Senior PMT ES - Reinforcement Learning, SageMaker AI

Key job responsibilities

• Define and execute product strategy and roadmap for reinforcement learning on SageMaker AI, working backwards from customer needs in model alignment, optimization, and decision-making
• Partner with applied science and engineering teams to define technical requirements for training infrastructure, algorithms, and tooling
• Own business metrics including adoption, usage, and revenue growth
• Engage directly with customers—from ML researchers at startups to enterprise AI teams—to understand their workflows and pain points
• Create product narratives, product specifications, and business cases for new initiatives
• Analyze the competitive landscape and stay current on research to anticipate where the field is heading
• Represent SageMaker capabilities in customer briefings, conferences, and industry events

Basic Qualifications

• Bachelor's degree in computer science, engineering, math, finance, or economics
• 5+ years of technical product management with internet business experience
• Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs
• Experience in taking a product from conception & definition phase through engineering design and taking it to market

Preferred Qualifications

• 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)