Engineering Manager, Governance Intelligence

<div class="content-intro"><p><strong>Secure Every Identity, from AI to Human<br><br></strong>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. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.<br><br>This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.</p></div><div class="SingleJob-content"> <p>&nbsp;</p> <h2><strong>The Okta Identity Governance Team</strong></h2> <p>Okta Identity Governance (OIG) is Okta's Identity Governance and Administration solution, responsible for some of the most critical and visible workflows in enterprise identity: how people request access, how approvers grant it, how entitlements are enforced, and how organizations prove to auditors that only the right people have the right access.</p> <p>OIG is the leading contributor to Okta's new product bookings, and it runs inside some of the largest enterprises in the world — the kind of accounts where a single tenant carries hundreds of thousands of identities across thousands of applications.</p> <p>OIG currently supports some AI/ML based features and plans major expansion into the Agentic use cases.</p> <h2><strong>The Engineering Manager (Governance Intelligence) Opportunity</strong></h2> <p>As a manager on the OIG (Governance Intelligence) team, your mission is to adapt the OIG product to the needs of the government customers.&nbsp;</p> <p>In this role, you will actively design, build, and maintain both robust backend services and intuitive frontend interfaces. This role requires deep expertise in distributed systems and a commitment to AI-native engineering as our standard. You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure, interoperable, and scalable access—enforcing the principle of least privilege for every aspect of the product.</p> <h2><strong>What You'll Be Doing</strong></h2> <ul> <li>Lead and grow a team of ML experts and other engineers to deliver key Intelligence features for the OIG product - powered by machine learning, large language models, and agentic AI systems.&nbsp;</li> <li>Establish rigor around AI evaluation: designing “evals” frameworks, measuring factuality, relevance, and task completion, and setting quality gates before production rollout</li> <li><strong>Own the end-to-end AI product lifecycle</strong>: from problem framing and data curation through model training, A/B testing, deployment, and continuous improvement based on production signals.&nbsp;</li> <li>Manage the process to Architect, deploy, and maintain cloud and on-premises infrastructure across high-compliance security baselines.</li> <li>Support operations transitioning into federal environments. Collaborate with other engineering teams to ensure software deployments meet stringent governmental security standards.</li> <li>Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.</li> <li>Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.</li> <li>Actively invest in the growth of reporting engineers, taking responsibility for raising the technical bar of the team as a whole.</li> </ul> <h2><strong>What You'll Bring To The Role</strong></h2> <ul> <li>10+ years in software engineering, including 3+ in a management role, shipping enterprise cloud software.</li> <li>Hands-on depth in coding at scale using: Java, Python, or TypeScript, plus API (REST, gRPC) and UI automation (Playwright, Selenium, or equivalent)</li> <li>Experience with CI/CD (CircleCI or equivalent), containers (Docker, Kubernetes), and a major cloud platform</li> <li>Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.</li> <li>Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.</li> &l