# Technical Product Manager, Data Extraction & Document Intelligence at Chronograph

Chronograph is hiring a Technical Product Manager, Data Extraction & Document Intelligence in Brooklyn, United States. It pays $175k-$225k a year and Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/b00a00c8-3ac0-44f9-b880-1e1a48acf3f9).

AI Level 3, AI centrality 65 out of 100. Brooklyn, New York, United States.

## Details

- Company: [Chronograph](https://jobsbylevel.com/companies/chronograph)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Brooklyn, New York, United States
- Salary: $175k-$225k
- Posted: August 5, 2026
- Apply: https://jobsbylevel.com/go/b00a00c8-3ac0-44f9-b880-1e1a48acf3f9

## Description

Company Overview Chronograph was founded to bring next-generation technology to private capital markets. Through our suite of cloud-based analytics and data management solutions, we help many of the world's largest and most sophisticated venture capital, private equity, and credit funds understand their investment performance in unprecedented detail, with over 258,000 private companies and 15,000 private capital funds monitored via our solution suite. At Chronograph, we get to go "behind the scenes" and work directly with investors who are driving some of the most impactful changes across high growth start-ups, global infrastructure and renewable energy, growth equity, and all other private capital strategies. The firm is backed by Sixth Street, Summit Partners, Carlyle AlpInvest, and Nasdaq Inc., and has seen continuous rapid growth since its founding in 2016. Our client base today includes hundreds of investors and asset managers monitoring more than $5.9 trillion in invested capital with 8 of the 10 largest GPs and 5 of the 10 largest LPs using Chronograph. Background Private capital is a multi-trillion-dollar asset class historically run on spreadsheets, where private investment funds and portfolio companies report financials in their own formats on disparate timeframes. Chronograph has 10 years of market-leading experience in extracting, normalizing, reconciling and delivering disparate private markets data at scale: in total, the company manages over $39 trillion in data assets. Every insight in Chronograph is auditable to its original source, a private capital report or document. Chronograph’s process of ingestion and structuring turns highly variable, semi-structured inputs into trusted data. With AI now embedded across private markets, this unprecedented corpus of data has become the foundation for new insights and intelligence, with classified, queryable data powering semantic search, portfolio analytics, and agentic, LLM-driven workflows. The Role We’re seeking a technically fluent, systems-minded technical product leader to own agentic data extraction, normalization, entity resolution, validation, and semantic indexing, carrying a decade of ML-based ingestion into the agentic era. This is a senior role for someone who has taken extraction products from concept through launch and deeply understands how to assess accuracy across a range of approaches and thousands of formats. You’ll work across the full range of methods, from OCR to layout-aware models to vision-language and LLM-based extraction, with a clear view of where each belongs. You’ll partner with engineering and applied AI/ML teams to specify extraction architecture, logic, and data structures, iterating quickly to deliver commercial and client-facing capabilities. This role will also collaborate closely with senior leadership to set the pace and direction of the roadmap. You’ll treat 100% accurate extraction as an end-to-end product system, owning the heuristic, agentic, and human review layers, including how extracted data feeds downstream workflows. The role is open to senior product leaders as well as founding engineers, tech leads, and forward-deployed / applied AI operators who have owned this problem. In this role you will: Own the data extraction roadmap and partner closely with engineering counterparts to define how the full, variable range of private capital documents gets ingested and structured into wholly trusted, auditable, usable data. Work closely with engineering to design and refine a pipeline of layered extraction techniques: OCR, layout-aware models, and vision-language / LLM / contrastive LM approaches. Continuously improve the extraction pipeline end-to-end, including validation, reconciliation, correction, and human review layers. Monitor and model the cost of various approaches, seeking to upgrade functionality and decrease costs as model capabilities continue to improve. Set and defend the accuracy bar: Build rigorous, eval-driven

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/technical-product-manager-data-extraction-document-intelligence-at-chronograph-27d793

Source: https://jobsbylevel.com/jobs/technical-product-manager-data-extraction-document-intelligence-at-chronograph-27d793

## Cite this page

Level. https://jobsbylevel.com/jobs/technical-product-manager-data-extraction-document-intelligence-at-chronograph-27d793.

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