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Salary: CAD 146,000 - 200,000 / annual
Okta is seeking a Senior Product Manager to own developer productivity as a product across Okta's development lifecycle, encompassing both AI-native and traditional tooling. This is an internal platform role embedded full-time with the Developer Productivity and AI Enablement Engineering teams.
You will start with bottom-up discovery: interviewing engineers, managers, tech leads, and architects to map current inner- and outer-loop tooling, identify frictions, and baseline dev-cycle metrics. From there, you will own the roadmap jointly with engineering leadership, benchmark how leading engineering organizations build with AI, define tooling requirements, and run evaluations in a rapidly evolving landscape.
Key responsibilities include:
**Product Strategy & Discovery:** Own the vision, PRDs, and prioritized backlog for internal developer productivity and AI tooling. Conduct deep, bottom-up discovery with 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.
**Hands-On Execution:** Embed full-time with Developer Productivity Engineering and own the roadmap jointly with engineering leads. Define MVP scopes, manage sprints, and incrementally ship workflows. You own strategy and requirements (the what and why); Engineering owns technical execution (the how).
**Adoption & Outcomes:** Own org-wide adoption, clearing security, legal, and privacy hurdles. 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 identify exceptional results and convert those patterns into scalable playbooks.
This role exists to capture organizational value by providing engineering with external intelligence, funded tooling, cleared paths, shared patterns, and defensible evidence to build with AI faster than any single team could alone.
**Requirements:**
- 5+ 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 inner and outer loops
- 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 risk
- Demonstrated ability to design and run technology evaluations and controlled experiments, and to define measurement systems for developer productivity
- 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 ability to influence senior stakeholders across engineering, security, architecture, and finance without direct authority
- Excellent written communication in a docs-first culture; ability to produce solid action plans from incomplete, conflicting, or ambiguous inputs
**Preferred Qualifications:**
- Experience deploying or scaling developer tools across a large, multi-org engineering organization, including consolidating divergent stacks and change management
- Hands-on familiarity with developer AI tools, harnesses, APIs, MCPs, and agent orchestration frameworks
- Familiarity with developer productivity research (DORA, SPACE, DX Core 4) and its failure modes
- Experience establishing governance, evaluation frameworks, or spend management for rapidly evolving, consumption-priced technologies
**Note:** Must attend in-person orientation on the first Tuesday of employment. Must go into the local office 2 days per week. Must work North American hours.
