UX Design Engineer, Content Tooling

DoorDash
San Francisco, CA / Sunnyvale, CA / Seattle, WA2026-03-30

About the job

We’re looking for a full stack UX Design Engineer to be the technical backbone of our global Content Design org and leader who builds the platforms, tooling, and ML systems that make world-class, localized product content effortless across DoorDash, Wolt, and Deliveroo. You’ll work at the intersection of design and engineering to build content tooling and embed LLM-driven workflows into product experiences. You’ll accelerate content design AI tooling so that CD’s can focus on the highest leverage strategic work, while your tools enable product designers and cross functional partners to ship high-quality content faster across DoorDash, Wolt, and Deliveroo.

Responsibilities

Design and build internal content tools that help PMs and designers generate, manage, localize, and deploy product content at scale; Plug custom GPTs and other LLMs into everyday product workflows for content iteration and improvements; Own full-stack development of these tools; Integrate tooling with experimentation and infra; Operationalize systems and performance; Collaborate across brands and teams; Measure impact and drive adoption

Qualifications

Minimum

5-8 years of experience as a Design Engineer, UX Engineer, or Senior Software Engineer building complex internal tools or platforms; Strong frontend engineering skills with modern frameworks (React, TypeScript/JavaScript, component libraries); Solid backend engineering experience; Experience integrating with internal services, experimentation platforms (A/B testing, feature flags), and infrastructure systems; Proven ability to partner with designers and/or content strategists to translate workflows into scalable products; Systems thinking and comfort designing for multi-product, multi-brand environments; Strong problem-solving skills and ability to debug issues across the stack; Comfort working in ambiguous, cross-functional spaces with multiple dependencies

Preferred

Experience building internal platforms for non-engineering audiences; Familiarity with AI-driven systems, LLM integrations, or evaluation pipelines; Experience working in Agile environments and collaborating across distributed teams