent, or a RAG-powered enterprise knowledge layer. Can explain prompt architecture decisions (system prompt structuring, context compression strategies, few-shot vs. zero-shot tradeoffs) and how these affect both quality and cost. Understands model selection tradeoffs — when to use frontier models vs. fine-tuned smaller models vs. cached completions., • Token Optimization Fluency- Has operationalised token efficiency at scale — structured prompt libraries, semantic caching, chunk sizing for RAG pipelines, output length controls, batching strategies. Can model cost-per-transaction for an AI-enabled workflow and present that as part of a business case. Understands how token spend interacts with context window limits across model families (GPT-4o, Claude, Gemini) and can make architecture trade-offs accordingly., • Agentic architecture design Multi-agent orchestration, tool-use design, human in-the-loop checkpoints, agent failure modes and recovery, • Human + agent workflow design Task decomposition across human and AI agents; escalation paths; accountability mapping in regulated environments, • Expertise in leveraging coding agents — GitHub Copilot, Claude, Devin.ai and similar — to accelerate software delivery within a structured, governed engineering lifecycle, • Design and governance of automated delivery pipelines using tools such as Harness, GitHub Actions, ArgoCD and Tekton; trunk-based development, progressive delivery and release automation, • Full-stack application development Architecture and delivery of modern full-stack applications; proficiency across frontend frameworks, API layers, backend services, and data tiers at enterprise scale, • Modern CI/CD & delivery pipelines Design and governance of automated delivery pipelines using tools such as Harness, GitHub Actions, ArgoCD and Tekton; trunk-based development, progressive delivery and release automation, • High-scalability integration Architecting event-driven and streaming integration at scale using Apache Kafka and Kafka Streams; asynchronous messaging patterns, schema registries, and real-time data pipelines across distributed systems, • NoSQL & enterprise data platforms Design of polyglot persistence architectures spanning NoSQL stores (MongoDB, Cassandra, DynamoDB), enterprise caching layers (Redis, Hazelcast, Memcached) and search platforms (Elasticsearch, OpenSearch), • Hyperscaler resilience patterns Building highly available, fault-tolerant solutions on AWS, Azure and GCP — multi-region active/active, chaos engineering, SRE practices, availability zone failover, and disaster recovery at cloud scale, • Token economies & LLM costing Prompt compression, context window sizing, model tier selection, cost-per-transaction modelling at enterprise scale, • AI TCO & commercial modelling Inference cost projections, build-vs-buy for foundation models, ROI framing for AI-augmented delivery, • Digital transformation leadership AI-native program design spanning cloud, integration, agentic capability layers and responsible AI governance, • Enterprise integration patterns Streaming, API, event-driven and real-time patterns extending to RAG, vector stores, embedding services and LLM APIs as first-class integration nodes, • Chief Architect leadership Governing cross-domain architect teams while managing AI risk, hallucination mitigation and responsible AI policy at program level, • Multi-cloud architecture (15+ yrs) Hybrid IaaS/PaaS, multi-az/region, IaC automation first, DevSecOps, K8s orchestration, • Influencing & stakeholder leadership Builds and sustains networks across organisational boundaries through credibility and influence rather than authority; aligns diverse stakeholders — engineering, business, and executive — around a shared technology direction and drives teams to deliver outcomes in complex, matrixed environments, • CXO communication Articulates at the right level of abstraction and detail from developer to board level, • Influencing & stakeholder leadership Builds and sustains networks across organisational boundaries through credibility and influence rather than authority; aligns diverse stakeholders — engineering, business, and executive — around a shared technology direction and drives teams to deliver outcomes in complex, matrixed environments, • Should be excellent planner when it comes to perform release planning and other delivery planning., • Should have excellent problem-solving skills, • Responsible for Coaching and mentoring team members, • BFSI/FS Domain exp Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: • High analytical skills, • High customer orientation, • High quality awareness Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. “All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.” #J-18808-Ljbffr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building large-scale data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at significant scale. By joining Meta, you will become part of a data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Engineer, Product Analytics Responsibilities:Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systemsCreate and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolveCollaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful wayDefine and manage Service Level Agreements for all data sets in allocated areas of ownershipDetermine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownershipDesign, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domainsSolve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sourcesAssist in owning existing processes running in production, optimizing complex code through advanced algorithmic conceptsOptimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifactsInfluence product and cross-functional teams to identify data opportunities to drive impactMentor team members by providing actionable feedbackMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions4+ years of experience (or 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)Preferred Qualifications:Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMaster's or Ph.D degree in a STEM fieldAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr

Do you enjoy driving the software strategy for complex software systems? Digital Business Solutions (DBS) delivers innovation and solves customer and business problems by leveraging the power of technology, data, and — increasingly — AI. We partner with sales and service stakeholders to deliver frictionless case management, self-service, and partner/customer-facing experiences, applying AI-driven automation — including Agent force and Einstein capabilities — where it measurably improves efficiency, personalization, and customer outcomes. We provide the expertise to understand business challenges and translate them into practical, scalable, and responsible solutions. This position performs moderately difficult research, design, and software development assignments within the Salesforce ecosystem, with a focus on Service Cloud, Experience Cloud, and AI-powered solutions (Agent force, Einstein, and related generative/predictive AI tooling). The position should have the ability to work on individual pieces of work and solve problems including the design of program flow for Apex, Lightning Web Components (LWC), and integration logic, effective coding, and unit testing (Apex test classes, Jest for LWC). • Interface with business analysts, product owners, and other technical personnel to finalize requirements for Service Cloud, Experience Cloud, and AI-driven features, • Write and review portions of detailed specifications for the development of system components of moderate complexity, including Apex classes, LWC components, Flows, and integrations, • Work closely with other development team members to understand moderately complex product requirements and translate them into scalable Salesforce solutions, • Design, build, and maintain Service Cloud capabilities (case routing, Omni-Channel, Knowledge, automation) that support large-scale support operations, • Design, build, and maintain Experience Cloud portals and self-service experiences for internal and external users, • Evaluate, prototype, and implement AI-powered enhancements (e.g., Agent force agents, Einstein features, prompt-based automation) to improve case deflection, agent productivity, and user self-service, • Successfully implement development processes, coding best practices, and code reviews aligned with Salesforce platform governance and release management standards, • Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders, including DevOps/release management and admin teams for adjacent platforms, • Resolve technical issues as necessary, including Level 2/3 escalations from support teams, • Keep abreast of new Salesforce releases (three annual platform releases) and emerging AI capabilities relevant to Service and Experience Cloud, • Complete bug fixes and participate in on-call or escalation rotations as needed, • All other duties as assigned, • Proficiency with Apex, SOQL/SOSL, and other data manipulation languages within the Salesforce platform, • Understanding of Salesforce data modeling principles, including object relationships, sharing rules, and large data volume (LDV) considerations, • Ability to work with complex, multi-org data models and integrations (e.g., MuleSoft, REST/SOAP APIs, Platform Events), • Proficiency in development languages including but not limited to: Apex, JavaScript, Lightning Web Components (LWC), Aura, HTML, XML, SQL, and SOQL; familiarity with Java/J2EE, C/C++, .Net a plus for integration work, • Hands-on experience configuring and extending Service Cloud (Case Management, Omni-Channel, Service Console, Knowledge, CTI integrations), • Hands-on experience building and customizing Experience Cloud sites (LWR/Aura templates, community components, guest user security, self-service portals), • Working knowledge of Salesforce AI capabilities —Agent force agents, Einstein Bots, Prompt Builder, Einstein Case Classification/Reply Recommendations, and how to responsibly integrate generative AI into service and self-service workflows, • Familiarity with industry best practices for code coverage and Salesforce release governance (sandboxes, change sets, CI/CD via Copado/Gearset/SFDX), • Ability to work well with internal and external technology resources, including business analysts and third-party ISV vendors, • Ability to write and review portions of detailed specifications for the development of system components of moderate complexity, • Knowledge of software development methodologies (e.g., Agile, Waterfall), • Knowledge of data storage subsystems, including Salesforce storage limits, Big Objects, and archiving strategies, • Knowledge of test-driven development and Salesforce testing frameworks (Apex unit tests, Jest, Salesforce DX scratch orgs), • Ability to complete moderately complex bug fixes and root-cause analysis across declarative (Flow) and programmatic (Apex/LWC) automation, • Good oral and written communications skills, including the ability to explain technical trade-offs to non-technical stakeholders, • 3+ years of Software Engineering experience, including hands-on Salesforce development, • BS Engineering/Computer Science or equivalent experience required, • Salesforce Platform Developer I certification required; Platform Developer II, Service Cloud Consultant, or Experience Cloud Consultant certification a plus, • Experience with AI features within Salesforce (Agent force, Einstein Copilot/Bots, Prompt Builder, Einstein for Service) preferred We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and 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. At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Group Health Insurance Policy (covering self and family), • Group Life insurance/accident policy, • Generous long-service awards, • New Baby gift, • Subsidized food provided (applies to India - Chennai), • Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave, • Free Transport provided to and from the office (applies to India - Chennai) 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 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. 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. USA Job Seekers: EEO Know Your Rights. #J-18808-Ljbffr

