We are seeking multiple Principal Technical Program Managers (TPMs) 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 cutting-edge 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, and business stakeholders across Amazon's employee services. Continuously monitoring progress, highlighting roadblocks early, and developing contingency plans will be critical. You will lead communication across various levels, including providing executive visibility into these high-impact programs.

You will work closely with senior business partners and our interdisciplinary team of UX researchers, data scientists, economists, and engineers to create positive employee experiences through innovative technology at Amazon's scale. Mentoring and developing more junior TPMs is also expected.

This is a unique opportunity to shape the future of employee experience at Amazon through cutting-edge AI/ML technology and data-driven insights. If you are passionate about driving cross-functional, cross-team innovation with large-scale impact, we would love to hear from you.


About the team
The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon and the lives, wellbeing, and the value of work of Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models, AI/ML technologies and software solutions to accelerate informed, accurate, and reliable decision backed by science and data.