• We look for people who match our ambition levels, and then raise it further.
• Lead and partner with engineering teams on technical concepts to deliver exceptional AI-first solutions. Prototype instead of writing specs.
• Own an agentic surface end-to-end and decide what runs unattended and what needs a human.
• Keep every autonomous action explainable and reversible. Own the tradeoffs on reliability, latency and cost.
• Sit with GP and LP ops teams, find the manual work, remove it without breaking their controls.
• Operate and deliver with a sense of urgency under ambiguous situations in a fast-paced environment where multi-tasking, strong communication and problem-solving skills are a must.
• What we look for:
• 2+ years in product, ideally somewhere where being wrong is expensive.
• Hands-on with prompting, context engineering and evals. You've done it yourself, not managed someone who did.
• You've shipped LLM or agent features to real users, and can say what broke.
• Enough technical fluency to argue with engineers about retrieval and tool design. Good judgement to know when AI is the wrong answer.
• Working with GPs/LPs and/or knowledge of Fund administration, KYC/AML or LP portals is an advantage.