Sr Manager, Applied Science, AWS Science of Security

Application deadline: Aug 18, 2026 Description We are looking for an experienced Sr. Manager, Applied Science to own technical vision and roadmaps, drive innovation at AWS scale, and lead a team of applied scientists working at the frontier of automated reasoning and neurosymbolic AI. You will partner closely with security, privacy, and compliance stakeholders across AWS to expand the reach and impact of provably correct products. Key job responsibilities Hire, develop, and retain a world-class team of applied scientists. Foster a culture of scientific rigor, innovation, and operational excellence. Own strategic design, implementation, and delivery of solutions that have a long-term quantifiable impact. Provide cross-organizational technical influence, increasing productivity and effectiveness of partner teams. Develop strategic plans to identify fundamentally new solutions for business problems. Assist in the career development of others, actively mentoring individuals and the community. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About The Team Science of Security is dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for security, privacy, and sovereignty. Basic Qualifications 5+ years of hands-on work in predictive modeling and analysis experience PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field Experience working in predictive modeling and analysis Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Experience programming in Java, C++, Python or related language Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment Preferred Qualifications 10+ years of relevant work in industry or academia experience Knowledge of problem solving, algorithm design and complexity analysis Experience creating novel algorithms and advancing the state of the art Have peer-reviewed scientific contributions in premier journals and conferences 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 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 USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually #J-18808-Ljbffr Amazon Science