Sr Manager, Applied Science, AWS Compliance & Security Assurance

About the Team
Our team builds and operates automated reasoning technology that powers security and privacy assurance across Amazon and AWS at scale. Our technology is deeply integrated into critical Amazon and AWS security workflows. We operate at the intersection of automated reasoning program analysis and applied security and our work directly impacts the security posture of every AWS service.

About the Role
We are looking for an experienced Applied Science Manager to lead the teams static analysis platform science this role you will own the technical vision and roadmap for our automated reasoning engines static analysis capabilities drive innovation in scalable program analysis and lead a team of applied scientists working at the frontier of automated reasoning for security while also contributing technically as a player/coach. You will partner closely with security privacy and compliance stakeholders across AWS to expand the reach and impact of provably correct code analysis. You will also partner closely with automated reasoning experts across the company and contribute to the science of security

Key job responsibilities
Technical Leadership: Own the science roadmap for our automated reasoning engine including taint analysis compositional heap analysis modular method summarization and dataflow graph generation
Hands-on Contribution: Personally contribute to key research and design decisions including prototyping novel analyses and reviewing technical artifacts
Team Building & Management: Hire develop and retain a world-class team of applied scientists; foster a culture of scientific rigor innovation and operational excellence
Product Integration: Partner with application security and service teams to expand our platforms integration footprint and deliver new security and privacy analysis capabilities
Research & Innovation: Advance the state of the art in static program analysis including exploring formal verification of analysis correctness (e.g. using Lean Coq or Dafny) expanding language support beyond Java and developing novel analysis techniques for emerging security properties
Stakeholder Engagement: Collaborate with AWS AppSec Privacy Engineering and service teams to understand their security assurance needs and translate them into analysis capabilities
Strategic Influence: Represent our team in the broader Automated Reasoning community at Amazon; contribute to automated reasoning initiatives and academic partnerships


About the team
Our team builds and operates automated reasoning technology that powers security and privacy assurance across Amazon and AWS at scale. Our automated reasoning engine is the core technology behind our managed dataflow mapping service which automatically tracks how data flows through AWS service teams code and infrastructure. Our technology is deeply integrated into critical Amazon and AWS security workflows. We operate at the intersection of automated reasoning program analysis and applied security and our work directly impacts the security posture of every AWS service.

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.

Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.

Training & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing training and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

- Masters degree in Computer Science (Machine Learning AI Statistics or equivalent)
- 10 years of experience in software development or applied research with at least 5 years in a technical leadership or management role
- Deep expertise in one or more of: static program analysis abstract interpretation taint analysis information-flow security or automated reasoning
- Proven track record of building and shipping production-grade analysis tools or developer-facing security tooling

- PhD in Computer Science (Machine Learning AI Statistics or equivalent)
- Experience in any of the following areas: SAT SMT mechanical theorem proving symbolic simulation programming language type systems program analysis.
- Background in application security encryption verification or data privacy compliance
- Track record of translating academic research into production systems with measurable security impact

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 youre applying in isnt 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 NY New York - 240600.00 - 325500.00 USD annually
USA WA Seattle - 218800.00 - 295900.00 USD annually