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.

Required Experience:

• 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.
• Hands-on experience with AI/ML frameworks or building products that leverage Large Language Models (LLMs).
• 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.

Preferred Experience:

• 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.

Annual Salary Range: $146,000-$200,000 CAD

XML job scraping automation by YubHub