About the job
We're looking for a Senior Associate, AI Solutions Architect to help build and scale AI-powered tools across DoorDash's Marketing teams. You'll work alongside our existing Marketing Technology AI Solutions Architects to identify opportunities where AI can solve real marketing problems, then build, test, and iterate on the solutions that make it happen. This role is grounded in hands-on building: you'll spend your time prototyping, coding, and shipping tools rather than pitching strategy from the sidelines.
This is a great opportunity to grow your technical and strategic skills at the intersection of marketing and AI. You'll get mentorship from a team of builders and exposure to the full lifecycle of AI development from prototype to deployment. This role will report to the Senior Manager, Marketing Technology within the Growth Marketing organization.
Responsibilities
Build and deploy AI-powered tools and automations, such as automated reporting, QA frameworks, and workflow optimizations..
Develop MVPs and proof-of-concepts, then iterate based on user feedback within a defined workstream.
Contribute to AI training materials, prompt and template libraries, and workshops that help drive AI adoption across marketing teams.
Partner with Data Engineering, Analytics, and Product teams to integrate AI solutions into our existing marketing technology stack.
Evaluate third-party AI platforms and APIs to identify options that fit our marketing technology stack.
Track and report on the impact of the AI solutions you build, including efficiency gains and quality improvements.
Help identify and automate time-consuming marketing processes, working across both the AdTech (Performance Media) and Marketing Platforms (Retention) pods.
Support the AI Center of Excellence by contributing to frameworks, governance, and best practices for AI adoption across Growth Marketing.
Qualifications
Minimum
2-4 years of experience at the intersection of marketing and technology, with hands-on experience building tools or automations.
Technical experience with JavaScript, TypeScript, or Python (can read, modify, and debug code), along with familiarity with APIs, Postgres, ETLs, SQL, and data structures.
Experience implementing AI solutions beyond basic chatbot usage: working with AI APIs, MCPs, prompt chains, and low-code/no-code platforms (Zapier, Make, Retool, etc.).
Comfort working directly with Product and/or Engineering teams to develop solutions and collaborate on roadmaps.
Strong communication skills, with the ability to explain technical concepts clearly to non-technical partners.
A builder / tinkerer mindset: resourceful and comfortable with ambiguity, able to prioritize your own workstream with input from your manager.
Preferred
experience with marketing technology platforms and tools, or a background in Marketing Ops, Marketing Analytics, or MarTech.