Sr. Worldwide Specialist - AI Inference, Data & AI GTM, Data & AI GTM at Amazon Web Services (AWS) | Bellevue, WA | $148K/yr – $220K/yr

Amazon Web Services (AWS)

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

Bellevue, WA (On-site)

$148K/yr – $220K/yrSenior Level5+ years expFull time

Posted 3 weeks ago

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Job Summary

Own AI Inference GTM with SageMaker by building and running sales motions, pipeline, and cross-team collaboration to drive GenAI adoption across industries.

Define and execute go-to-market initiatives for AI Inference and GenAI within SageMaker.
Coordinate with Solution Architects, PMs, Marketing, and global field teams to drive worldwide adoption and revenue.
Translate customer segments and differentiators into campaigns that shorten sales cycles.

Job Description

Own AI Inference GTM for SageMaker with a focus on building sales motions, pipeline, and cross-team collaboration to drive GenAI adoption across industries.

Define and execute go-to-market initiatives for SageMaker AI and GenAI Inference.
Collaborate with Solution Architects, PMs, Marketing, and field teams to drive worldwide adoption and revenue.
Map customer segmentation, differentiators, and campaigns to accelerate sales cycles.

Execute sales motions via direct engagements and Geo Data & AI specialists to prospect and develop pipeline.
Own SME guidance on AI Inference workloads, open source options, and cost/performance optimization at scale.
Demonstrate ease of use with demos, discuss roadmap, and handle objections.
Help secure quotes and nurture references for case studies and social proof.
Synthesize outbound insights to influence service roadmap and AI Inference evolution.

Drive initial consultative calls with VP/Dir level buyers, present differentiators through live demos and PoCs.
Solicit commitments to quotes or references and co-present at webinars or events.
Develop and update sales motion assets and run enablement sessions for field teams.
Collect product feedback and participate in roadmap prioritization for AI Inference.

Document customer and market insights for leadership sharing.

Amazon Web Services (AWS)

3.6 Glassdoor

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Founded in 2006

Duvall, Washington, USA

151K employees (5,507 in marketing)

aws.amazon.com

65% recommend to a friend

63% CEO approval