Senior Associate, New Verticals - Central Strategy & Analytics

About the role

We're looking to hire a few Senior Associates within our Central Strategy & Operations that will help shape our strategy around delivery and labor efficiency, leveraging both operational and product levers to build logistics systems and frameworks.

Responsibilities

• Translate complex data into actionable insights and initiatives that improve efficiency, elevate the customer experience, and strengthen our bottom line.
• Partner cross-functionally with Product, Engineering, Analytics, and Finance to design new systems, optimize existing operations, and ensure continuous improvement.
• Drive initiatives from concept through execution, unlocking meaningful improvements that enhance both operational performance and user experience.
• Build and operate online stateful systems and abstractions that are reliable, efficient, secure, and easy to use for DoorDash Engineering.
• Design, optimize, and scale distributed data access layers that power DoorDash's most critical systems, ensuring high availability, low latency, and fault tolerance.

Requirements

• Strong ownership, strategic thinking, and analytical rigor.
• Experience in product operations, logistics manufacturing, engineering, or business operations.
• Experience in grocery warehousing or online micro-fulfillment centers is preferred.
• Completed BS/BA Degree preferably in Industrial Engineering, Supply Chain or a related field.

Qualifications

• Solve problems from first principles.
• Comfortable operating at 10,000 feet and 1 foot.
• Unafraid of ambiguity.
• Analytical.
• 4-6+ years of professional experience.

Skills

• Deep expertise in distributed databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic abstractions.
• Experience in designing, optimizing, and scaling distributed data access layers.
• Experience in data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads.
• Experience in partnering with product engineering and infrastructure teams to deeply understand domain-specific data needs.
• Experience in leading data modeling efforts for high-throughput, low-latency workloads.
• Experience in applying workload-aware design patterns, including caching strategies, partitioning, and consistency tuning to improve performance and efficiency.
• Experience in driving adoption of operational best practices across observability, schema design, capacity planning, and cost optimization across storage systems.
• Experience in promoting clarity and continuity by contributing to solutioning playbooks, decision logs, and architectural documentation.

Benefits

• Comprehensive benefits package including 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, medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program.

Pay

Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. Base salary is localized according to employee work location.

Schedule

To learn more about our benefits, visit our careers page here.