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Engineering Manager
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Building the AI Infrastructure Layer
Building the AI infrastructure layer for one of the world's most loved developer tooling platforms.
💫 Company | AI-native developer platform / AI infrastructure
📈 Stage | Series C, $60m ARR, >30k customers, 50% YoY growth
📏 Size | ~300 globally
🧢 Role | Engineering Manager (hands-on)
🎯 Areas | agent behaviour, evaluations, reliability
✨ Skills | TypeScript, technical leadership, agentic architecture
📍 Based | Hoxton, London
💻 Hybrid | 1–3 days in-office
💰 Offer | Up to £160k + stock options (pre-IPO)
Background
This company's platform sits on one of the most valuable things you can feed a LLM: structured, governed enterprise data at scale. It gives teams complete freedom to model, create, and automate content to precisely the way their business works.
Over 30k companies, including some of the most recognisable enterprise names in tech, store and manage their critical assets here.
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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, with capabilities customers will 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 and cares about how systems are built, but has learned to multiply their impact through a team.
You'll technically lead 3 Senior and Staff Engineers today, grow the team by 3 more this year, and eventually scale into multiple squads.
You'll own strategy, roadmap, and execution - and 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.
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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 the TypeScript ecosystem, and thoroughly understand modern web architecture
- You have deep production experience at scale with agent behaviour, evaluations, reliability, and prompt engineering
- You've managed a small team, or you're a Tech Lead / Staff Engineer ready to take that step
- You read carefully, think systematically, and write with precision. You're interested in how language fundamentally works
Reach out or apply below and I'll share more about the company and the role.
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