Principal Product Manager, Enterprise AI

Okta•San Francisco, CA

5d•$210,000 - $289,000

About The Position

Okta is building the next generation of AI-native enterprise products to transform how customers, employees, and partners work. Within Technology, Data & Intelligence (TDI), the team operates as Customer Zero, designing and delivering AI-powered products that shape how Okta secures AI and inform products brought to market. The Principal Product Manager will own the full lifecycle of AI-native enterprise products, from 0-to-1 innovation through 1-to-N scaling into company-wide capabilities. The role balances rapid experimentation with disciplined execution and builds AI experiences that change how work gets done. The position is part of an Enterprise AI Engineering Team spanning the US and India, working on applied AI products and the platform foundations for secure, scalable enterprise AI. The advertised annual base salary range for candidates located in the San Francisco Bay Area is $210,000–$289,000. Actual base salary depends on factors including skills, qualifications, experience, and work location. Okta also offers equity where applicable, bonus, and benefits according to applicable plans and policies.

Requirements

10+ years of product management experience.
At least 2 years shipping AI/ML products in production.
Track record of taking products from idea to MVP to 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, including knowing when to experiment versus 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 Haves

Familiarity with responsible AI principles and enterprise compliance.
Understanding of AI operational economics, including cost, latency, and quality tradeoffs.
Experience with agentic system design.

Responsibilities

Discover and validate new AI use cases through 0-to-1 innovation.
Build and ship AI-native experiences, including agents, copilots, and workflow automation.
Scale proven products into reliable, reusable capabilities.
Define quality metrics, evaluate AI performance, and drive adoption.
Partner across IT, HR, Finance, and GTM to ensure real business impact.
Own the full lifecycle of AI-native enterprise products, from initial innovation to company-wide scaling.