Manager, Analytics, Customer Experience

DoorDash, Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Francisco, CASunnyvale, CASeattle, WANew York, NYChicago, ILAustin, TX
Salary
$184,300–$271,000 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $228k
$151k most similar roles pay here $284k

This role pays more than 75% of similar roles. Most pay $165,375–$227,250 — the shaded band above. At the midpoint, this role pays about $228k versus about $196k 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 183 open roles on FindRole.

Listed pay typically runs $148,200–$218,000 across 161 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Manager, Analytics, Customer Experience

Manager, Analytics, Customer Experience joins the Customer Experience team to lead a group of data scientists in optimizing the global support network. This role involves setting the analytical vision for measuring customer resolutions across teammate-assisted and AI-driven support channels. The manager will develop measurement frameworks, identify opportunities to improve interaction quality, and translate complex data into actionable roadmaps for product, engineering, and operations partners. Key responsibilities include managing team growth, designing experiment strategies, and quantifying the balance between service quality and operational costs. Ideal candidates possess a degree in a quantitative field like Math or Computer Science and have over six years of experience in data science or analytics. Core competencies include predictive modeling, metric design, and statistical analysis to solve problems within the customer support and service-delivery domain.

What you'll do

  • Lead, mentor, and develop a team of data scientists to ensure high quality and career growth.
  • Define the analytical vision for customer resolution metrics across global support networks.
  • Translate patterns in contact and resolution data into prioritized roadmaps for product and operations teams.
  • Quantify the trade-off between customer experience quality and operational costs for teammate tools.
  • Partner with AI/ML teams to design evaluation frameworks that improve automated support quality.
  • Establish measurement strategies including experiment design, statistical analysis, and success metrics.
  • Communicate data-driven insights to senior leadership across CX, Product, Engineering, and Operations departments.

What we're looking for

  • You must have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
  • You must have 6+ years of experience in analytics, data science, or a related quantitative field.
  • You must have experience managing and developing data scientists or analysts.
  • You must possess strong analytical fundamentals including experimentation, predictive modeling, and metric design.
  • You must be an effective cross-functional communicator capable of influencing stakeholders and senior leadership.
  • You must be able to prioritize high-impact work in a fast-moving environment.
  • Experience balancing quality and efficiency in customer support, operations, or marketplace contexts is required.
  • Experience measuring AI, LLM, or automation-driven products in a production setting (preferred).

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