Lead Solutions Consultant, EMEAOutreachLondon (Hybrid)Full-timeAI tools:AmplifyKaiaResearch AgentUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis lead solutions consultant supports complex enterprise sales pursuits across EMEA, advising executives and translating business processes into Outreach solutions. The role leads discovery, demonstrations, and proof-of-value work, while coaching other consultants and shaping scalable sales assets. Permanent Hybrid 7+ years in pre-sales or solution consulting; 3+ years in Sa### Skills and expertiseSalesforceSeismicZoomInfoSnowflakeMEDDPICCDemo2WinData architectureAutomation### Key responsibilities Own technical strategy, discovery, solution design, and value articulation for enterprise deals. Lead outcome-based demonstrations and proof-of-value engagements for customer stakeholders. Coach Solutions Consultants and create reusable demo assets, playbooks, and solution stories.## How this job comparesCompared with 66 open lead sales jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 66 open lead sales jobs at 42 companies.Remote work: This job is hybrid. 11 of the 66 lead sales jobs (17%) are remote.AI in this role: Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role regularly demonstrates Outreach’s AI agents and explains AI applications in sales productivity and revenue workflows. Its main focus is solution consulting and enterprise sales, not building AI systems.## Full descriptionAbout OutreachOutreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.About the TeamThe Solutions Consulting team is an integral part of Outreach’s Go-To-Market function. We focus on driving measurable business impact for prospects and customers by being both domain experts and trusted advisors. We partner deeply across Sales, Product, Customer Success, and Professional Services to architect solutions that help revenue teams unlock the full potential of Outreach.As a Lead Solutions Consultant, you’ll play a pivotal role in advancing the sophistication and effectiveness of the EMEA regions’ upper segment sales motions. You’ll operate as both a top-performing individual contributor and a multiplier for others, shaping how Outreach wins in the most complex customer environments.The RoleWorking in a fast-growth environment means no two days are the same. As a senior member of the EMEA SC organization, you will lead complex enterprise pursuits, elevate team capability, and drive cross-functional excellence.LocationShoredicth, London - Hybrid, in office 2 days per week.Your Daily Adventures Will Include• Acting as a strategic advisor to executive stakeholders (CROs, COOs, CTOs, VPs of RevOps, etc.), influencing vision and technical direction for enterprise customers.• Owning the technical strategy for high-value, multi-threaded deals, driving discovery, solution design, and value articulation aligned to customer initiatives.• Leading engaging, outcome-based demonstrations and Proof of Value (POV) engagements that connect Outreach’s capabilities to business outcomes.• Partnering with AEs to craft win strategies using MEDDPICC, Demo2Win, and value-selling frameworks.• Translating complex business processes into scalable, ROI-driven solutions and clearly articulating “the art of the possible” through Outreach’s platform and AI agents (Amplify, Kaia, Research Agent).• Building credibility as a subject matter expert in revenue execution, pipeline management, and AI innovation.• Acting as a mentor and deal coach to Solutions Consultants, providing feedback and guidance on demo execution, discovery, and strategic selling.• Collaborating with Product, Engineering, and Enablement to influence roadmap priorities and build differentiated enterprise narratives.• Creating and maintaining scalable demo and POV assets, vertical playbooks, and industry-specific solution stories.• Representing Outreach as a thought leader through webinars, customer roundtables, and industry events.Our Vision of You• Experience: 7+ years of pre-sales or solution consulting experience, with 3+ years in SaaS enterprise environments focused on CRM, sales execution, or revenue orchestration technologies.• Enterprise Mastery: Proven success leading multi-stakeholder sales cycles, designing integrations such as: Salesforce, Seismic, ZoomInfo, Snowflake, etc., and influencing C-suite alignment.• Strategic Problem Solving: Ability to diagnose complex customer environments and translate them into clear, measurable solutions.• Exceptional Communication: Comfortable facilitating executive conversations, leading whiteboard sessions, and delivering compelling demos tailored to diverse personas.• Technical & AI Acumen: Combines strong technical and commercial acumen, with expertise in data architecture, automation, and AI applications that drive measurable improvements in sales productivity and revenue growth. #J-18808-Ljbffr

Humaans is building the next generation of infrastructure for the workplace; software designed for companies that are scaling fast, operating globally, and pushing into new boundaries. What started as a system of record has evolved into a broader platform for operating people globally. With Athena, our agentic AI layer, Humaans moves beyond data management into intelligent orchestration, connecting workflows across HR, IT, Finance, and Operations so organisations can act faster and with greater confidence, redefining how work gets done. We work with ambitious teams across Europe and the US, from AI-native companies to established, high-growth organisations scaling internationally and through acquisition. These teams don’t buy software for features, they buy leverage. The ability to run faster, cleaner, and with more control as complexity compounds. To date, we’ve raised $20m in venture funding from some of the most respected founders, operators, and funds in technology. If you have massive ambition and want to work on a hard problem, with a small team that moves fast, at a moment when the category is genuinely up for grabs - this is it. Revenue teams used to scale by adding people. Now they scale by building systems. We're looking for a GTM Engineer to own the infrastructure behind how Humaans finds, engages, and converts customers, turning our go-to-market strategy into automated systems that run at scale. This is a builder role, not a reporting role. You'll sit between RevOps, Sales, and Marketing and own the connective tissue: the data pipelines, enrichment workflows, signal detection, lead scoring, routing, AI agents, and outbound infrastructure that decide which accounts we pursue, what we know about them, and what happens next. When a process is manual, slow, or rep-dependent, you replace it with a system. Your output scales non-linearly, because the system does the work, not the headcount. Our GTM stack runs on HubSpot as the system of record, with Clay as the orchestration layer wiring together dozens of data providers, enrichment sources, AI models, and our own internal tools into automated workflows. You'll have dozens of tools at your disposal to build with, from enrichment and outbound platforms to call intelligence, AI coding tools, and our own internal tooling, plus the latitude to add new ones when they earn their place. We obsess over clean data and reliable systems, and we move fast by building on high quality foundations rather than stacking fragile workarounds. Own the data foundation: keep our CRM trustworthy with automated enrichment, hygiene routines, and clear ownership rules Build enrichment and scoring workflows that turn raw firmographic and signal data into ranked, ready-to-action target lists Design signal-based plays: detect the right buying signals and events as they happen, then trigger the right outreach at the right moment Own cold email as our primary outbound channel: build and protect the sending infrastructure, manage deliverability and inbox health, personalise at scale, and instrument it so you're the first to know when something breaks Deploy AI agents for research, personalisation, and CRM updates, with guardrails that protect quality and brand Connect our GTM tools through their APIs, deciding what the source of truth is for each field and how data flows between systems Launch new outbound campaigns continuously, run structured tests, read the results, and feed what you learn back into the system so it keeps improving Partner with SDRs, AEs, and leadership to find bottlenecks, ship solutions in days, and scale what works Design structured tests with defined success metrics up front, kill what underperforms fast, and double down on what works Treat copy as a testable variable: systematically test subject lines, opening angles, and CTAs, then roll winners back into templates and agent prompts Operate at volume: manage thousands of leads flowing through the system every day without letting data quality or targeting slip Systems thinker with a commercial bias: you judge every workflow by whether it actually helps close a deal Copywriting backed by testing: you write outbound that books meetings and prove it through reply and positive-reply rates rather than opens Hands-on experience with a modern GTM stack (Clay or equivalent, HubSpot or Salesforce, plus enrichment and sequencing tools) Comfortable enough with SQL and a scripting language (Python or JavaScript) to solve problems independently; reading API docs, handling auth, and chaining calls doesn't scare you Fluent with AI coding and automation tools (Claude Code, Cursor, n8n, Zapier) and able to build, test, and ship agents and workflows end to end Strong understanding of the outbound motion: ICP definition, lead scoring, deliverability, and what good outreach actually requires Experimental mindset: you validate signals, measure everything, and turn feedback loops into better systems You learn by tinkering. Background matters less than a track record of building things revenue teams actually use Many of the best GTM Engineers come from SDR, RevOps, growth, or product backgrounds. If you've been the person quietly wiring Clay into your CRM and automating your own pipeline, this is the role for that instinct. This is an in-person role. Our GTM team comes together in the office Monday through Thursday, while most of the team collaborates in person on Mondays, Tuesdays, and Thursdays. This is an in-person role. Our team comes together in the office Monday through Thursday, while most of the team collaborates in person on Mondays, Tuesdays, and Thursdays. Early stage startups can be messy – we know that. We're putting effort in providing you with the best employee experience and a quality driven environment in exchange for trusting us. Market-leading compensation that reflects your value 25 days paid time off each year plus public holidays Share Options with 5-year exercise window so you don't feel pressure to exercise if you leave Free Thursday lunches at HQ, quarterly team events, and company offsites. Top tier private coverage for health, vision and dental care A new MacBook and tools you need to do your best work Enhanced parental leave with up to 16 weeks for primary and 4 weeks for secondary Learning & development budget HR tech is having its AI moment and we're positioned to own it. Humaans started as a next-gen HRIS taking on large incumbents in a massive market. We've since evolved into something even bigger: an AI platform that sits across workforce data and automates the operational layer of HR entirely; the natural progression of what we've been building toward. The product is highly differentiated. It\’s built around a structured workforce data model that makes AI reliable in an HR context, something no one else has gotten right. Customers notice the difference immediately. We\’re backed by Y Combinator, Lachy Groom, Moonfire, Frontline Ventures, and operators who\’ve built some of the most consequential software companies of the last decade: the founders of Slack, Figma, and Shopify, and Asana\’s former CRO and Head of OpenAI International. We\’re a small team with an unapologetically high bar. It shows up in the product, in how we communicate, and in the standards we hold each other to. At Humaans we\’re looking for genuinely good people that are transparent and emphatic. We\’re committed to providing equal opportunities, a diverse and inclusive work environment, and ensuring a fair interview process for everyone. You\’re welcome to apply no matter your gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. We care about your privacy. When you apply for a role at Humaans, we\’ll collect and process your personal data as part of our recruitment process. This includes things like your CV, contact details, and any other information you choose to share. We may also contact you about future opportunities. You can ask us to delete your data at any time. For more details, see our Privacy Policy. #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? 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 Enterprise Account Executives., • This role is focused on selling into global enterprises 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 early enterprise motion is working. We are generating strong demand and building pipeline within large organisations., • You’ll 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 Enterprise businesses out there (5,000+ employees), 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., • 3-7 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. We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. • Salary: £140k-£200k 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 Enterprise 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

