--- title: "Senior Product Manager – Technical, Devices & Services Sustainability" canonical: https://csrjobs.club/jobs/amazon-senior-product-manager-technical-devices-services-sustainability-tmwp locale: en description: "Amazon is hiring a Senior Product Manager – Technical, Devices & Services Sustainability on CSR Jobs. Discover this in-house sustainability role and apply today." updated: 2026-10-03 company: Amazon country: United States contract: Full time seniority: Senior missions: ESG reporting, Employee engagement, Product Environmental Footprint job_type: Sustainability Manager, ESG/Sustainability Reporting Manager posted: 2026-10-03 valid_through: 2026-12-03 apply: https://www.linkedin.com/jobs/view/4466423268 source: CSR Jobs --- # Senior Product Manager – Technical, Devices & Services Sustainability This role hands you end-to-end ownership of a product portfolio that turns slow, manual carbon accounting into fast, AI-assisted work. Day to day you write the strategy and multi-quarter roadmaps, translate fuzzy problems into crisp requirements, and partner with AI-focused engineers and applied scientists to ship decision tools that help design teams cut carbon earlier.\n\nThe sustainability angle is unusually direct: your products decide how quickly Amazon Devices & Services can measure, reduce and eliminate the carbon footprint of the physical products it ships at massive scale. Better tooling here means measurable carbon reduction and hours given back to the scientists and program managers doing the highest-impact work. **These are the systems that make net-zero operational rather than aspirational.**\n\nThis suits someone who has launched AI or ML products, thrives in ambiguity, enjoys going deep with engineers, and treats sustainability curiosity as a starting point rather than a prerequisite. ## Job FAQs ### What are the main missions and responsibilities of this role? The core mission is to own a portfolio of platforms, automation systems and AI-driven tools that let Amazon Devices & Services measure and reduce product carbon at scale. That means setting vision and multi-quarter roadmaps, writing the narratives that align engineering, science and business partners, and deciding what to build, scale or stop based on adoption and impact data.\n\nDay to day, you translate ambiguous sustainability and product problems into crisp requirements, validate prototypes with AI-specialist engineers and applied scientists, and run the planning and launch-readiness mechanisms that keep the team moving. You also carry the voice of the customer, running discovery and voice-of-customer research that grounds decisions in real user needs.\n\nA less visible but important responsibility is owning platform strategy for the systems of record your products depend on, striking a balance between reliability and the flexibility that emerging AI and analytical use cases demand. Expect to communicate up and out often, from business reviews with senior leaders to working sessions with individual engineers. ### Key learning opportunities for this job The most obvious learning curve is at the intersection of technical product management and applied AI. You would get hands-on exposure to generative and agentic AI, LLM-based systems and machine-learning estimation workflows, and you would learn to translate those capabilities into products that non-technical sustainability experts can actually adopt.\n\nThere is also a strong sustainability curriculum to absorb: life-cycle assessment, carbon-footprinting methods and the science behind product-level emissions, all taught informally through partnership with the company's scientists and program managers. Amazon's scale means you would see how carbon data flows through a global manufacturing and retail supply chain, a rare vantage point.\n\nBecause the role spans platform strategy, customer automation and cross-functional program leadership, you would also sharpen skills in influence without authority, operational planning and executive communication. The posting treats sustainability familiarity as a plus rather than a requirement, which suggests the environment is designed to let strong product managers learn the domain on the job. ### How does the ideal candidate look like (experience, skills)? The baseline is five or more years in product or program management, product marketing or technology, with a bachelor's degree and a track record of owning roadmaps, feature trade-offs and end-to-end delivery. You need enough technical fluency to contribute credibly to engineering discussions about architecture and strategy, and ideally prior experience defining and launching AI or machine-learning products.\n\nPreferred experience includes owning a technical platform and balancing reliability against evolving use cases, leading cross-functional programs across engineering, science and business, and operating independently in ambiguous, fast-moving settings. A master's degree is nice to have but clearly not a gate.\n\nOn the softer side, the role rewards curiosity about sustainability, comfort going deep with scientists, and the ability to turn vague, expert-heavy problems into structured product requirements. Familiarity with life-cycle assessment or carbon footprinting is a plus, but the posting emphasises curiosity more than credentials, which suggests the winning candidate pairs product rigour with genuine interest in the domain rather than a sustainability title. ### Advice to stand out and make a successful application Because this is a technical product management role at enormous scale, your resume should lead with outcomes: shipped products, adoption metrics, and specific examples of roadmaps you owned end to end. Quantify wherever possible, and make at least one project show how you worked with engineers on AI or ML capabilities, since that is a stated preference.\n\nUse the cover letter to bridge the two halves of the role. Explain what draws you to decarbonising physical devices, and be honest if your sustainability knowledge is developing; the posting explicitly values curiosity over prior domain experience. Referencing life-cycle assessment or carbon footprinting even at a conceptual level signals you have done your homework without overstating expertise.