About the Team

The Experimentation & Metrics Platform team develops an industry-leading platform that enables data scientists, ML engineers and non-technical users to design, run and analyze experiments and conduct exploratory and causal analysis. At DoorDash, where we run thousands of experiments per month, our mission is to equip all decision makers with rigorous, data-driven insights by democratizing experimentation with quality and velocity. The team consists of a mix of experienced veterans of backend, web, statistical and data infra engineers that works closely with the data science community. 

Some of the interesting work done in the team was published in articles such as:(1)  Meet Dash-AB-The Statistics Engine of Experimentation at DoorDash, (2) Supporting Rapid Product Iteration with an Experimentation Analysis Platform, (3) Experiment Faster and with Less Effort, (4) Interleaving designs, (5) Fractional Factorial Design for Business Policy. We help enable and unlock interesting solutions our product teams use such as (3) The 4 Principles DoorDash Used to Increase Its Logistics Experiment Capacity by 1000%, (4) Improving Online Experiment Capacity by 4X with Parallelization and Increased Sensitivity, etc.

About the Role

As an Engineering Manager of DoorDash’s Experimentation & Metrics, 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. Given the scope and impact, 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 and metrics platform charter and position it to handle the challenges of a rapidly growing business You will bring your expertise in building and operating high scale systems with a focus on reliability and quality of analyzed data A well run, 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 3+ 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 these specific technologies is not required but helpful Building or using A/B testing infrastructure. Deep understanding of Statistics, ML/AI and large scale Data processing

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