Senior Growth Engineer - Contract

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. Based in the UK, this Senior Sales Engineer is a critical, highly-visible role within our organization, serving as the primary technical resource for our Sales team. You will be responsible for driving the technical closure of sales opportunities by demonstrating the value of Observe to prospective customers. This role requires a blend of deep technical knowledge, strong presentation skills, and a customer-focused approach. KEY RESPONSIBILITIES: * Technical Discovery and Presentation: Conduct in-depth technical discovery sessions with prospects to understand their current environment, challenges, and specific observability requirements. Tailor and deliver compelling product demonstrations and technical presentations that showcase how our solution addresses their needs. * Proof of Concepts (POCs): Design, scope, and manage technical evaluations and Proof of Concepts, ensuring the successful setup and demonstration of value within the customer's environment. Document findings and present clear, persuasive results back to the customer. * Sales Team Support: Partner closely with Account Executives to develop and execute technical sales strategies. Act as the technical subject matter expert throughout the sales cycle, from initial contact to final contract. * Feedback and Product Collaboration: Serve as the voice of the customer to the Product Management and Engineering teams, providing crucial feedback on product capabilities, market needs, and competitive landscape. * Content and Training: Develop and maintain technical sales collateral, including demo environments, presentations, and best practice guides. Deliver technical training to the broader Sales organization. * Travel: Ability to travel to client sites and industry events as required. QUALIFICATIONS : Required * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * 5+ years of experience as a Sales Engineer or Solutions Architect in the software industry. * Deep technical understanding and practical experience with modern Observability concepts (metrics, logging, tracing) and tools (e.g., Prometheus, OpenTelemetry, Grafana, ELK Stack). * Familiarity with cloud-native technologies (Kubernetes, Docker, Microservices) and major cloud platforms (AWS, Azure, GCP). * Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Preferred * Experience selling to Developer, DevOps, and Site Reliability Engineering (SRE) personas. * Prior experience in a fast-paced, high-growth Observability or Application Performance Monitoring (APM) company. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Motorway

ABOUT MOTORWAY Motorway is the UK’s fastest-growing used car marketplace - our online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our award-winning, technology-led approach has redefined the experience of selling a car. Motorway is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. ABOUT THE TEAM GenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. The team owns the GenAI features that shape how buyers and sellers experience the marketplace, spanning agentic workflows in the customer experience and LLM-powered tooling for our dealer network. Over the next two years the function scales from shipping AI features into running a serious GenAI platform. This hire is the technical authority who'll help shape that platform, working closely with engineering leadership across Data and AI and the wider Engineering org. ABOUT THE ROLE This is the most senior individual contributor role on Motorway's GenAI engineering ladder (IC5 / Principal). You'll report to the Director of Data and AI, advising the CPO and the wider exec on AI technical strategy. The remit is the trajectory of GenAI engineering at Motorway over a two-to-three-year horizon: the architecture, the standards and the strategic bets that no single team can absorb on its own. You'll set architectural direction across the GenAI surface area, hold sign-off on materially complex AI systems, and have the credibility to veto implementations that don't meet our agreed technical, safety or quality bar. You'll shape the high-stakes calls on vendor strategy, model selection, build-vs-buy on platform infrastructure, and our responsible-AI posture, providing the technical rationale that lets the Director of Data and AI and the wider exec land those calls with confidence. This is still a hands-on engineering role: you'll design and build the hardest single pieces of work directly, write production code on the systems that matter most, and pair with senior engineers on the architectural decisions that will outlast specific features. You won't own all AI usage at Motorway, you won't own overall AI strategy, and you won't hold budget for AI infrastructure, but you'll contribute meaningfully to all three, and you'll define how GenAI is built and evaluated here. This is a newly-created role and a greenfield opportunity. The technical bets you make will sit behind Motorway's most strategic AI initiatives, including ones not yet started. AI engineering choices at this level shape unit economics for years. IN THIS ROLE, YOU WILL: * Set the overarching architecture for GenAI at Motorway, including reusable patterns for prompt design, RAG (hybrid retrieval, chunking, semantic caching), agent orchestration, evaluation frameworks (LLM-as-judge, golden datasets, adversarial prompts), guardrails and observability that other teams build on * Design and build the hardest single pieces of work directly, taking on the problems nobody else is well-placed to solve and leading our highest-risk, highest-reward technical bets across the GenAI surface area * Hold sign-off on architectural decisions for materially complex GenAI systems, with the credibility to veto implementations that don't meet our agreed technical, safety or quality bar * Advise the Director of Data and AI on build-vs-buy calls for AI infrastructure (vector stores, eval platforms, AI gateways, model routers, agent frameworks), and own the technical rationale behind them * Drive cost, latency and throughput optimisation across our production GenAI systems, with the trade-offs documented and explicit * Define our principles for emerging paradigms, including multi-agent protocols, multimodal systems and agent-to-agent communication * Define our responsible AI principles and keep us aligned with the EU AI Act, NIST AI RMF and