AI infra GTM Specialist, Service Specialist Orgnization

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Would you like to be the person who ensures the AI infrastructure ambitions of CMHK customers translate into real workloads running on AWS? As a Go-to-Market Specialist (GTMS) for AI Infrastructure, you are the connective tissue between CMHK customers, field account teams, and global AWS service teams. You own the go-to-market motion for AWS's AI infrastructure portfolio — EC2 GPU instances, SageMaker AI, and Trainium — and your job is to make adoption happen: bring the voice of the customer to service teams, equip field teams to win, and keep everything oriented toward workloads actually landing and running. You operate at the intersection of customers and builders. Half your time is spent with customers and account teams — understanding their AI training and inference roadmaps, shaping commercial structures, and unblocking the path to deployment. The other half is spent working across global WWSO and service teams — carrying CMHK market requirements into product and capacity decisions, driving feature prioritization, and ensuring the global machine moves for your customers. You are neither pure field nor pure product; you are the person who holds the full picture and makes sure no part of the chain drops. You do not just sell a service — you see the entire value chain from capacity planning through commercial negotiation to workload go-live, and you orchestrate the right people at the right time to make each stage succeed. You combine market awareness of the GPU and accelerator ecosystem with the commercial instincts to structure deals and the operational rigor to drive them to closure. Success is measured in workloads landed, revenue closed, and customers scaled — not in meetings held or decks produced. The ideal candidate understands the AI infrastructure market at a structural level — supply dynamics, chip economics, competitive positioning — and can translate that understanding into actionable GTM plans. You should be comfortable discussing instance selection and capacity models with a customer's ML platform team, then turning around to build a business case that moves a service-team leader to prioritize a regional requirement. You are self-driven, commercially sharp, and relentless about outcomes. What Makes This Role Different Beyond the standard GTMS mandate, we are hiring against four differentiating capabilities. Candidates will be assessed explicitly against each. 1. Market and ecosystem fluency in AI infrastructure You understand the AI infrastructure landscape — not just AWS's portfolio, but the broader GPU and accelerator chip ecosystem, supply-demand dynamics, competitive alternatives, and how customers make build-vs-buy and chip-selection decisions. You track market shifts (new silicon generations, capacity constraints, pricing movements) and translate them into GTM implications. This is not about being a chip engineer; it is about having the commercial and strategic literacy to advise customers and position AWS credibly in a fast-moving market. 2. Full-stack GTM ownership with a workload-landing mindset You do not consider a deal closed when a contract is signed — you think in terms of workloads running in production. You hold the mental model of the entire customer journey: from initial engagement through commercial negotiation, capacity securing, onboarding, and production scale-up. While you do not personally execute every step, you ensure nothing falls between the cracks. You coordinate SA, CSM, and service-team