Full Job Description
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
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
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
