Responsibilities

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.
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 frameworks that improve extraction quality as pipeline components are iterated upon.
Connect capability to client demand: Work with senior leadership, commercial, and client-facing teams to align the roadmap with maximum client value.
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.
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.
Eval-driven decision making: You’ve built the eval sets and automated processes to quantitatively test functionality and guide approach, model selection, prompting, and fine-tuning.
Enough technical depth to earn Engineering’s respect: You can spec extraction logic for a technical audience, hold your own when debating implementation and trade-offs, and stay informed as new models and model architectures are released.

Product Manager, LP Portfolio Monitoring at Chronograph · LumiJobs

Product Manager, LP Portfolio Monitoring

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Chronograph

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