Teams at Quora

Lead the technical direction of Quora’s recommendation ecosystem, including feed retrieval, ranking, re-ranking, optimization, data pipelines, feature engineering, model training, and production integration. Drive measurable improvements through experimentation, apply generative AI, mentor engineers, and partner across product, data science, and infrastructure teams.

Lead growth initiatives for Quora’s core web and mobile products, owning acquisition, activation, and early retention. Partner with engineering, design, data science, and product operations to define objectives, build experiences, run experiments, analyze user insights, and identify strategic growth opportunities. The role requires influencing cross-functional teams, expanding reach to new demographics, and driving measurable user growth through qualitative and quantitative research.

Own and improve Quora’s second-phase ranking models for feed and digest experiences. Build end-to-end machine learning systems covering data pipelines, candidate extraction, feature engineering, model training, and production integration. Identify new product applications for machine learning, develop efficient algorithms with other ML engineers, and contribute methodologies for large-scale recommendation systems.