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As an Applied AI Engineer on our Digital Native Business team, you'll help fast-growing, tech-forward companies build their products on Claude. You'll be the technical advisor their engineering teams turn to for architecture, agent design and evaluation, and you'll work alongside them, pair programming and reviewing architectures, to get from first prototype to production at scale. You’ll partner with Account Executives and Applied AI Architects to take each customer from first conversation through technical evaluation and proof of value to a confident decision to build on Claude, then stay close as they ship and scale. These customers move quickly and expect you to have built things yourself, so you’ll be at your best in the code and the architecture review, not just the meeting. Alongside Anthropic's Product and Engineering teams, you'll develop custom evaluation frameworks, prototypes and reference architectures, and turn what you learn across engagements into technical content and product feedback that helps other builders succeed with Claude. • Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI, • Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development, • Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams that enable customers to build and scale with Claude, • Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements, • Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team, • Create technical content for developer audiences including documentation, tutorials, and sample code, • Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events, • Travel to customer sites for workshops, implementation support, and relationship building, • 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder, • Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions, • Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, • Strong programming skills with proficiency in Python and experience building production applications, • Experience working with high-growth, tech-forward companies, • Ability to context-switch across industries (healthcare, fintech, etc.) and use cases, • Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience, • Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans, • Experience facilitating technical workshops, hackathons, or developer-focused events, • Passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. £225,000 — £255,000 GBP • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience, • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience, • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position, • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices., • Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this., • We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. #J-18808-Ljbffr

You are the first human a London landlord speaks to. We generate the demand — paid inbound, portal activity, lead ads pre-qualified by our own AI agent, cold email, leaflets, referrals — and you turn it into signed instructions. Landlords rarely arrive asking for a named product; they arrive with a problem — an agent they've had enough of, a property they can't get to, a tenancy they don't want to run. Your first job is to work out which of our services solves it, and say so. Valuations, viewings, photography and key handovers sit with operations, so your day is conversations, offers and closes. This is one role across four rungs, levelled on the scope you own rather than years served. At BDC you work the company lead feeds from the desk: qualify, put a number in front of the landlord, close instructions across the range. At Senior BDC you take the harder pipeline — portfolios, agent switches, the deals that need pricing judgement. At BDM you own the close, the price and the commercials, with your own sourcing on top of the feeds. At Senior BDM you carry the largest number and own retention. The first call. Every new lead lands as a task with your name on it. You call it the day it lands, and you get to the landlord's real constraint — money, distance or hassle — before you pitch anything. The routing decision. DIY, Placed, Managed or Secured — you decide which tier fits the property and the landlord, and you answer for the ones routed wrong. The number. A figure is the hook; a brochure isn't. You give the landlord what they'd achieve and what they'd take home on each route — and you answer the two objections that lose deals on the same call: price (net income across the whole term, not a headline rent) and trust ("is this rent-to-rent", "will I get my property back" — answered from the agreement). Your pipeline, in the CRM. Outcome logged, lead status set, next step dated — before you finish the call. A lead with no next step is a lead we've lost. The close and the price. First conversation → assessment → offer → signed agreement, without being chased through it, then the renter offers that decide what the property actually lets for. You recommend the figure and defend it, knowing the company lives with it for the full term. The commercials, and your own sourcing. Fee, term and let price on a Managed instruction; the spread on a Secured one. You answer for what the deal earns, not just that it closed. Company feeds are a floor: portfolio landlords, agent switches and referrers you build yourself sit on top. Senior BDM: retention. Re-signing a landlord is worth more than finding a new one. You own the renewal number and the save. We sell the outcome, not the product. Rent that arrives, a tenancy that runs itself, compliance that never lands on the landlord — then route to the tier that delivers it and price it properly. We're honest — about the trade and about what we're on the hook for. Every tier asks something of the landlord and gives something back. No subletting, no company lets, no short lets; the landlord stays the landlord. Said plainly, that wins more than overselling — and filters out the price-shoppers who are our biggest single loss reason. We price on evidence. Comparables, condition, void risk and the renter market decide the figure — not how badly you want the instruction — and nothing gets promised that the valuation won't support. AI does the prep, you do the selling. Property and market research, call notes, follow-up drafts and pipeline hygiene are increasingly automated. We expect you to use that, not to type around it. Experience. BDC: ~1-2 years in a target-driven, phone-led sales role. BDM / Senior BDM: ~2+ years closing your own deals — consistently at or above quota, with a number you can evidence. Lettings or BTR instruction-winning strongly preferred; estate agency or another consultative, high-volume sales background considered. Grit and a desire to win. You make the last call of the day sound like the first, and a bad week makes you dial more, not less. You run your own pipeline properly — dated next steps, clean CRM, nothing dropped — and you can cold-call without warming up first. Current lettings market and the regulation around it, including what the Renters' Rights Act changed for voids, notices and renewals, or you can learn it inside a month. BDC: you can work a company lead feed at volume and handle a "no" in one move. Senior BDC: a record of closing in a complex, priced product, and of lifting the reps around you. BDM: commercial judgement on price — you can hold a figure, walk away from a bad one, and explain both — and you self-source: given a patch and a phone, you build pipeline. Senior BDM: you've carried the largest number on a desk and owned renewals or retention. Guaranteed rent, rent-to-rent or corporate lettings — including knowing why we're structured differently. Portfolio landlord, block or relocation-agency relationships in London. HubSpot, or another CRM you ran properly rather than tolerated, and comfort with your own reporting. Being early on a desk that then scaled. You want to win. You count your own numbers, you know where you sit on the desk, and being behind bothers you until it isn't true any more. You call. The best rep here isn't the most articulate one, it's the one who dials. You'd rather lose fast than write a bad deal. A maybe you nurse costs a week; a mispriced property is a multi-year problem. You protect the margin as if it were yours, on the landlord side and the renter side. You'll be a critical human in an AI-Native company optimised for efficiency. We believe homes will be run more efficiently and at a higher quality for customers with AI, and we're building the platform that will run all rental properties end-to-end, starting with London. We've raised a $4m pre-seed from investors who've built the financial and operational infrastructure that moves billions and serves millions. They backed us because the home is the largest consumer asset where that infrastructure hasn't been built yet. You'll get competitive base pay, meaningful equity, and a small, high-agency team rebuilding an industry and growing at >100% month-over-month. We're hiring to facilitate this aggressive growth. Bonus is uncapped. Hit target and you take home your OTE; beat it and there is no ceiling. #J-18808-Ljbffr

