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Strategy & Operations is the engine that drives DoorDash's business forward, owning high-priority problem areas, developing strategy, and driving measurable business outcomes. DoorDash invests deeply in this function because of our belief in an ownership mentality — our teams are expected to both define the strategy and execute it. The DoubleDash S&O team focuses on scaling multi-vertical growth by improving how customers discover, add on to, and complete orders across the DoorDash marketplace. We partner closely with Product, Pricing, Finance, Analytics, and Operations to drive improvements in revenue, cost efficiency, and customer experience through a mix of strategy, analytics, operational changes, and product launches.
Job Responsibility
Identify and solve complex business problems by framing the right questions, analyzing data, and translating insights into clear recommendations and actions
Own and build critical components of the DoubleDash experience, driving initiatives end-to-end from sizing and planning through launch and iteration
Partner cross-functionally with Product, Pricing, Finance, Analytics, and Operations to align on priorities, navigate tradeoffs, and execute effectively
Expand scope and impact over time by taking on new problem areas and contributing to high-visibility initiatives that shape DoorDash's marketplace strategy
Pioneer the use of AI-powered tools and agentic workflows to accelerate analysis, automate reporting, and deliver step-change improvements in team throughput
Requirements
4+ years of experience in strategy & operations, product ops, growth, or a similar analytical role within a marketplace or consumer technology environment
Deeply analytical, with strong SQL skills and hands-on experience designing, executing, and reading out A/B tests or experiments in a product context
Product sense — understand product lifecycles, can QA a feature with a critical eye, and know how to translate data into recommendations
Comfortable working through ambiguity — defining metrics where none exist, scoping problems that aren't fully formed, and making progress with imperfect information
Self-starter with a bias toward action who takes ownership of outcomes and thrives in fast-moving environments
Comfortable working with AI, leveraging tools like Cursor and Claude Code to multiply analytical output and drive measurable business outcomes