Applied Science Manager, EC2

Amazon Web Services is looking for an experienced Applied Science Manager to lead the EC2 Automated Reasoning Group team. You will be innovating researching and developing stateoftheart automated reasoning techniques for network observability and verification as well as other applications of automated reasoning across the organization. On this team you will help guide and lead a team of scientists who invent and implement innovative solutions for neverbeforesolved problems. If you have passion for automated reasoning with managing scientists this will be an exciting opportunity.

This team of scientists works closely with engineers product managers and leadership to invent the future. You and your team will interact with the broader automated reasoning community at Amazon and in academia by giving talks and publishing papers but also work closely to build innovative new services that delight customers.

Key job responsibilities
* Lead scientists and engineers on the team
* Drive projects at various stages ranging from initial exploration to deployment into production systems.
* Provide technical and scientific guidance to your team members.
* Rapidly design prototype and test many possible hypotheses in a highambiguity environment making use of both quantitative and business judgment.
* Collaborate with software engineering teams to integrate successful experiments into large scale highly complex production services.
* Report results in a scientifically rigorous way.
* Interact with security engineers product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.

About the team
About AWS
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Proven track record of managing science teams hiring and developing science talent
Track record of peer reviewed academic publications.
Strong verbal/written communication skills including an ability to effectively collaborate with both research and technical teams.
10 years of relevant experience in industry and/or academia.
Extensive experience applying theoretical models in an applied environment.
Expertise in a broad range of automated reasoning approaches and techniques including formal verification symbolic analysis model checking symbolic execution program analysis SMT/SAT solvers and theorem proving.
Domain expertise in development of verification and analysis techniques

MS/Ph.D. degree in Engineering Computer Science Mathematics or related technical field
Experience developing/modifying constraint solvers

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.