DoorDash USA
Engineering Manager, Ads Economics
DoorDash USA, Sunnyvale, California, United States, 94087
About the Team
Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.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.
Nurture 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 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.
CompensationThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary.
Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
#J-18808-Ljbffr
Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.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.
Nurture 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 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.
CompensationThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary.
Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
#J-18808-Ljbffr