The $3T commercial insurance market runs on email threads and spreadsheets. Our client is building the AI agent layer that fixes this: submission intake, data extraction, insurer outreach, quote comparison. Brokers cover more ground without ripping out the systems they already use. They started in April and are already live with 3 of the top 10 global brokers (over $150B combined market cap), backed by leading European and American investors. The founders closed every one of those deals themselves. Before this, their CEO ran deployment at another AI company, where he personally closed four of the top ten players in that category and took revenue from zero to seven figures inside a year. First commercial hire, working directly with the founders. You sell hands-on to brokers and define the GTM motion as you go: target list, pitch, sales cycle, pricing. The market is unusually concentrated. Around 20 companies matter, most of them within a mile of each other in the City of London, with 10 to 20 relevant buyers inside each - 200 to 400 people in total, and it is the entire universe. You can learn all of them, and you should. Full deployments are priced on the value they create and land in the £1-4M range. You will work directly with the founders and turn early customer conversations into a repeatable sales process. Someone who has sold, not only managed sellers: you have closed enterprise deals yourself, worked without a playbook or a support function around you, and want to build a GTM function from zero. This year's measure is how many of the top 20 brokers they are working with, not a revenue target. The commission plan is written with the person who takes the role. There is no inherited territory or existing playbook; you set the plan, then hire the team that runs it. Insurance experience is not required. These deals are won on judgement and relationships rather than domain knowledge, and the domain is taught on the job. Ownership of the GTM function: targets, comp plan, pricing approach and the first hires into the team Working directly with founders who have closed clients from the top 10 in the industry themselves Five days a week in office in London Vauxhall, plus regular time on client sites Intro call with TechTree, then a call with the CEO and co-founder, then a half day in person including a case study. #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment. As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. • Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it., • Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room., • Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team., • Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders., • Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes., • Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production., • Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story., • Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale., • Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning., • Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes., • Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions., • Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments., • Travel to customer sites (25–50% expected)., • Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes., • Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites., • Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments., • Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering., • Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs., • Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement., • Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage., • Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands‑on engagement review with your team., • Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000—£325,000 GBP Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long‑term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn about our policy for using AI in our application process. #J-18808-Ljbffr

Role- Agentic Commerce Consultant Location- London Level- Consultant Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, our Commerce & AI practice helps organisations design, build, and scale modern digital commerce ecosystems — embedding Generative AI and Agentic AI into commerce to enable real-time personalisation, autonomous merchandising, and intelligent customer engagement at scale. We are entering an exciting era of agentic commerce — where new AI channels, AI agents and enhanced customer experiences are reshaping how people discover, evaluate, and buy online. We are looking for those who are energised by this shift, and want to be at the forefront of defining what it means for our clients at Accenture as the world's largest consultancy. You bring expertise in ecommerce strategies and / or operations, with exposure to how ecommerce works, the key technology players involved, a good understanding of the key channels which drive traffic, conversion and sales, and a passionate interest in the disruptive commerce changes ahead. You are energised by the explosion of LLM-influenced online commerce journeys (e.g. Gemini, ChatGPT), to the launch of immersive conversational-AI experiences, to the role of AI in optimising core commerce processes and operational support models. A basic understanding of the agentic commerce landscape and hands‑on curiosity with AI tooling are central to this role – passion to become an expert in our team is critical. You are a problem solver with strong digital commerce experience in industry or consulting, comfortable working in fast-paced environments and directly with multi-disciplinary teams. You will be confident building your own strategic insights and recommendations to drive value for our clients – and then delivering them. • Working closely with clients to understand challenges, capture needs and requirements and contribute to commercially grounded solutions that advance their goals across ecommerce strategy, operations and technology capabilities, • Leading interviews, workshops and co‑creation sessions with clients of varying degrees of seniority – in‑person and virtually, • Applying your knowledge of commerce technology across areas such as commerce platforms, search and merchandising or content and data systems to help clients make well‑informed, platform agnostic decisions, • Contributing to the shaping and delivery of commerce transformation programmes by supporting current state assessments, target state designs and roadmaps, • Leading project delivery workstreams and owning the production of high‑quality deliverables alongside key inputs into other streams, • Adopting and applying AI tooling as a core part of day‑to‑day working — including LLMs, AI‑assisted development tools, and emerging agentic platforms — to enhance the quality and pace of you and your team’s delivery, • Getting hands‑on with emerging tools, whether that’s exploring new agentic platforms, experimenting with AI‑assisted development tools, or helping bring a client idea to life quickly in a workshop setting, • Contributing to Accenture points of view and client‑ready assets that advance our clients and Accenture Song’s position in the agentic commerce market, • ~4 years of professional experience, either in a consulting role with significant commerce exposure, or in an industry commerce role (e.g. ecommerce, trading, merchandising, commerce operations), • Good understanding of ecommerce strategy and digital commerce — including the key players in the space and market shaping technology platforms, • Working knowledge of commerce operations — how ecommerce businesses run day‑to‑day, including trading, fulfilment, merchandising and the relationship between technology and operational performance, • Familiarity with the overall commerce technology landscape, including deeper knowledge of at least one or two of: commerce platforms like Shopify or Commercetools, search, merchandising, PIM, CMS, • Demonstrable interest in agentic commerce and AI through strategic work, POCs, independent learning, or a developed point of view on how AI agents and agentic search will reshape commerce, • Active day‑to‑day use of AI tooling (including LLMs and emerging agentic platforms) as part of how you already work, • Good communication skills — able to present ideas clearly to clients and contribute to narratives that land with senior stakeholders, • Familiarity with the emerging agentic commerce landscape: Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), AI‑native search, LLM‑powered applications and brand or consumer‑facing agents, • Some exposure to AI and agentic platforms — such as Google Gemini, OpenAI Agent SDK, LangGraph, n8n, Microsoft Agent Foundry or AWS Bedrock, • Familiarity with one or more areas of the commerce technology ecosystem: commerce platforms (Salesforce Commerce Cloud, Commercetools, Shopify, BigCommerce), search and merchandising (Algolia, Bloomreach, Elasticsearch), or PIM and content management (Salsify, Akeneo, Contentful, Adobe Experience Manager) 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. • Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of 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. Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in‑person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. #LI‑EU SNGCR01 Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, 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. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture #J-18808-Ljbffr

Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, our Commerce & AI practice helps organisations design, build, and scale modern digital commerce ecosystems - embedding Generative AI and Agentic AI into commerce to enable real-time personalisation, autonomous merchandising, and intelligent customer engagement at scale. We are entering an exciting era of agentic commerce - where new AI channels, AI agents and enhanced customer experiences are reshaping how people discover, evaluate, and buy online. We are looking for those who are energised by this shift, and want to be at the forefront of defining what it means for our clients at Accenture as the world's largest consultancy. You bring expertise in ecommerce strategies and / or operations, with exposure to how ecommerce works, the key technology players involved, a good understanding of the key channels which drive traffic, conversion and sales, and a passionate interest in the disruptive commerce changes ahead. You are energised by the explosion of LLM-influenced online commerce journeys (e.g. Gemini, ChatGPT), to the launch of immersive conversational-AI experiences, to the role of AI in optimising core commerce processes and operational support models. A basic understanding of the agentic commerce landscape and hands‑on curiosity with AI tooling are central to this role - passion to become an expert in our team is critical. You are a problem solver with strong digital commerce experience in industry or consulting, comfortable working in fast‑paced environments and directly with multi‑disciplinary teams. You will be confident building your own strategic insights and recommendations to drive value for our clients - and then delivering them. • Working closely with clients to understand challenges, capture needs and requirements and contribute to commercially grounded solutions that advance their goals across ecommerce strategy, operations and technology capabilities, • Leading interviews, workshops and co‑creation sessions with clients of varying degrees of seniority - in‑person and virtually, • Applying your knowledge of commerce technology across areas such as commerce platforms, search and merchandising or content and data systems to help clients make well‑informed, platform agnostic decisions, • Contributing to the shaping and delivery of commerce transformation programmes by supporting current state assessments, target state designs and roadmaps, • Leading project delivery workstreams and owning the production of high‑quality deliverables alongside key inputs into other streams, • Adopting and applying AI tooling as a core part of day‑to‑day working - including LLMs, AI‑assisted development tools, and emerging agentic platforms - to enhance the quality and pace of you and your team's delivery, • Getting hands‑on with emerging tools, whether that's exploring new agentic platforms, experimenting with AI‑assisted development tools, or helping bring a client idea to life quickly in a workshop setting, • Contributing to Accenture points of view and client‑ready assets that advance our clients and Accenture Song's position in the agentic commerce market, • ~4 years of professional experience, either in a consulting role with significant commerce exposure, or in an industry commerce role (e.g. ecommerce, trading, merchandising, commerce operations), • Good understanding of ecommerce strategy and digital commerce - including the key players in the space and market shaping technology platforms, • Working knowledge of commerce operations - how ecommerce businesses run day‑to‑day, including trading, fulfilment, merchandising and the relationship between technology and operational performance, • Familiarity with the overall commerce technology landscape, including deeper knowledge of at least one or two of: commerce platforms like Shopify or Commercetools, search, merchandising, PIM, CMS, • Demonstrable interest in agentic commerce and AI through strategic work, POCs, independent learning, or a developed point of view on how AI agents and agentic search will reshape commerce, • Active day‑to‑day use of AI tooling (including LLMs and emerging agentic platforms) as part of how you already work, • Good communication skills - able to present ideas clearly to clients and contribute to narratives that land with senior stakeholders, • Familiarity with the emerging agentic commerce landscape: Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), AI-native search, LLM-powered applications and brand or consumer‑facing agents, • Some exposure to AI and agentic platforms - such as Google Gemini, OpenAI Agent SDK, LangGraph, n8n, Microsoft Agent Foundry or AWS Bedrock, • Familiarity with one or more areas of the commerce technology ecosystem: commerce platforms (Salesforce Commerce Cloud, Commercetools, Shopify, BigCommerce), search and merchandising (Algolia, Bloomreach, Elasticsearch), or PIM and content management (Salsify, Akeneo, Contentful, Adobe Experience Manager) 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: • Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of 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. Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in‑person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. #LI-EU SNGCR01 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 recognized 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

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. We’re looking for a Senior Engineering Lead to build and lead our AI engineering team in FinTech and Fashion Tech at ASOS, the technology teams behind Finance and our Commercial, Buying and Merchandising functions. This is a hands on engineering leadership role. You’ll line manage and grow a team of AI Engineers who build, deploy and support automation and agentic AI solutions, and you’ll still write code yourself when it counts. The teams we support run some of the highest volume, most process heavy operations in the business, from accounts payable, reconciliation and expenses in Finance, through to range planning, trading, stock and supplier data on the commercial side. There is real scope to take repetitive manual work off people, speed up decisions and give them their time back. This is a delivery role rather than a strategy one. ASOS has a central AI team who own our AI policy, framework, approved tooling and guardrails, and you won’t be setting that direction for the wider business. You’ll build for the teams we support within it, working closely with the central team and our AI centre of excellence to stay aligned. Within that remit you own delivery end to end, from understanding the problem through to supporting what goes live, including the agents already running today. • Line manage a team of AI Engineers, covering objectives, one to ones, development, career progression and performance., • Grow the team. Hire well, onboard new engineers properly, and build the skills we need as the work changes., • Coach and mentor through design reviews, pairing and code review, and give honest feedback that helps people improve., • Look after the health of the team, balancing workload and capacity so people are on the right work and not carrying too much., • Own the technical direction for the team, including the architecture, reusable patterns and reference solutions we build from., • Set and hold the engineering standards, covering code quality, testing, evaluation, peer review, CI/CD and secure by default habits., • Make the build or buy calls for your team, and keep an eye on running cost, performance and technical debt., • Stay hands on. Lead from the front by writing code, prototyping, unblocking your team and picking up the hardest builds yourself., • Design, build and ship production ready agentic AI and automation solutions: agents that can plan, reason, use tools, retrieve information, act across our systems and hand back to a person when they should., • Build the integrations that make agents genuinely useful, connecting them to platforms such as Microsoft Dynamics 365 Finance and Operations, ReconArt, Concur, ServiceNow and our data platform, and use retrieval augmented generation and grounding so solutions are accurate against real business data., • Own delivery for the team. Plan and prioritise the backlog, manage capacity and dependencies, and move work quickly from proof of concept into production., • Run the team’s work through Azure DevOps and follow the wider ASOS delivery process, including governance, change control and release cadence., • Own the agents and automations already live, put proper operational foundations in place including monitoring, alerting, runbooks and clear ownership, and lead incident response when things go wrong., • Get out into Finance, Commercial, Buying and Merchandising to understand how people really work and what is genuinely worth automating, and explain the options back in plain language., • Build inside the policies, approved tooling and guardrails the central AI team sets, and be our main point of contact with them and the AI centre of excellence so we stay aligned., • Track and evidence the benefit delivered, whether that is time saved, manual effort removed or cycle times cut, and report progress and risks honestly to senior stakeholders. Automation and agentic AI are the biggest opportunity we have to change how these teams work. Done well, they take repetitive work off people’s plates, shorten month end close and trading decisions, and free our teams up for the things only people can do. The central team provides the framework and the guardrails. What we need now is someone to build and lead the team that delivers against it: a hands on engineering leader who can grow engineers, set the technical bar, keep stakeholders confident, and still open the laptop and build. • Experience line managing a team of engineers, covering one to ones, development, performance and hiring, while staying technically hands on., • A track record of setting technical direction and engineering standards, and lifting the quality of what a team produces., • Experience owning delivery for a team, including planning, prioritisation, capacity and reporting progress to senior stakeholders., • Comfortable delivering inside a framework someone else owns, working alongside a central or platform team, and able to push back constructively when it matters., • Real, demonstrable experience designing and building agentic AI solutions that have gone live and are genuinely used, rather than pilots., • Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented generation., • Experience with workflow and process automation tooling such as Power Platform, Logic Apps or RPA, and with evaluating how agents perform across accuracy, guardrails, reliability and cost., • A strong software or data engineering background, with solid coding skills such as Python or C#/.NET, and experience building and integrating APIs and services., • Experience deploying and running solutions in the cloud, ideally Azure, with proper CI/CD, testing, monitoring and observability, and a security and data conscious mindset when working with sensitive financial data., • Genuinely comfortable with non technical stakeholders, able to run discovery, explain technical ideas simply and influence at senior level, with a focus on outcomes rather than technology for its own sake., • Experience with finance systems or processes such as accounts payable, reconciliation or financial control, or with Microsoft Dynamics 365 Finance and Operations., • Experience in retail, ecommerce or fashion, particularly across commercial, buying, merchandising or supply chain., • Data skills including SQL, data modelling and platforms such as Databricks or Microsoft Fabric, • Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management., • You will build and lead the AI engineering capability for two of the most important areas of ASOS, and shape how the team works from the ground up., • It is a rare mix. You get to line manage and grow a team, own the technical direction, and still build., • Real problems, real scale and real users, with a clear impact on people’s working lives., • A central AI team owns the framework, tooling and guardrails, so you can concentrate on building and leading rather than writing policy., • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

Req ID: FEQ327R439 Location: London (or surrounding areas) As a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer‑facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. • Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning, • Build and deliver compelling proofs‑of‑concept and live demos on the Databricks Platform that drive technical wins, • Own frontline technical relationships with customer engineers, data teams, and technical leads, • Develop account‑level technical strategies in partnership with your Account Executive to grow platform consumption, • Navigate competitive landscapes by articulating Databricks differentiation through hands‑on demonstrations, • Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community, • 4+ years in data engineering, solutions architecture, technical pre‑sales, or a hands‑on consulting role, • Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production‑quality code — live coding is a required interview stage, • Hands‑on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP), • Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink), • Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews, • Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics, • Strong presentation and demo skills — you will build and present a live solution during the interview, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience), • Databricks certification or experience with the Databricks Platform, • Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow, • Background at a data/AI company, cloud provider, or technical consulting firm Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check 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

