Sr Manager, Applied Science, AWS Compliance & Security Assurance

About the Role

We are looking for an experienced Applied Science Manager to lead the team’s static analysis platform science team. In this role, you will own the technical vision and roadmap for our automated reasoning engine’s static analysis capabilities, drive innovation in scalable program analysis, and lead a team of applied scientists while 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 and contribute to the science of security.

• Own the science roadmap for our automated reasoning engine, including taint analysis, compositional heap analysis, modular method summarization, and dataflow graph generation.
• Personally contribute to key research and design decisions, including prototyping novel analyses and reviewing technical artifacts.
• Hire, develop, and retain a world‑class team of applied scientists; foster a culture of scientific rigor, innovation, and operational excellence.
• Partner with application security and service teams to expand our platform’s integration footprint and deliver new security and privacy analysis capabilities.
• Advance the state of the art in static program analysis, exploring formal verification of analysis correctness (using Lean, Coq, or Dafny), expanding language support beyond Java, and developing novel analysis techniques for emerging security properties.
• Collaborate with AWS App Sec, Privacy Engineering, and service teams to understand their security assurance needs and translate them into analysis capabilities.
• Represent the team in the broader Automated Reasoning community at Amazon, contribute to automated reasoning initiatives, and academic partnerships.

• Master’s 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 SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, or 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.

Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location. Amazon offers comprehensive benefits, including health insurance, 401(k) matching, paid time off, and parental leave. Learn more at (Use the "Apply for this Job" box below)..

USA, NY, New York: $ – $ annually
USA, WA, Seattle: $ – $ annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application process, please visit  for more information.