Drimva

Uber

Creative Technology Lead

$209K–$232K

New York City, New York +1 · Full-time · Posted Oct 12, 2026

Location
New York City, New York
San Francisco, California
Experience
10+ years overall, including 3+ years directly designing, deploying, and operationalizing modern AI architectures.

About the job

Leads the design and scaling of AI-powered marketing workflows, tools, and practices across Uber’s global marketing teams.

What you'll do

  • Build and operationalize AI agents, copilots, automations, and multi-agent workflows for marketing and creative work.
  • Develop prompt libraries, evaluation frameworks, governance, and responsible AI practices; measure initiative impact.
  • Partner with cross-functional teams to integrate AI into marketing platforms and train teams to adopt AI tools.

What they ask for

  • 10+ years working at the intersection of technology, product, and marketing/creative teams, including 3+ years designing, deploying, and operationalizing modern AI architectures.
  • Experience building applications, workflows, or automation using modern AI technologies and large language models.
  • Strong understanding of prompt engineering, AI evaluation, and generative AI workflows.
  • Experience with Python, JavaScript, SQL, APIs, or workflow automation platforms; cross-functional experience and strong communication skills.

Nice to have

  • Experience applying AI in creative, marketing, advertising, or content production environments.
  • Familiarity with multimodal models, agentic AI frameworks, retrieval-augmented generation (RAG), and orchestration platforms.

Pay

USD $209,000 per year - USD $232,000 per year (base salary); USD $209,000 per year - USD $232,000 per year (base salary)

Tools

Python, JavaScript, SQL, APIs, large language models, multimodal models, retrieval-augmented generation (RAG)

AI focus

Build AI-powered marketing workflows, agents, copilots, automations, and internal tools; apply generative AI to research, creative development, content production, localization, measurement, and campaign optimization.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)