I went straight to merchant acquisition and kind of talked in circles for a bit before landing on something more coherent about expanding into underpenetrated suburban markets.
Start by framing the goal: DoorDash's growth is driven by expanding merchant selection, improving logistics efficiency, and increasing order frequency. Then propose investing in a specific area that leverages your engineering expertise, such as AI-driven logistics optimization or merchant self-service tools, and justify it with clear metrics and expected impact.
Pro tip: Tie your proposal to DoorDash's core flywheel: more merchants lead to more selection, which drives more customers, which attracts more Dashers. Show how your investment accelerates that loop.
Define what 'growth' means for DoorDash: user acquisition, order frequency, market expansion, or profitability. Choose one primary metric to focus on.
Analyze current pain points in the customer, Dasher, or merchant experience that limit growth, such as delivery times, selection gaps, or high acquisition costs.
Suggest a concrete engineering initiative, like building an ML model to optimize Dasher routing or a platform for merchants to easily onboard and manage their menus.
Estimate the potential ROI using metrics like reduced delivery time, increased order volume, or cost savings, and explain how you would measure success.
Acknowledge potential challenges, such as technical complexity or adoption barriers, and propose mitigation strategies.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.