Senior Enterprise Resolution Partner

DoorDash, Inc.; Phoenix (AZ); On-site; USD 78,000 - 115,000; Full time

Benefits offered by this job

401(k) with employer matching

Paid parental leave

Medical, dental, vision benefits

Paid time off

Job summary

DoorDash, Inc. is seeking a Premium Resolution Partner to own complex customer problems for DoorDash for Business and Catering—delivering end-to-end resolution with autonomy and cross-functional collaboration.

You will work with customers via phone, video, and email, and coordinate with Account Management, Product, and Operations to ensure effective problem solving. You will gain deep product fluency and be able to translate insights from cases into scalable improvements while maintaining a

Qualifications

• Bring 2+ years of experience in account management, customer support, retail, hospitality, or another customer-facing role.
• Are a fast learner who can quickly become proficient in new systems, tools, and processes.
• Exercise strong judgment — you know when to solve a problem independently, when to bring in the right partner, and how to keep things moving either way.

Responsibilities

• Own complex customer issues from start to finish, with autonomy to drive the right outcome.
• Coordinate cross-functional partners to resolve high-stakes issues and improve processes.
• Advocate for customers and translate learnings into insights to improve experiences at scale.

Skills

Account management

Customer support

Communication

Problem solving

Education

Bachelor's degree or equivalent

Tools

Salesforce

Microsoft 365

Google Workspace

Job description

DoorDash, Inc. is seeking a Premium Resolution Partner to own complex customer problems for DoorDash for Business and Catering—delivering end-to-end resolution with autonomy and cross-functional collaboration.

You will work with customers via phone, video, and email, and coordinate with Account Management, Product, and Operations to ensure effective problem solving. You will gain deep product fluency and be able to translate insights from cases into scalable improvements while maintaining a