Level

AmazonPosted 1d ago

Sr Product Manager - Tech, AWS Analytics Engineering Deals Desk

Sr Product Manager - Tech, AWS Analytics Engineering Deals Desk at Amazon scores 10 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattleseniorfull-time$151k-$205k

AI in this role

Own private pricing strategies and product roadmaps for AWS storage and analytics services.

aws
ai-agentsai-automationproduct-managementpricing-strategypricing-modelscross-functional-leadership
-Amazon Web Services (AWS)'s Analytics Engineering organization is seeking a Senior Product Manager - Tech to define and execute the private pricing strategy for AWS's foundational Storage and Analytics services. These services—spanning object storage, block storage, file systems, data streaming, processing and analytics—form the critical data infrastructure layer that underpins virtually every enterprise cloud architecture, and increasingly, the AI and machine learning workloads reshaping them. As generative AI accelerates demand for large-scale data storage, high-throughput processing, and real-time streaming pipelines, these services represent some of AWS's largest and fastest-growing business lines. You will shape the pricing product roadmap and cross-functional execution required to drive service adoption and revenue growth at scale.

-You will operate at the intersection of product strategy, pricing economics, and customer engagement—translating deep technical understanding into pricing constructs that accelerate cloud adoption, simplify complex pricing constructs and cloud migrations.

Key job responsibilities
Pricing Strategy & Product Roadmap
-Own and evolve the end-to-end private pricing strategies for AWS Storage and Analytics services, including pricing model design, private deal structuring, and service-level approval frameworks for specialized and custom engagements.
-Define and prioritize the pricing product roadmap, partnering with Engineering teams to build new private pricing features, automation capabilities, and scalable pricing constructs.

Cross-Functional Collaboration
-Drive cross-functional alignment across Go-to-Market (GTM), Finance, Strategic Customer Engagement (SCE), -Legal, Service Teams, and Account Teams to evaluate pricing strategies, structure complex deals, and identify growth initiatives. Partner with Sales, Solution Architects, and Business Development to solve intricate pricing and product challenges for AWS's most strategic and large-scale customers.

Technical Depth & Product Expertise
-Develop deep technical fluency across your service portfolio—understanding service architectures, usage patterns, cost drivers, and workload characteristics—to connect product and technical strategies with pricing innovation
-Identify gaps in product capabilities through pricing engagement insights and advocate for product enhancements that unlock growth vectors

Operational Excellence & Intelligent Automation
-Design and build agentic workflows and AI-assisted tooling to continuously optimize, automate, and scale pricing operations, deal analysis, and approval processes
-Champion operational efficiency by identifying process bottlenecks and implementing scalable solutions that reduce cycle times and improve the customer experience

A day in the life
You will manage pricing strategy and influence decisions for all private and custom deals across AWS Storage and Analytics services. This includes owning service-level approvals for private pricing agreements, developing and iterating on pricing constructs and mental models that create mutual value with customers. You will regularly engage with AWS's largest and most strategic customers alongside account teams and SCE, translating complex technical requirements into pricing solutions that accelerate adoption and migration. You will build and leverage agentic AI workflows to scale your analytical capacity and drive faster, more informed pricing decisions across your portfolio.

Basic qualifications

- 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

- 5+ years of management consulting, strategy, technology, venture capital, or a related industry experience

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, WA, Seattle - 151,200.00 - 204,600.00 USD annually

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Skills and AI tools this role asks for

AI AgentsAI AutomationProduct ManagementPricing StrategyPricing ModelsCross Functional LeadershipAws

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a workflow you automated with AI tools, end to end.
  3. Tell me about a project where product management was part of your work. What did you do?
  4. Tell me about a project where pricing strategy was part of your work. What did you do?
  5. Tell me about a project where pricing models was part of your work. What did you do?

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