Sr. Specialist - AI Inference, Data & AI GTM, Data & AI GTM

Description

Are you energized to drive adoption of GenAI capabilities that underpin agentic workflows with AWS customers and evolve these technologies with AWS Product leadership? Are you passionate about helping customers optimize price/performance for AI Inference at scale? AWS is seeking a Go‑To‑Market (GTM) Specialist to define, build and lead the GTM efforts to scale worldwide adoption of AI Inference through Amazon Sage Maker AI.

In this role, you will be responsible for defining, building and executing GTM initiatives to accelerate worldwide adoption of Amazon Sage Maker AI at customers looking to build, customize, deploy and operationalize GenAI and ML workloads with a specific focus on GenAI Inference. You will take your learnings from customer engagements to influence and drive Service evolution and roadmap.

You will bring a unique blend of strong technical background in clustered computing frameworks/distributed systems and business acumen to define and execute go‑to‑market initiatives for Amazon Sage Maker AI. Working hand‑in‑hand with AWS GenAI Solution Architects, Product Managers, Marketing Managers and Geo‑aligned field teams, you will run worldwide sales motions to drive adoption and growth of GenAI Inference that underpins agentic workflows with AWS customers across multiple industry segments worldwide, including large enterprises, ISVs, Digital natives and Startups with optimal price performance.

Your responsibilities include defining sales motions such as customer segmentation and qualification, positioning of differentiators, and mechanisms and campaigns to accelerate sales cycles. You will execute these motions through direct customer engagements and through Geo Data & AI specialists to prospect, develop pipeline, launch new opportunities and drive usage and revenue of Sage Maker AI for GenAI and ML worldwide.

As the SME on AI Inference, you will help customers understand different types of AI Inference workloads, emerging open‑source technologies, native product capabilities for optimizing cost/performance at scale, model cost/TCO and savings from various Inference optimization techniques. You will articulate ease of use of AI Inference in Sage Maker with product demos, discuss service roadmap, handle objections from internal AWS teams and external customers, secure customer quotes, nurture public references, and help build case studies.

You will synthesize insights from outbound engagements to prioritize service roadmap and influence service evolution for AI Inference.

As the owner of a key part of the Sage Maker AI business worldwide, you will switch between multiple activities and drive multiple deliverables on any given day. You will leverage propensity lists of prospect customers, work with field teams to secure audiences with customer stakeholders, drive sales motions related to AI Inference, conduct initial calls with customers (typically VP/Director of ML/AI Platforms) in a consultative way, walk them through differentiators through live demos and case studies, help customers understand pricing and savings packages, get feedback on current use of Sage Maker AI, secure workshops/PoVs/PoCs for evaluation, solicit and help current customers commit to a public quote or reference, co‑present in webinars or events, develop and update sales motion assets, conduct enablement sessions with field teams, host customer‑facing webinars to drive awareness of Sage Maker Inference, collect and pass on product feedback to the service team, participate in roadmap prioritization sessions, and document customer and market insights to share with the team and leadership.

We are a team of Generative AI Go‑to‑Market specialists with a unique blend of technical/specialist sales, product management, and technical business development backgrounds, driving global adoption and expansion of Amazon Sage Maker AI as a flagship AWS managed GenAI Service.

• 5+ years of Go‑To‑Market, Business Development, Sales, or Consulting experience
• 5+ years of working with Data & AI related technologies, including AI/ML, GenAI, Analytics,…