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Pinterest is looking for an Engineering Manager to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to users, as Pinterest is one of the fastest growing online ad platforms and its success depends on mining rich user interest data.

Requirements

• 7+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
• Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search).
• Familiarity with ad campaign metrics, auction mechanics and yield optimization

Responsibilities

• Manage and grow the engineering team, providing technical vision and long-term roadmap.
• Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP.
• Hire, mentor and grow a team of data scientists and ML engineers.
• Set technical direction, manage project roadmaps, and actively guide team execution.
• Define and evangelize the ML roadmap for programmatic products.
• Present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features)

Other

• M.S/ PhD degree in Computer Science, Statistics or related field
• Excellent at cross-functional collaboration and stakeholder communication.
• This position is not eligible for relocation assistance.
• This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle, Los Angeles.