Unusual Ventures
Senior Portfolio Analytics & Investment Associate
- Location
- Menlo Park, CA, US
- Arrangement
- On-site
- Employment type
- Full-time
- Level
- Senior
- Posted
- 29 September 2026 (yesterday)
Checked todayApplications go to the employer, never to RoleSprint
About this role
Portfolio Intelligence & Operational Infrastructure (50%) • Data Ingestion Systems: Oversee the structural ingestion and sanitization of qualitative and operational KPIs submitted by portfolio startups, ensuring data hygiene and consistency.
• Predictive Dashboarding: Engineer internal analytics frameworks and predictive watchlists to monitor portfolio health, alert leadership to real-time runway risks, and evaluate operational velocity. Primary focus is on companies likely to deliver the greatest impact to our funds.
• Internal Synergy: Interface directly with the internal Finance team to provide seamless portfolio data information, feeding into valuations for fund accounting and investor reporting.
Investment Evaluation & Due Diligence (25%) • Deep-Dive Due Diligence: Support the commercial evaluation of early-stage investment opportunities, identifying core traction drivers, reviewing financial models and pressure testing assumptions as appropriate.
• Investment Committee Memos: Collaborate on drafting high-conviction investment memos and present clear data-driven arguments directly to the Investment Committee .
• Market Mapping: Conduct proactive ecosystem market mapping and macroeconomic sector research to uncover high-conviction, proactive sourcing channels.
• Underwriting & Valuation: Work with other investment team members on complex financial underwriting, cap table dilution analysis, and returns modeling for pipeline opportunities. Support Finance team with valuation modeling as needed.
Founder Advisory & Early-Stage Financial Architecture (25%) • Bespoke Financial Modeling: Embed directly with pre-seed and seed-stage portfolio founders to design, build, and stress-test their initial bottoms-up operational and financial models from scratch.
• Strategic Advisory: Translate raw early traction into structured corporate forecasts—optimizing pricing tiers, unit economics, headcount planning, and milestones required to successfully unlock Series A benchmarks.
• Capital Raising Support: Partner with portfolio executive teams to build clean, forward-looking runway/burn scenarios ahead of institutional follow-on rounds.
• Playbook Development: Institutionalize financial templates across the firm, building robust, repeatable forecasting tooling and playbooks tailored for early-stage B2B SaaS focused in the AI infrastructure segment.
Required Background & Qualifications • Experience: 3–5+ years of experience in either Venture Capital, Private Equity, Growth Equity, or Investment Banking .
• Financial Modeling Mastery: Elite-level ability to synthesize complex operational metrics into transparent, flexible three-statement models from a blank sheet of paper.
• Early-Stage Intuition: Deep operational empathy for pre-seed and seed founders; a natural ability to educate technical operators on financial literacy and unit economics.
• Technical Toolkit: Advanced mastery of Excel/Sheets. Highly value technical familiarity with data management frameworks with MCP integrations (Claude, ChatGPT, Carta), BI visualization software, and standard market information sources (PitchBook, Harmonic, Crunchbase).
• Education: Bachelor's degree in Finance, Economics, Computer Science, Engineering, or a highly technical quantitative discipline. MBA/ CFA a plus.
Work location
- Menlo Park, CA, US
Related jobs
Ready to make a decision?
This role is either worth your time or it isn’t.
Analyze the posting against your experience, see the gaps clearly, and build the right materials only if the opportunity makes sense.
Nothing is submitted automatically. You choose what happens next.
About this listing
Published on Lever under the board identifier Unusual, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 29 September 2026, last checked today. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.