Engineering Manager, Personalization

Role details

About the Team DoorDash is looking for an Engineering Manager with an ML background to lead the Personalization engineering team. This team is responsible for building ML ranking and recommendation systems to maximize the value for consumers, merchants, and DoorDash. Our Personalization team is a part of our Core Consumer org which owns the top of the conversion funnel from the initial landing page all the way to checkout across platforms. Personalization is at the center of the team’s mission. As DoorDash expands into new verticals and experiences like grocery, reservations, and going out, the challenge of helping consumers easily find what they want grows exponentially, so the opportunity is massive! In 2027, we’re reimagining personalization from the ground up: an intent agent that predicts, at app open, what each consumer is here for; semantic understanding of every entity we rank; a blender that blends content from different verticals and business lines, like reservations, going out, and ads; and real-time ranking that adapts as consumer signals happen. About the Role You will lead a team of world-class ML engineers redefining the personalization experience for DoorDash through cutting-edge technologies. You will also be the key player in defining DoorDash’s personalization strategy and technology roadmap. You’re excited about this opportunity because you will… Build an intent agent that makes granular predictions of what each consumer is here for the moment they open the app, and shapes the experience around it Leverage cutting-edge LLM and Deep Learning (GNN, MTL, Transformers) to augment DoorDash’s personalization stack, starting with semantic understanding of every entity we rank, so our models understand what consumers want and what we offer, not just what they clicked before Extend the blender to blend content from different verticals and business lines, like reservations, going out, and ads, balancing value for consumers, merchants, and DoorDash Take personalization to real-time ranking that reacts to consumer signals as they happen Lead and grow a team of exceptional machine learning engineers delivering on end-to-end personalization experience with state-of-the-art ML approaches Work with Product, Design, and Business stakeholders directly across DoorDash to define the roadmap and vision for the team and deliver immense impact Encourage innovation, implementation of cutting-edge technologies, outside-of-the-box thinking and teamwork Build an outstanding team by coaching and empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards Scale the team by developing internal talent and attracting top external talent We're excited about you because you have… B.S., M.S., or PhD. in Computer Science or equivalent 7+ years of industry experience Minimum of 2 years of leadership experience Broad knowledge of machine learning with strong ML modeling foundation Extensive experience in building user-facing product and working directly with product managers Strong communication skills and the ability to partner with teams spanning many disciplines Ability to guide and grow an excellent engineering team in a rapidly changing business environment Nice to have Experience leading the successful application of machine learning to real-world ranking and recommendation problems Experience with LLM-powered agents, semantic representations of users and content, multi-objective blending, or real-time ML systems 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. $193,800 - $285,000 USD About DoorDash 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 by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order 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 career