Product Manager - Agentic AI

Okta Okta · Enterprise · San Francisco, CA · Product Management-810

Product Manager to lead the development of internal AI agents that improve how Okta's teams work across engineering, product management, developer support, UX design, UX research, and documentation. This role involves defining, prototyping, shipping, and scaling AI-powered workflows and agents, owning the roadmap, requirements, adoption strategy, and success metrics.

What you'd actually do

  1. Define and own the roadmap for internal AI agents and AI-powered workflows across product development and engineering organizations
  2. Partner closely with engineering teams to build AI agents for:
  3. Gather requirements from internal stakeholders and translate them into clear product specifications and prioritized execution plans
  4. Prototype new AI agent concepts using modern AI tooling, APIs, agent frameworks, and workflow orchestration platforms
  5. Drive rapid experimentation to identify high-impact AI use cases and scalable patterns

Skills

Required

  • 3+ years of product management experience, ideally in SaaS, developer tools, AI, or platform products
  • Demonstrated ability to work closely with engineering teams on technical products and workflows
  • Comfortable building prototypes and experimenting directly with AI tools, APIs, and agent frameworks
  • Strong written and verbal communication skills with the ability to simplify complex technical concepts
  • Highly curious, fast learner, and biased toward execution and iteration
  • Strong product instincts with the ability to identify workflow pain points and translate them into scalable solutions

Nice to have

  • Strong passion for AI agents, generative AI, and the future of AI-powered software development
  • Experience with developer tooling, APIs, LLMs, copilots, automation platforms, or workflow systems is a plus
  • Familiarity with modern AI tooling ecosystems such as OpenAI, Anthropic, Cursor, Claude Code, LangChain, MCP, or agent orchestration frameworks is a plus

What the JD emphasized

  • lead the development of internal AI agents
  • define, prototype, ship, and scale AI-powered workflows and agents
  • own the roadmap, requirements, adoption strategy, and success metrics
  • work at the intersection of AI agents, developer tooling, workflow automation, and product development
  • build AI agents
  • prototype new AI agent concepts
  • AI agent development

Other signals

  • AI agents will fundamentally transform how products are built, operated, and supported
  • lead the development of internal AI agents that improve how our teams work
  • define, prototype, ship, and scale AI-powered workflows and agents
  • own the roadmap, requirements, adoption strategy, and success metrics for a growing portfolio of internal AI capabilities
  • work at the intersection of AI agents, developer tooling, workflow automation, and product development