JOB ID: FEQ327R160 Location: London, United Kingdom Industry:Transport-Industry Recruiter: Dina Hussain As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. • Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth., • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy, • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, • Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team, • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms, • Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions, • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritisation, • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement, • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role, • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview, • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms, • Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability), • Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions, • Proven track record of driving consumption growth and platform adoption in large accounts, • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy, • Experience leading competitive displacements and complex enterprise evaluations, • Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued, • Databricks certifications, • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, • Published thought leadership (blogs, conference talks, open source contributions), • Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check 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

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. • Collaborate with cross-functional teams to build and scale operational infrastructure that supports the launch of innovative products, ensuring a seamless user experience, • Design the playbook to execute against operational requirements and deliver a best-in-class user experience, • Lead multiple projects simultaneously, managing timelines, resources, and stakeholder expectations to deliver impactful results that align with organizational goals, • Identify and drive process improvements alongside product and engineering teams, focusing on automation opportunities, public document enhancements, and self-serve capabilities that enhance efficiency and effectiveness in workflows, • Engage with stakeholders across the organization to explore new strategic initiatives, closing gaps related to user experience and compliance while driving overall operational excellence, • Collaborate with cross-functional teams to build and scale operational infrastructure that supports the launch of innovative payments and business funding products, ensuring a seamless user experience, • Design the SOPs of technical product support, including API troubleshooting, to execute against operational requirements and deliver a best-in-class user experience securing customer retention objectives for new product releases, • Lead multiple cross-functional projects that enable the launch of new products and features, • Simultaneously, managing timelines, resources, and stakeholder expectations to deliver impactful results that align with organizational goals that increase early user adoption of new banking and business funding products, • Identify and drive service efficiency process improvements alongside payments and business funding product and engineering teams, focusing on automation opportunities for support processes, public document enhancements, and self-serve capabilities that enhance efficiency and effectiveness in customer support and onboarding workflows, • Engage with stakeholders across the organization to explore new product offerings in payments, closing gaps related to user experience and compliance while driving overall excellence for user support and internal operations;, • Run incubation and governance programs for payments and banking products (Stripe Managed Payments, Stripe Capital, fiat-to-crypto onramp/Payin integrations), guiding features from private beta to General Availability by validating operational readiness with go/no-go dashboards and incubation graduation criteria that measure operations KPIs (CSAT, agent productivity, and costs), and by defining support SOPs for internal and vendor support teams, • Lead product compliance and operational-capacity programs for payments and banking product betas, coordinating Legal, Tax, and Risk to identify regulatory gaps (global sales tax compliance, KYC/KYB requirements) and deploy targeted automations and tooling (AI support agents, AI powered onboarding) to increase operational cost savings, limit Stripe’s liability for non-compliance, and inform support resource planning and budgeting We're looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement. Bachelor's degree or foreign equivalent in Business, Management, Economics or a related field, plus 2 years of experience managing timelines, resources, and stakeholder expectations to deliver results that align with organizational goals. Position also requires the following: • 2 years of experience documenting operational processes, • 2 years of experience designing and implementing process improvements, • 2 years of experience scaling support operations, • 2 years of experience communicating technical concepts to users and stakeholders, • 2 years of experience building queries using SQL, • 2 years of experience analyzing large datasets to draw conclusions and make recommendations Salary: $148,450 - $210,600/yr. This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week Up to 50% telecommuting permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.NY19 #J-18808-Ljbffr

Selby Jennings is proud to partner with a globally recognised placement agent specialising in private markets. Our client is seeking a highly experienced and driven European Distribution Professional to join their team at Director or Managing Director level. This role is focused on fundraising and investor coverage across France and the Geneva region, with broader responsibilities across Europe and the UK. This role can be based in either London or Paris. The successful candidate will play a pivotal role in originating and executing capital raising mandates for private market fund managers, including strategies across private equity, private credit, real estate, and infrastructure. This is a high-impact position offering significant visibility and responsibility within a dynamic and collaborative team. • Fundraising Execution: Lead the marketing and distribution of private market fund offerings to institutional investors, including pension funds, insurance companies, family offices, and sovereign wealth funds., • Investor Coverage: Develop and maintain deep relationships with LPs across France and Geneva, acting as a trusted advisor and point of contact for investment opportunities., • Mandate Management: Support and execute fundraising mandates in coordination with internal teams and fund managers, ensuring alignment with client objectives and market dynamics., • Roadshow Coordination: Organise and attend investor meetings, roadshows, and events with fund managers to facilitate capital raising efforts., • Market Intelligence: Maintain and share insights on investor appetite, fundraising trends, and competitive landscape across private markets., • Business Development: Identify and pursue new fundraising opportunities and potential mandates through proactive outreach and relationship building with GPs., • Cross-Functional Collaboration: Work closely with colleagues across origination, execution, and investor relations to deliver seamless service and maximise fundraising outcomes., • Thought Leadership: Represent the firm at industry events and contribute to thought leadership initiatives to enhance visibility and credibility in the market., • Industry Experience: Minimum 10 years of relevant experience in financial services, with a focus on capital raising, investor relations, or distribution within private markets., • Track Record: Demonstrated success in raising capital from institutional investors across Europe, particularly in France and Geneva., • Market Knowledge: Deep understanding of private market strategies including buyout, growth equity, venture capital, private credit, real estate, and infrastructure., • Language Skills: Fluency in French and English is essential; additional European languages are a plus., • Network: Well-established relationships with both GPs and LPs in the region., • Sales Acumen: Structured and strategic sales approach with strong follow-up, persistence, and ability to close., • Professionalism: High integrity, strong work ethic, and a proactive, solutions‑oriented mindset., • Team Fit: Collaborative team player with excellent communication skills and the ability to work independently. Mid‑Senior level Full‑time Business Development Investment Management #J-18808-Ljbffr

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centered on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges. The Risk Analytics and Monitoring (RAM) team supports GSK in establishing a proactive, data-driven compliance culture that aligns with the organisation's strategic priorities and values. Our team delivers actionable insights that enable Legal and Compliance teams to identify emerging risks, focus resources, and make better-informed decisions. Through advanced analytics and responsible application of artificial intelligence, we strengthen risk management, improve Compliance effectiveness, and help position Compliance as a strategic partner to the business. We are seeking a senior platform and engineering leader to ensure that Risk Analytics products run on trusted data, resilient engineering, and effective technical controls. This role is accountable for the foundations beneath the product portfolio rather than for the business-facing AI and analytics products themselves. The Platform & Engineering portfolio spans two areas: • Data Engineering and Pipelines covering the design, build, integration, operation, and modernisation of the data analytics pipelines and platforms that supply Risk Analytics products., • Data Governance and Agent Infrastructure covering data governance, sensitive-data security, identity and access, lineage, retention, and the shared orchestration, telemetry, evaluation, and control services used by AI agents. You will take primary ownership of one portfolio, based on your expertise and the complementary strengths of the wider team. Success will be measured through platform reliability, data quality, control effectiveness, secure access, operational readiness, and the ability of downstream products to scale without creating avoidable technical or governance risk. • Own the architecture and operational roadmap for an assigned platform portfolio, prioritising reliability, security, data quality, scalability, technical debt, modernisation, and product dependencies., • Deliver and operate production-grade foundations across pipelines, integrations, data platforms, governance controls, or shared agent services, with monitoring, support, change control, and lifecycle management., • Set and enforce technical standards for data modelling, ETL or ELT, APIs, testing, deployment, observability, lineage, access, retention, auditability, resilience, and production support, as relevant to the assigned portfolio., • Provide architecture assurance and engineering oversight to internal teams and delivery partners, reviewing designs, implementation quality, non-functional requirements, testing evidence, security, and production readiness., • Enable Compliance Risk Analytics and AI product teams by translating risk analytics data, integration, security, and infrastructure needs into scalable platform capabilities., • Lead enterprise technical relationships with Technology, Privacy, source-system owners, and delivery partners to resolve dependencies, secure approvals, and coordinate complex operational change., • Improve reuse, automation, and cost efficiency by standardising patterns, reducing manual support, simplifying the estate, and strengthening engineering and governance capability through documentation, coaching, and knowledge transfer. We are looking for professionals with these required skills to achieve our goals: • Significant experience designing, delivering, and operating enterprise data platforms, data engineering capabilities, governance and security frameworks, or AI-enabling infrastructure in production., • Deep expertise in at least one of the following areas: Data engineering and pipelines, including cloud data platforms, ETL or ELT, APIs, orchestration, data modelling, automated testing, deployment, observability, incident management, and operational reliability., • Data governance and agent infrastructure, including data classification, identity and access, lineage, retention, metadata, sensitive-data controls, telemetry, evaluation infrastructure, and governance assurance. Strong architecture and engineering leadership with experience making design decisions, setting standards, managing technical debt, assurance delivery quality, and operating services through their full lifecycle. Strong technical depth in P #J-18808-Ljbffr

