Software Development Manager, WW Sustainability
Amazon is hiring a Software Development Manager, WW Sustainability in Seattle, United States. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include software development, team management and architecture.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
AI in this role
Lead an engineering team building Amazon's environmental intelligence platform and AI-native engineering workflows.
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. With in Sustainability team, the Environment intelligence platform team goal is to deliver environmental data and intelligence that enables Amazon to meet regulatory disclosure requirements, measure environmental footprint to inform reduction and mitigation investment decisions, and integrate sustainability metrics into WWS Program and Business Unit decision-making systems and processes.
We are looking for a Software Development Manager 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
Environment Intelligence Systems:
- Every footprint 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 6 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
About the team
Diverse Experiences:
World Wide Sustainability values diverse experiences. We encourage all candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Inclusive Team Culture:
It’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our
differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (inclusive diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic qualifications
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually
How we rate this
Software Development Manager, WW Sustainability at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where architecture was part of your work. What did you do?
- Tell me about a project where api was part of your work. What did you do?
- Tell me about a project where ai ml infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Development, Team Management, Architecture, API, and AI ML Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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