Director, UX Research

<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><h2><strong>Role Overview</strong></h2> <p>The Director, UX Research owns the strategy, quality, and impact of user research across Okta's Design &amp; UX Research organization. Reporting to the VP of Design &amp; UX Research, you lead a team of researchers and own Research Operations as a distinct, self-contained function: the single, clear place researchers and their partners go for research infrastructure, panel/recruiting operations, tooling, and methodology standards.</p> <p>This role requires equal parts research rigor and business instinct. You're comfortable defending a methodology choice to a skeptical PM, and just as comfortable killing a study that won't move a decision. You build a team and a research practice that changes what gets built.</p> <p>You are accountable for embedding research in product decisions while they're still being made, so it shapes the spec instead of validating it after the fact. That means research capacity, prioritization, and synthesis have to move at the speed of the roadmap, and when they don't, you're the one who says so and fixes it.</p> <p>A core part of this role is bringing AI-native ways of working to research itself: compressing the cycle from insight to decision through AI-assisted synthesis, rapid validation, and faster study turnaround, without trading away rigor. You are expected to lead from the front here.</p> <h2><strong>What You'll Do</strong></h2> <h3><strong>Research Strategy &amp; Vision</strong></h3> <ul> <li>Set the research agenda: define what Okta needs to learn to win the largest enterprises and to make AI-powered identity trustworthy to admins, and build the multi-quarter research roadmap that gets us there, ahead of when Product asks for it.</li> <li>Prioritize for leverage: evaluate research requests with the same rigor you'd apply to your own hypotheses. Kill studies that won't change a decision, and protect capacity for the research that will.</li> <li>Own the insight pipeline: ensure research insights are logged, prioritized, and tracked all the way through to shipped outcomes, closing the loop between "we learned this" and "we changed that."</li> <li>Represent research at the table: bring research evidence into planning and roadmap conversations as a forward-looking point of view that shapes what gets built.</li> </ul> <h3><strong>Team Leadership&nbsp;</strong></h3> <ul> <li>Build and lead the team: hire, manage, and grow a team of researchers and research managers who are craft experts and player-coaches, holding a high bar for rigor, judgment, and business impact alongside methods knowledge.</li> <li>Scale without bloat: build research infrastructure that scales with the org's growth (including Bangalore) without adding process for its own sake; actively retire rituals and templates that no longer earn their keep.</li> <li>Coach for judgment: develop researchers' ability to choose the right method for the decision at hand, defend their findings under pressure, and know when a good-enough signal fast beats a perfect signal late.</li> </ul> <h3><strong>AI-Native Research Practice</strong></h3> <ul> <li>Compress insight-to-decision cycle time: lead adoption of AI-assisted synthesis, transcription, and rapid analysis so findings reach decision-makers within days, and model this shift for the broader Design &amp; Research org.</li> <li>Rethink validation for speed: build fast, rigorous validation methods (in-context testing, rapid usability passes, lightweight quant) that get real signal from real users quickly, and know when a fast rough study beats a slow perfect one.</li> <li>Evaluate AI research tooling critically: bring the same rigor to AI research tools that you'd bring to any method. Adopt what genuinely increases velocity or quality, reject what just looks innovative.</li> </ul> <h3><strong>Cross-Functional Partnership</strong></h3> <ul> <li&