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.

You’re excited about this opportunity because you will…

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 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 SQLAbout 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.

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.

You’re excited about this opportunity because you will…

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.

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.

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

.

Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

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.

To learn more about our benefits, visit our careers page

here

.

See Below For Paid Time Off Details

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).

The national base pay range for this position within the United States, including Illinois and Colorado.

$136,000

—

$200,000 USD

About Doordash

At DoorDash, our mission to empower local economies shapes how our team members mov