About Us Mentis AI works at the intersection of institutional investment expertise and frontier AI systems. Our team combines deep asset management experience (Lazard, Partners Group) with machine learning and applied AI research. Operating across London and San Francisco, we collaborate with leading AI labs to improve how models reason, generalize, and make decisions in high-stakes financial contexts.
The Opportunity This residency is designed for senior research analysts and portfolio managers who want exposure and a meaningful experience towards the direction of AI in your domain and earn early, practical exposure at using advanced AI system.
You will:
Prompt: Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.
Compare human vs. machine judgment: Systematically evaluate divergence between professional venture judgment and AI outputs across deal evaluation, term sheet structuring, and portfolio management contexts.
Design frameworks: 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.
Construct expert benchmarks: Build and validate real-world investment memos, market analyses, and founder evaluation frameworks used to evaluate frontier AI systems.
Why This Experience Is Valuable
Hands-on exposure to how AI is reshaping venture workflows, from sourcing and diligence through investment memo writing, board engagement, and portfolio monitoring.
You will be among the first venture capital professionals to work directly on how frontier AI models reason about early-stage investing, founder evaluation, and portfolio construction.
Who You Are
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
Residency Structure
Commitment: 15+ hours/week, flexible scheduling
Location: Remote globally, or in person if based in London
Compensation: Hourly rate depending on experience
Start date: Immediate / Rolling