The opportunity
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.
What you'll do
Product Strategy & Discovery: Own the vision, PRDs, and prioritized backlog for Okta's internal developer productivity and AI tooling. Treat engineers as your customers: start with deep, bottom-up discovery (dozens of engineer, EM, tech lead, and architect interviews), baseline dev-cycle metrics, and secure tooling budgets with rigorous, ROI-driven business cases.
Ecosystem Validation (Build vs. Buy): Drive definitive "adopt, build, or pass" decisions. Run hands-on, structured evaluations of inner- and outer-loop tooling — from coding agents and MCPs to build, CI/CD, and code review systems — against strict security and TCO criteria to ensure internal investments amplify vendor capabilities.
Hands-On Execution: Embed full-time with Developer Productivity Engineering and own the roadmap jointly with its engineering leads. Define MVP scopes, manage sprints, and incrementally ship workflows. You own the strategy and requirements (the what and why); Engineering owns the technical execution (the how).
Adoption & Outcomes: Own org-wide adoption, clearing security, legal, and privacy hurdles along the way. Measure success by connecting tool usage directly to hard engineering outcomes (cycle time, quality, toil reduction).
Standardization & Lighthouses: Coordinate the vision for reducing implementation diversity across Okta and Auth0 engineering. Study high-performing teams to see who is getting exceptional results, and convert those patterns into scalable playbooks that shift the broader org from passive AI use to agentic workflows.
What they're looking for
- + years of product management experience with developer platforms, developer: tools, cloud infrastructure, or AI products.
- Experience owning internal or platform products where users have alternatives: — adoption driven through product quality rather than mandate.
- Strong understanding of modern software development workflows: source control, IDEs, CI/CD, testing, code review, observability, production operations — across the inner and outer loops of development.
- Hands-on, current fluency with AI-assisted software development: coding agents, context management, MCP, evaluation frameworks — and informed views on where these tools create leverage and where they introduce risk.
- Demonstrated ability to design and run technology evaluations and controlled: experiments, and to define measurement systems for developer productivity with judgment about their failure modes.
- Ability to engage credibly in technical and architectural discussions with: senior engineers while maintaining clear boundaries between product outcomes and engineering implementation.
- Strong cross-functional leadership and the ability to influence senior: stakeholders across engineering, security, architecture, and finance without direct authority.
- Excellent written communication in a docs-first culture; you can produce: solid action plans from incomplete, conflicting, or ambiguous inputs.
