Senior AI Innovation & GTM Programs Lead, Applied AI Solutions, Applied AI Solutions

Seattle, WA (On-site)

$149K/yr – $231K/yrSenior Level5+ years expFull time

Posted 3 months ago

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Job Summary

Drive AI-powered GTM tooling and cross‑functional program delivery for AWS GTM Acceleration, focusing on scalable AI enablement and shared knowledge across field teams.

  • Own the organizational AI roadmap and field enablement programs across GTM Acceleration and Applied AI solutions.
  • Must-have: hands-on experience with generative AI and BI/analytics tools (e.g., QuickSight).
  • Standout: proven cross-functional program management translating business needs into scalable technical solutions.

Job Description

Responsibilities

  • Build and maintain AI-powered tools and automation using Amazon QuickSight, Kiro, and other generative AI technologies to streamline GTM processes, account planning, and organizational workflows.
  • Design and implement shared knowledge spaces in Amazon QuickSight, ensuring playbooks, account context, and customer insights are discoverable and reusable across field and partner teams.
  • Prototype innovative solutions using Quick Pages, Kiro, and emerging AI environments, transforming experimental ideas into production-ready team assets.
  • Own and maintain the organizational AI roadmap for Applied AI Solutions GTM, identifying opportunities to leverage AI technologies for operational excellence.
  • Compile and produce the monthly GTM Acceleration MBR, synthesizing data and insights across field activation, partner programs, and business interlocks.
  • Serve as technical program manager for cross-functional projects across GTM Acceleration and Applied AI Solutions, driving execution and stakeholder alignment.
  • Partner with GTM leadership to translate business requirements into technical solutions, architecting scalable mechanisms that enhance organizational effectiveness.
  • Design and implement field and partner enablement programs leveraging AI technologies, including automated training materials, intelligent workflows, and self-service tools.
  • Identify and automate repeatable work across the GTM organization, using generative AI to eliminate manual processes and accelerate team velocity.
  • Drive adoption of AI tools and best practices across the organization, serving as technical advisor and champion for AI-powered innovation.
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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