Technical Product Manager, Document Intelligence
$150,000–$200,000 year
On-siteBrooklyn, New York, United States
Brooklyn, New York, United StatesOn-siteFull Time$150,000–$200,000 yearMedium
Full TimeMedium
Job Summary
Own the data extraction roadmap for private capital reporting, defining how variable documents are ingested and structured into trusted data. Set direction across OCR, layout-aware models, and vision-language approaches, then design the end-to-end pipeline including the human review layer and downstream analytics workflows. Spec extraction logic for engineering teams, defend accuracy bars with eval-driven frameworks, and connect capabilities to client demand. Lead innovation in agentic extraction while collaborating with senior leadership, commercial teams, and applied AI operators.
Required Qualifications
- Senior product leadership experience in a comparable role
- Owned VLM- and LLM-native extraction tools from inception to launch
- Setting direction and sequencing the roadmap
- Making prioritization calls
- Managing releases
- Deep fluency in extraction techniques
- Worked directly across the full set of methods, from traditional OCR to layout-aware models to vision-language / LLM extraction
- Know where each method fits
- Eval-driven decision making
- Built the eval sets that test extraction across fields and formats
- Used evals to hold accuracy at scale
- Guide model selection
- Decide what ships
- Enough technical depth to earn Engineering's respect
- Can spec extraction logic for a technical audience
- Hold your own when debating implementation and trade-offs
- Strong product systems instinct
- Reason through the whole chain, from initial agentic extraction to the human review layer to how each decision flows through downstream reporting workflows
- Excellent communication and collaboration skills
- Work credibly with senior leadership, client-facing teams, engineering, and top clients
- Building buy-in
- Keeping everyone pointed in one direction
- Turning vision into concrete plans
- An AI-native way of working
- Adopted LLMs, prototyping platforms, and agentic tooling to redefine how you work
Desired Qualifications
- Private markets or financial reporting domain exposure
- Prior Engineering experience in a related field
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