Manager, Client Success & Technical Solutions

DoorDash DoorDash · Consumer · San Francisco, CA · 635 DDfB

Manager for DoorDash for Business Customer Success Team, focusing on strategy, scaling solutions, onboarding, activation, and retention. The role involves leading CSMs, managing KPIs, partnering with Sales, implementing tracking systems, and leveraging AI tools for efficiency. Key responsibilities include architecting the Customer Success function, building CS data infrastructure, implementing CS platforms, diagnosing performance issues, and driving cross-functional alignment.

What you'd actually do

  1. Own and architect the Customer Success function — defining KPIs, operating model, and systems across a multi-product portfolio
  2. Redesign activation and customer health frameworks to reflect distinct product behaviors and drive accurate performance measurement
  3. Build and scale the CS data infrastructure (dashboards, data models, automated reporting) to enable team and executive visibility
  4. Implement and integrate CS tools (e.g., Gainsight, Totango, ChurnZero) with Snowflake to power health scoring, adoption tracking, and lifecycle management
  5. Diagnose systemic performance issues and independently drive high-impact, org-wide solutions tied to OKRs (activation, retention, expansion)

Skills

Required

  • 6+ years of experience in Customer Success, Technical Solutions, or similar roles in a high-growth SaaS or marketplace environment
  • Owned or significantly influenced KPIs, systems, or operating models
  • Strong technical and analytical skills, including SQL proficiency
  • Experience working with data warehouses (e.g., Snowflake)
  • Experience building dashboards and data models (Sigma, Looker, or similar)
  • Evaluated and implemented CS platforms and understand how to integrate them into a broader data ecosystem
  • 3+ years of people management experience leading high-performing teams with clear accountability
  • Highly data-driven, using metrics to diagnose issues, inform strategy, and influence stakeholders
  • Thrive in fast-paced, ambiguous environments and are resourceful, scrappy, and comfortable building from zero

What the JD emphasized

  • scaling solutions
  • customer health
  • product roadmap
  • AI tools
  • data infrastructure
  • performance issues
  • AI-driven workflows