ICO guidance ahead of regulatory deadlines * Own opinionated relationships with our model and infrastructure providers, with the credibility to influence vendor roadmaps where it matters to us * Coach engineers across the function, shape how we hire and review, and set the cultural bar for safety, evaluation and production quality * Identify what Motorway should stop pursuing with the same clarity as what we should start, and represent Motorway externally through publications, conference talks and meaningful open-source contributions, used as a multiplier for hiring and partnerships ABOUT YOU * Typically 8+ years building production AI/ML systems, with at least 2 years at the cutting edge of GenAI, and a track record of company-scale technical bets that have materially shifted a business's trajectory * Strong engineering fundamentals and comfort working directly in code: Python and modern API-driven architectures on cloud infrastructure (AWS or equivalent), with the production engineering instincts (CI/CD, observability, SLOs, cost attribution) to take prototypes through to hardened production * Current, hands-on expertise across the GenAI stack: LLM APIs, prompt engineering, RAG (hybrid retrieval, chunking strategy, semantic caching, re-ranking), agentic architectures (multi-step, multi-agent, tool use, memory), evaluation frameworks, LLMOps and fine-tuning * Deep understanding of LLM capabilities and limitations, including how models fail in your domain, what hallucination and prompt injection look like in practice, and how to design evals that catch them * Experience setting architectural standards adopted across multiple engineering teams over multiple years * High-stakes build-vs-buy judgment, with a clear story of where you've been right and where you've been wrong * Strategic grasp of responsible AI and AI governance, with practical experience aligning engineering decisions to NIST AI RMF, the EU AI Act or comparable frameworks * Calm, direct communication with executive and board-level audiences, with the ability to compress technical complexity into the decisions leadership needs to make * Coaching credibility with senior engineers, who have grown materially under your influence * Self-awareness as a leadership trait; you know the limits of your knowledge and pull in outside expertise before that becomes a problem YOU COULD BE A GREAT FIT IF * You have an external technical presence (publications, well-known open-source contributions or conference talks) and use it as a multiplier for hiring and partnerships * You've led an organisation through a major AI paradigm shift in a previous role * You have working knowledge of the ML Engineering and platform layer (serving infrastructure, AI gateways, cost attribution, multi-model routing) that GenAI features run on top of * You've advised commercial leadership on vendor and partnership strategy, including contract and data-rights negotiation * You've worked in a regulated, safety-critical or trust-heavy domain where AI behaviour has material business or legal consequence WE OFFER A FANTASTIC RANGE OF BENEFITS TO HELP YOU THRIVE: * Great work-life balance * Office location with regular social events, office drinks and free snacks to keep you going * Flexibility to work from home up to 1 day per week to help nail that work-life balance * Stock options so you can share in Motorway's growth and future success * Pension scheme to plan for your future with our provider NEST * Strong commitment to your personal development including budget for books, courses, conferences, etc * Opt-in comprehensive health insurance through BUPA and fitness discounts * Cycle to work scheme - save big ££ on a new bike and accessories * One paid volunteering day a year for you to use as you wish * Generous parental benefits including 6 months full paid maternity leave, 4 weeks paternity leave and workplace nursery scheme... and much more!

Ophelos

OUR MISSION At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals — no matter what they’re going through. For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasons anyone can fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities. That’s why we’re taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base. Since our launch in 2021, we’ve worked with some of the UK’s leading companies, including Octopus, Scottish Power and Philips — helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europe’s biggest credit management service and have begun the next phase in our growth — expansion into 17 European markets over the next two years. SENIOR PRODUCT ENGINEER (FULL STACK) We are seeking an enthusiastic and ambitious Senior Product Engineer with a keen eye for quality to join our growing Engineering function. You will be joining our Payments squad, responsible for building out our cross-market flexible Payments capability. This is a team which has recently transitioned to being "LLM-first" in their working style, so you would be joining at a critical moment to shape our ways of working and our approaches to LLM-based tooling. At Ophelos, we don't have traditional product or design functions — our engineers own the full problem, from identifying what needs to be built through to shipping and iterating on it. If you're energised by that kind of end-to-end ownership and want to operate closer to the product than most engineering roles allow, this is the role for you. In this role, you'll get to: * Design, implement and deliver software features with full ownership from start to finish — from problem definition through to production. * Take genuine product ownership: identify user and business needs, define solutions, and make pragmatic trade-offs — not just execute on a brief handed to you. * Have real opinions about how things should be built, and back them up. We want engineers who push back — on a design pattern, a tool choice, or a suggestion from an AI agent — when the second- and third-order consequences don't stack up. * Work in an environment that's largely backend-heavy right now (though that mix will evolve), with the autonomy to shape how it's built. * Collaborate as part of a close & multi-disciplinary team. Your work will have meaningful and measurable impact on our organisation and products. * Own business-critical components and ensure their stability and maintainability — and know how to prove it, through the numbers you track. * Mentor other members of