London | Hybrid (3 days onsite) | Salary £170K – £200K base | OTE £340K – £400K | 100% cash
bonus + carry About the Opportunity This opportunity sits within a global AI product incubator backed by one of Europe’s leading software investors with over $100B in assets under management. This is not consulting. This is not advisory. This is product building. The model is simple and powerful: conceive, build, and launch revenue-generating AI products directly inside established B2B software and services businesses. Each product is developed in focused 9–18 month sprints and launched into companies with existing customers, infrastructure, and go-to-market engines. Startup speed. Institutional backing. Immediate impact. The Role This is not an ivory-tower architecture position. You will: Lead product engineering across multiple AI products Set technical direction while remaining deeply hands-on Build from 0 to 1 and scale to production Make architectural decisions that impact thousands of users from day one Mentor and elevate world-class engineers Act as a technical co-leader alongside product and commercial stakeholders You will write production code. You will review critical PRs. You will ship. What Makes This Different You build real AI products inside real businesses You operate with autonomy and true ownership You move at startup velocity with long-term backing You help shape multiple industries, not just one This role suits engineers who want technical depth, product influence, and commercial relevance in equal measure. Tech Environment Python FastAPI Kubernetes AWS or GCP React TypeScript Applied AI systems and LLM integration at scale What We’re Looking For This is a selective search for exceptional profiles. You likely: Have built and scaled external, customer-facing products from zero Have led senior engineering teams without stepping away from the code Understand distributed systems and cloud-native architecture deeply Think commercially, not just technically Actively leverage AI tools and LLMs in your engineering workflow Thrive in high-ownership, high-ambiguity environments Builders thrive here. Observers do not. Interview Focus Be prepared to discuss: An external, customer-facing product you built from 0 to 1 How you’ve implemented AI tools and LLMs into your workflow Experience dealing with C-suite executives and founders If this sounds like you, APPLY asap.
