Engineering Manager, Personalization

DoorDash, Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Francisco, CASunnyvale, CA
Salary
$193,800–$285,000 / yr
Posted
5 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $239k
This role $239k
$182k $296k
below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $196,625–$281,300 — the blue band above. At the midpoint, this role pays about $239k versus about $239k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 97 open roles on FindRole.

Listed pay typically runs $163,800–$240,900 across 96 roles with salary data.

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At a glance

TL;DR · Engineering Manager, Personalization

Engineering Manager, Personalization leads the Personalization engineering team within the Core Consumer organization. This role involves managing a team of machine learning engineers to build and redefine ranking and recommendation systems that maximize value for consumers, merchants, and the business. You will develop an intent agent for granular consumer predictions, implement semantic understanding of ranked entities, and extend a blender to integrate content from various verticals like reservations and ads. The work focuses on transitioning to real-time ranking that reacts to live consumer signals. Key technologies and skills include LLMs, Deep Learning, GNNs, MTL, and Transformers. You must possess a strong machine learning modeling foundation, experience in building user-facing products, and the ability to lead teams in a rapidly changing business environment.

What does a Engineering Manager earn in California?

Median $279400 from 84 postings across 24 companies.

See salary data

What you'll do

  • Build an intent agent to predict consumer needs and shape the app experience at launch.
  • Implement LLMs and Deep Learning to provide semantic understanding of ranked entities.
  • Extend the content blender to integrate various business lines like reservations and ads.
  • Develop real-time ranking systems that react instantly to live consumer signals.
  • Lead and grow a team of ML engineers to deliver end-to-end personalization experiences.
  • Define the personalization strategy and technology roadmap with Product and Design stakeholders.
  • Coach and empower engineers through delegation and high engineering standards.
  • Scale the team by developing internal talent and recruiting top external candidates.

What we're looking for

  • 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 a strong ML modeling foundation.
  • Extensive experience building user-facing products and working directly with product managers.
  • Strong communication skills and the ability to partner with teams across many disciplines.
  • Ability to guide and grow an engineering team in a rapidly changing business environment.
  • Experience leading ML for ranking and recommendation problems, or with LLM-powered agents and real-time ML systems (preferred).

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