Engineering Manager, Ads Quality

About the Team

The mission of the Ads Quality team is to show the most relevant ads and promotions to our users across all our verticals, ad formats for both search (query context) and discovery experiences. This team owns the full lifecycle of the ads delivery funnel—from large-scale retrieval to deep-learning-based ranking.

We’re looking for an Engineering Manager with hands-on experience in modern machine learning and recommendation systems to lead a team that develops advanced machine learning models to show the most engaging and relevant promoted content to the users.

Ads Quality is a critical part of the Ads Delivery funnel with deep personalization playing a central role. 

About the Role

• Manage a growing team of ML and backend engineers
• Continue to build a team that can support end-to-end execution of ranking, retrieval, GenAI initiatives for deeply personalized promoted content.
• Support a culture of analytical rigor and systems understanding.
• Understand and advocate for the needs of Consumers, Advertisers and Doordash
• Work closely with product managers on roadmap development, set the technical direction
• Coach and mentor team members and help 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
• Work with Product, Design, and Business stakeholders across DoorDash to define the roadmap and vision for the team to drive strong business impact.
• Encourage innovation, implementation of cutting-edge technologies, first-principles thinking and teamwork
• Build an outstanding team by coaching and empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards
• Scale the team by developing internal, and attracting top external talent

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
• 2+ 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 or Foundation models is a big plus
• Ability to guide and grow an excellent engineering team in a rapidly changing business environment

 

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

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