Senior PMT-ES, FinOps for AI, AWS Insights and Optimizations

Requirements

• 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)
• 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, plea

Additional Information

AI is fundamentally reshaping cloud economics. At the center of this shift is token economics, the emerging discipline of understanding, measuring, and optimizing the cost of every token consumed across models, applications, and business functions. The AWS Billing organization is uniquely positioned to help customers navigate this transformation, providing the cost visibility, allocation models, and optimization tools that make AI spending as manageable as any other workload. We're building the financial intelligence layer that enables enterprises to scale AI investment with confidence. As Senior Product Manager - Technical, you'll own the product strategy and execution for FinOps for AI across AWS, defining how customers understand, allocate, monitor, control, and optimize their AI and ML spend. You'll be at the forefront of token economics, building the cost management primitives that give finance teams, ML platform engineers, and business leaders visibility into the true cost of their AI workloads. As AI workloads shift from experimentation to production, you'll define how organizations budget, forecast, and govern token consumption at enterprise scale. In this role, you'll drive the vision for making AWS the platform for AI cost intelligence, define the product strategy that governs how AI workload costs are measured, attributed, and optimized, and own the frameworks that connect token-level spending to business outcomes. You'll evaluate emerging patterns in AI infrastructure and determine how billing and cost management must evolve to serve them. You'll pioneer the tooling that transforms token economics into a manageable, optimizable discipline for every enterprise running AI on AWS. You'll collaborate with engineering teams, applied scientists, and product teams across AWS (including Bedrock, AgentCore, SageMaker, EC2, and Trainium/Inferentia) to ensure customers have end-to-end cost visibility and optimization for their AI workloads. This role requires deep technical understanding of AI/ML infrastructure economics, token pricing models, cloud billing systems, and enterprise financial planning, combined with the ability to influence across organizational boundaries to deliver a unified cost experience. If you're passionate about making AI economically sustainable at scale and excited about defining the discipline of token economics for the world's largest cloud, this role offers the opportunity to shape AWS's FinOps for AI strategy from the ground up. 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.

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