Amazon
Senior Manager, Customer Success Specialists, Amazon Quick , AWS Specialist and Partner Organization
$201K–$313K
Seattle, WA +3 · Manager · Full-time · Posted Sep 11, 2026
- Location
- Seattle, WA
New York, NY
Mountain View, CA
Dallas, TX - Experience
- 15+ years in senior customer-facing roles; 5+ years managing and developing customer-facing teams. Preferred: 5+ years in enterprise AI adoption, business operations transformation, or productivity initiatives at scale.
About the job
Leads and develops a customer-facing specialist team that drives enterprise adoption and measurable business outcomes for Amazon Quick and AWS generative AI services.
What you'll do
- Recruit, coach, and manage specialists; set performance expectations and operating cadences.
- Own portfolio activation, adoption, and value realization outcomes, intervening on strategic or at-risk accounts.
- Coordinate with customer success, engineering, partner, product, and field teams to support customer transformations and improve reusable adoption practices.
What they ask for
- Knowledge of enterprise cloud strategies and distributed applications.
- 15+ years in senior customer-facing roles, with direct accountability for enterprise customer outcomes.
- 5+ years managing and developing customer-facing teams.
- Proven leadership of teams driving enterprise-scale AI or technology adoption outcomes, with measurable results.
Nice to have
- Knowledge of Agile practices such as SCRUM, Kanban, or SAFe.
- 5+ years of direct experience in enterprise AI adoption, business operations transformation, or productivity initiatives at scale.
Pay
231,200.00 - 312,800.00 USD annually (base salary); 221,100.00 - 299,200.00 USD annually (base salary); 201,000.00 - 272,000.00 USD annually (base salary); 201,000.00 - 272,000.00 USD annually (base salary)
Tools
Amazon Quick, Amazon Bedrock, SageMaker, foundational models, RAG architectures, SCRUM, Kanban, SAFe
AI focus
Leads a specialist team driving enterprise adoption of Amazon Quick and AWS generative AI services, translating AI strategy into business-process transformation and measurable customer outcomes.
Model-written summary · the original posting is authoritative