the team to ensure technical excellence and continuously raise the bar when it comes to engineering standards. * Share your ideas with the team and build products that make an incredibly impactful difference to society and people's lives. Ophelos is an AI-first technical organisation and effective use of LLMs is central to how our engineers work. Claude Code and other agentic tools are critical to our toolbox, and we're as interested in engineers who bring their own AI-assisted workflows and habits to the team as we are in engineers who already use ours. The right person for this role is excited by this world, uses it daily in their own work — professionally or personally — and enjoys helping others get better at it too. Stack-wise, we run TypeScript, Python, and Ruby at various levels. For this role we're really seeking a polyglot Software Engineer for whom specific implementation language is not critical. More broadly, our stack includes: * A modern web application framework (we use FastAPI; comparable experience elsewhere is fine) * A relational database layer (we use PostgreSQL) * Workflow orchestration and data infrastructure tooling * AWS and container-based cloud infrastructure * Claude Code for LLM-first software engineering * Datadog for monitoring & observability Ophelos operates hybrid working, and believes face-to-face working time is essential for planning and alignment. Our teams spend three days each week working in-person from our comfortable office near Liverpool Street in London. ABOUT YOU More than anything we are interested in your general experience as a software developer and your approach to solving problems. The ideal candidate thinks like a product owner and builds like an engineer — someone who is energised by ambiguity, comfortable shaping the problem as much as solving it, and who takes personal pride in the real-world impact of what they ship. Some experience in the following is important for this role: * At least 5 years of experience in full stack engineering, with real depth somewhere in your backend work - this role skews backend-heavy today. * Experience with TypeScript, Python, Ruby, or a similarly high-level language, and comfort designing and integrating APIs - particularly in environments where data sensitivity or regulation raises the stakes. * Breadth across problems and systems tends to serve people better here than narrow specialisation in one area - we'd rather hear about the range of things you've owned than the depth of one niche. * You enjoy learning new technologies and are passionate about experimenting to figure out how to build things in a better way. * You're comfortable working from a problem statement rather than a fully specced brief - you can move from ambiguity to a clear technical approach independently, and you actively contribute to shaping what gets built, not just how. * Genuine enthusiasm for using the latest LLM tools — Claude Code, Cursor, Codex or similar — is critical, as is the intent to keep developing your skills as the agentic software engineering landscape evolves. Bonus points if you've helped teammates or a wider team get better at this too. * You don't just ship - you measure. You can point to how you know something you built actually worked, whether that's a business number, a reliability metric, or both. * Attention to detail, intellectual curiosity & a willingness to embrace the changing technical landscape we find ourselves in. * You are excited about Ophelos' mission to support households and businesses to break the vicious debt cycle. Experience in fintech, or in regulated or compliance-heavy environments more broadly, is a genuine bonus - but we've hired brilliant people here without it, so don't rule yourself out if that's not your background. ABOUT OUR TEAM Ophelos launched in June of 2021, backed by investors such as AlbionVC, Connect Ventures and Fly Ventures. In 2023, we were acquired by Intrum, Europe’s biggest credit management service. Our growing team has team helped build some of the world’s most successful businesses, including the likes of Monzo, Google, Oracle, ASAPP, IBM and more — in addition to pioneering innovative products, sitting at the intersection of enterprise, financial technology, artificial intelligence and academia, working with institutions such as Oxford University, the University of Amsterdam and the University of Hong Kong. OUR VALUES Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace. Customers and Clients first – We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily. Dream big – We have ambition and drive to succeed - we’re not just raising the bar, we’re confidently asserting ourselves as the benchmark. Get it done – We’re decisive and embrace a sense of urgency; we don’t let opportunities get away from us. We’d rather act quickly and take informed risks, iterating and learning as we go.  Win as one - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn’t just individual departments - it’s all of us together.  We challenge and support each other because we care about everyone’s growth and success.  Ophelos is committed to creating a diverse work environment and is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We are building an environment where every Ophelos team member can thrive, feel a sense of belonging, and do the best work of their careers. We value diversity and recruit, hire, and promote individuals solely based on talent, qualifications, competence, and merit. We evaluate candidates without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or other protected characteristics as required by law and as a matter of our company values. GDPR NOTICE  When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos ("Controller"), located at 1 Finsbury Ave, London EC2M 2PF, and can be contacted by emailing support@ophelos.com. Controller's data protection contact is Kofi Barnes, who can be contacted at support@ophelos.com. This notice explains how we process your personal data throughout our recruitment process, including at the interview stage described below. Applying for a role with Ophelos is subject to the practices described in this notice — it is not a separate agreement you sign, but a description of how the recruitment process works. You won't be given a separate notice at each stage; Ophelos retains discretion over which of the described tools and processes are applied to any given application or interview, within