Manager, S&o Customer Experience

DoorDash DoorDash · Consumer · New York, NY · 621 Support Management

This role focuses on partnering with Product and Engineering to build new, AI-led products that improve how DoorDash support agents handle cases at scale. The goal is to shape and launch tools that assist agents in real time, improve decision-making, and drive faster, fairer resolutions for consumers. The role involves translating agent pain points into product requirements, designing and testing new agent-facing experiences, and analyzing performance data. It requires strategic judgment, analytical rigor, and comfort in a 0->1 environment.

What you'd actually do

  1. Help define the strategy for agent-facing tooling within Consumer Experience, with a focus on AI-led products that improve agent productivity, decision-making, and case resolution quality.
  2. Dive deep into case-level data, workflows, and agent behavior to identify root causes, uncover failure modes, and measure the impact of new tools on productivity, quality, and customer satisfaction.
  3. Use data-driven decision-making to design, test, and iterate on new agent workflows and AI-powered features in partnership with Product and Engineering.
  4. Work cross-functionally with Product, Engineering, Analytics, and Operations to ensure CX needs are represented in product development and that solutions are grounded in operational reality.
  5. Support the launch and scaling of new agent-facing products by helping translate product designs into operationally viable solutions adopted across a global support organization.

Skills

Required

  • 6+ years of experience in strategy and operations, business operations, product operations, or consulting
  • Experience working closely with Product and Engineering teams
  • Experience in high-growth or 0->1 environments
  • Comfort navigating ambiguity and driving complex initiatives
  • Strong analytical thinker
  • Proven track record of leading cross-functional initiatives
  • Deeply customer-centric

Nice to have

  • Experience using SQL or similar tools to analyze operational or product data

What the JD emphasized

  • AI-led products
  • agent-facing experiences
  • 0->1 environment
  • thrive in ambiguity
  • getting into the details
  • strong analytical thinker
  • leading cross-functional initiatives

Other signals

  • AI-led products
  • agent-facing experiences
  • real-time assistance
  • decision-making tools
  • faster resolutions