Principal Worldwide Specialist - AI Inference, Data & AI GTM
Amazon
- Location
- US, NJ, Jersey City
- Employment
- Full Time
- Work model
- On-Site
- Level
- Principal
- Posted
- Sep 1, 2026
Skills
About this role
Are you a strategic leader who thrives on ideating and building innovative, dollar-needle-moving campaigns from scratch that reshape how customers adopt GenAI? AWS is seeking a Principal Go-To-Market (GTM) Specialist to own and evolve the worldwide GTM strategy for AI Inference through Amazon SageMaker AI. In this role, you will operate at the intersection of deep technical expertise in distributed inference systems and sharp business judgment to set the strategic direction for SageMaker AI Inference adoption globally. You will identify whitespace opportunities, architect high-impact campaigns that move revenue at scale, and build repeatable mechanisms that the worldwide field organization can execute autonomously. You will operate with minimal context, rapidly synthesizing ambiguous signals from customers, product teams, and market dynamics into clear strategic recommendations absorbable by L10 leaders. You will challenge prevailing assumptions, pressure-test existing motions, and drive team-wide change that raises the bar on how AWS goes to market with AI Inference. You will take your insights from customer engagements and market intelligence to influence service evolution, roadmap prioritization, and long-term product strategy. Key job 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. You will define and own the end-to-end sales motion strategy including customer segmentation frameworks, qualification criteria with quantitative thresholds, positioning of differentiated value through ROI models and competitive battle cards, and scalable mechanisms and campaigns that compress sales cycles. You will challenge existing assumptions about what works—pressure-testing current motions with data, killing underperforming plays, and replacing them with higher-ROI alternatives. You will execute selectively through high-signal direct customer engagements while building the playbooks, tooling, and enablement that empower Geo Data & AI specialists to prospect, develop pipeline, and close business independently worldwide. As the principal authority on AI Inference GTM, you will synthesize complex technical and market dynamics into crisp, insight-driven narratives absorbable by L10 leaders and VP-level customer stakeholders alike. You will help customers reason through the landscape of AI Inference workloads (spanning agentic, real-time, batch, and traditional ML use cases), evaluate emerging open-source technologies versus native capabilities, and make sound cost/performance/quality trade-off decisions at scale. You will build and present compelling product demos, own the competitive positioning narrative, and handle objections with data-backed conviction from both internal AWS teams and external customers. You will architect the customer evidence flywheel—securing quotes, cultivating public references, and partnering with Marketing to build case studies that become self-sustaining demand generators. You will synthesize insights from outbound engagements, competitive intelligence, and market trends into written recommendations that directly influence service roadmap prioritization and long-term product strategy for AI Inference. A day in the life As the principal