Engineering Manager, Personalization

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, qu