Senior PMT, Deal Intelligence & Automation , AWS GDSP

Amazon is hiring a Senior PMT, Deal Intelligence & Automation , AWS GDSP in Seattle, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

AWS Global Deal Strategy and Programs (GDSP) is responsible for the strategy, structure, and execution of AWS's largest customer deals worldwide. The organization operates at the intersection of pricing economics, deal execution, and customer relationships across all AWS segments and geographies.

GDSP is seeking a Senior Product Manager - Technical to own the product vision and strategy for the analytical and automation products that operationalize deal workflows, automate reporting, and surface insights to deal teams globally. These products serve deal strategists, pricing leaders, and senior executives who depend on them daily to structure, evaluate, and negotiate transformative contracts with the most strategic AWS customers.

An ideal candidate pinpoints answers from broad data sets (deal telemetry, pricing models, customer usage, pipeline signals) at unprecedented scale, with speed and accuracy that does scales with volume growth. The role requires deep analytical acumen, the ability to define what questions matter most, and the product judgment to deliver answers in forms that drive action without sacrificing rigor.

This is a high-visibility role. Outputs are consumed directly by GDSP leadership and AWS executives. Product decisions in this space have immediate, measurable impact on deal velocity, pricing quality, and revenue outcomes.

Key job responsibilities
- Own the 3 to 5 year product vision and roadmap for deal intelligence and automation capabilities across GDSP
- Define products that leverage broad data sets (deal telemetry, pricing history, customer usage patterns, pipeline signals) to deliver precise, actionable insights at global scale
- Partner with engineering to evaluate architectural trade-offs, including where AI, automation, and agentic systems create the highest analytical and operational leverage
- Establish mechanisms (metrics frameworks, operational cadences, experimentation strategies) that make delivery repeatable and raise the quality bar across the organization
- Influence and align stakeholders across multiple organizations to remove obstacles and deliver outcomes
- Engage directly with customers (deal strategists, pricing leaders, GDSP executives) to validate direction and ensure the platform evolves ahead of demand
- Create product artifacts (PR/FAQs, strategy narratives, business cases) that build alignment with senior leadership

About the team
The team builds products that power how GDSP operates. Internal tools are held to the same standard as external ones: clear, reliable, and built to scale.

Basic qualifications

- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Preferred qualifications

- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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, San Diego - 151,200.00 - 204,600.00 USD annually
USA, CA, San Francisco - 173,900.00 - 235,200.00 USD annually
USA, CA, Santa Monica - 151,200.00 - 204,600.00 USD annually
USA, IL, Chicago - 151,200.00 - 204,600.00 USD annually
USA, MA, Boston - 151,200.00 - 204,600.00 USD annually
USA, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, TX, Austin - 151,200.00 - 204,600.00 USD annually
USA, TX, Dallas - 151,200.00 - 204,600.00 USD annually
USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

How we rate this

Senior PMT, Deal Intelligence & Automation , AWS GDSP at Amazon rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.