Sr Manager, Applied Science, AWS Compliance & Security Assurance

Our team builds and operates automated reasoning technology that powers security and privacy assurance across Amazon and AWS at scale. This technology is deeply integrated into critical Amazon and AWS security workflows, operating at the intersection of automated reasoning, program analysis, and applied security. 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 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. You will also contribute technically as a player/coach, partnering closely with security, privacy, and compliance stakeholders across AWS to expand the reach and impact of provably correct code analysis.

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 platform's 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.

Requirements

• 10+ years of applied research experience.
• Master's degree in Computer Science (Logic, Programming Languages, Formal Methods, or equivalent).
• 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.

Qualifications

• PhD in Computer Science (Logic, Programming Languages, Formal Methods, 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.

Benefits

Amazon offers comprehensive benefits including:

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
• Employee Assistance Program (EAP) and Mental Health Support.
• Medical Advice Line and Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Pay

• USA, NY, New York: $240,600.00 - $325,500.00 USD annually.
• USA, WA, Seattle: $218,800.00 - $295,900.00 USD annually.

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.