We're building the future of cloud financial management, and the hardest unsolved problem in it is AI cost. Customers are moving from experimenting with generative AI to running it in production at scale. Spend is driven by tokens, model choice, inference patterns, and increasingly by agents that make their own consumption decisions. The AWS Billing organization processes millions of events per second to deliver the cost, usage, and optimization insights that power financial decisions at the world's largest enterprises. We are now extending that foundation to give customers the ability to understand, allocate, control, and optimize AI spend with the same rigor they apply to compute and storage today.
As Senior Manager, Product Management, you will own AWS's strategy for AI cost governance as a player-coach, personally driving the category-defining work while building the team that scales it. This is the highest-ambiguity, highest-leverage product space in the organization: the mechanics of tokenomics, attribution, and control for generative AI workloads are still being defined across the industry, and the decisions made here set the direction that partner service teams, enterprise customers, and eventually all industry players respond to. You will personally own the product bets that define the category, hire and develop the product managers who help you carry that ownership as it grows, and set the technical direction that other product managers across Billing and partner teams build against.
In this role, you will define what it means to govern AI spend on AWS: how cost is attributed at the token, model, and agent level; how customers allocate that cost to teams, applications, and business units; and how they set and enforce controls before spend, rather than explaining it afterward. You will write the strategy documents and PR/FAQs for the most consequential launches, run the customer conversations, and make the hard trade-off calls on scope, sequencing, and where AWS should lead versus follow - doing this work yourself on the bets that matter most, and coaching your team to take on more of it as they grow into it. You will pressure-test metering, API, and interface designs directly with engineering, and dig into consumption data and customer telemetry to understand where the real cost drivers and governance gaps are. You will own the measurement of whether these capabilities actually change customer behavior, including adoption, spend under active governance, and the degree to which cost visibility unblocks AI expansion, and build the review mechanisms - run by you and the product managers you develop - that hold the organization accountable to it.
You will make the calls on how AI cost governance extends to emerging surfaces, including foundation model inference, agentic workloads, and third-party and marketplace model consumption, and on when AWS should build new primitives versus extend existing cost management constructs. You will partner with engineering leaders, applied science leaders, and product leaders across Bedrock, AgentCore, and the broader AWS generative AI portfolio to ensure cost governance is designed in rather than retrofitted, and you will drive alignment on strategy and investment across multiple organizations without owning the teams that execute it. You will represent this product area to senior AWS leadership, enterprise CFOs and FinOps practitioners, and industry analysts, and you will shape how the market thinks about the economics of running AI in production.
This role requires deep technical judgment, comfort operating with incomplete information on problems that have no precedent, the influence to move organizations you do not control, and the discipline to both do the work yourself and develop the people who will eventually own it without you. If you are excited about defining a product category that does not yet exist - and about the fact that every enterprise scaling generative AI will eventually need what you build - this role offers the opportunity to set AWS's position on the economics of AI.
Key job responsibilities
Set the product vision and strategy for AI cost governance across internal and external customers. Own the strategy for the highest-ambiguity bets; coach your PMs to own the strategy within their scope.
Build the mechanisms your team uses to engage customers across channels and serve as the voice of the customer inside AWS.
Establish how customer feedback flows into product decisions, and use it to make the calls on where the team invests.
Own the full product lifecycle across your team's surface area, from strategic planning through tactical execution.
Partner with engineering and applied science leaders to deliver against the roadmap. Get into the technical details on the hardest architectural and agent-design trade-offs, and grow your PMs to do the same within their areas.
Define the goals, input metrics, and output metrics that measure success for the product experience.
Own the product roadmap for your area, integrating inputs from customers, engineering, science, and peer product teams. Make the prioritization calls and defend them to senior leadership.
Write and deliver the updates that go to VP and SVP audiences on the products, key launches, and strategic bets. Coach your PMs on the writing and communication skills that get their work to the same bar.
Hire, develop, and retain a high-performing PM team. Set the bar for product excellence, give direct feedback, and grow PMs into the next level.
BASIC QUALIFICATIONS
- 5+ years of people management experience
- Bachelor's degree in Computer Science or a related field
- Experience in people management
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience overseeing roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
PREFERRED QUALIFICATIONS
- 8+ years of successful technology products work from ideation through launch experience
- Experience delivering technology products or services in a high growth environment
- Experience shaping business strategy for technical products or services for large enterprises or partners
- Experience with cloud native technologies
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 - 199,200.00 - 269,500.00 USD annually
