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Engineering Manager, Ads Marketplace

 

Engineering Manager, Ads Marketplace

San Francisco | California | United States

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. As a Pinterest employee, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping users make their lives better in the positive corner of the internet. Within the ads quality team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. You will lead a team of engineers that is responsible for the development of the Ads marketplace at Pinterest. Using your strong analytical skillsets, a thorough understanding of auction mechanisms, and experience in managing an engineering team, you will advance the state of the art in Marketplace design and yield management. This is a unique position where you’ll get the freedom to work across the organization to bring together Pinners and partners in this unique marketplace.

What you’ll do:

  • Manage a team of engineers with a background in ML, backend development, economics, and data science.
  • Build and improve the auction mechanism and utility functions to maximize value for Pinners, Partners and Pinterest.
  • Develop and Execute a vision for the Ads Marketplace.
  • Develop yield management strategies to balance long and short term business objectives.
  • Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.

What we’re looking for:

  • Ph.D. degree in Economics, Statistics, Computer Science or related field
  • 6+ years of relevant industry experience
  • 3+ years of management experience
  • Hands-on experience with building large-scale online auctions.
  • Strong mathematical skills with knowledge of statistical models (RL, DNN)
  • XFN collaborator and a strong communicator

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