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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, PXT Central Science - **Company:** Amazon.com, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $148,700.0 - $201,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Machine Learning, Software Engineering, Unstructured Data, Generative AI, Machine Learning Operations - **Published:** May 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bc37cd361576581d ## About the Role Do you have experience in Schedule management?, * 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, * 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 ## Description 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, 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 AI/ML technology and data-driven insights. Ideal candidates will have experience with research data/research models, building ML tools, and working with large/unstructured data sets. If you are passionate about driving cross-functional, cross-team innovation with large-scale impact, we would love to hear from you. Key job responsibilities * Managing the lifecycle of complex cross-functional programs. * Focus on managing a single product in a critical technology area and/or managing larger initiatives that span organizations or geographies in support of broader customer service business objectives. * Responsible for the delivery of large and complex projects, ensuring successful execution and completion. * Contribute to and develop OP1/OP2 narratives and take ownership of organizational goals. * Accountable for developing and implementing overall strategy and driving teams inside and outside of the organization to deliver results. * Define programs (including mission, vision, and tenets), set objectives, analyze data, drive improvements that are quantified with metrics, and influence resource allocation. About the team Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, applied science, and Generative AI 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, engineering, and UX to develop and deliver solutions that measurably achieve this goal. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Should Tech Managers Be Developers First? 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