At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
Role Summary
The Principal Technical Product Manager for AI Integration owns the strategy and delivery of Cotality Insurance's external-facing AI integration layer. This includes the MCP server ecosystem, AI/API gateway, developer experience, and the platform that enables AI agents from clients and third-party partners to discover, authenticate, and consume Cotality's insurance data products autonomously.
This is a technical product leadership role with a player-coach model. You set the product direction, make architecture tradeoff decisions alongside Architecture, and drive execution through a dedicated engineering team and cross-functional application team partners who own the underlying product APIs.
Core Responsibilities
MCP Platform Strategy & Roadmap. Define which Cotality data products get exposed as MCP tools, in what order, and with what capabilities. Align the connector roadmap with business priorities across Claims, Underwriting, Catastrophe Risk, and Contractor Solutions. Own the sequencing decisions - what ships this quarter, what's next, and why. Target cadence: one new MCP connector live per month.
Tool Schema & Data Product Definition. Partner with product teams and the Data Architect to define what data gets exposed through each MCP tool - the fields, the boundaries, the descriptions that AI agents read to decide when and how to use a tool. This is the highest-leverage work in the role. The quality of tool schemas directly determines whether an AI agent can use Cotality's data effectively or makes errors that damage client trust.
Architecture & Technical Direction. Work with the Architect and engineering team to define gateway configurations, authentication flows, and the aggregation layer. Make tradeoff decisions - when to optimize for speed vs. extensibility, when to wrap an existing API vs. build a composite tool, when to ship and iterate vs. get it right the first time. You don't write the code, but you understand the architecture deeply enough to lead technical decisions.
Developer Experience. Own the end-to-end experience for external developers and AI platforms integrating with Cotality's MCP endpoints. This includes the developer portal, API documentation, sandbox environments, authentication guides, SDK examples, and onboarding workflows. You understand what good developer experience feels like because you've been the developer - you've integrated against third-party APIs, read bad documentation, and know the difference between a portal that accelerates adoption and one that generates support tickets. Target: a developer or AI agent goes from zero to working Cotality data in under 60 minutes.
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. Define response metadata standards, logging requirements, and the guardrails that protect Cotality's brand when data flows through systems Cotality doesn't control. This includes near-term controls (response signing, audit logs, server instructions) and the longer-term innovation roadmap for data provenance.
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. Support demos, pilot programs, and partner integrations.
Cross-Functional Execution. Drive delivery through a dedicated MCP engineering team (MCP Architect, MCP