Principal Product Manager, AI & Automation

Okta Okta · Enterprise · San Francisco, CA · BT Engineering Services-779

Okta is seeking a Principal Product Manager to own the full lifecycle of AI-native enterprise products, from 0->1 innovations to scaling them into company-wide capabilities. The role involves discovering and validating AI use cases, building and shipping AI-native experiences like agents and copilots, defining quality metrics, and evaluating AI performance. The ideal candidate has 10+ years of product management experience, with at least 2 years shipping AI/ML products in production, and experience with LLMs, agents, or RAG.

What you'd actually do

  1. Discover and validate new AI use cases (0→1 innovation)
  2. Build and ship AI-native experiences: agents, copilots, workflow automation
  3. Scale proven products into reliable, reusable capabilities (1→N)
  4. Define quality metrics, evaluate AI performance, and drive adoption
  5. Partner across IT, HR, Finance, and GTM to ensure real business impact

Skills

Required

  • 10+ years in product management
  • 2+ years shipping AI/ML products in production
  • Track record taking products from idea → MVP → broad adoption
  • Experience building AI-powered products with LLMs, agents, or RAG
  • Strong understanding of AI capabilities and how to apply them to real problems
  • Ability to balance speed and quality, knowing when to experiment vs. standardize
  • Experience building AI evaluation frameworks and measuring quality
  • Excellent cross-functional leadership and storytelling skills
  • User empathy and ability to translate complex workflows into simple experiences

Nice to have

  • Familiarity with responsible AI principles and enterprise compliance
  • Understanding of AI operational economics (costs, latency, quality tradeoffs)
  • Experience with agentic system design

What the JD emphasized

  • shipping AI/ML products in production
  • building AI-powered products with LLMs, agents, or RAG
  • building AI evaluation frameworks and measuring quality

Other signals

  • AI-native enterprise products
  • 0->1 innovations
  • 1->N scaling
  • LLMs, agents, or RAG