Amazon
Sr. Worldwide Specialist - AI Inference, Data & AI GTM, Data & AI GTM
$148K–$220K
Austin, TX +3 · Senior · Full-time · Posted Sep 1, 2026
- Location
- Austin, TX
Bellevue, WA
Santa Clara, CA
New York, NY - Experience
- 5+ years in Go-To-Market, Business Development, Sales, or Consulting; 5+ years working with Data & AI technologies. Preferred: 5+ years in highly technical B2B pre-sales roles.
About the job
Leads worldwide go-to-market initiatives to grow adoption of Amazon SageMaker AI for GenAI and ML inference, advising customers on optimization and feeding customer insights into product evolution.
What you'll do
- Define and execute sales motions, campaigns, and enablement to drive SageMaker AI inference adoption and revenue.
- Advise customers on inference workloads, cost/performance trade-offs, optimization, pricing, and product capabilities through engagements and demos.
- Collect customer feedback and market insights, advocate for roadmap priorities, and support customer references and case studies.
What they ask for
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience.
- 5+ years working with Data & AI technologies, including AI/ML, GenAI, Analytics, Database, and/or Storage.
- Experience selling enterprise software or cloud-based applications.
- Experience explaining complex technical concepts and presenting to technical and non-technical executive audiences.
Nice to have
- 5+ years in highly technical B2B pre-sales; expertise in cluster-based frameworks such as Kubernetes and Ray is preferred.
- Experience building sales plays and playbooks, advancing technical sales pipelines, and teaching account teams to sell ML or AI products focused on model Inference.
Pay
162,700.00 - 220,200.00 USD annually (base salary); 162,700.00 - 220,200.00 USD annually (base salary); 147,900.00 - 200,100.00 USD annually (base salary); 147,900.00 - 200,100.00 USD annually (base salary)
Tools
Amazon SageMaker AI, Kubernetes, Ray, AI/ML, GenAI
AI focus
Drives adoption of GenAI and ML inference, especially inference optimization for agentic workflows, and influences the AI Inference service roadmap.
Model-written summary · the original posting is authoritative