Senior Product Manager, AI Data Platform

MGT is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for the brokers and small business owners. MGT's AI Data Platform is the engine for our Agentic Underwriting: the vendor data, AI web search, extraction, and scoring that runs behind every quote MGT produces. We're hiring a Senior Product Manager to wake up every day thinking about driving quality results and expanding our datasets in tight coordination with the Insurance product team. You own and deliver the vendor stack, the quality and hit rate, and telemetry and evals to prove it. This is not a roadmap-and-jira role. Product and engineering lanes are merging at MGT, and product talent operates fluidly across strategy, data, design, and engineering.

Responsibilities

Manage the vendor portfolio (data and AI web search vendors) on cost per successful enrichment, hit rate, field-level quality, latency, and contract terms; Onboard new vendors, run bake-offs with real evals, and kill or renegotiate underperformers; Instrument every vendor call end to end and build a Python/TypeScript agent that monitors hit rate, drift, outages, and quality regressions; Stay current on AI web search and retrieval options and know which one wins for which entity type; Decide which new enrichment signals move loss ratio, bind rate, or underwriting speed, sequence them, and make build-vs-rent calls; Write PRDs and execute end to end, including contributing code, analyzing data in the warehouse, and owning results from concept through post go-live

Requirements

Have shipped meaningful work (beyond simple prototypes) with an AI engineering tool (Claude Code, Codex, Devin, etc.) and can show the commits; 5+ years of experience at a firm that achieved scale, ideally InsureTech, FinTech, or Consulting; Build things directly and ship

Nice to have

Evals are your native language: you've built evaluation harnesses for LLM or retrieval systems and can talk about precision, recall, and cost tradeoffs; You've run a data or API vendor stack: owned third-party data integrations, measured their quality, and made the call to add or remove one; Engineering background: you wrote code pre-AI and use the latest tools to increase your impact; Curiosity about the AI search landscape: opinions backed by experiments on AI web search and extraction options; Growth stage experience; References from peer department managers (Engineering, Data, Underwriting)

Benefits

Performance-based bonus; Equity; Comprehensive benefits package