Senior Product Manager, Trust & Safety, Integrity and Fraud

About The Team

Our Trust & Safety, Integrity and Fraud Product team is dedicated to ensuring a safe and trusted experience for all customers across our platform, including Consumers, Merchants, and Dashers. We tackle complex challenges, from preventing fraud and ATO to ensuring authenticity, to building regulatory compliance capabilities, all while balancing risk mitigation and providing a seamless user experience. Our team partners closely with cross-functional groups, including Engineering, Data Science, Compliance, and Risk Operations, to drive strategic initiatives that protect our business while fostering growth.

About The Role

The DoorDash marketplace is expanding rapidly beyond just restaurants as we become “your door to more." As we add new products, geographies, ways for Dashers to earn, as well as use cases to help consumers save time, we’re expanding and enhancing our fraud capabilities to be best in the industry at keeping our platform safe and trustworthy. We strongly believe that trust is the most important attribute of an online marketplace, and the team ensures that we maintain this trust.

We’re looking for a Senior Product Manager that will lead dedicated cross-functional teams to solve complex challenges that impact Consumers, Dashers and Merchants and touch every corner of our business - from new user onboarding, to the in-app dashing experience, to the products and services being created that our users can’t find anywhere else. We are looking to hire for a few roles, so you’ll either lead a vertical fraud team protecting Consumers or lead a horizontal fraud platform team focused on building our Risk Engine, Data Signals Intelligence and Automation / Anomaly Detection capabilities. The Fraud team is in hyper growth in terms of its size and impact and offers a unique opportunity to set and execute on a vision that will shape the future of DoorDash.

You’re excited about this opportunity because you will…

Set the vision and long-term product strategy for one of our vertical fraud teams or our horizontal platform fraud team.

Develop and execute a customer-focused product roadmap through close collaboration with senior leadership, Operations, Data Science, Analytics, Design, and Engineering all while balancing business needs.

Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of our users

Guide and interface closely with data analysis and engineering teams to define scope, review and refine technical capabilities, prioritize projects for release, and define new opportunities.

Build long-term instrumentation, monitoring, and evaluation capabilities for product performance, tracking, and to create product insights.

Establish business cases and projected return on investment to identify and prioritize opportunities

Partner with Finance and Business Leaders to manage the impact on the profitability of the overall business.

We’re excited about you because you have…

5+ years of product management experience in the tech industry

3 or more years of experience across Integrity/Trust & Safety/Fraud

Experience Defining Strategic Vision And Tactical Execution In A Given Product Area

Experience In Iterative, Agile Software Delivery, Short Release Cycles

Focus and thoughtfulness on data and analytics to solve problems and experience achieving results through continuous improvement

Experience In Effectively Working With Multiple Teams For Collaboration And Company-wide Project Delivery

Tenacity to keep issues top of mind of relevant stakeholders and conviction to stand-by decisions

Time management skills and ability to prioritize independently

Bachelor or Master's degree in Computer Science or data-related domain

Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.

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.

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

.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using

Covey Scout for Inbound

from August 21, 2023, through December 21, 2023, and resumed using

Covey Scout for Inbound

again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed