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ai prompt engineering llm data extraction fund analysisπ Description
- Ensure AI-generated fund reports meet institutional standards and catch gaps.
- Shape product by identifying missing analysis and scoring logic issues.
- Collaborate with engineering and AI teams to translate domain knowledge into features.
- Audit document classification and extraction for DDQs, PPMs, and decks.
- Improve scoring and benchmarking models; refine methodology.
- Define what good looks like; build rubrics and reference guides.
π― Requirements
- 3β6 years in institutional fund diligence (consultant, LP allocator, or fund-of-funds).
- Deep fluency across fund documents: DDQs, PPMs, pitch decks, quarterly reports, capital call notices, side letters, K-1s.
- Multi-strategy exposure across at least 3 of: venture, growth equity, buyout, credit, real estate, infrastructure, hedge funds, secondaries.
- Strong analytical writing; ability to articulate fund-level insights concisely.
- Pattern recognition for red flags; identify attribution gaps or non-standard terms.
- Comfort with technology; articulate AI needs and work with engineers; familiarity with AI/LLM capabilities a plus.
π Benefits
- Equity upside in a company building institutional AI tooling.
- Remote in the US; full-time role.
- Foundational hire; build the fund intelligence quality practice.
- Small, technical team that ships fast; no bureaucracy.
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