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Pinterest is seeking a Senior Director of Product Management for Ads Quality to lead a team of 10–15 Product Managers. This role involves defining product strategy, shaping the ML/AI roadmap, and driving advertiser value. Candidates need 15+ years of experience in product leadership and advertising technology.
Pinterest is seeking a Vice President of Ads Quality Engineering to lead its AIML engineering division. This executive role requires 15+ years of industry experience and 10+ years in management to drive monetization and AI innovations. The position is hybrid, based in San Francisco, Palo Alto, Seattle, or Los Angeles.
Pinterest is seeking a PhD Fall Machine Learning Intern for its Advance Technology Group. Candidates will work on visual understanding modules and recommender systems across San Francisco, Palo Alto, Seattle, or New York offices, or remotely. The 12-week paid internship runs from September to December 2026.
Pinterest is seeking a Manager II for Machine Learning-Search to lead the search backend team across Palo Alto and Seattle. The role involves managing indexing, ranking, personalization, and ML-based retrieval for over 450 million users. Candidates must have experience leading large-scale production systems and utilizing AI coding assistants.
Staff Data Engineer role at Pinterest's tvScientific division focusing on robust data infrastructure. Responsibilities include designing scalable pipelines using AWS, Spark, and Scala. Hybrid/Remote position offering competitive compensation.
Senior Data Engineer role at Pinterest's tvScientific division focused on building robust data infrastructure. Implements scalable data pipelines using AWS, Spark, and Scala while collaborating with cross-functional teams. Remote/Hybrid opportunity in the US with competitive compensation.
Pinterest is seeking a Staff Data Engineer for the tvScientific team to lead identity services and data governance. This role involves designing scalable identity resolution platforms and ensuring privacy-safe data practices. Candidates must have strong experience in Spark, Scala, and AWS.