Senior PMT ES - Reinforcement Learning, SageMaker AI

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$152K-$206K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

74% above the BLS role benchmark for product management aggregate.

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Product From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior PMT ES - Reinforcement Learning, SageMaker AI Bellevue, Washington, USA We're seeking a Senior Product Manager, Technical to define and own the product strategy for reinforcement learning (RL) on Amazon SageMaker AI. You'll shape how customers leverage reinforcement learning to align, customize, and improve foundation models and AI systems. Reinforcement learning is at the heart of how the most capable AI systems are built today. From aligning foundation models to optimizing complex multi-step reasoning and decision-making systems, RL has moved from a research curiosity to a production-critical capability. Yet for most customers, RL remains difficult to adopt-requiring deep expertise, complex infrastructure, and significant experimentation. We need a product leader who can make reinforcement learning dramatically more accessible, helping a broad range of customers use RL to build better models and get to production faster. Amazon SageMaker AI is the industry-leading service for machine learning, used by tens of thousands of customers-from startups to the world's largest enterprises-to build and deploy ML and GenAI applications at scale. If you want to build the products that define how the world develops and aligns AI, this is the role for you. 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

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