Sr Manager, Applied Science, AWS Compliance & Security Assurance

Amazon • Seattle, WA

2d • $218,800 - $325,500 • Onsite

About The Position

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.

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 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.

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

Nice To Haves

• 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

Responsibilities

• 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, 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
• Collaborate with AWS AppSec, Privacy Engineering, and service teams to understand their security assurance needs and translate them into analysis capabilities
• Represent our team in the broader Automated Reasoning community at Amazon; contribute to automated reasoning initiatives, and academic partnerships

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Manager