Product Manager, Machine Learning and Forecasting Platform
San Francisco, CA; Austin, TX; Chicago, IL; Los Angeles, CA; Seattle, WA; New York City
DoorDash
When you join our team, you join our dream: to grow and empower local economies. We’re focused on improvement—from moving faster to leveling up the quality of our product—and our work is never complete. If you’re looking to define your career...The Data team at DoorDash delivers the end-to-end capabilities that enable data-fueled business decisions and delightful customer experiences. We are a stellar team of experienced data product leaders, working to define and build on our vision of connecting local delivery networks in cities all across the world.
About the RoleAt DoorDash, we're redefining the future of on-demand delivery. We're building a stellar team of experienced data product leaders to define and build on our vision of connecting local delivery networks in cities all across the world.
We are looking for a seasoned product manager to lead our Machine Learning (ML) and Forecasting platforms. Forecasting is critical to both automated and strategic decision making at DoorDash. You will help deliver billions of predictions every day by accelerating development, deployment, and scaling of our ML infrastructure. In this role, you will work closely with our data platform, Data Science and ML engineering, and the consumer product teams to deliver business impact across all pillars of the DoorDash marketplace. You will think holistically and understand the business deeply to set the right long-term strategy. The role requires a mix of great technical depth, principled thinking and well-honed product judgment.
You’re excited about this opportunity because you will…- Drive vision, strategy, and roadmap across forecast model training and deployment platforms
- Understand the needs of the entire DoorDash product ecosystem across consumers, dashers, and the merchants
- Deliver detailed product requirements and user stories for the engineering and data science/ML partners
- Deliver outstanding customer experiences through design, quality, performance, and reliability
- Help drive business goals by iterative improvements grounded in data
- Build empathy between product teams and engineering through clear expectations and shared understanding
- You have 7+ years of industry experience / 3+ years of experience in product management in data and Machine Learning
- You have experience in Data Science and ML technical stack, and software development processes
- You have experience working with engineering teams to design and build products in a fast-paced environment
- You understand Data Platforms, Machine Learning Frameworks, and common ML deployment patterns (e.g. batch and real-time serving)
- You have strong verbal and written communication skills; you know how to work with individual contributors and senior leaders
- You have empathy for the users you build for
- You are passionate about DoorDash and the problem we are solving
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Tags: Engineering Excel Machine Learning ML infrastructure Model training
Perks/benefits: Career development Parental leave Wellness
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