Senior Product Manager – Technical (PMT), Devices & Services Sustainability
Posted Updated
Amazon Devices & Services has committed to an ambitious path toward net-zero carbon. Getting there means measuring, reducing, and eliminating the carbon footprint of our products at a scale and speed that manual processes simply can't match. Our team builds the software, platforms, and intelligent systems that make that possible — turning slow, manual sustainability analysis into fast, AI-assisted work, so our scientists and program managers can focus on the highest-impact carbon-reduction work.
We're looking for a Senior Product Manager – Technical to own a portfolio of the products and platforms at the center of this mission. You'll work hand-in-hand with a team of software engineers who specialize in AI development, and you'll own products end to end — from customer problem to shipped, adopted, and measurable capability. This is a builder's role for someone energized by ambiguity, comfortable going deep with engineers and scientists, and motivated by impact you can measure in both real-world carbon reduction and time given back to experts.
What makes this role exciting
A meaningful part of this portfolio is about defining and launching AI products. Partnering with engineers who specialize in AI software development, you'll shape and ship capabilities such as:
-Systems that automate slow, expert-intensive analysis using machine learning and AI-assisted estimation.
-Generative and agentic AI that helps teams make smarter, carbon-aware decisions earlier in the product design process — when those decisions matter most.
-AI-assisted decision-support tools that put complex environmental data and trade-off analysis directly into the hands of product and design teams.
If defining and launching AI products is what gets you out of bed, you'll have plenty of it. But this role is broader than any single product: you'll also own platform strategy, drive customer-facing automation, run the mechanisms that keep a fast-moving team aligned, and represent the voice of the customer across the organization. We're looking for a well-rounded product leader who can go deep on AI and carry the full breadth of technical product management.
Key job responsibilities
- Own products end to end— define the vision, strategy, and multi-quarter roadmap for a portfolio spanning core platforms, automation systems, and AI-driven decision tools; write the narratives that align leadership and partner teams.
- Define and launch AI-powered products, translating ambiguous problems into crisp requirements, validated prototypes, and shipped capabilities — partnering closely with software engineers who specialize in AI, and with applied scientists.
- Lead cross-functional programs across engineering, science, program management, design, and partner organizations; drive planning, launch readiness, and mechanisms that unblock the team.
- Ground decisions in the customer and the data— run customer discovery and voice-of-customer research, establish success metrics and baselines, and use adoption and impact data to decide what to build, scale, or stop.
- Own platform strategy for the systems of record that your products depend on — balancing reliability and trust with the flexibility new AI and analytical use cases demand.
- Communicate up and out— deliver business and program reviews, drive prioritization and operational planning, and influence stakeholders from individual engineers to senior leaders.
We're looking for a Senior Product Manager – Technical to own a portfolio of the products and platforms at the center of this mission. You'll work hand-in-hand with a team of software engineers who specialize in AI development, and you'll own products end to end — from customer problem to shipped, adopted, and measurable capability. This is a builder's role for someone energized by ambiguity, comfortable going deep with engineers and scientists, and motivated by impact you can measure in both real-world carbon reduction and time given back to experts.
What makes this role exciting
A meaningful part of this portfolio is about defining and launching AI products. Partnering with engineers who specialize in AI software development, you'll shape and ship capabilities such as:
-Systems that automate slow, expert-intensive analysis using machine learning and AI-assisted estimation.
-Generative and agentic AI that helps teams make smarter, carbon-aware decisions earlier in the product design process — when those decisions matter most.
-AI-assisted decision-support tools that put complex environmental data and trade-off analysis directly into the hands of product and design teams.
If defining and launching AI products is what gets you out of bed, you'll have plenty of it. But this role is broader than any single product: you'll also own platform strategy, drive customer-facing automation, run the mechanisms that keep a fast-moving team aligned, and represent the voice of the customer across the organization. We're looking for a well-rounded product leader who can go deep on AI and carry the full breadth of technical product management.
Key job responsibilities
- Own products end to end— define the vision, strategy, and multi-quarter roadmap for a portfolio spanning core platforms, automation systems, and AI-driven decision tools; write the narratives that align leadership and partner teams.
- Define and launch AI-powered products, translating ambiguous problems into crisp requirements, validated prototypes, and shipped capabilities — partnering closely with software engineers who specialize in AI, and with applied scientists.
- Lead cross-functional programs across engineering, science, program management, design, and partner organizations; drive planning, launch readiness, and mechanisms that unblock the team.
- Ground decisions in the customer and the data— run customer discovery and voice-of-customer research, establish success metrics and baselines, and use adoption and impact data to decide what to build, scale, or stop.
- Own platform strategy for the systems of record that your products depend on — balancing reliability and trust with the flexibility new AI and analytical use cases demand.
- Communicate up and out— deliver business and program reviews, drive prioritization and operational planning, and influence stakeholders from individual engineers to senior leaders.
