Teams at Netflix

Owns product operations for the Content Experience Innovation team, including operating rhythms, OKRs, QBRs, portfolio visibility, roadmaps, tooling, workflows, and leadership communications. Leads cross-functional innovation programs across Product, Engineering, Design, Content, and other teams, improving efficiency through scalable processes, AI, and automation. Partners with senior leadership to shape transformation initiatives and align product development with broader business goals.

Owns end-to-end human evaluation programs for Netflix recommendation quality. Partners with product, ML, data science, UX, engineering, and vendors to design evaluation frameworks, rubrics, metrics, and workflows. Manages annotation capacity, SLAs, costs, rater onboarding, calibration, quality assurance, and delivery timelines. The role also improves operational efficiency, resolves blockers, and translates recommendation strategy into scalable evaluation programs.

Build and maintain data models, pipelines, metrics, dashboards, and analytics supporting Netflix’s advertising identity graph, entity matching, and identity resolution systems. Evaluate match quality, coverage, graph stability, and data drift; collaborate with engineering, data science, product, and identity providers; and communicate technical insights and trade-offs to technical and non-technical stakeholders.