Product Architect, AI (Auth0)New

The opportunity

We are looking for a Product Architect, AI to help define how Auth0 and Okta lead the market in agentic identity, secure AI application development, and standards-based access for agents.

What you'll do

  • Define and evolve Auth0’s strategy for building, operating, and securing AI agents and agentic applications.

  • Shape the product and technical strategy for agentic identity, including how: agents authenticate, receive delegated authority, access resources, establish trust, and maintain auditable boundaries.

  • Define approaches for securely exposing protected resources (including APIs,: tools, data services, and MCP servers) to authorized agents.

  • Partner closely with Product Management and Engineering leaders to turn: strategic opportunities into clear product bets, architectural principles, product requirements, and durable platform capabilities.

  • Help design and, where valuable, implement core identity capabilities that: enable secure agent-to-resource and agent-to-agent interactions.

  • Develop an informed perspective on emerging technologies and standards such: as Model Context Protocol (MCP), agent-to-agent protocols, agentic commerce, AAuth, authorization frameworks, workload identity, and related specifications.

What they're looking for

  • Deep curiosity and a disciplined approach to staying ahead of the AI: landscape, including foundation models, agent harnesses, AI frameworks, orchestration tools, evaluation and observability platforms, and rapidly evolving developer practices. You can distinguish durable shifts from short-lived hype and articulate their implications for customers, developers, and Auth0’s product strategy.
  • Identify important industry shifts early, assess their implications for: customers and the identity ecosystem, and communicate a clear point of view internally and externally.
  • Work directly with strategic customers to understand their AI and identity: architectures, uncover unmet needs, validate product direction, and help them build securely.
  • Collaborate with Security, Legal, Privacy, and Trust teams to ensure that: AI-related identity capabilities are secure, responsible, compliant, and usable in real-world enterprise environments.