Senior Product Manager – Identity Inventory, Correlation and Graph

Delinea

. Own the identity inventory, correlation service, and graph tracing where identities can go .

Posted 10/2/2026full-timeRemote • United StatesSenior💰 $130,000 - $162,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management with a focus on identity and access management, AI/ML concepts, and compliance best practices. Proven ability to manage AI-driven products through the full product lifecycle while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Product ManagementIdentity And Access Management (IAM)AI/ML ConceptsData-Centric Product ManagementCompliance And Security Best Practices

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Model Fine-TuningTraining AI ModelsGraph Query DesignAPI-First IntegrationSchema Stability Enforcement

Soft Skills

Excellent Communication SkillsCollaboration With Cross-Functional Teams

Tools & Technologies

AWSAzureGCP

Industry Keywords

Privileged Access Management (PAM)Identity Governance (IGA)Open-Source AI PlatformsEnterprise Software CompliancePrivacy Best Practices

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud Platform

About the role

Key responsibilities & impact

Own the identity inventory, correlation service, and graph tracing where identities can go
Deliver the identity graph and correlation service that resolve scattered accounts into one person or AI agent
Own the inventory and resource explorer, including coverage and freshness
Define how effective access is computed through nested groups
Publish contracts, schemas, and a change feed; enforce schema stability through build failures
Define latency and consistency classes for graph queries
Create a converged plan for existing correlation and graph stores with operating teams
Validate replacement data paths before migration
Design adoptable services with product teams consuming the data
Maintain tenant isolation and control access to cross-tenant queries
Track quarterly team onboarding to contracts and promote API-first integration
Collaborate with graph engineering, data science, and dependent product teams

Requirements

What you’ll need

5+ years in product management
Familiarity with identity and access management (IAM), privileged access management (PAM), and identity governance (IGA)
Understanding of modern AI/ML concepts, including large language models, multi-agent systems, context engineering, MCP (Model Context Protocol), and A2A (Agent-to-Agent Protocol)
Expertise in model fine-tuning and training
Ability to discuss technical tradeoffs with engineering teams
Experience working with data scientists, engineers, and UX professionals
Knowledge of compliance, security, and privacy best practices for enterprise software and AI products
Record of managing and launching AI-driven or data-centric products through the full product lifecycle
Experience supporting or growing open-source AI platforms and/or direct customer-facing products
Excellent written and verbal communication skills
Familiarity with AWS, Azure, or GCP preferred
Experience with PAM/IGA governance initiatives preferred
Experience engaging with open-source or technical user communities preferred
Successful completion of a comprehensive criminal background check
Verification of education and employment upon conditional offer

Benefits

Comp & perks

Equity
Meaningful bonus program
Healthcare insurance
Pension/retirement matching
Comprehensive life insurance
Employee assistance program
Time off plans
Paid company holidays
Career progression
Up to 25% travel expectation