Senior Manager, Enterprise AI Success & Adoption

Amazon Web Services (AWS)

Mountain View (CA)

On-site

USD 231,000 - 313,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Senior Manager for Customer Success Specialists (CSS) focused on Amazon Quick.

You’ll lead a team driving enterprise adoption of Quick and AWS generative AI services, shaping outcomes from AI experimentation to business process reinvention at scale. In this leadership role, you will set the team cadence, coaches CSS for executive engagement, and partner with CS COE and other field teams to ensure scalable, measurable value delivery across a portfolio of

Qualifications

  • 15+ years in senior customer-facing roles with enterprise outcomes.
  • 5+ years leading and developing customer-facing teams.
  • Proven track record of AI or technology adoption at enterprise scale.
  • Deep experience with business transformation and process reinvention.

Responsibilities

  • Lead a team of Amazon Quick Service CSS driving enterprise adoption.
  • Set operating cadence, skills, and assets for customer outcomes.
  • Own activation, value realization, and portfolio health metrics.
  • Collaborate with CS COE, GTM, and field roles for seamless handoffs.
  • Translate AI strategy into account-specific execution and KPIs.

Skills

Enterprise cloud strategy
Executive presence
AI adoption leadership
Customer success leadership
Team coaching
Cross-functional collaboration

Education

Bachelor’s degree or higher

Tools

AWS AI/ML services
Amazon Quick knowledge

Job description

Amazon Web Services, Inc. is seeking a Senior Manager for Customer Success Specialists (CSS) focused on Amazon Quick.

You’ll lead a team driving enterprise adoption of Quick and AWS generative AI services, shaping outcomes from AI experimentation to business process reinvention at scale. In this leadership role, you will set the team cadence, coaches CSS for executive engagement, and partner with CS COE and other field teams to ensure scalable, measurable value delivery across a portfolio of

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