Senior Product Manager - Tech, Private Pricing Product Management

Amazon is hiring a Senior Product Manager - Tech, Private Pricing Product Management for a remote role open to applicants in 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 AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
This is listed as a remote role.
The posting mentions AI automation, NLP and product management among its tools and skills.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.

AI in this role

Lead product strategy and generative AI initiatives for enterprise pricing platforms and automated deal-making.

ai-automationnlpproduct-managementgenerative-aipricing-strategyenterprise-software

AWS Private Pricing is one of the most strategically important commercial programs at Amazon Web Services — enabling enterprise customers to accelerate their cloud transformation through multi-year commitments in exchange for pricing value, expanded service access, and innovation opportunities. The program drives billions in committed revenue and shapes AWS's deepest, longest-lasting customer relationships. Private Pricing is now at an inflection point: we are expanding access beyond traditional enterprise segments, evolving the value proposition, and fundamentally reimagining the deal experience through automation and generative AI.
The Global Deal Strategy and Programs (GDSP) organization owns this program end-to-end. Within GDSP, the Private Pricing Product Management (3PM) team is responsible for the tools, platforms, and technology that power the Private Pricing experience for thousands of internal sellers and external customers globally.
We are looking for a Senior Product Manager to own and drive the product strategy for a critical domain within the Private Pricing platform. You will define the vision, build the roadmap, and deliver products that transform how AWS's largest deals are created, structured, and executed. This is a high-ambiguity, high-autonomy role where you will identify unsolved problems, make bets on where to invest, and influence engineering teams and VP-level leadership to bring your vision to life.

Why This Role
■ Scale: Your products will be used by thousands of AWS sellers managing the company's most significant customer relationships
■ AI-native opportunity: You'll define how generative AI reshapes enterprise deal-making — from intelligent automation to predictive analytics
■ Executive visibility: You'll regularly present strategy and results to AWS VP leadership
■ Career trajectory: This role sits at the intersection of data, AI, and enterprise commercial strategy

Key job responsibilities
• Proven experience with implementing direct-to-customer technologies (i.e., websites, mobile apps)
• Experience converting customer needs into solutions using proven methods such as design thinking and agile product leadership
• Manage complex technology implementations, coordinating internal and external cross-functional stakeholders across geographies
• Prioritize features, experience enhancements, bug fixes, and simplify tech landscape based on predefined criteria in a fast-paced, complex environment
• Manage blockers, drive escalations, anticipate and make trade-off decisions, balance business needs and technical constraints, and maximize business benefit while delivering excellent customer experiences
• Design and implement new processes through tools and technology to scale the Private Pricing Experience
• Analyze data and customer needs to provide tooling recommendations and enhancement ideas
• Evolve norms and processes for 3PM such as product management templates, backlog management, prioritization criteria, requirements writing, communications and stakeholder management

About the team
Why AWS?: 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.

Diverse Experiences: Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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 in the cloud.

Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and 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.

Basic qualifications

- Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- 5+ years of technical product management experience building and shipping software products
- Experience defining product strategy and roadmap for platforms, internal tools, or data/analytics products in partnership with engineering teams
- Demonstrated ability to engage in technical discussions with software engineers, evaluate architectural trade-offs, and make build-vs-buy recommendations

Preferred qualifications

- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
- Experience in technical product management, program management or engineering
- Experience building complex software systems that have been successfully delivered to customers, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience in deal management and pricing strategy, or financial consulting
- Experience with AWS services or other cloud offerings
- Experience in successful technology product work from ideation through launch

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

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, IL, Chicago - 151,200.00 - 204,600.00 USD annually
USA, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually
USA, VA, Herndon - 151,200.00 - 204,600.00 USD annually
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

How we rate this

Senior Product Manager - Tech, Private Pricing Product Management at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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.

Key facts

Senior Product Manager - Tech, Private Pricing Product Management is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $151k-$205k a year.
The role is based in US, VA, Arlington and is marked remote.
The job was posted on August 24, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI AutomationNLPProduct ManagementGenerative AIPricing StrategyEnterprise Software

Also common in AI product manager jobs at this level

AI agents LLM SQL Azure RAG Python

Pay

This job starts at: $151k
Typical AI product manager job: $180k

This posting starts 16% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

Tell me about a workflow you automated with AI tools, end to end.
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where pricing strategy was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Automation, NLP, Product Management, Generative AI, and Pricing Strategy. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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