About the Team
DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. The Data Platform owns all the infrastructure necessary to run an operationally efficient analytical data stack.
Decision Systems is part of the Data + AI Platform and its goal is to enable Doordash to innovate, optimize and grow with safety and reliability using data driven methodologies. This goal is achieved by building and operating an intelligence & insights driven experimentation platform.
The team consists of engineers who work on the end to end workflow of experiments & feature flags, statistical analysis of experiment data, telemetry, and monitoring of metrics. The team supports these products via user groups, evangelization, consultation, and troubleshooting support for the growing Experimentation needs of the company.
About the Role
As an Engineering Manager of DoorDash’s Decision Systems (aka Experimentation & Insights), your scope and impact will be enormous given the data driven culture and the expanding and complex business and product needs of a growing successful company. This role requires an experienced leader who brings passion, the ability to thrive in a fast paced environment, and the ability to hire, sustain and build a top-class team.
You’re excited about this opportunity because you will…
- Drive vision & strategy for building the experimentation platform charter and position it to handle the challenges of a rapidly growing business.
- Bring your expertise in building and operating high scale systems with a focus on reliability and quality of analyzed data.
- Run a successful team via coaching, mentoring, and providing technical and career guidance.
- Build, sustain, and grow a diverse team to address the growing needs of the organization.
- Collaborate with stakeholders building solutions on top of the platform.
- Foster a positive and supportive work culture.
We’re excited about you because you have…
- B.S., M.S., or PhD. in Computer Science or equivalent
- 10+ years of industry experience
- 5+ years of experience in an engineering management role.
- Prior experience in Systems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems.
- Familiarity with statistical data processing & analyzing tools.
- Familiarity with a cloud based environment such as AWS.
- Experience with building or using A/B testing infrastructure.
- Deep understanding of Statistics, ML/AI, and large scale Data processing.
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