the purposes set out below. This discretion does not extend to introducing automated decision-making without human review — that is addressed separately below. What we use your data for Your personal data will be processed for the purposes of managing Controller's recruitment-related activities, which include reviewing applications, setting up and conducting interviews and tests, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring process. As part of this process, we use software tools — including AI-assisted tools — to help us organise, screen, and evaluate applications and interviews. This includes: * Automated analysis of CVs and application materials to identify relevant skills and experience * Automated analysis of interview transcripts to help summarise and score responses (see "Interviews" below) * Generating scores, summaries, or insights to assist our recruiters Currently, these AI-assisted outputs are advisory only. A human recruiter reviews every application and every AI-generated score or summary before any decision is made, and no application is filtered out or rejected by an automated process alone. We may in future use automated tools to make, or take part in making, decisions about your application without human review at that stage, if we do so in a way that complies with applicable law at the time — for example, by obtaining your explicit consent, or where the decision is necessary for entering into a contract with you, and in either case only with appropriate safeguards, including your ability to request human review of, and to contest, that decision. If we intend to introduce this, we will update this notice and separately inform you before it applies to your application — this notice alone does not authorise it. We also use historical, aggregated recruitment data to improve our processes generally — for example, to better understand which factors tend to be associated with successful hires. Where this involves data from past applicants, it is anonymised or aggregated before use, and is not used to make any decision about a specific individual. Such processing is legally permissible under Art. 6(1)(f) UK/EU GDPR as necessary for the legitimate interests pursued by the Controller: the solicitation, evaluation, and selection of applicants for employment, and the improvement of Controller's recruitment processes. Interviews — recording and transcription If you're invited to an interview conducted by video or phone call, it will be recorded and automatically transcribed as a standard part of our recruitment process — this is described in this notice, which applies to your application as explained above. Where an interview is recorded: * The interview will be recorded and transcribed using our video-calling provider (Google Meet). * The transcript will be processed by AI tools (including models provided by Anthropic and Google) to help generate a summary and structured notes for the interview panel, and to help train and improve our own recruitment tools as described above. * The recording, transcript, and any AI-generated summary will be stored on Ophelos's systems (hosted via Cloudflare) and in Greenhouse. * A human interviewer/panel always reviews the AI-generated summary as part of forming their own assessment — it is a starting point for the panel, not a decision in itself. Recording and transcribing interviews in this way is necessary for us to evaluate all candidates fairly and consistently, and is carried out under our legitimate interests (Art. 6(1)(f) GDPR) in running a fair, well-documented recruitment process. Who we share your data with Your personal data will be shared with the following processors, engaged by Controller to help manage its recruitment and hiring process: * Greenhouse Software, Inc. — applicant tracking system (United States) * Google LLC — video interview hosting/recording (Google Meet), and AI models used to help analyse application and interview materials (United States) * Anthropic, PBC — AI models used to help analyse and summarise application and interview materials (United States) * Cloudflare, Inc. — infrastructure and data storage supporting our recruitment tools [confirm storage region before publishing] We use application and interview data, including through AI-assisted tools, to train and improve our own internal recruitment tools and models — for example, to refine how we identify relevant skills and experience, and to better understand what tends to be associated with successful hires. This is part of how we evaluate and improve our recruitment process on an ongoing basis. The third-party AI providers who process this data on our behalf do not use it to train their own general-purpose AI models — it is used only to generate the specific outputs described in this notice. International data transfers Because the above providers are located in or transfer data to the United States, if you are located outside the United States, your personal data will be transferred to the United States once you submit it or once your interview is processed. Where the European Commission has not made an adequacy determination covering such a transfer, it is subject to appropriate safeguards, including Standard Contractual Clauses and/or the EU-U.S. Data Privacy Framework where the recipient is certified. You can obtain a copy of the relevant safeguards by contacting support@ophelos.com. How long we keep your data Your personal data, including any interview recordings, transcripts, and AI-generated summaries, will be retained for the duration of the recruitment process and for 24 months afterwards, to allow us to consider you for other roles and manage any related legal claims, after which it will be deleted or anonymised. You can request earlier deletion at any time by contacting support@ophelos.com. Your rights Under the GDPR, you have the right to request access to your personal data, to request that it be rectified or erased, and to request that processing be restricted. You also have the right to data portability and the right to object to processing based on legitimate interests, including interview recording — though for the reasons explained above, we may not be able to progress an application where a candidate objects to standard recording of the interview stage. In addition, you may lodge a complaint with an EU or UK supervisory authority (in the UK, the Information Commissioner's Office).