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Sr. Program Manager, Data & AI GTM

Amazon

Sr. Program Manager, Data & AI GTM

full-timePosted: Aug 24, 2026Updated: Aug 27, 2026Austin, Texas, United States

Job Description

Want to build the systems that get AWS's largest customers from AI idea to production faster? We're looking for a Senior Program Manager to own the mechanisms that connect customers to expert AI builder teams and then turn what those teams deliver into reusable assets that help accelerate all AWS customers. You'll operate at the center of a flywheel: customers come in with complex AI challenges, you route them to the right expertise or solution, those engagements produce proven patterns and customer signals, and you package those learnings so the next customer doesn't need high-touch support at all. If you love designing systems that start hands-on and end self-service, this role is for you. Key job responsibilities - Own intake, triage, and routing of customer Data & AI engagement requests across multiple builder teams (specialists, professional services, prototyping labs, and partners) - Define and enforce SLAs for triage, assignment, and delivery across all participating builder teams; report on adherence and escalate blockers - Automate coordination workflows that today take days of back-and-forth, reducing cycle time and removing dependency on individual heroics - Work across geographies and organizations to keep the mechanism running smoothly and improving continuously - Partner with builder team leaders to maintain balanced workload distribution and clear escalation paths - Capture engagement deliverables and package them into reusable architectures, code, and playbooks that customers can grab off the shelf to get to production - Build the distribution mechanism that makes reusable assets discoverable and accessible to field sellers and customers at the right moment in their journey - Analyze engagement data to identify trends in customer needs, builder team capacity, and routing quality; use findings to inform GTM strategy and investment decisions About the team Our team drives the go-to-market strategy and execution for AWS's data and AI services, working directly with field sellers and partners worldwide to help customers adopt and succeed. You'll collaborate with Technical Business Developers and Program Managers who each own different programs and domains; together, you connect customers to the right expertise, build reusable assets from successful engagements, and design automation that makes the next customer's path to production faster. We're charting the future of fully agentic channels that deliver assistance to customers at scale, and our mission is to make it faster and easier for every customer to get from AI ambition to production workload.

Locations

  • Austin, Texas, United States
  • Seattle, Washington, United States
  • Bellevue, Washington, United States
  • New York, New York, United States
  • Irvine, California, United States
  • San Francisco, California, United States
  • San Diego, California, United States

Salary

115,600 - 160,000 USD / yearly

Skills Required

  • dataintermediate
  • general AI toolsintermediate

Required Qualifications

  • 5+ years of program or project management experience (experience, 5 years)
  • Experience using data and metrics to determine and drive improvements (experience)
  • Experience owning program strategy, end to end delivery, and communicating results to senior leadership (experience)

Preferred Qualifications

  • 5+ years of driving process improvements experience (experience, 5 years)
  • Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field (degree in mba in business)
  • Knowledge of general AI tools (experience)
  • Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions (experience)
  • Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
  • Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)

Responsibilities

  • Own intake, triage, and routing of customer Data & AI engagement requests across multiple builder teams (specialists, professional services, prototyping labs, and partners)
  • Define and enforce SLAs for triage, assignment, and delivery across all participating builder teams; report on adherence and escalate blockers
  • Automate coordination workflows that today take days of back-and-forth, reducing cycle time and removing dependency on individual heroics
  • Work across geographies and organizations to keep the mechanism running smoothly and improving continuously
  • Partner with builder team leaders to maintain balanced workload distribution and clear escalation paths
  • Capture engagement deliverables and package them into reusable architectures, code, and playbooks that customers can grab off the shelf to get to production
  • Build the distribution mechanism that makes reusable assets discoverable and accessible to field sellers and customers at the right moment in their journey
  • Analyze engagement data to identify trends in customer needs, builder team capacity, and routing quality; use findings to inform GTM strategy and investment decisions

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