Applied Science Manager - Applied Science, AWS Compliance & Security Assurance

Description

About the Team
AWS Compliance, Security and Assurance (CSA) builds the technology that proves Amazon's compliance and security to the auditors, regulators, and customers who demand it, and that screens every party we do business with, at global scale. We operate at global scale: billions of screening events a day, hundreds of third-party audit engagements a year, and trade and product compliance spanning dozens of countries.

About the Role
We are hiring an Applied Science Manager to lead a team of applied scientists advancing CSA's science agenda, "Provable Trust in the Agentic Era." This agenda rests on two pillars: decisioning science, which builds ML and agentic systems that make and act on compliance decisions at scale with calibrated confidence, and verification science, which produces proof of correctness for the controls and systems that compliance depends on.

Key job responsibilities
What you will do:
-Lead, grow, and develop a team of applied scientists, setting technical direction and raising the bar on scientific rigor across the org.
-Own the science roadmap for one or more areas of the CSA agenda, spanning decision science for screening, assurance, and global product and trade compliance.
-Partner with engineering, product, and compliance leaders to move science from prototype into production systems that operate under real audit and regulatory scrutiny.
-Translate ambiguous compliance and assurance problems into well-posed scientific problems, then into shipped capabilities with measurable outcomes.
-Represent CSA science to senior AWS leadership, to auditors and regulators where appropriate, and in the broader research community.
-Recruit and mentor scientists, and build the operating model that lets a distributed science team do its best work.

About the team
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 Amazon’s 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, it’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll 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, there’s nothing we can’t achieve.

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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Basic Qualifications

- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives

Preferred Qualifications

- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
- Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.