Product Manager, Integrations

Role overview

Lead product strategy for integrations that connect AI governance controls to the identity, data protection, security, AI gateway, and agent deployment tools customers already use. You’ll guide a dedicated integration engineering team and work with customer deployment specialists to turn tool configurations into automated, audit-ready evidence.

Responsibilities - Set direction across direct connectors, a public API and SDK, and an MCP server; choose whether to build, partner, or provide an SDK for each need. - Ship integrations that configure controls for AI agents, read settings back, and automate evidence collection. - Own portfolio measures such as connector adoption, API usage, setup time, evidence automation, and integration impact on sales. - Turn customer-specific work into reusable connectors with consistent patterns for testing and support. - Manage technology partnerships from API access and scoping through launch and ongoing maintenance. - Shape the developer experience, write integration specifications and test plans, validate connectors in sandboxes, and contribute to customer or sales discussions.

Requirements - At least five years of product management experience, including substantial work with integrations, developer platforms, or APIs. - Demonstrated delivery across approaches such as connectors, SDKs, and partner-built integrations, with sound judgment about when to use each. - Working knowledge of identity and access concepts such as OAuth, SCIM, or IAM policies, or security tools such as SIEM, CASB, or DLP. - Experience managing external technology partnerships from initial scope through launch and maintenance. - Ability to read code, discuss architecture with engineers, and independently review API documentation and test endpoints. - Outcome-focused approach, measuring adoption and time saved, plus AI fluency or willingness to learn.

Nice to have - Experience in governance, risk, compliance, or security platforms where integrations are central to customer value. - Familiarity with APIs from identity, data, or enterprise workflow platforms; MCP or agent frameworks; or product work at an early-stage company.

Benefits and work setup - Remote, distributed work with coworking support and in-person team gatherings. - Health, dental, and vision coverage; an ergonomic equipment benefit; equity; flexible time off; paid parental leave; and a US 401(k) plan.