Responsibilities

• You will bring your combined deep technical acumen in clustered computing frameworks/distributed systems and seasoned business judgment to architect the worldwide GTM strategy for Amazon SageMaker AI Inference. You will ideate and build innovative campaigns from scratch—identifying net-new market segments, designing quantified value propositions, and constructing self-service mechanisms that move the revenue needle at scale without requiring your direct involvement in every deal. You will operate as a force multiplier, elevating the productivity and value of Geo-aligned field teams, GenAI Solution Architects, Product Managers, and Marketing Managers by codifying best practices, creating high-leverage enablement frameworks, and mentoring specialists across geos to independently execute complex sales motions.

Requirements

• 7+ years of developing, negotiating and executing business agreements experience
• 7+ years of professional or military experience
• 7+ years of working with Core Cloud Technology Services, including, but not limited to Compute, Edge, Hybrid, Security, and/or Networking experience
• 7+ years of Go-To-Market, Business Development, Sales, or Consulting experience
• 7+ years of working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT. experience
• 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• Bachelor's degree
• Experience developing strategies that influence leadership decisions at the organizational level

Preferred

• Experience selling to Fortune 1000 or Global 2000 organizations
• 7+ years in highly technical GTM, pre-sales, or technical business development roles at B2B companies (Enterprises, Startups, System Integrators) in ML/AI. Deep expertise in cluster-based computing frameworks such as Kubernetes and Ray, with the business judgment to translate technical capabilities into customer value propositions and revenue strategies.
• Proven track record of building GTM strategies, sales plays, and playbooks from scratch that moved the revenue needle—including designing customer segmentation, competitive positioning, and scalable mechanisms that field teams execute independently. Experience teaching and enabling account teams to sell complex technical products with minimal ongoing support.
• Experience structuring and leading benchmark initiatives, authoring optimization strategy white papers, building TCO/pricing models, and presenting cost/performance differentiation to VP/C-level customer stakeholders with sound technical and business judgment.
• Experience operating as a customer advocate at scale—synthesizing voice-of-customer signals across dozens of engagements into written insights and strategic recommendations that directly influence product roadmap and organizational priorities. Ability to challenge assumptions and drive change when existing approaches are underperforming.
• Experience owning and orchestrating multiple concurrent strategic initiatives (customer campaigns, field enablement programs, executive webinars, competitive response plays) across Product, Marketing, SA, and Account teams—with a track record of building mechanisms that run without direct oversight.
• Experience producing high-quality written analysis—market insights, competitive intelligence, strategic recommendations, and business metrics narratives—that are absorbable by L10 leaders and drive informed decision-making at the organizational level.

Benefits

• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.