AmazonSenior PMT-ES, AWS FinOps Agent, AWS Insights and Optimizations
Amazon is hiring a Senior PMT-ES, AWS FinOps Agent, AWS Insights and Optimizations in New York, United States. It pays $167k-$227k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AWS, Generative AI and Agent Frameworks.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Lead product strategy for AWS FinOps Agent, driving generative AI-powered cloud financial management and agentic workflows.
As Senior Product Manager - Technical, you'll own the product strategy and execution for AWS FinOps Agent, building agentic workflows and expanding its cloud financial management capabilities, with responsibility for defining and driving their evolution as the technology landscape advances. You'll determine how millions of customers and AI agents discover, analyze, and act on AWS cost and usage data through AWS FinOps Agent.
In this role, you'll drive the vision for making AWS the most agent-friendly cloud for financial management, define the product strategy that governs how generative AI transforms cost management workflows, and own the measurement and continuous improvement of the AI-powered FinOps experience across AWS. You'll evaluate emerging agent frameworks, reasoning models, and interface patterns, determining when to adopt, extend, or build new approaches to maintain AWS's leadership in autonomous cloud economics. You'll work at the intersection of generative AI, cloud infrastructure, and enterprise finance to pioneer the next generation of FinOps.
You'll collaborate with engineering teams, applied scientists, and product teams across AWS to ensure AWS FinOps Agent delivers measurable value to customers, from individual developers optimizing a single account to enterprise CFOs managing billions in cloud spend. This role requires deep technical understanding of generative AI, agent architectures, and AWS cloud financial management, combined with the ability to influence without authority across a large, distributed organization.
If you're passionate about making cloud financial management autonomous and excited about defining how generative AI transforms enterprise FinOps, this role offers the opportunity to shape AWS's agent-first cost intelligence strategy.
Key job responsibilities
* Create the product vision, and strategy for internal and external customers.
* 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.
* Define and maintain a product roadmap with inputs from all stakeholders.
* Provide effective written and verbal updates on the products and key projects to senior leadership and stakeholders.
Basic qualifications
- 5+ years of technical product management with internet business experience
- 5+ years of working as a Technical Product Manager experience
- 3+ years of technical (software development, network development, IT, other related) experience
- 7+ years of full product life cycle experience
- 5+ years of P&L management and pricing experience
- 5+ years of creating written docs for development of new products experience
- 5+ years of enterprise security product 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
- Experience working within teams delivering software products and features using agile methodologies
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, NY, New York - 167,400.00 - 226,500.00 USD annually
How we rate this
Senior PMT-ES, AWS FinOps Agent, AWS Insights and Optimizations at Amazon rates 70 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. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where cloud financial management was part of your work. What did you do?
- Tell me about a project where agent architectures was part of your work. What did you do?
- Tell me about a project where finops was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, Cloud Financial Management, Agent Architectures, and Finops. 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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