AI Engineer - Unusual Ventures

What You'll Build (Example projects for your first year): Talent intelligence. Agents and pipelines that find, enrich, and rank engineering and GTM talent for our portfolio — working closely with our Talent Partner to turn our recruiting judgment into repeatable systems.

Sourcing and research. Tools that surface promising companies and founders early, and context-aware research assistants that draw on our CRM, notes, meeting history, and market data to prep partners before a first meeting.

Diligence support. Workflows that speed up market maps, competitive analysis, customer-call synthesis, and memo drafting — without losing rigor.

Firm knowledge. Making what the firm already knows (thousands of founder and customer conversations, past memos, playbooks) searchable and useful.

Operations automation. Removing manual work from portfolio reporting, LP updates, and back-office processes, in partnership with the CFO/O and VP Finance.

Portfolio support. Reusable AI playbooks and tools that our founder services team can deploy across portfolio companies.

What We're Looking For (Required) 3–6 years of software engineering experience, with at least 1–2 years shipping LLM-powered products or internal tools to production

BS or MS in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience

Strong Python (TypeScript a plus); comfortable across the stack, from data pipelines and APIs to a simple, usable front end

Hands-on experience with LLM APIs, retrieval, agents/tool use, and evaluation — and a clear view on when each is the wrong tool

Product taste: you talk to users, find the real problem, ship something small, and iterate

Experience working with messy real-world data (CRMs, email, calendars, third-party data providers)

Clear communicator who can explain tradeoffs to non-technical partners and earn their trust

Self-directed: comfortable setting priorities with light direction

Nice to have Experience building internal tools or intelligence products at a VC firm, investment firm, or data-heavy operations team

Early-stage startup experience, or time as a founder

Familiarity with venture or enterprise software GTM

Experience with recruiting or people data

Public work — open-source projects, side projects, writing — that shows how you think and build

How We Work Small team, high leverage. Your tools will be used daily by the whole firm, and you'll see the impact directly.

Build, don't just integrate. Buy off the shelf when it's the right call; build when the problem calls for it.

In person. We work together in the Bay Area office. Being close to the people using your tools is part of the job.

Founders first. Everything we build should ultimately make us more useful to the founders we back.