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

Mountain View, CA (On-site)

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

Posted 3 weeks ago

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Job Summary

Own the AI Inference GTM and global sales motions for SageMaker, partnering with field teams to build pipeline, accelerate deals, and demonstrate cost/performance advantages across diverse buyers.

  • Growth & GTM Ownership: Define segmentation, differentiators, and campaigns to move AI Inference from awareness to revenue.
  • Customer Engagement & Enablement: Lead consultative calls, live demos, PoCs, and workshops to win budgets and secure references.

Job Description

Responsibilities

  • You will bring to bear your unique blend of strong technical background in clustered computing frameworks/distributed systems and business acumen and experience to define and execute go-to-market initiatives for Amazon SageMaker AI.
  • You will be working hand-in-hand with AWS GenAI Solution Architects, Product Managers, Marketing Managers and Geo-aligned field teams to run world-wide 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.
  • You will define sales motions including customer segmentation and qualification, positioning of quantitative and qualitative differentiators, and mechanisms and campaigns to accelerate sales cycles.
  • You will execute on these sales motions using direct customer engagements and through Geo Data & AI specialists, to prospect and develop pipeline, launch new opportunities and drive usage and revenue of SageMaker AI for GenAI and ML worldwide.
  • As the SME on AI Inference, you will help customers understand different types of AI Inference workloads (mapped to AI agentic as well as machine learning use cases), emerging open source technologies as well as 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 SageMaker with help of product demos, discuss service roadmap, and handle objections from both internal AWS teams and external AWS customers.
  • You will help secure customer quotes, nurture public references and help Marketing team build them into case studies.
  • You will synthesize insights gained from these outbound engagements to help prioritize service roadmap and influence service evolution for AI Inference.
  • As the owner of key part of the SageMaker AI business worldwide, you will switch between multiple activities and drive multiple deliverables on any given day.
  • You will be leveraging propensity lists of prospect customers and working with field teams to help secure audience with customer stakeholders to drive sales motions related to AI Inference.
Amazon Web Services (AWS) logo

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)
65% recommend to a friend
63% CEO approval

Traffic Signals

Monthly Visitors
2.7B
Traffic Source Mix
Search
25.4%
Direct
66.7%
Referral
5.5%
Social
1.4%
Paid
0.6%

Headcount Trend

Current headcount: ~151.3K

Marketing Team

Marketing Team Size
3,671 (2% of company)
Median Career Experience
20.5 years
Median Tenure
5.2 years
Marketing Roles Posted (Last 30 Days)
9

Funding

Last Raise
Grant, 1 years ago

Funding History

  • Jan 2025
    Grant

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