About The Position

About the Team Our New Verticals Strategy & Operations team is re-inventing the way consumers think about grocery, convenience, alcohol and retail delivery through both our first-party and third-party operations businesses. DashMarts are our first-party offering designed to provide on-demand deliveries by selling household essentials, groceries, brand-name favorites, local favorites and so much more. The end to end DashMart experience is powered through DoorDash. Third-party partnerships enable us to offer on-demand deliveries from both SMB and enterprise merchants across grocery, convenience alcohol and retail storefronts. The merchants own the inventory, we fulfill and deliver them! This team is the heartbeat of the New Verticals Strategy & Operations team that enables us to power a robust logistic platform through a high-quality, speedy and efficient network - for both DashMarts and third party partners. About the Role The New Verticals Logistics team’s goal is to drive efficiency while improving the quality and speed of New Vertical’s deliveries. Together, we're building the world's most reliable same-day logistics platform to fulfill our vision of empowering all local businesses. The projects we work on are diverse and have the potential to impact each side of our marketplace - from Dashers, to Consumers, to Merchants. We are hiring a few Associate Managers that will focus on crafting and executing on how we win in some of our most strategic markets to how we strategize and plan to reach efficiency goals, all while ensuring sustainable yet strong growth for the business. You will report to a Senior Manager within our Central Strategy & Operations team. This is a non-technical role and sits under our Strategy & Operations job family, under the office of the COO. We operate in a hybrid model - you will spend some time in your home office, in person via offsites and testing products in the field - across DashMarts and third-party stores. You’re excited about this opportunity because you will… Operate. You will understand the forecasting systems that power our business inside and out — serving as the DRI for forecast accuracy and continuously improving how we predict demand and labor needs. Experiment. You will identify forecast variance drivers, develop hypotheses, and test model and product changes in partnership with Product, Engineering, and Data Science — including leveraging AI-enabled forecasting tools. Scale. You’ll transform analytical insights into operational experiments that create measurable and scalable improvements in forecast precision. Build. You’ll do whatever it takes to launch and maintain forecasting enhancements — from writing complex SQL queries to drafting product requirements and supporting GTM efforts. Analyze. You’ll assess the operational and financial impacts of forecast improvements, model tradeoffs, and iterate based on data. Lead and collaborate. You’ll influence a cross-functional team, including local operations, engineering, product, and data science, driving alignment on roadmap priorities.

Requirements

  • You’re analytical. You have a strong analytical background, advanced SQL proficiency, and a deep understanding of AI tooling. You have past experience building models from scratch, you use data to forecast outcomes.
  • You solve problems from first principles. You’re excited to solve forecasting and operational problems in innovative ways, and you resist “this is how it’s always been done” thinking.
  • You’re equally comfortable operating at 10,000 feet and 1 foot. You don’t hesitate to get in the weeds with SQL and data analysis, but you’re just as comfortable influencing roadmap discussions and strategic priorities.
  • You have strong business acumen and understand how forecast decisions impact cost, service levels, and network performance.
  • You have 4-6+ years of professional experience. Ideally you have experience in product operations, financial services, logistics, consulting, engineering, launch operations, or business operations.
  • You have a completed Bachelor’s Degree.

Responsibilities

  • Operate. You will understand the forecasting systems that power our business inside and out — serving as the DRI for forecast accuracy and continuously improving how we predict demand and labor needs.
  • Experiment. You will identify forecast variance drivers, develop hypotheses, and test model and product changes in partnership with Product, Engineering, and Data Science — including leveraging AI-enabled forecasting tools.
  • Scale. You’ll transform analytical insights into operational experiments that create measurable and scalable improvements in forecast precision.
  • Build. You’ll do whatever it takes to launch and maintain forecasting enhancements — from writing complex SQL queries to drafting product requirements and supporting GTM efforts.
  • Analyze. You’ll assess the operational and financial impacts of forecast improvements, model tradeoffs, and iterate based on data.
  • Lead and collaborate. You’ll influence a cross-functional team, including local operations, engineering, product, and data science, driving alignment on roadmap priorities.

Benefits

  • In addition to base salary, the compensation for this role includes opportunities for equity grants.
  • DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act).
  • DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
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