Senior Technical Program Manager, RL Gyms, Frontier AI RL Gym Assets
Amazon.com Services LLC•3h ago
United StatesOnsiteFull-timeManager Level5+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Program ManagerTechnical Program Manager
- We are seeking an experienced Senior Technical Program Manager to design and manage the program that drives execution of our Reinforcement Learning (RL) Gym development initiative. RL Gyms are standardized evaluation environments that measure AI agent performance across enterprise domains. In this role, you will define program structure, build mechanisms
- drive accountability to deliver RL Gyms at scale — partnering with scientists, engineers
- domain experts across multiple organizations. This is a high-ownership role where you will shape how the program operates end-to-end — from partner engagement and requirements definition through certification and delivery — rather than building gyms yourself. Key job responsibilities Program Execution: Own end-to-end delivery of RL Gym development programs — from requirements gathering and design through implementation, certification
- launch readiness Cross-functional Coordination: Drive alignment across engineering, science
- domain teams to define gym specifications, collection standards
- certification criteria Technical Depth: Understand gym harness architecture, evaluation frameworks
- agent benchmarking methodologies (e.g., SWE-bench style evaluations) to make informed tradeoffs and unblock teams Stakeholder Management: Partner with domain stakeholders across the company to identify high-value workflows suitable for gym development Certification & Quality: Define and enforce certification standards for RL Gyms, ensuring they meet bar for agent evaluation fidelity and reproducibility Capacity Planning: Track gym development targets, manage pipeline throughput
- forecast delivery timelines across multiple concurrent gym workstreams Tooling & Process: Drive improvements to gym tracking tools, development workflows
- operational processes (e.g., DPM tracking, standup cadences) Risk Management: Identify blockers early, escalate appropriately
- develop mitigation plans to keep programs on track About the team The RL Gym Program develops standardized evaluation environments ("gyms") that test AI agents on realistic enterprise tasks. Our gyms span multiple business domains and are used to certify agent readiness for production deployment. We operate at the frontier of AI evaluation, working closely with model teams, infrastructure teams
- business stakeholders to define what "good" looks like for AI agents.
- 5+ years of technical product or program management experience - 7+ years of working directly with engineering teams experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Bachelor's degree in engineering, computer science or equivalent
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - Experience in creating fully automated solutions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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
- 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
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, BELLEVUE - 148,700.00 - 201,200.00 USD annually