Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM

Seattle, WA (On-site)

$163K/yr – $242K/yrSenior Level5+ years expFull time

Posted 3 months ago

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Job Summary

Lead GenAI infra GTM for AWS, coordinating cross-functional adoption with frontier model builders and top customers.

  • Own GTM strategy and cross-functional programs to accelerate adoption of GenAI infrastructure.
  • Must-have: 5+ years in GTM/BD/Sales or consulting with Data & AI tech experience.
  • Shaping product vision with SageMaker/EC2 teams and engaging lighthouse customers.

Job Description

Responsibilities

  • You will be part of the core worldwide GenAI Foundation Models GTM team focused on GenAI infrastructure for model training. You will be responsible for defining, building, and deploying targeted strategies to accelerate adoption of our services and solutions with lighthouse Frontier AI model builders across segments and industry verticals.
  • You will be working directly with the most important customers in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts.
  • In this role, you will work closely with customers to understand the AI infrastructure requirements, complexities involved in scaling GenAI model training across modalities and use-cases that take advantage of the power of AWS’ storage, compute, networking, and GenAI technologies.
  • You will have the opportunity to define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities such as market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions.
  • You will be responsible for creating compelling content, and building scalable programs and mechanisms to increase awareness and adoption of ML Frameworks and AWS solutions.
  • Additionally, you will work with Amazon SageMaker and Amazon EC2 product teams to shape product vision and prioritize features for GenAI infra. A keen sense of ownership, drive, and being scrappy is a must.
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

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2.7B
Traffic Source Mix
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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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