Senior Manager, Analytics, Customer Experience

DoorDash, Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CASunnyvale, CASeattle, WANew York, NYLos Angeles, CAChicago, IL
Salary
$219,700–$323,000 / yr
Posted
29 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $271k
$123k most similar roles pay here $344k

This role pays more than 92% of similar roles. Most pay $159,625–$223,812 — the shaded band above. At the midpoint, this role pays about $271k versus about $192k 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 187 open roles on FindRole.

Listed pay typically runs $144,800–$212,950 across 166 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Senior Manager, Analytics, Customer Experience

Senior Manager, Analytics, Customer Experience leads and grows a team of data scientists within the Customer Experience department to improve support interactions across teammate-assisted and AI-driven channels. This role involves setting the analytical vision for measuring resolution quality, identifying opportunities to optimize customer experience versus operational costs, and developing evaluation frameworks for automated support systems. The successful candidate will build measurement strategies, design experiments, perform statistical analysis, and manage data pipelines to inform product and engineering roadmaps. Required skills include deep expertise in SQL, A/B testing, regression modeling, and advanced statistical analysis. The role requires a professional with a quantitative degree who can translate complex findings into actionable insights for cross-functional partners. The work focuses on resolving friction within the last mile by improving support tools and quantifying the impact of AI-driven resolution quality.

What you'll do

  • Lead and develop a team of data scientists through mentorship and career development planning.
  • Define the analytical vision for measuring customer resolution quality across human and AI support channels.
  • Translate complex data patterns into prioritized roadmaps for product, operations, and engineering partners.
  • Quantify the trade-off between customer experience quality and operational costs to improve teammate tools.
  • Design evaluation frameworks to measure and improve automated support performance and AI resolution quality.
  • Establish measurement strategies including experiment design, statistical analysis, and success metrics.
  • Present data-driven insights to senior leadership to influence cross-functional strategy and decision-making.

What we're looking for

  • 8+ years of experience in data science, product analytics, consulting, or a related field.
  • 3+ years of experience as a people manager with a track record of developing data scientists.
  • A degree in Math, Statistics, Economics, Computer Science, or a similar quantitative domain.
  • Deep expertise in SQL, experimentation and A/B testing, and statistical analysis.
  • Experience with data pipelines and partnering with engineers to build robust data foundations.
  • Strong technical judgment and the ability to communicate complex findings to non-technical audiences.
  • Experience balancing quality and efficiency in a customer support, operations, marketplace, or service-delivery context.
  • Experience measuring AI, LLM, or automation-driven products in a production setting (preferred).

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