mid software engineering Technical Program Manager ic · Posted May 8, 2026
$171,000 – $231,400
USD per year

About this role

Amazon is hiring a mid-level Technical Program Manager in the software engineering function based in Arlington, VA. The posting calls out experience with LLMs, Machine Learning. Compensation is listed at $171,000–$231,400 per year.

Role
Technical Program Manager
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Arlington, VA
Department
Project/Program/Product Management--Technical
Posted
May 8, 2026

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Job description

from Amazon careers

The Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. PXTCS is seeking a Sr. Technical Program Manager (TPM) to own and drive large, critical programs that span multiple teams and organizations at Amazon. You will manage complex technical programs involving machine learning models, artificial intelligence systems, and causal econometric models that improve employee experience for over 1.5 million Amazonians worldwide. The scientific program areas our team leads apply technology and data-driven insights to enhance all aspects of work for employees and managers including benefits, compensation, recruiting, voice of employee, management practices, and organizational culture. You will coordinate cross-functional engineering, product, data science, and business teams to successfully deliver these programs. This involves developing detailed plans, schedules, milestones, and risk mitigation strategies. You will identify dependencies and enable seamless collaboration between technical teams building the AI/ML models, product managers defining requirements, data scientists providing insights,…

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