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Sr. GenAI Strategist - Startups, Generative AI Innovation Center; AWS

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 153600 - 239000 USD Yearly USD 153600.00 239000.00 YEAR
Job Description & How to Apply Below
Position: Sr. GenAI Strategist - Startups, Generative AI Innovation Center (AWS)

Amazon Web Services (AWS) is looking for a senior business‑oriented technologist experienced in analytics, big data, machine learning, and generative artificial intelligence. The role supports startup customers to accelerate growth, achieve product‑market fit, and enhance business outcomes with advanced AI technologies.

Key Responsibilities
  • Bring alignment between startup founders, technical leaders, and business stakeholders, and help them explore generative AI possibilities, developing a roadmap that delivers business value with startup‑appropriate speed and capital efficiency.
  • Serve as a senior thought leader within the team, mentoring junior strategists and shaping the overall startup engagement methodology.
  • Discuss complex AI/ML business concepts with startup executives, VCs, and technical founders across stages from seed to growth.
  • Engage various AWS teams, including applied scientists, solutions architects, business development, marketing, startup specialists, partners, and regional organizations.
  • Drive strategic engagements with high‑potential startups from ideation through vision building, scoping, closure, and into delivery.
  • Identify repeatable generative AI patterns across the startup portfolio and codify them into scalable programs and frameworks.
  • Conduct workshop sessions to identify opportunities for business value with generative AI or machine learning, emphasizing rapid time‑to‑value.
  • Build relationships with the VC and accelerator ecosystem to source and support AI‑native startups on AWS.
Basic Qualifications
  • 7+ years of cloud architecture and solution implementation experience.
  • 6+ years of managing scientists or machine learning engineers.
  • Experience working in or supporting sales, with preference for startup or high‑growth company contexts.
  • Experience launching technical programs, projects, or related work that include big data, analytics, artificial intelligence, and machine learning.
Preferred Qualifications
  • Experience communicating technical concepts to diverse audiences in pre‑sales environments.
  • Experience presenting to both technical and non‑technical executive audiences.
  • Direct experience working at, advising, or investing in startups, especially AI‑native or ML‑first companies.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

USA, CA, San Francisco –  –  USD annually

USA, WA, Seattle –  –  USD annually

Benefits include health insurance (medical, dental, vision, prescription, Basic Life & AD&D), 401(k) matching, paid time off, and parental leave among others. See Amazon Benefits for details.

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