Senior Product Manager, Private Pricing Product Management
Amazon is hiring a Senior Product Manager, Private Pricing Product Management in Arlington, United States. It pays $136k-$184k a year and Level rates it ; you can apply on Level.
AI in this role
Senior product manager to lead the Private Pricing platform roadmap, leveraging generative AI and automation to transform deal workflows.
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.
Key job responsibilities
• Define and own product strategy for your domain within the Private Pricing platform, translating ambiguous business problems into clear product vision and prioritized roadmaps
• Drive 0-to-1 product development — identify gaps in the customer and seller experience, validate hypotheses through data, and ship solutions that measurably improve outcomes
• Influence without authority across GDSP and cross-organizational teams to secure resources, align priorities, and deliver at scale
• Leverage data and generative AI to reimagine workflows — identifying where automation, ML, and Gen AI can eliminate friction and unlock new capabilities
• Own the full product lifecycle from discovery and requirements through launch, adoption, and iteration
• Communicate strategy and results to executive leadership through written narratives, using data to drive decisions and secure investment
• Establish scalable frameworks for prioritization, requirements documentation, and stakeholder alignment that elevate the entire product management function
Basic qualifications
- 5+ years of technical product or program management experience
- Bachelor's degree or equivalent in a related field
- Experience managing analytics, data science or technology teams, with a product or insight focus
- Experience Experienced with end-to-end ownership of major project deliverables
- Experience working in a fast-paced and ambiguous environment, or experience communicating complex information and solutions to senior stakeholders and influencing decisions
- Experience in quantitative role (engineering, process re-engineering, quality assurance), or experience using financial models, KPIs, and data analysis to inform business decisions with proven business impact (e.g., financial savings, operational improvements, or customer benefits)
Preferred qualifications
- Experience in influencing senior leadership through data driven insights
- Experience working across functional teams and senior stakeholders
- 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
- Bachelor's degree, or MBA in management, business administration, economics, engineering, marketing
- Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions
- 7+ years of successful technology products work from ideation through launch experience
- 7+ years of workflow experience
- Knowledge of AWS or cloud technologies
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 - 136,000.00 - 184,100.00 USD annually
USA, NY, New York - 152,200.00 - 206,000.00 USD annually
USA, VA, Arlington - 136,000.00 - 184,100.00 USD annually
USA, VA, Herndon - 136,000.00 - 184,100.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,100.00 USD annually
How we rate this
Senior Product Manager, 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.
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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where product strategy was part of your work. What did you do?
- Tell me about a project where roadmapping was part of your work. What did you do?
- Tell me about a project where deal management was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: NLP, Product Strategy, Roadmapping, Deal Management, and Automation. 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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