Manager, Dasher & Logistics Strategy & Operations
About the Team
The Dasher & Logistics team supports the millions of Dashers who power DoorDash's marketplace. We're building the world's leading last-mile logistics platform — and at the center of that is creating the best experience for gig workers to achieve their financial goals. We own the full Dasher lifecycle — from acquisition and onboarding, to earnings and order assignment, to rewards and recognition for the best Dashers. We partner closely with Product, Engineering, Marketing, and Support in order to create a seamless experience for Dashers, whether it be their first dash or their 500th.
About the Role
You will play an integral role in shaping our Dasher strategy at DoorDash. Your primary goal will be to improve Dasher retention and engagement by identifying key pain points, getting deep into how the system operates on the ground, and translating those insights into high-impact bets that improve the Dasher experience. You’ll define what a great Dasher experience looks like in practice, build the programs and partnerships that support it, and develop the tools and feedback loops needed to measure Dasher sentiment and ensure the Dasher voice is represented in key decisions across the organization. You’ll scale impact through close collaboration with cross-functional teams. Success in this role means building a stronger, more engaged Dasher ecosystem that improves marketplace reliability and creates long-term value across DoorDash’s audiences. You will report directly into a Director on our Dasher & Logistics team within the Strategy & Operations organization.
We’re Excited About You Because...
- You have 5+ years of experience in high-growth environments (tech, fintech, strategy & ops, consulting, banking, policy, nonprofit)
- You are curious, entrepreneurial, and thrive in zero-to-one environments. You are a self starter who is energized by a difficult problem and you aren’t afraid to get your hands dirty or try new things in order to create the future.
- You are an exceptional problem solver who thrives on data-driven decision-making (comfortable with SQL)
About the Team
The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering’s evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers.
About the Role
We’re hiring a Data Solutions Engineer with deep expertise in distributed databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic abstractions. In this role, you will design, optimize, and scale distributed data access layers that power DoorDash’s most critical systems, ensuring high availability, low latency, and fault tolerance.
We’re Excited About You Because...
- You have 10+ years of experience designing and scaling distributed data systems, with deep expertise in NoSQL technologies like Apache Cassandra, DynamoDB, or ScyllaDB.
- You have a strong command of distributed system concepts such as replication, partitioning, tunable consistency, and failure recovery.
- You’ve led data modeling efforts for high-throughput, low-latency workloads and understand the real-world trade-offs involved in NoSQL schema design.
- You are experienced with caching technologies like Redis or Memcached and know how to layer them effectively over storage systems to optimize for performance and cost.
- You have a customer-first mindset, and thrive when working closely with product and platform teams to translate complex requirements into clean, scalable data models.
- You are skilled at communicating complex architecture decisions and building alignment across infrastructure and product engineering organizations.
- You have a track record of mentoring engineers, influencing data architecture at scale, and fostering best practices in reliability, observability, and data access patterns.
- Bonus: You’ve worked on or contributed to open-source distributed databases.