Sr Mgr, Applied Science, AWS Supply Chain
Job ID: 3109417 | Amazon.com Services LLC
The AWS Supply Chain organization is looking for a Sr. Manager of Applied Science to lead science and data teams working on innovative AI‑powered supply chain solutions. As part of the AWS Solutions organization, we have a vision to provide business applications leveraging Amazon’s unique experience and expertise that are used by millions of companies worldwide to manage day‑to‑day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real‑world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no‑brainers to buy and easy to use.
Are you excited about developing state‑of‑the‑art GenAI/Agentic AI based solutions for enterprise applications? As a Sr. Manager of Applied Scientist at AWS Supply Chain, you will bring AI advancements to customer‑facing enterprise applications. In this role, you will drive the technical vision and strategy for your team while fostering a culture of innovation and scientific excellence. You will lead a fast‑paced, cross‑disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and deliver solutions that either leverage existing academic and industrial research or utilize your own out‑of‑the‑box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer‑facing products.
Key job responsibilities
* Build and mentor teams of Applied Scientists, ML Engineers, and Data Scientists.
* Set technical direction and research strategy aligned with business goals.
* Drive innovation in Supply Chain systems using AI/ML models and AI Agents.
* Collaborate with cross‑functional teams to translate research into production.
* Manage project portfolios and resource allocation.
Basic Qualifications
* PhD in Computer Science, Machine Learning, or related field.
* 7+ years in applied research, with 3+ years of people management experience.
* Track record of leading successful research projects and delivering business impact.
* Strong publication record in top‑tier conferences/journals (CVPR, NeurIPS, ICML, etc.).
* Experience managing technical teams in computer vision, ML, or AI.
* Demonstrated ability to translate complex technical concepts to various audiences.
* Experience with research program management and setting technical strategy.
Preferred Qualifications
* Experience in designing and implementing Supply Chain systems.
* Demonstrated experience in AI agent architecture design, including decision‑making frameworks and behavioral modelling.
* Experience implementing reinforcement learning for autonomous agent behaviour.
* Experience in professional software development.
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 US$218,800.00 – US$295,900.00 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. 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.
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