Okta
Senior Product Manager, Okta for AI Agents
$169K–$260K
Bellevue, Washington +5 · Manager · Full-time · Posted Oct 8, 2026
- Location
- Bellevue, Washington
Chicago, Illinois
New York, New York
San Francisco, California
Washington, DC
San Francisco, CA, United States - Experience
- 5+ years of technical product management experience, or an equivalent background demonstrating core PM competencies.
- Education
- Bachelor’s degree in Computer Science or Computer Engineering, or equivalent experience that allows you to influence technical design decisions.
About the job
Own product strategy and execution for Okta’s AI-agent identity capabilities, enabling organizations to govern agents’ access to enterprise tools securely.
What you'll do
- Set the roadmap for agent identity, authentication, delegated authority, permissions, and audit capabilities.
- Partner with engineering, design, and stakeholders to define protocols and deliver features.
- Gather customer feedback, track AI security trends, and use product data to improve adoption.
What they ask for
- 5+ years of technical product management experience in enterprise-scale SaaS products, or an equivalent background demonstrating core PM competencies.
- Strong knowledge of IAM protocols, including OAuth2, OIDC, and SAML.
- Deep understanding of API security and developer experience integrating security services.
- Bachelor’s degree in Computer Science or Computer Engineering, or equivalent experience that allows influence on technical design decisions.
Nice to have
- Hands-on AI/ML framework experience or experience building products using LLMs.
- Experience with developer-centric products, Zero Trust architecture, or launching products from concept to GA; an advanced degree is also preferred.
Pay
$189,000 — $260,000 USD (annual base salary, San Francisco Bay Area); $169,000 — $232,000 USD (annual base salary, California excluding San Francisco Bay Area, Colorado, Illinois, New York, and Washington)
Tools
OAuth2, OIDC, SAML, LangChain, AutoGPT, LLMs
AI focus
Build identity, authentication, authorization, permissions, lifecycle management, and audit capabilities for AI agents; monitor LLMs, agentic frameworks, and AI security standards.
Model-written summary · the original posting is authoritative