Pinterest is one of the fastest growing online ad platforms and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers / products. Were looking for a leader with experience in machine learning data mining and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. Youll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterests business success.
What youll do :
- 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 engineers. Set technical direction manage project roadmaps and actively guide team execution. Collaborate across Product Engineering Marketing and Sales translating business goals into ML requirements and ensuring solutions meet cross-functional needs
- Product strategy and advocacy. 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)
What were looking for :
M.S / PhD degree in Computer Science Statistics or related field10 years of industry experience building production machine learning systems at scale data mining search recommendations and / or natural language processingExperience in programmatic advertising or information retrieval contexts (RTB DSP / SSP search). Familiarity with ad campaign metrics auction mechanics and yield optimizationExcellent at cross-functional collaboration and stakeholder communicationRelocation Statement :
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.In-Office Requirement Statement :
We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.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.#LI-HYBRID
#LI-SM4
Required Experience :
Director
Key Skills
Go,Lean,Management Experience,React,Node.js,Operations Management,Project Management,Research & Development,Software Development,Team Management,GraphQL,Leadership Experience
Employment Type : Full Time
Experience : years
Vacancy : 1
Monthly Salary Salary : 1 - 2