Senior Manager, Finance & Strategy - Digital Ordering - SaaS

Role Description

We are looking for someone who will help guide our global strategy. You will be a strategic advisor to important partners across DoorDash to ensure we are making the most efficient investment and capital allocation decisions across the geographies in which we operate while improving the experience for all of our marketplace participants. You will help lead financial reporting and planning, and will guide financial insights and direction for our operational decisions and strategies.

This role reports to a Senior Director in our Finance & Strategy organization and is remote-friendly within the United States.

You’re excited about this opportunity because you will…

• Partner with senior leadership to help guide and run our Digital Ordering business, implementing, measuring and optimizing the SaaS and transactional components of the business.
• Own the global financial performance picture for this business line and understand the levers to optimize our approach to balancing global growth vs. profitability.
• Track and analyze key business/financial KPIs, including SaaS specific metrics, uncover trends and assess current/future business risks and opportunities.
• Support DoorDash’s quarterly financial planning, collaborate with cross functional business partners to identify growth areas and business priorities.
• Leverage and apply knowledge of SQL, finance, analytics, and AI technology to manage financial reporting, forecasting, and quantitative analysis to assist DoorDash in making better business decisions.
• Deep-dive into complex operational questions and collaborate cross-functionally outside Finance with Strategy & Operations, Go-to-Market teams, Revenue Operations and Product, as well as within Finance (Accounting, Analytics, BI) to uncover the most optimal data-driven business decisions and investments.

Qualifications

• 9+ years of experience in Strategic Finance, Corporate Finance, Investment Banking, or Consulting at a high-growth technology startup or well-established company, including at least 3+ years of SaaS/Software experience. Restaurant tech experience, including Point of Sale, a plus.
• Experience working with (and presenting to) Cross-functional Senior Stakeholders.
• Thrives when building & incubating newer businesses – creating frameworks, templates, metrics and longer-range goals to leverage for your line of business.
• Specific experience partnering with Go-to-Market teams and implementing SaaS unit economics, metrics and tracking (MRR, NRR/GRR/Churn, LTV:CAC, GTM performance indicators).
• Advanced Excel (can maintain complex spreadsheets) and financial modeling skills. Experience building financial models used by teams throughout the company, and to size the impacts of opportunities and business cases for pursuing new projects.
• Experience using analytics & AI tools. Experience manipulating large datasets, uncover hidden insights in our data, and improve our understanding of our business through this process.

Requirements

• 10+ years of experience designing and scaling distributed data systems, with deep expertise in NoSQL technologies like Apache Cassandra, DynamoDB, or ScyllaDB.
• Strong command of distributed system concepts such as replication, partitioning, tunable consistency, and failure recovery.
• Led data modeling efforts for high-throughput, low-latency workloads and understand the real-world trade-offs involved in NoSQL schema design.
• Experienced with caching technologies like Redis or Memcached and know how to layer them effectively over storage systems to optimize for performance and cost.
• Customer-first mindset, thriving when working closely with product and platform teams to translate complex requirements into clean, scalable data models.
• Skilled at communicating complex architecture decisions and building alignment across infrastructure and product engineering organizations.
• Track record of mentoring engineers, influencing data architecture at scale, and fostering best practices in reliability, observability, and data access patterns.
• Document decisions, share learnings, and take pride in contributing to reusable playbooks and durable frameworks for others to build upon.

Benefits

• Comprehensive benefits package including a 401(k) plan with employer matching.
• 16 weeks of paid parental leave.
• Wellness benefits and 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.