AI Operations Lead: Drive AI Adoption & Strategy

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 92,000 - 154,000

Full time

14 days+
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Job summary

Amazon Web Services, Inc. is seeking an AI Operations Lead for the Global Startups Operations team in Seattle. You will drive AI adoption, run internal rhythms, and support go-to-market initiatives with executive insights and strategic reporting.

This role requires curiosity about AI tools and proactive collaboration across the organization. Ideal candidates bring strong program management, ability to manage multiple workstreams, and comfort operating in ambiguous environments across time zones.

Qualifications

  • Bachelor’s degree or higher in a related field from an accredited institution.
  • Experience with data/analytics and using data to drive decisions.
  • Experience producing executive-level written materials and presenting to executives.
  • Hands-on experience with AI/GenAI tools and driving AI adoption across teams or organizations.

Responsibilities

  • Identify manual workflows ripe for automation and scope AI-powered solutions.
  • Coordinate AI workstreams and measure productivity impact of AI adoption.
  • Design and run team cadences, track deliverables, surface risks, and drive accountability.
  • Support executive insights through data analysis and narrative development and contribute to go-to-market initiatives.

Skills

Data analytics
Executive communication
AI/GenAI tools
AI adoption across teams

Education

Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field

Job description

Amazon Web Services, Inc. is seeking an AI Operations Lead for the Global Startups Operations team in Seattle. You will drive AI adoption, run internal rhythms, and support go-to-market initiatives with executive insights and strategic reporting.

This role requires curiosity about AI tools and proactive collaboration across the organization. Ideal candidates bring strong program management, ability to manage multiple workstreams, and comfort operating in ambiguous environments across time zones.

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