Senior AI Cost Governance Product Lead

Amazon; Seattle (WA); On-site; USD 152,000 - 206,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs included

Job summary

Amazon is seeking a Senior PMT-ES for AI Cost Governance within AWS Insights and Optimizations. This role focuses on defining cost attribution and control for generative AI workloads, partnering with Bedrock, AgentCore, and the broader AWS generative AI portfolio.

You will lead strategy, customer conversations, and cross‑functional alignment to drive adoption and governance impact. You will own the category, work directly with engineering, and shape the market's view on AI economics at AWS.

Qualifications

• 5+ years of technical product management experience in internet/cloud businesses.
• Experience delivering large-scale SaaS/PaaS/LaaS products from concept to GTM.
• Strong written communication and ability to influence senior leaders.

Responsibilities

• Engage with customers and serve as the voice of the customer internally.
• Define product strategy and lifecycle from planning to execution & roadmap.
• Partner with engineering to deliver on the product roadmap and metrics.
• Establish goals and review success metrics for features.
• Provide updates to senior leadership and stakeholders on product progress and results.
• Collaborate with cross-functional teams to align strategy with AWS goals.

Skills

Technical product management

Cloud computing familiarity

Strategic planning

Stakeholder communication

Education

Bachelor's degree in computer science, engineering, math, finance, or economics

Job description

Amazon is seeking a Senior PMT-ES for AI Cost Governance within AWS Insights and Optimizations. This role focuses on defining cost attribution and control for generative AI workloads, partnering with Bedrock, AgentCore, and the broader AWS generative AI portfolio.

You will lead strategy, customer conversations, and cross‑functional alignment to drive adoption and governance impact. You will own the category, work directly with engineering, and shape the market's view on AI economics at AWS.