Associate Manager, Strategy & Operations – Dasher & Logistics

About the Team

The Dasher & Logistics team ensures every delivery is completed with speed, accuracy, and a positive experience for consumers, merchants, and Dashers. We own the health of our delivery marketplace — including cost, quality, efficiency, fulfillment, and sustainable growth.

Within this organization, the Canada team owns end-to-end marketplace performance for the country. We partner closely with Product, Engineering, Finance, Analytics, Marketing, and Operations to operate and improve one of DoorDash’s most dynamic and complex markets.

About the Role

We're hiring an Associate Manager, Strategy & Operations to help manage Dasher supply and delivery quality across Canadian markets. This role sits at the intersection of operational execution and marketplace health, and is accountable for ensuring the right number of quality Dashers are available to meet demand reliably across geographies and conditions.

You will translate company and regional goals into clear supply strategies, balancing Dasher acquisition, mobilization, and retention to maintain a healthy and high-performing supply base. You will manage key supply levers, including onboarding pipelines, retention programs, and regional coverage optimization. Your work will require a sharp understanding of what drives Dasher behavior and engagement, and how to design programs that attract and retain quality Dashers at the right time and place.

Success in this role means building and managing supply frameworks that consistently meet demand while maintaining strong delivery quality, even as market conditions, seasonality, and external factors shift. You will lead structured analyses to identify supply gaps, diagnose root causes, and drive durable improvements in coverage and quality across geographies.

You will report into a Manager of Strategy & Operations. We expect this role to be hybrid with some time in-office and some time remote.

You’re excited about this opportunity because you will…

• Own Dasher supply health across Canadian markets, managing across acquisition, mobilization, and retention to ensure demand is reliably met with strong quality
• Diagnose and close supply gaps across regions, using data to identify root causes and deploy targeted interventions across different market conditions
• Design and optimize programs that attract and retain quality Dashers, understanding what drives engagement and how to sustain a healthy supply base over time
• Manage supply across varying operating conditions including weather, local events, and seasonal demand shifts, balancing short-term actions with longer-term planning
• Lead rigorous, data-driven analyses to measure supply performance, model the impact of program changes, and surface clear recommendations for senior stakeholders
• Partner cross-functionally with Product, Finance, Analytics, Legal, and Operations to align on supply strategy and deliver shared outcomes
• Make thoughtful tradeoff decisions between supply adequacy, delivery quality, and cost to protect long-term marketplace health

We’re excited about you because…

• You have 5+ years of experience in strategy, operations, consulting, technology, finance, or a related field
• You have managed complex operational areas with accountability for quality and measurable outcomes
• You are highly analytical and comfortable using data and AI tools to diagnose issues, prioritize actions, and measure impact
• You have experience operating in fast-moving, ambiguous environments with multiple competing priorities
• You are comfortable collaborating cross-functionally and aligning stakeholders around clear decisions

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.

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 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.  

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem.

How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool  in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page.