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Member of Product Staff - Product Manager

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EMP:Management
London Office
Tiempo Completo
Remoto
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Descripción

Tessl is a fast-growing Series A startup based in London, founded by Guy Podjarny.

We’ve raised over $100M from world-class investors including Index Ventures, Accel, GV, and Boldstart, and in 2025 we were ranked #2 in Sifted EU’s B2B SaaS Rising 100 and #20 in Sifted's AI 100.

At Tessl, we are building the context layer for AI coding agents, and a platform for AI-native software development.

As an early member of the team, you’ll help shape how we build, scale and support a company operating at the edge of AI and software development.

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the roleWe're looking for a Member of Product Staff — a senior, hands-on product manager who can own ambiguous, high-stakes problems end to end and help define how product is practised as the team grows.This is a generalist role

The patterns for how developers work with AI agents are still forming, and you'll have a direct hand in shaping them across the product — from the CLI and core platform to the new bets we'll place as we expand.

Much of the work is 0-to-1: you'll shape product direction amid genuine ambiguity, translate fast-moving model and research breakthroughs into experiences developers trust, and decide what's worth building when there's no settled playbook.

We also expect this person to be building a genuinely AI-native product practice: using the best available tools to think more clearly, move faster, and raise the quality of the work.

We're not looking for someone who uses AI occasionally — we want someone actively developing how they work with it, and setting the standard for the team.

What you'll work onOwn product areas end to end.

Take problems from early concept through discovery, definition, launch, and iteration — setting priorities for a cross-functional team and making the calls on what matters most.

  • Develop deep product sense for developer workflows.

Spend real time with developers and engineering teams to understand how they think, where they struggle, and where AI creates the most leverage.

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