Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional venture judgment and AI outputs across deal evaluation, term sheet structuring, and portfolio management contexts.
Translate how VCs evaluate founders, size markets, assess competitive dynamics, and construct portfolios across stages and sectors into problems that push the limits of AI reasoning.
Build and validate real-world investment memos, market analyses, and founder evaluation frameworks used to evaluate frontier AI systems.
Requirements
4+ years of venture capital investing experience at a top-tier VC fund (e.g. Sequoia Capital, Andreessen Horowitz, Accel, Index Ventures, Lightspeed, Benchmark, Greylock, General Catalyst, NEA, Bessemer, Kleiner Perkins, Founders Fund)
Principal or Partner level; industry agnostic
Deep experience evaluating early-stage (Seed/Series A) or growth-stage (Series B+) investments
Strong frameworks for market sizing, competitive landscape analysis, and founder/team assessment
Track record of leading or co-leading deals, writing investment memos, and managing board or observer relationships
Genuine intellectual curiosity about the application of AI in venture capital and emerging technology.
Benefits
Commitment: 15+ hours/week, flexible scheduling
Location: Remote globally, or in person if based in London