Founding AI Product Engineer
Listed on 2026-01-19
-
Security
Data Security
and the job listing Expires on February 5, 2026
Type: Full-time
Start Timeframe: Flexible
Experience: Open (exceptional early-career candidates welcome)
Verso Partners is a $600m AUM (and growing) equity hedge fund based in San Francisco, CA that launched in 2022 with backing from top-tier endowments. The Co-Founders (Josh Sweren and Michael Siliciano) each have nearly two decades of investing experience at top tier institutional investment firms.
We are hiring our first developer to help us build tools that don’t exist today – tools that make investment judgment sharper, faster, and more repeatable.
The Mission of the RoleMuch of our investment research process is qualitative: expert interviews, reconstructing industry history, understanding how a company got to where it is, pressure-testing narratives, and tracking what would change our mind. The challenge is that the raw material of great research is vast and messy – notes, transcripts, filings, models, datasets, internal memos, and trade history.
What You’ll Build (Examples)Projects will likely include:
- Research workflow systems
- Capture and structure qualitative research (expert calls, interview notes, transcripts, thesis tracking, timelines, etc.)
- Fast retrieval of prior work and institutional memory
- Information integration
- Unified search + synthesis across company filings/transcripts, internal notes and communications, datasets, and prior analyses
- LLM-enabled tools that help connect the dots (with citations/traceability and guardrails)
- Trading activity intelligence
- Analytics to identify recurring patterns in our trading decisions
- Build intuitive user interfaces for non-technical users
- Design backend services, APIs, and data pipelines that are reliable and auditable
- Integrate with existing AI capabilities (foundational LLM APIs and best-in-class tools already in our workflow), typically via APIs/SDKs/webhooks
- Establish engineering fundamentals (testing, observability, security, deployment) without slowing shipping velocity
- Work directly with the founders/investment team to translate high-level research needs into software
- Strong CS fundamentals (data structures, systems thinking, clean abstractions)
- Full-stack ability: you can build a complete product, not just a backend script
- Front-end: modern Type Script + React (or equivalent) and a strong UI intuition
- Back-end: Python/Node/Go (any is fine) with solid API design instincts
- Experience integrating external services via APIs (auth, rate limits, retries, logging)
- Comfort working with unstructured text/data and turning it into usable product workflows
- Ability to move quickly from ambiguity to a working V1, then iterate with users
- High craftsmanship: you care about speed and correctness and usability
- Experience building LLM-enabled products (prompting/orchestration, tool use, evals, guardrails)
- Experience in a performance-oriented language (Rust/Go – or strong interest in learning) for latency-sensitive features
- Search/RAG experience (indexing, embeddings, ranking, citations)
- Cloud experience (AWS/GCP/Azure), Docker, CI/CD, basic infra-as-code
- Data visualization instincts (turning messy history into clear pictures)
- Curiosity about markets/investing (no finance background required)
- You’ll be the founding engineer with unusually high product ownership and direct impact
- You’ll build tools that are rare even at larger funds – and immensely valuable
- You’ll work on problems that blend systems, product, AI, and human judgment
- Your work will compound: every improvement makes future decisions better
Send:
- a resume / Linked In,
- a short note explaining what you’ve built end-to-end (links welcome)
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