Sr Mgr, Amazon Science Engineering, Academic Research Initiatives & Science Community
About the role
The ARI-SciCom Engineering team builds and operates the software platform that powers scientific publishing and research collaboration across Amazon. Our tools support the full lifecycle of scientific communication — from paper authoring and approval through conference management and research impact assessment and an innovator database containing hundreds of thousands of researchers, their institutions, and their projects. Our tools accelerate innovation for a community of 10K+ Amazon scientists and 20K+ research collaborators.
Responsibilities
We are seeking an experienced Software Development Manager or previous Principal Engineer to lead the ARI-SciCom Engineering team. You will own the technical vision and execution for a portfolio of tools that directly enable scientific discovery and collaboration at Amazon scale.
- Own the technical vision and execution for a portfolio of tools that directly enable scientific discovery and collaboration at Amazon scale.
- Manage a team of software development engineers, set technical direction, drive roadmap prioritization, and partner closely with science leadership, and internal conference organizers.
- Think big about how AI and automation can accelerate scientific productivity while delivering incremental value through disciplined execution and bar-raising engineering standards.
Requirements
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
- Proficiency with AI development methodologies, modern CI/CD practices, and engineering operational excellence.
Qualifications
- Master's degree or above in computer science, machine learning, engineering, or related fields, or PhD
- Hands-on experience building AI/ML-powered products or integrating large language models into production workflows.
- Familiarity with scientific publishing workflows, academic conference management, or research administration systems.
- Demonstrated ability to work effectively with non-engineering stakeholders — scientists, researchers, and program managers — translating ambiguous domain needs into clear engineering requirements.
Benefits
Amazon 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.
Pay
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.
- USA, CA, San Francisco - 253,100.00 - 342,300.00 USD annually
- USA, MA, Boston - 220,100.00 - 297,700.00 USD annually
- USA, NY, New York - 242,100.00 - 327,500.00 USD annually
- USA, VA, Arlington - 220,100.00 - 297,700.00 USD annually
- USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually
Schedule
Not specified