Teams at HackerRank

Owns end-to-end product analytics across AI, developer products, content, community, growth, and platform initiatives. Defines metrics, analyzes customer and developer journeys, evaluates feature and AI experience quality, partners with cross-functional teams on measurement plans, and drives experimentation. Uses SQL, Python, statistical methods, cohort and funnel analysis, segmentation, retention analysis, and causal inference to generate recommendations and measurable outcomes.

Own strategic enterprise accounts to drive adoption, retention, and expansion. Develop account strategies, build executive and technical relationships, run QBRs and engagement cadences, orchestrate internal teams, structure commercial terms, maintain forecasts, health metrics, and growth pipelines to ensure measurable customer outcomes.

Lead the HackerRank Interviews product roadmap, focusing on AI-assisted development evaluation, agentic coding harnesses, session observation, reporting, APIs, and MCP integrations. Translate engineering customer needs into product strategy, partner with Engineering and Design to ship AI-native interview experiences, and represent the product with technical users and senior stakeholders. Drive product launches, customer value, and cross-functional execution in a fast-paced environment.