Searchable is an agentic marketing platform built for the age of AI search. ChatGPT, Claude, Perplexity and Google AI Overviews have transformed how people discover information. Brands now need to measure and optimise their visibility across all of the major AI search engines. We help companies grow their organic presence across SEO, AEO, and GEO through a fully agentic platform that identifies opportunities, recommends actions, and automates improvements with Searchable’s AI agent. We’re at $5M ARR in just 10 months, backed by top angels and VCs, and building the team that will define the category. We’re office-based five days a week near London Bridge. If you thrive in a startup culture where people put in hours because they love solving hard problems and taking radical ownership, you'll fit right in. As an Enterprise Account Executive, you will own complex, high-value sales cycles with large brands across retail, e-commerce, consumer, financial services, travel, technology and B2B. These organisations run multiple brands, markets and marketing teams, and they buy through cross-functional groups that include brand, SEO, content, communications, analytics, IT and procurement. You'll help senior marketing leaders understand how AI search is changing the way customers discover, compare and choose brands, and how Searchable gives them the visibility, benchmarks and insight to respond. This is a high-impact, early GTM role for someone who can run long, multi-stakeholder deals, build trust with CMOs and VPs, and help shape how the world's biggest brands approach AI search visibility. You'll work closely with the founders, marketing, customer success, product and partnerships to define our enterprise strategy and turn early relationships into lasting, expanding partnerships. Own the full enterprise sales cycle, from account planning and executive outreach through discovery, pilot, business case, procurement, security, legal and close. Build and manage a focused list of target accounts, with a clear account plan for each. Build relationships with CMOs, VPs of Marketing, Brand, Digital and Communications, and global heads of SEO, content and analytics. Navigate complex buying groups across marketing, communications, analytics, IT, security, finance and procurement. Design and run pilots with clear success criteria, then turn successful pilots into multi-brand, multi-market agreements. Position Searchable as a strategic platform that helps enterprise teams measure AI search visibility, track sentiment, benchmark competitors and connect AI referral traffic to business outcomes. Build business cases that connect AI search visibility to revenue, brand reputation and market share. Identify high-value use cases across SEO, AEO, content strategy, digital PR, e-commerce, demand generation and brand protection. Work alongside customers' agencies where relevant, so Searchable fits into how the brand already operates. Partner with customer success on rollout plans across brands, regions and teams, setting up long-term expansion. Feed market insight back into product, helping shape enterprise requirements such as permissions, security, integrations and executive reporting. Help define Searchable's enterprise motion, including account selection, qualification, deal strategy, pricing feedback and expansion playbooks. A proven enterprise B2B SaaS seller who has closed large, complex deals with global brands or enterprise marketing organisations. You understand how large marketing organisations buy: budget cycles, competing priorities, procurement, security reviews and the need for executive sponsorship. You are comfortable selling an emerging category and can build a business case that stands up to a CMO, CFO and procurement. You are strategic and patient on long cycles, but relentless about keeping deals moving and every stakeholder aligned. You run a rigorous sales process. You map buying groups, qualify thoroughly and forecast accurately. You are credible with C-suite marketing leaders, but equally comfortable working with practitioners in SEO, content, analytics and communications. You are entrepreneurial and excited to help build the enterprise motion, not simply inherit one. You care about the future of search, AI and how brands will be discovered as people increasingly ask AI systems for answers. 5+ years of B2B SaaS sales experience, including full-cycle ownership of enterprise deals. Experience selling to enterprise marketing, brand, SEO, communications or digital teams, or to marketing technology buyers. A strong track record of hitting or exceeding quota on large, complex deals with long sales cycles. Experience navigating procurement, security reviews, legal negotiation and enterprise agreements. Experience landing and expanding across multiple brands, regions or business units. Ability to build senior relationships and multi-thread across large organisations. Excellent written and verbal communication, including executive-level presentations and business cases. Comfort operating in an early-stage environment where speed, iteration and ownership matter. Interest in AI search, SEO, AEO, GEO, digital marketing, analytics or the future of brand discovery. Existing relationships with enterprise CMOs, marketing leaders or global SEO and digital teams. Experience in SEO, content marketing, martech, analytics, social listening, PR tech or competitive intelligence. Familiarity with tools such as Google Analytics, Google Search Console, Salesforce, SEMrush, Ahrefs, Similarweb or related enterprise marketing platforms. Experience with a structured sales methodology such as MEDDICC or Command of the Message. Experience selling into accounts where agencies influence or co-own the buying decision. AI search is creating a new category of marketing infrastructure. Brands no longer only need to rank on Google; they need to understand how they appear in AI-generated answers, recommendations, citations, comparisons and shopping journeys. Searchable is building the platform that helps marketers and agencies make sense of this shift and turn it into growth. This is a chance to join early, help shape a fast-moving category, work directly with the founding team and build the enterprise motion from the ground up. Salary: Competitive (DOE) + lucrative OTE Meaningful early-stage equity pre Series A 25 days' holiday plus bank holidays Enhanced salary sacrifice pension Workplace nursery scheme Monthly fitness and wellbeing reimbursement Flexibility in hours – around life and family commitments #J-18808-Ljbffr

At Salesforce, we are seeking a dynamic and visionary leader to join our team as Regional Vice President of Sales for UKI. In this pivotal role, you will own the Agentforce sales team, driving long term growth, encouraging long lasting client relationship, and harness groundbreaking technology to redefine engagement with our customers. This role requires a strong technical background, deep expertise in AI-driven solutions, and shown leadership in building high-performance sales team. Salesforce Agentforce; our flagship innovation, harnesses the power of real-time data analytics and AI to redefine Customer 360, enabling scalable, high-impact customer interactions. As the leader of this team, you will set the vision and lead the crafting of customer engagement and deliver ground-breaking results! We are looking for Sales leaders with deep AI knowledge and strong experience in selling complex technology solutions, understanding cloud-based services, and designing B2B solutions and B2C solutions. Collaborating with your team and potential clients, you will understand their needs and challenges, showcasing how Agentforce can solve their most critical business goals. • Build, encourage, and lead a high-performing sales organization. Attract, mentor and develop top talent while encouraging a culture with perfection and accountability., • Define and implement a clear and compelling vision to exceed revenue targets. Develop and implement sales strategy, handle quotas, and identify new growth opportunities across the region., • Lead your team through technical discovery sessions, understanding a client’s business challenges and showcasing how Agentforce’s capabilities can deliver impact at scale, • Develop strong executive relationships with key customer partners, aligning on long-term strategies and growth opportunities., • Identify new opportunities within industry verticals, expand existing accounts, and explore new business channels, partnerships, and routes to market., • Implement standard processes for forecasting, deal progression, and pipeline management using Salesforce CRM., • Establish meticulous operation cadence within your team driving forecast accuracy with a keen view on deal progression, sales stage verification, and pipeline coverage., • Develop, implement, and drive AI consumption and adoption sales motion within your territory, ensuring your customers realize the full potential of Agentforce’s AI crafted solutions., • Work closely with Product, Customer Success, Marketing, and other Salesforce teams to ensure alignment and seamless execution across the business., • Consistent track record in leading and scaling high-performance sales teams in a fast-growth environment with a focus on hiring, retaining and developing talent., • Deep understanding of AI and machine learning concepts, understanding of the agent platform, how to configure and set up agents, hook them into existing flows, automation, API connection, etc., • Shown ability to exceed sales goals within the context of highly technical sales., • Strong executive presence and experience in building long-term relationships with senior customers., • Outstanding communication and negotiation skills honed through your experience., • A history of consistently surpassing sales targets within a technical sales environment, underscoring your mastery of proficiency in sales processes., • A Bachelor's degree or equivalent experience with extensive background in technology sales., • Experience of selling Integration and/or SaaS highly advantageous., • Achieve year-on-year growth expectations for Agentforce within your region and territory, • Position Agentforce as the key platform to craft customer engagement, delivering ground-breaking results for our clients, • Build, and champion first class Sales organization attracting top talent within the industry, • Drive high retention, consumption, and expansion of Agentforce within strategic accounts, delivering outstanding customer success! #J-18808-Ljbffr

