Senior Product Manager, Okta for AI Agents

Okta•San Francisco, CA

About The Position

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Senior Product Manager, Okta for AI Agents, you will drive the product strategy and execution for how Okta secures AI. As AI agents increasingly act on behalf of humans and organizations, the need for robust identity, permissions, and audibility has never been more critical. You will define how Okta secures this agentic future, building the capabilities that allow organizations to safely connect AI agents to their enterprise tools with strict, identity-driven governance. To achieve this, you will design, build, and launch core features spanning agent identity lifecycle management, dynamic permission scoping, delegated authorization, and comprehensive audit trails, directly shaping the underlying trust frameworks and APIs that power these secure workflows. Okta for AI Agents is a foundational new pillar for the company, acting as the critical trust layer that sits between automated, agentic workflows and the rigorous security posture our customers require for their enterprise systems. You will partner closely with engineering, design, other product teams, and cross-functional stakeholders across Okta's platform to ensure AI identity capabilities evolve strategically, including driving how agent access, oversight, and governance are rolled out and managed at scale.

Requirements

5+ years of technical product management experience in enterprise-scale SaaS products, or an equivalent background demonstrating core PM competencies.
Strong knowledge of Identity and Access Management (IAM) protocols such as OAuth2, OIDC, and SAML.
Deep understanding of API security and the developer experience for integrating security services.
Analytical and decisive : Ability to drive action even with incomplete or ambiguous information in the rapidly evolving AI landscape.
Excellent communication skills : Ability to work cross-functionally with research, design, engineering, and customer success teams.
Technical background : Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience that allows you to influence technical design decisions.

Nice To Haves

Hands-on experience with AI/ML frameworks or building products that leverage Large Language Models (LLMs).
Experience with developer-centric products , such as building with SDKs, APIs, or no-code/low-code integration platforms.
Familiarity with Zero Trust architecture and how it applies to non-human entities and automated workloads.
Prior experience in a "Zero to One" product environment , launching new products from initial concept to GA.
Advanced degree in a technical or business field

Responsibilities

Collaborate with AI platform developers, security architects, and internal stakeholders to distill feature asks, gather feedback, and ensure product-market fit for AI agent identity.
Define and own the product strategy and roadmap for AI agent-specific capabilities, including agent-to-agent authentication and delegated authority.
Identify and prioritize the development of new features such as dynamic session management for AI, "on-behalf-of" token exchange, and agent-specific audit logs.
Work closely with engineering and architecture teams to define protocols (e.g., extensions to OAuth/OIDC) and deployment models that align with modern AI orchestration frameworks.
Drive cross-functional execution with design, engineering, and documentation teams to deliver high-quality features on time.
Track industry trends in LLMs, agentic frameworks (e.g., LangChain, AutoGPT), and emerging AI security standards to develop differentiated solutions.
Leverage product data to continually improve agent lifecycle management and drive adoption within the developer community.
Serve as the subject matter expert for AI Identity, enabling marketing and technical sales teams with the tools needed to position Okta for AI use cases.