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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Technical Program Manager, WW Sustainability - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $148,700.0 - $201,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Security, Identity and Access Management, Machine Learning, Data Analytics - **Published:** September 23, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28044411/Sr-Technical-Program-Manager-Ww-Sustainability-Washington-Seattle-7375 ## About the Role 5+ years of technical product or program management experience - Experience owning/driving roadmap strategy and definition - Experience managing programs across cross functional teams, building processes and coordinating release schedules Preferred Qualifications - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - Experience developing and executing/delivering product and technical roadmaps ## Description Join us at the forefront of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy. Amazon's Worldwide Sustainability (WWS) team works to build a sustainable business for our customers and the planet. Within WWS, the Sustainability Science & Innovation (SSI) team advances Amazon's sustainability commitments through applied science, data analytics, and strategic research programs - translating complex environmental and supply chain challenges into actionable intelligence for Amazon's business units. You'll lead lead cross-organizational coordination and external collaboration for a high-priority sustainability science programs within SSI. You will be the operational anchor for a multi-stakeholder program - managing internal alignment across business units, driving external partnership execution with research institutions and industry bodies, and owning the program's delivery rhythm from roadmap to executive reporting. This role requires someone who can operate comfortably at the boundary between technical and business domains, build trust with senior stakeholders across organizational lines, and keep complex, multi-workstream programs on track without close supervision. You'll lead mechanisms that translate breakthrough science into scalable pilots and Amazon workflows, establishing best practices that compound impact across the organization. This is a high-visibility role requiring the ability to influence technical direction across Amazon, drive alignment with senior leadership on multi-year investments, and serve as a thought leader bridging science, product, and business strategy., Own stakeholder engagement across teams within WWS and SSI - securing data and resource commitments, aligning on shared deliverables, and maintaining consistent messaging across all stakeholder touchpoints - Drive data and information-sharing agreements across teams, including access governance; facilitate joint planning sessions and translate program outputs into team-level action plans - Manage the operational cadence of Amazon's external research partnerships - including academic institutions, national laboratories, and government-funded research programs - tracking deliverables and milestones - Own the program roadmap - translating science and engineering priorities into a sequenced set of data products and decision-support tools; drive the program's weekly and quarterly update cadence to Director-level stakeholders; negotiate resources and priorities across contributing teams and unblock work before it stalls - Build and maintain governance structures for program operations, including data access policies, budget tracking, and decision logs; identify and proactively resolve operational bottlenecks before they impact program timelines A day in the life You'll own a portfolio of solutions with company-wide impact, working with scientists and engineers across diverse domains, AI/ML teams, TPMs, and business unit stakeholders to orchestrate pilots and drive adoption at scale. About the team Sustainability Science and Innovation (SSI) is a multi-disciplinary team within WW Sustainability science, analytics, economics, statistics, machine learning, and engineering expertise. We use data across the sustainability imperatives (carbon, water, waste, biodiversity, environmental risk and more) and these skills and capabilities to identify, develop, experiment, and scale the scientific solutions and innovations necessary for Amazon, customers and partners to help them solve their hardest unmet and evolving sustainability needs and goals. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fireside Chat with Werner Vogels, VP & CTO, Amazon.com & Daniel Gebler, CTO at Picnic](https://www.wearedevelopers.com/videos/1405-fireside-chat-with-werner-vogels-vp-cto-amazon-com-daniel-gebler-cto-at-picnic) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)