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. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. The Worldwide Sustainability (WWS) organization capitalizes on Amazon’s scale and speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally, and drive solutions that enable our customers, businesses, and the world to become more sustainable. Amazon's Worldwide Sustainability team is building the science and technology infrastructure that makes our sustainability commitments real — auditable, automated, and actionable at Amazon's scale. At the center of that infrastructure is the Carbon Intelligence Platform: the system that calculates emissions across Amazon's businesses, powers planning and abatement decision-making, and serves external sustainability products for partners and customers outside Amazon. We are looking for a Senior Manager, Software Development to lead the engineering team building and operating this platform. This is a player-coach role — you will set technical direction, manage and grow a team of engineers, and stay close enough to the code and architecture to make the hard technical calls yourself. You will own production systems that business unit leaders, finance teams, and external partners depend on for numbers they report publicly and use to make consequential decisions. This role sits at a distinctive intersection: technical depth and organizational scope at the same time. You will partner with research and sustainability scientists whose methodologies — increasingly AI and ML-enabled — your team implements in production. You will own an external-grade API surface that commercial sustainability products depend on to serve customers outside Amazon. And you will build an AI-native engineering team: one that builds AI/ML systems in production *and* uses AI-assisted development and testing as standard workflow, measuring success by the pace at which new capabilities reach customers reliably. Your ability to communicate and influence others will be a key to success. You are a results-oriented, customer-focused manager who gets excited about diving deep, running hard, and delivering a big impact. Key job responsibilities Carbon Intelligence Systems: - Every carbon calculation that any Amazon business unit or external partner relies on runs through systems you own and operate - External-grade API surface consumed by commercial sustainability products — versioned, rate-limited, documented, and reliable at external SLAs - Assurance & Decision-making: All data must be fully explainable to assurance providers, external stakeholders and enable rapid decision making - Carbon Facts and Assumptions Engineering & People Leadership: - Lead a team of software development engineers directly; this is an level 7 player-coach role with hands-on technical involvement - Set technical direction and architecture — API design, system reliability, AI/ML production infrastructure, and technical debt management - Own the engineering operating model: production reliability, incident response, deployment practices, and on-call - Own model serving infrastructure, inference pipelines, model observability, and automated retraining pipelines - Drive AI-native engineering practices: AI-assisted development and testing as standard workflow, measured by velocity and reliability of customer-facing delivery - Hire, develop, and retain strong engineering talent Science-to-Production Boundary: - Receive methodology and model specifications from the science team and build the production infrastructure that makes them reliable at scale - Triage production failures independently and surface systematic patterns back to the science team on a defined cadence