Senior GTM Programs & Initiatives Lead, Applied AI Solutions

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon’s unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers’ businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges.

We are seeking a technical program manager with deep AI expertise to join the Applied AI Solutions GTM team. This role will drive organizational effectiveness through hands-on development of AI-powered tools, automation, and knowledge systems that transform how our GTM organization operates. You will be the technical force multiplier for our team, building innovative solutions using Amazon QuickSight, Kiro, and other AI technologies to streamline processes, enhance account planning, and accelerate business growth.

This role requires expertise in generative AI technologies, hands-on experience building with Amazon QuickSight (including knowledge spaces, flows, and Quick Pages), and the ability to translate business needs into technical solutions. You will own the technical roadmap for AI innovation within our GTM organization, compile monthly business reviews, and serve as technical program manager for cross-functional initiatives across GTM Acceleration and Applied AI Solutions.

You must be passionate about leveraging AI as a daily force multiplier-not just for writing and chatting, but for automating repeatable work, performing analysis, and accelerating action. You should be energized by prototyping new capabilities, turning one-off ideas into durable team assets, and continuously raising the bar for how AI can enhance GTM operations.

The ideal candidate is an exceptional writer with Amazonian document-writing skills, a natural organizer who thrives on bringing structure to ambiguity, and someone who sees AI as a daily force multiplier for operational excellence., * 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.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 5+ years of technical program management experience managing cross-functional programs and driving execution across multiple teams
• Hands-on experience building with generative AI technologies and tools
• Experience with Amazon QuickSight or similar BI/analytics platforms, including building dashboards, data models, and automated workflows
• Demonstrated ability to translate business requirements into technical solutions and drive implementation
• Experience managing rhythm of business processes, including monthly business reviews and cross-team coordination, * 3+ years of Go-To-Market, Business Development, Sales, or Consulting experience
• Master’s degree in a technical field, or Master of Business Administration
• Experience with AWS technologies
• Expert-level proficiency with QuickSight, including knowledge spaces, flows, Quick Pages, and advanced features
• Hands-on experience building solutions in Kiro or similar AI development environments
• Demonstrated ability to use generative AI tools as a daily force multiplier for automating repeatable work, performing analysis, and accelerating action
• Experience building and maintaining shared knowledge spaces so that playbooks, accounts, and customer context are discoverable and reusable across teams
• Demonstrated curiosity to prototype in AI tools and turn one-off ideas into durable team assets
• Experience with AI/ML technologies, including prompt engineering, model selection, and AI application development
• Background in Business Application Technologies, including End User Compute (EUC), Supply Chain, Contact Center as a Service, or related domains

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Irvine - 147,900.00 - 200,100.00 USD annually

USA, CA, Mountain View - 162,700.00 - 220,200.00 USD annually

USA, CA, San Diego - 147,900.00 - 200,100.00 USD annually

USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually

USA, IL, Chicago - 147,900.00 - 200,100.00 USD annually

USA, NY, New York - 162,700.00 - 220,200.00 USD annually

USA, TX, Austin - 147,900.00 - 200,100.00 USD annually

USA, TX, Dallas - 147,900.00 - 200,100.00 USD annually

USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.