Technical Product Manager, Document Intelligence

Chronograph•New York, NY

6d•$150,000 - $200,000•Hybrid

About The Position

Chronograph is seeking a technically fluent, systems-minded product leader to own and set the direction for its document intelligence layer. This role involves managing the ingestion and structuring of private capital reporting documents, transforming variable inputs into trusted data. The position requires expertise across various AI and ML techniques, including OCR, layout-aware models, vision-language, and LLM-based extraction. The Technical Product Manager will collaborate with engineering, applied AI/ML teams, commercial teams, and senior leadership to define the product roadmap, specify extraction logic, and ensure data accuracy. This role also encompasses owning the human review layer and designing how extracted data integrates into downstream workflows. The position is open to senior product leaders, founding engineers, tech leads, and applied AI operators with experience in extraction products.

Requirements

Senior product leadership experience in a comparable role: You’ve owned VLM- and LLM-native extraction tools from inception to launch, setting direction, sequencing the roadmap, making prioritization calls, and managing releases.
Deep fluency in extraction techniques: You’ve worked directly across the full set of methods, from traditional OCR to layout-aware models to vision-language / LLM extraction, and you know where each fits.
Eval-driven decision making: You’ve built the eval sets that test extraction across fields and formats, and used them to hold accuracy at scale, guide model selection, and decide what ships.
Enough technical depth to earn Engineering’s respect: You can spec extraction logic for a technical audience and hold your own when debating implementation and trade-offs.
Strong product systems instinct: You 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: You can work credibly with senior leadership, client-facing teams, engineering, and top clients, building buy-in, keeping everyone pointed in one direction, and turning vision into concrete plans.
An AI-native way of working: You’ve adopted LLMs, prototyping platforms, and agentic tooling to redefine how you work.

Nice To Haves

Private markets or financial reporting domain exposure
Prior Engineering experience in a related field

Responsibilities

Own the data extraction roadmap: Define how the full, variable range of documents that private capital markets run on gets ingested and structured into trusted, usable data.
Set direction across the full range of extraction techniques: OCR, layout-aware models, and vision-language / LLM approaches, choosing the right method for each document type and problem.
Design the extraction pipeline end-to-end: Own the human review and correction layer, and build systems that feed reporting, analytics, and document-intelligence workflows downstream.
Spec extraction logic for engineers: Engage credibly with ML, AI, and Document Capture Engineering teams on implementation and trade-off decisions.
Set and defend the accuracy bar: Build eval-driven frameworks that hold extraction quality as document volume and variety grow.
Connect capability to client demand: Work with senior leadership, commercial, and client-facing teams to align the roadmap with where the business and industry are heading.
Be a leader: Stay at the frontier of agentic extraction and document intelligence, drive innovation across Chronograph’s product suite, and communicate your vision to internal and external audiences.