Senior Product Manager - Identity Inventory, Correlation and Graph

Delinea is a cybersecurity company focused on securing human and machine identities through an identity security platform. The Senior Product Manager will own identity inventory, correlation services, and identity graphs, including data contracts, resource identifiers, change feeds, access computation, and integrations used by authorization and other product teams.

Responsibilities:

• Deliver the identity graph and the correlation service that resolve scattered accounts into one person or one AI agent, and answer what that identity can reach
• Own the inventory and resource explorer that other Delinea products read from, including the coverage and freshness they depend on
• Settle how effective access is computed and where that computation lives, so a permission granted three different ways through nested groups still means one thing to every consumer reading it
• Publish contracts, schemas, and a change feed for this team's data, and make schema drift fail the build
• Define latency and consistency classes for graph queries, and say plainly which answers belong nowhere near a request path
• Bring the correlation and graph stores running today into a converged plan, with the teams that operate them
• Prove that a replacement data path returns what the path before it returned, before anything switches over to it
• Sit with the product teams that read this data, and design services they can adopt without a custom integration
• Keep tenant isolation intact across a data set that spans every customer, and control access to the queries that cross it
• Track how many teams onboard to these contracts each quarter, and push API-first design so other teams can integrate on their own

Requirements:

• 5+ years in product management, preferably in AI/ML, cybersecurity, identity, or enterprise SaaS
• Familiarity with identity and access management (IAM), privileged access management (PAM), and identity governance (IGA)
• Solid understanding of modern AI/ML concepts—including large language models, multi-agent systems, context engineering, MCP (Model Context Protocol), A2A (Agent-to-Agent Protocol), and expertise in model fine-tuning and training
• Ability to discuss technical tradeoffs with engineering teams and ensure product requirements reflect best practices in agent-enabled systems
• Proven ability to work alongside data scientists, engineers, and UX professionals to define, prioritize, and deliver solutions that balance technical viability, scalability, and user experience
• Knowledge of compliance, security, and privacy best practices relevant to enterprise software and AI products
• Demonstrable record of managing and launching AI-driven or data-centric products, working through full product lifecycle
• Experience supporting or growing open-source AI platforms and/or direct customer-facing products
• Excellent written and verbal skills to translate technical capabilities into compelling business value for both internal and external audiences
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Experience working with PAM/IGA governance initiatives
• Experience engaging with open source or technical user communities