Manager, Dasher & Logistics Strategy & Operations

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.

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.

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.

• Shape business strategy by combining data, marketplace insights, and first-principles thinking to identify the highest impact opportunities to improve Dasher retention
• Drive ideas from concept to scale by incubating, testing, and scaling 0-1 programs, partnerships, and operational bets that improve key KPIs and the overall Dasher experience
• Collaborate cross-functionally with Product, Engineering, Marketing, and Support in order to bring your ideas to life
• Represent the Dasher voice across the organization by building the tools, processes, and feedback loops that keep stakeholder decisions grounded in Dasher needs

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.

You’ll serve as a hands-on architect and technical partner to product engineering and infrastructure teams, helping translate complex business requirements into resilient and scalable data models. Your work will directly influence the evolution of Taulu, DoorDash’s unified storage abstraction layer, by shaping best practices and identifying platform gaps through real world engagements.

This is a high-impact, cross functional role that combines deep technical expertise with a customer centric approach. You’ll lead solutioning engagements from design through production, drive the adoption of Taulu modeling best practices, and ensure that our systems meet goals around reliability, cost efficiency, and velocity. You must be located in San Francisco, Sunnyvale, Seattle or New York for this hybrid opportunity. 

• Design and implement highly scalable, fault tolerant distributed database solutions using Taulu, Apache Cassandra, Redis, Kafka, and other paved path storage solutions. 
• Architect and optimize multi-region, globally distributed systems to meet our high standards for availability, latency, and throughput.
• Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads.
• Partner with product engineering and infrastructure teams to deeply understand domain specific data needs and guide them in adopting paved path storage solutions.
• Serve as the DRI for solutioning engagements, owning modeling in Taulu from experimentation through launch and scale.
• Shape the evolution of Taulu by identifying abstraction gaps and converting customer feedback into platform improvements.
• Apply workload-aware design patterns, including caching strategies, partitioning, and consistency tuning to improve performance and efficiency.
• Drive adoption of operational best practices across observability, schema design, capacity planning, and cost optimization across storage systems.
• Promote clarity and continuity by contributing to solutioning playbooks, decision logs, and architectural documentation.

• 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/Excel)
• You are a storyteller and clear communicator who can pair quantitative and qualitative insights and turn them into narratives that motivate others to act.
• You can flex between high-level strategy and ground-level execution, and you don’t hesitate to get your hands dirty to deliver results.
• You have a Bachelor’s Degree in a related field; Master’s Degree preferred but not required.

• 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.
• You document decisions, share learnings, and take pride in contributing to reusable playbooks and durable frameworks for others to build upon.
• Bonus: You’ve worked on or contributed to open-source distributed databases.  

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