\n\nFor interviews, prepare to discuss ambiguous problems you structured from scratch and trade-offs you made between reliability and flexibility on a platform. Expect behavioural questions on influencing senior stakeholders and on measuring impact. Aligning your examples with Amazon's bias for customer-obsessed, data-grounded decision-making and its public net-zero commitments is likely to land well. ### What aspects of the company's sustainability is this role likely to focus on? This position sits squarely on the measurement and reduction side of Amazon's net-zero carbon commitment for Devices & Services. The products you would own exist to quantify product-level carbon footprints faster, and to push carbon-aware decisions earlier into the design process, where they have the greatest leverage. The emphasis on automating expert-intensive analysis suggests a focus on scaling life-cycle assessment and emissions estimation across a very large product catalogue.\n\nThere is also a governance and data-quality dimension. Systems of record for environmental data need reliability and trust, since the numbers behind public sustainability reporting must withstand scrutiny. Your platform strategy work would likely touch how that data is captured, governed and reused.\n\nOn the social and strategic side, the role amplifies impact by giving time back to scientists and program managers, letting them concentrate on the hardest carbon-reduction problems rather than manual analysis. It is a support function for the company's broader environmental goals rather than a customer-facing green marketing role, and that internal-enablement angle is probably the heart of the position. ### What are the main challenges someone in this role might face? The hardest part is likely the ambiguity. The posting repeatedly mentions turning vague, expert-heavy problems into shipped capabilities, which implies stakeholders will arrive with fuzzy needs and high expectations. Balancing science rigour against product velocity in an AI-heavy environment will require constant judgement.\n\nOrganisational complexity is another hurdle. Amazon is vast, and coordinating across engineering, applied science, program management, design and partner teams means a great deal of influence without direct authority, plus the classic trade-off between platform reliability and the flexibility that emerging AI use cases demand.\n\nDomain learning is a real but manageable challenge. You may be the least knowledgeable person on the science in the room early on, while still expected to set direction. The posting frames sustainability fluency as optional, so the real test is how quickly you absorb enough carbon and life-cycle assessment context to earn credibility with scientists and program managers. ### How could a typical day look like for someone in this position? A typical day would mix deep technical sessions with coordination and communication. You might spend the morning in a working session with AI-focused engineers and applied scientists, refining requirements or reviewing prototype results, then move into a cross-functional stand-up to unblock planning or launch-readiness issues.\n\nMeetings with program managers, design and partner organisations are constant, since the role spans multiple teams and products. You would also carve out time for customer discovery and voice-of-customer interviews, and for reviewing adoption and impact metrics that inform what to build, scale or stop next.\n\nWriting is a visible part of the job: narratives for leadership, roadmap documents, business review decks. Days will vary with launch cycles and planning rhythms, with some periods dominated by operational planning and others by early-stage product definition and stakeholder alignment. ### What are the opportunities for professional growth and development in this role? Within Amazon, a senior technical product manager owning a portfolio at the centre of Devices & Services sustainability has natural paths into broader product leadership, platform ownership or director-level roles across the devices organisation. The AI exposure is especially portable, since generative and agentic products are being built across the company.\n\nThe high visibility of the work helps. Net-zero carbon is a public commitment, so successful products here are likely to attract executive attention and open doors to cross-organisational projects, including roles closer to corporate sustainability strategy.\n\nSkill development compounds in two directions: deeper technical product craft around AI and platforms, and genuine domain expertise in carbon accounting and life-cycle assessment. That combination, technical product leadership plus applied sustainability, is relatively rare in the market and tends to be rewarded both inside and outside the company. ### The main stakeholders you might be interacting with The closest partners are AI-specialist software engineers and applied scientists, with whom you would shape, prototype and ship capabilities. Program managers are also central, both as partners on delivery mechanisms and, in a sense, as customers whose manual analysis you are trying to automate away.\n\nBeyond the immediate team, you would interact with design, product and partner organisations across Devices & Services, and with the sustainability experts who depend on your platforms for carbon data. Customer-facing automation means your users are internal teams making product design and sourcing decisions.\n\nSenior leaders appear regularly, because the role involves business and program reviews, prioritisation and operational planning. Much of the job is therefore translating between engineers, scientists and executives, keeping a fast-moving team aligned while representing the voice of the customer up and out. --- Source: https://csrjobs.club/jobs/amazon-senior-product-manager-technical-devices-services-sustainability-tmwp