Senior Product Manager, AI Data Platform
About The Position
MGT Insurance is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for brokers and small business owners. We are looking for a Senior Product Manager to drive quality results and expand our datasets in coordination with the Insurance product team. This role involves owning and delivering the vendor stack, quality, hit rate, and telemetry/evals. Product and engineering lanes are merging at MGT, requiring product talent to operate fluidly across strategy, data, design, and engineering. Successful candidates will embrace end-to-end execution, write compelling PRDs, and execute by directly contributing code, analyzing data, and owning results from concept through post-go-live.
Requirements
- Shipped meaningful work (beyond simple prototypes) with an AI engineering tool (Claude Code, Codex, Devin, etc.) and can show commits.
- 5+ years of experience at a firm that achieved scale, ideally InsureTech, FinTech, or Consulting.
- Ability to build things directly and execute end-to-end.
- Experience with Python/TypeScript for building agents.
Nice To Haves
- Experience building evaluation harnesses for LLM or retrieval systems, with knowledge of precision, recall, and cost tradeoffs.
- Experience running a data or API vendor stack.
- Experience owning third-party data integrations, measuring their quality, and making decisions to add or remove them.
- Engineering background with experience writing code prior to AI advancements.
- Curiosity about the AI search landscape with opinions backed by experiments.
- Experience in a growth-stage company environment.
- Positive references from peer department managers (Engineering, Data, Underwriting).
Responsibilities
- Manage the vendor portfolio, including cost per successful enrichment, hit rate, field-level quality, latency, and contract terms.
- Onboard new vendors, run bake-offs with real evaluations, and renegotiate or terminate underperforming vendors based on data.
- Instrument every vendor call end-to-end to build a monitoring agent that tracks hit rate, drift, outages, and quality regressions.
- Stay current on AI web search and retrieval options (native model search tools, search APIs, crawlers, structured extraction) and determine the best option for each entity type.
- Identify new signals that impact loss ratio, bind rate, or underwriting speed, and sequence them into the enrichment roadmap.
- Make build-vs-rent decisions and defend the unit economics.
Benefits
- Bonus and equity
- Commitment to Diversity, Equity & Inclusion
- Equal Employment Opportunity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
