Back to search
As Senior Product Manager, you will execute AWS's strategy for AI cost governance. 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 own the product bets that define the category.
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. 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 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, and the influence to move organizations you do not control. 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
* Engage with customers through a variety of channels and serve as the voice of the customer internally.
* Gain feedback from customers to ensure right focus in building our products
* Manage the entire product life cycle from strategic planning to tactical execution.
* Partner with engineering teams to deliver on the product roadmap.
* Establish goals and review metrics to identify opportunities and measure the success of the product features.
* Provide effective written and verbal updates on the products and key projects to senior leadership and stakeholders.
Basic Qualifications: - 5+ years of working as a Technical Product Manager experience
- 3+ years of technical (software development, network development, IT, other related) experience
- 5+ years of creating written docs for development of new products experience
- 5+ years of product management in the cloud computing technology space experience
- Bachelor's degree in computer science, engineering, math, finance, or economics
- Experience in taking a product from conception & definition phase through engineering design and taking it to market
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
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 - 152,200.00 - 205,900.00 USD annually
Learn more about this Employer on their Career Site