Customer experience is transforming through AI-driven innovation. At Zendesk, we don’t just embrace this change — we lead it. As visionary architects of our AI-powered Resolution Platform, AI Success Strategists shape and deliver long-term AI success for our customers. This role transcends technical deployment; it is about owning the strategic AI roadmap, maximizing business impact, and builds executive partnerships from day one so AI initiatives start strong and scale predictably. You will own end-to-end delivery of customers’ AI roadmaps: translating product capabilities into clear business strategies, defining a long-term AI vision, aligning internal and external teams, and driving execution from initial adoption through sustained expansion. Your success is measured by high customer satisfaction, increased automated resolution usage, and improved retention—while orchestrating the right mix of product, services, and partner resources. You will lead structured discovery and success-planning engagements that create measurable playbooks and milestones early in the lifecycle. • Accelerate customers’ time‑to‑value by driving adoption and operational excellence for Zendesk AI solutions, ensuring customers realize measurable business impact from initial deployment through scale, • Own customers’ multi‑year AI roadmap and execute cross‑functional delivery—aligning Product, Services, Sales, and Partners to scale safe, sustainable AI programs, • Deliver quantifiable commercial outcomes—protect renewals, grow account expansion, and translate AI adoption into predictable revenue and retention improvements, • Full Ownership of AI Roadmap Delivery: Lead the design, planning, and execution of comprehensive AI adoption and expansion roadmaps for key customers, ensuring alignment to their broader business goals and customer success vision., • Design Authority: Serve as the design authority for customers’ AI deployments — lead solution design reviews, ensure deployments align with the latest best practices and collaborate with Professional Services on integration and configuration guidance. For complex agent implementations, coordinate troubleshooting and technical escalations with Professional Services, Product and Engineering to resolve blockers quickly., • Long-term AI Vision & Business Strategy: Partner with executive stakeholders to co-create and refine a forward-looking AI strategy that anticipates market trends and customer needs. Serve as the primary AI thought leader and trusted advisor throughout the engagement lifecycle., • Internal and External Stakeholder Alignment: Dedicate effort to internal cross-functional collaboration, aligning Product, Professional Services, Sales, Success, and other teams to deliver on the AI roadmap., • Serve as the Engagement Lead: Coordinate and sequence activities, identify and elevate risks early, and ensure the right technical, product, and services resources are engaged at the appropriate times., • Sustain Engagement & Mutual AI Roadmap: Maintain recurring outcome-driven cadences and mutual AI Roadmap that define strategic goals, shared initiatives, measurable success, and a roadmap to maximize value and secure renewal., • Channel & Adoption Strategy: Own the channel strategy for AI solution dissemination and adoption, balancing direct customer delivery with channel enablement and partner engagement., • Measure and Drive Impact: Utilize data-driven insights to track AI adoption, resolution metrics, and gross revenue retention improvements. Continuously refine strategies to optimize outcomes and customer satisfaction., • Responsible AI & Compliance: Confidently advise customers on ethical AI practices, data governance, and compliance considerations — framing use cases within safe, explainable, and policy‑aligned guardrails., • Project & Program Management: Proven ability to orchestrate multi-phase technology adoption projects, managing diverse teams and timelines with clarity and agility., • Product and Technical Knowledge: Product expert who assesses customers' use case automation potential and technical readiness (generative AI, integrations, authentication), helps craft user journeys and translates features into value. Liaise with ProdDev teams to remove blockers for adoption, implement fixes and provide feedback on (beta) features., • Business & Strategic Acumen: Demonstrated skill in aligning AI solutions to customer business challenges, driving revenue growth, and influencing executive decision-making., • Consultation & Communication: Strong stakeholder engagement skills—whether customer executives or internal teams to advance AI adoption and sustain strategic partnerships., • Analytical & Outcome-Focused: Strong analytical capacity to interpret adoption data, develop predictive health scores, forecast retention/expansion, and translate metrics into prioritized action plans., • Forward-Thinking & Pragmatic: Visionary in embracing AI’s potential with a grounded, realistic approach to execution—balancing innovation with practical delivery feasibility., • Must have a minimum of 5+ years of related experience in Customer Success / Experience, 1+ years of AI related experience, • Previous experience in go-to-customer/GTM roles in enterprise technology / SaaS — either customer success management, professional services/consulting, technical account management, project management or solutions engineering/pre-sales consulting, • Experience managing AI or software adoption programs with demonstrated impact on business metrics such as retention or satisfaction., • Demonstrated experience in using adoption and health analytics to forecast churn and expansion; surface early risk signals and recommended mitigations to secure retention and growth., • Bachelor’s degree in Business, Computer Science, Engineering, or related field; advanced degrees; certifications in AI strategy or project management preferred., • Demonstrated experience designing and executing success plans or roadmaps that drive measurable customer outcomes, • Excellent program management and cross-functional influence skills., • Familiarity with emerging AI trends is a plus, • Ability to distill complex AI concepts for diverse audiences, especially executive stakeholders., • AI Domain Expertise: Deep understanding of AI capabilities within Zendesk’s platform, not necessarily hands‑on technical, but sufficient to translate product features into business value and strategic initiatives. #LI-AO1 The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre‑employment testing, or otherwise participate in the employee selection process, please send an e‑mail to with your specific accommodation request. #J-18808-Ljbffr

As part of our continuous growth, we are seeking a skilled Agentforce Technical Consultant to design, build, and optimise AI-powered agent solutions on the Salesforce platform. This role will play a key part in delivering intelligent automation, conversational experiences, and AI-driven workflows using Salesforce Agentforce capabilities. You will work as part of our Salesforce practice within delivery teams to implement scalable, secure, and high-performing solutions while developing deeper expertise in AI, automation frameworks, and emerging Salesforce innovations. This is an exciting opportunity to be at the forefront of Salesforce AI transformation Please note, you must either have Full UK Security Clearance (SC) or be able to attain it to be eligible for this role. • Design and configure Agent force agents aligned to business use cases, • Build AI-driven workflows using Flow, Apex, and orchestration tools, • Implement conversational and automation capabilities across Sales and Service use cases, • Configure prompts, grounding strategies, guardrails, and agent behaviours, • Support testing, optimisation, and monitoring of AI agent performance, • Develop custom solutions using Apex, Lightning Web Components (LWC), and declarative tools, • Build integrations using REST/SOAP APIs and event-driven patterns, • Ensure scalability, performance, and adherence to platform limits, • Support CI/CD pipelines and version control best practices, • Collaborate with Solution Architects and Technical Leads on solution design, • Participate in technical design sessions and backlog refinement, • Contribute to effort estimation and sprint planning, • Support documentation and knowledge sharing, • Ensure compliance with security, data privacy, and AI governance standards, • Apply Salesforce and AI best practices to reduce technical debt, • Contribute to reusable frameworks and accelerators within the practice, • 3–5+ years Salesforce platform development experience, • Experience with Apex, LWC, and Salesforce automation tools, • Strong understanding of data modelling and integration patterns, • Experience working in Agile delivery environments, • Strong problem-solving and analytical mindset, • Salesforce Platform Developer I (required), • Salesforce AI / Agent force certifications (where applicable), • Additional cloud certifications (Sales, Service, Experience) beneficial, • Independently delivers well-scoped development tasks, • Demonstrates growing expertise in AI-driven Salesforce capabilities, • Balances declarative and programmatic approaches effectively, • Contributes ideas and innovation within the team, • Shows ambition to grow toward Technical Lead or SME capability, • Integration Experience is beneficial (Mulesoft / APIGEE / Connected Apps), • Basic understanding of Apex sharing and security model, • Experienced with Lightning Web Components, • Skills in analyzing and problem-solving issues, • Experience of prioritizing tasks and working to deadlines, • Strong communication, time-management and multi-tasking skills, • Automated testing experience (e.g. Provar, Selenium) - desirable, • Able to understand large / complex systems and both review and pick up existing implementations for in-life enhancement., • Able to work as part of a small Agile team, collaborating with and supporting others - flexing roles and responsibilities as needed. Security Clearance will be required for this role. Candidates to confirm if they have / are willing to be cleared. Please also provide confirmation of current or previous SC clearance. At NTT DATA, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D. Make this the place where you grow. We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options. You can find more information about NTT DATA UK & Ireland here: We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the recruitment process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team. #J-18808-Ljbffr