Staff Product Designer - AI-Driven Support Experience

DoorDash USA

New York (NY)

Hybrid

USD 170,000 - 210,000

Full time

13 days ago
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Benefits offered by this job

401(k) with employer matching
Parental leave 16 weeks
Wellness benefits
Commuter benefits match
Medical, dental & vision insurance

Job summary

DoorDash is seeking a Staff Product Designer for the Support Design team. You will shape the end-to-end support journey—across customer, dasher, and merchant touchpoints—by delivering high-fidelity designs and production-ready prototypes, with a focus on multi-modal experiences and internal tooling.

You will mentor peers, promote responsible AI use, and collaborate with engineering and product management in a hybrid New York City setting, 1–2 days on-site weekly.

Qualifications

  • Portfolio showing craft excellence, systems thinking, and leadership through influence.
  • Experience with code editors and LLM-powered tools; prototyping in production.
  • Ability to influence, design, and build solutions across teams and workflows.
  • Background in high-growth consumer tech or complex marketplace products.

Responsibilities

  • Define projects with a clear point of view; synthesize inputs into roadmap milestones.
  • Turn ambiguous problems into actionable work; balance design quality, speed, impact.
  • Shape projects from concept through execution with high-fidelity designs.
  • Design multi-workflow solutions and contribute reusable tooling frameworks.
  • Build relationships across teams; mentor on responsible AI and live prototypes.
  • Grow team capacity through mentorship, recruiting, and inclusive practices.

Skills

Portfolio
LLM tooling
Prototyping in production
Systems thinking

Tools

Figma
Design tooling

Job description

DoorDash is seeking a Staff Product Designer for the Support Design team. You will shape the end-to-end support journey—across customer, dasher, and merchant touchpoints—by delivering high-fidelity designs and production-ready prototypes, with a focus on multi-modal experiences and internal tooling.

You will mentor peers, promote responsible AI use, and collaborate with engineering and product management in a hybrid New York City setting, 1–2 days on-site weekly.

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