Every insight in Chronograph rests on a shared layer: the ingestion and structuring of private capital reporting documents, turning highly variable, semi-structured inputs into trusted data. With AI now embedded across private markets, that layer has become the foundation for document intelligence, the classified, queryable data behind semantic search, portfolio analytics, and agentic, LLM-driven workflows.
We’re seeking a technically fluent, systems-minded product leader to own this layer and set its direction, 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 held accuracy across 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 logic in enough detail to build against, with commercial and client-facing teams to connect capability to demand, and with senior leadership to set the pace and direction of the roadmap. You’ll treat extraction as an end-to-end product system, owning the human review layer and designing for 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.