Posted 7 Oct 2024, 11:00 am

Engineering Manager Ads Economics at DoorDash USA

About the Team

The mission of the Ads Economics team is to ensure we maintain a healthy ads marketplace across all our verticals for both search (query context) and discovery experiences while fulfilling the requirements of all players in this marketplace. 

Ads Economics is a critical part of the Ads Delivery funnel with a broad charter responsible for Budget Pacing, Bidding, Ads Experimentation, Forecasting, Pricing and Ads Experimentation. 

The opportunity is massive as DoorDash expands into new verticals like Grocery and Retail while building unique innovative ad products to leverage the closed loop marketplace.

About the Role

  • Lead and grow a team of exceptional machine learning researchers and engineers while maintaining our commitment to diversity and inclusion
  • Support and nurture a culture of analytical rigor and systems understanding
  • Understand and support the needs of all players in the ads marketplace – consumers, advertisers and doordash
  • Work closely with product managers on roadmap development, set the technical direction and vision for the team
  • Nurturing team members and helping them develop their career path and achieve their career goals

You’re excited about this opportunity because you will…

  • Lead and grow a team of exceptional machine learning engineers delivering end-to-end ML solutions to support the growth of the business
  • Work with product and various partner engineering teams to define the roadmap and vision for the team to drive end-to-end business impact
  • Encourage innovation, implementation of cutting-edge technologies, first-principles thinking and teamwork
  • Build 0-1 solutions in a fast growing ads marketplace

We're excited about you because you have… 

  • M.S., or PhD. in Computer Science or equivalent
  • 5+ years of industry experience building production machine learning systems at scale including familiarity with fundamentals of probability theory, statistics, and machine learning
  • 1+ years of leadership experience leading 6+ member teams
  • Strong communication skills and the ability to partner with XFN teams across product, data science and business
  • Experience with Ads domain is not mandatory but a big plus
  • Ability to guide and grow an excellent engineering team in a rapidly changing business environment

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