Senior Product Manager - AI-Driven Developer Productivity

Okta; Dublin (CA); Hybrid; USD 95,000 - 130,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Equity/bonus where applicable

Paid leave including PTO & parental

Job summary

Okta seeks a Senior Product Manager for Developer Productivity and AI Enablement Engineering. You will own the roadmap for internal developer tooling, interview engineers and leaders, baseline metrics, and drive ROI-focused business cases.

You will lead build, buy, and integrate decisions while clearing security, legal, and budget paths to enable faster AI-enabled development. You will ramp with engineering leaders, define MVPs, manage sprints, and measure outcomes like cycle time and quality.

Qualifications

• 5+ years in product management for developer platforms or AI products.
• Experience owning internal/platform products with optional user choices.
• Understanding of modern software development workflows (SCM, IDEs, CI/CD, testing, observability).
• Hands-on fluency with AI-assisted software development and related tooling.

Responsibilities

• Own vision, PRDs, and backlog for internal developer productivity and AI tooling.
• Drive build-vs-buy decisions with evaluation of inner/outer‑loop tooling.
• Embed with the team; define MVP scopes, manage sprints, ship workflows.
• Measure adoption and connect tooling usage to engineering outcomes.
• Standardize patterns to reduce implementation diversity across Okta/Auth0.

Skills

Product strategy

Discovery interviewing

Developer platforms

AI tooling

Tooling evaluations

Cross-functional leadership

Technical discussions

Documentation writing

Tools

APIs

MCPs

Agent orchestration

CI/CD tooling

Job description

Okta seeks a Senior Product Manager for Developer Productivity and AI Enablement Engineering. You will own the roadmap for internal developer tooling, interview engineers and leaders, baseline metrics, and drive ROI-focused business cases.

You will lead build, buy, and integrate decisions while clearing security, legal, and budget paths to enable faster AI-enabled development. You will ramp with engineering leaders, define MVPs, manage sprints, and measure outcomes like cycle time and quality.