Engineering Manager - Full Stack in London

You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. com, we create marketing that moves people to choose our products, builds a brand where great marketers want to work, and fuels the growth of our business. We're looking for a GTM Engineer to join Marketing and help transform how we work internally. You'll design and build AI-assisted workflows, agents and integrations that reduce manual effort, improve how information moves across the team and give marketers more time to focus on high-value work. Marketing Operations Team owns our marketing technology and tools, and the automation that supports go-to-market execution across our channels. This role works alongside Marketing Operations, with a different starting focus: improving the internal processes, workflows and systems that help Marketing plan and deliver its work. This is a hands-on technical role in a marketing team. You'll spend around 70% of your time building: understanding how work gets done, finding where it is manual or breaking down, and shipping practical solutions. You'll work across Marketing, in close partnerships across Marketing Operations, Commercial AI Transformation and the AI Centre of Excellence. Map workflows, identify manual effort, duplicated work, missing context and avoidable errors, then prioritise opportunities based on their potential value. Build AI-assisted workflows and integrationsCreate and ship agents, automations, skills and integrations that make internal marketing work easier. You might use Claude Enterprise, Copilot Studio, Clay, MCP connectors, coding agents or other tools across our marketing stack. Make internal marketing work more efficientBuild workflows that help teams do the work behind marketing more efficiently, from briefing, research and insight gathering to planning, content development and hand-offs. Consider the data, context, tools, users, hand-offs, controls and feedback loops a workflow needs to work well. Help marketers build with AIWork alongside marketers to show what is possible and help them use AI with confidence. Test, learn and improvePrototype and test workflows, learn from how people use them, and improve or retire them based on the results. Identify design, security, privacy, brand and scale risks early, and follow our AI governance and review processes. Keep up with the toolsStay curious about new models, coding tools, connectors and agent patterns. Be able to explain which tools are right for a particular job and why, whether you're comparing Claude, ChatGPT, coding agents or emerging platforms. You're comfortable prototyping with AI coding tools, testing different approaches, debugging and improving the result. You have sound technical judgementYou can reason about systems, APIs, data flows, permissions and failure modes. You don't need a traditional software engineering background, but you do need to be comfortable working directly with technical tools and making sensible implementation choices. You've worked across marketing or RevOps toolsYou've built or supported workflows across platforms such as Salesforce, HubSpot, Asana, Clay or similar tools. You understand that an agent's performance depends on its data and operating environment as well as the model. You prioritise for valueYou can judge which problems are worth solving, which should remain manual and where a simpler answer will work better. You balance speed, quality, risk, maintainability and commercial impact, and can make a clear case for what to build next. You care about measurable gains in productivity, quality, speed or business impact. You think in systemsYou look for the process behind the immediate pain point. When a spreadsheet is difficult to use, for example, you're curious about the data, decisions and hand-offs that created it, and what would make the process work better. You can hold the bigger picture while working through the details needed to ship. You communicate clearly and bring people with youYou can explain technical ideas to marketers, commercial leaders, Product, Engineering, Security, IT and Operations in a way that helps them make decisions. You've taught yourself new tools, built something outside your formal remit or pursued a technical interest in your own time. A personal project, prototype, automation, community contribution or other example could show us how you learn. You use AI responsiblyYou understand that marketing systems need to be accurate, secure, explainable and aligned with our brand and company standards. You know when people need to review an output, when data should not be used and when an experiment is not ready to scale. You might come from marketing technology, marketing operations, growth engineering, RevOps, automation engineering, product, full-stack engineering or another technical role close to commercial teams. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.