Teams at Pinterest

Leads strategic qualitative and mixed-methods research for Pinterest Ads, uncovering advertiser and user needs, shaping product strategy and roadmaps, and influencing senior leadership. Owns research agendas, selects appropriate methods, synthesizes findings, presents recommendations, leads cross-team initiatives, evaluates sustained research investments, applies AI to research workflows, and mentors researchers. Partners closely with Product, Design, Engineering, Data Science, and quantitative researchers.

Design, implement, and optimize Pinterest’s large-scale batch processing infrastructure. The role focuses on Spark, Presto/Trino, Iceberg, and other big data technologies operating across hundreds of petabytes. Responsibilities include collaborating with data stakeholders, leading technical initiatives, mentoring engineers, and ensuring data systems are reliable, scalable, and efficient.

Own the strategy and execution of Pinterest advertising products that use identity, conversion, and measurement signals to improve customer acquisition, incrementality, and bidding optimization. Lead multi-quarter product roadmaps and collaborate with engineering, data science, design, research, marketing, sales, legal, privacy, and policy teams. Develop privacy-durable measurement solutions grounded in attribution, experimentation, causal measurement, and advertiser business outcomes.