Principal Technical Product Manager — AI Integration

About the role

Responsibilities

• MCP Platform Strategy & Roadmap: Define which Cotality data products get exposed as MCP tools, in what order, and with what capabilities.
• Tool Schema & Data Product Definition: Partner with product teams and the Data Architect to define what data gets exposed through each MCP tool.
• Architecture & Technical Direction: Work with the Architect and engineering team to define gateway configurations, authentication flows, and the aggregation layer.
• Developer Experience: Own the end-to-end experience for external developers and AI platforms integrating with Cotality's MCP endpoints.
• Data Provenance & Trust: Own the strategy for ensuring data delivered through MCP tools is verifiable, auditable, and resistant to misattribution or hallucination by consuming AI agents.
• Go-to-Market Coordination: Work with product marketing, sales engineering, and business development to position the MCP platform for carrier clients and AI platform partners.
• Cross-Functional Execution: Drive delivery through a dedicated MCP engineering team and application team partners who own the underlying product APIs.

Requirements

• 8+ years in technical product management or architecture, with at least 3 years owning API platforms, developer tools, data products, or integration infrastructure.
• Engineering background — you've written code professionally and carry an intuitive understanding of what makes a great developer experience.
• Demonstrated experience shipping developer-facing or machine-consumable products with measurable adoption metrics.
• Strong understanding of API gateway patterns, OAuth/authentication flows, and how distributed systems communicate.
• Working knowledge of how large language models consume tools — function calling, tool descriptions, context windows, and the failure modes that arise when AI agents interact with external data sources.
• Experience defining data products for external consumption — what to expose, what to withhold, how to structure responses for different consumer types, and how to manage data quality and trust.
• Track record of driving delivery through cross-functional teams without direct reporting authority.
• Exceptional written communication — you will write tool descriptions that AI agents read, developer documentation that humans read, strategy documents that leadership reads, and contract language that legal reviews.
• Comfort with ambiguity and speed — this is a new category with no playbook, requiring decisions with incomplete information, shipping MVPs, and iterating rapidly.

Qualifications

• Preferred Experience with specific API gateway technologies (Apigee, Kong, AWS API Gateway, or equivalent).
• Hands-on experience with developer documentation and portal platforms — Mintlify, Swagger/OpenAPI, Redoc, ReadMe, or similar.
• Familiarity with the Model Context Protocol (MCP) or equivalent agent-tool interface standards.
• Experience in insurance, financial services, or regulated data industries.
• Understanding of data provenance, audit requirements, and compliance considerations in regulated environments.
• Experience with pricing and packaging of API/data products (per-query, tiered access, usage-based models).
• Background in or exposure to AI/ML workflows, particularly how enterprises are deploying AI agents in production.

Pay

The annual pay range for this role is $111,900 - $175,000 USD.

Benefits

• Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
• Health: Multiple medical plan options with mental health and wellness support offerings.
• Retirement: 401(k) with company match and vesting after one year.
• Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
• Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!