Background
Most companies are asking how they can use AI. This one already has the answer - they just need someone to lead it.
Their platform sits on one of the most valuable things you can feed a language model: structured, governed enterprise data at scale. Over 30,000 companies, including some of the most recognisable enterprise names in tech, store and manage critical data here. While competitors are bolting AI onto legacy architecture, this platform was built for the AI era from the ground up.
They're now hiring a hands‑on Engineering Manager for the team at the centre of everything AI‑related in the business.
What this team builds
An AI assistant that deeply understands each customer's unique data model - their relationships, validation rules, and business logic. It can interrogate thousands of records in seconds, surface inconsistencies before customers do, and generate perfectly structured outputs that respect complex rules.
The goal now is to move it from a compelling feature to a revenue line - capabilities customers pay for repeatedly.
What this role is
This isn't a step away from engineering. It's closer to a Staff Engineer who's taken on people responsibility - someone who still thinks architecturally, still cares about how systems are built, but has learned to multiply their impact through a team.
You will technically lead 3 Senior and Staff Engineers today, grow the team by 3 more this year, and eventually scale into multiple squads. You will own strategy, roadmap, and execution - and you will be the person who builds genuine institutional expertise in agentic systems within the team. Not just consuming LLM APIs, but developing the architectural judgement to make smart bets as the space evolves.
The engineering problems here aren't CRUD interfaces. Real‑time data graphs, agentic workflows, multi‑tenant architecture, MCP‑layer integrations, and making all of it feel obvious to the person using it on day one.
Who this is for
- You're strong in TypeScript, understand modern web architecture, and have real working knowledge of prompt engineering, eval frameworks, and how to ground AI outputs in structured data.
- You've managed a small team, or you're a Tech Lead / Staff Engineer ready to take that step.
- You can tell the difference between AI that genuinely solves user problems and AI that just demos well.
- You're excited about being in London at the start of something. This is a new office. The team is small, the people are senior, and the timing is early.
One thing worth flagging
When evals stop working - and they will - the solution isn't more code. It's clarity of thought expressed in precise language. Engineers who reach for a model to write their prompts rarely build systems that hold up. Engineers who read carefully, think systematically, and write with precision tend to. If you've ever been drawn to how language actually works - not just how code works - that instinct will serve you well here.
Availability & Offer
Stage: Series C, $60m ARR, >30k customers, 50% YoY growth
Size: ~300 globally, London office just opened
Based: Hoxton, London
Offer: Up to £160k + stock options (pre‑IPO)
Reach out or apply below and I'll share more about the company and the role.
#J-18808-Ljbffr
