Sr. Manager, Software Development, WW Sustainability

Amazon is hiring a Sr. Manager, Software Development, WW Sustainability in Seattle, United States. It pays $220k-$298k 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.
The posting mentions Python, AWS and API among its tools and skills.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.

AI in this role

Lead an engineering team building the Carbon Intelligence Platform, integrating AI/ML methodologies and AI-assisted development workflows.

pythonawsapi

software-developmentmachine-learningteam-managementarchitecture

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

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

- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Experience building and operating production API platforms at scale — versioning, SLA management, external-grade documentation, and reliability engineering
- Experience building and operating AI/ML production systems — model serving, inference pipelines, drift detection, and retraining automation
- Experience working at the boundary between scientific or analytical systems and production engineering — translating methodology or model specifications into reliable, auditable production systems
- Experience managing external-grade API surfaces consumed by customers or partners outside your organization
- Track record of hiring and developing strong engineers

Preferred qualifications

- Experience in sustainability, climate, or environmental domains — familiarity with carbon accounting, emissions calculation, or regulatory reporting
- Experience in environments where calculation lineage, reproducibility, and audit readiness are first-class engineering requirements
- Experience with semantic data validation — systems where data carries domain-specific meaning that determines scientific validity, not just structural conformance
- Experience driving AI-assisted development workflows that improve delivery pace without compromising engineering quality
- Experience building on AWS

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 - 220,100.00 - 297,700.00 USD annually

How we rate this

Sr. Manager, Software Development, 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.

Classification

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.

Key facts

Sr. Manager, Software Development, WW Sustainability is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $220k-$298k a year.
The role is based in US, WA, Seattle.
The job was posted on August 17, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software DevelopmentMachine learningTeam ManagementArchitecturePythonAWSAPI

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 machine learning 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?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Development, Machine learning, Team Management, Architecture, and Python. 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.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Get an express CV review Check your resume with the ATS resume checker

Get new AI jobs (Works on AI ●●●○ or higher) by email

One email a week with the new AI jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.