Applied Science Manager, AWS Marketplace & Partner Services

Amazon • San Diego, CA

1d

About The Position

The AWS Marketplace & Partner Services Science team seeks an experienced Applied Scientist to drive innovation across multiple AI domains, including Context Engineering in Agent-based Systems, Agent Evaluation Frameworks, and Next-generation Software Recommendations. This role will be instrumental in revolutionizing how customers discover software solutions for cloud migrations and modernization initiatives. The ideal candidate thrives in an environment of scientific rigor and practical application, demonstrating both technical excellence and business acumen. They should be passionate about mentoring others and contributing to a culture of continuous learning and innovation. This role directly influences how thousands of AWS customers discover and implement software solutions, making it crucial for AWS Marketplace's growth and customer success. The position offers the opportunity to shape the future of AI-driven software recommendations while working with innovative technologies at AWS scale. The AWS Marketplace & Partner Services Science team is at the forefront of developing and deploying AI/ML systems that serve multiple critical stakeholders: - AWS Customers: Through the AWS Marketplace, we support Discovery tools that streamline cloud adoption and innovation. - AWS Partners: Via Partner Central, we offer advanced tools and insights to enhance collaboration and drive mutual growth. - Internal AWS Sellers: We equip our sales force with data-driven recommendations to better serve our customers and partners. Our primary objective is to accelerate cloud migrations and modernizations, fostering innovation for AWS customers while simultaneously supporting the growth and success of our extensive partner network. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 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 [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.

Requirements

• 3+ years of building machine learning models or developing algorithms for business application experience
• Experience programming in Java, C++, Python or related language
• 3+ years of scientists or machine learning engineers management experience

Nice To Haves

• 5+ years of scientists or machine learning engineers management experience
• PhD in Science, Technology, Engineering, or Mathematics (STEM), or Master's degree and 3+ years of working with or evaluating AI systems experience
• 5+ years of building large-scale machine learning and AI solutions at Internet scale experience
• - Demonstrated experience in prompt engineering and context optimization for large language models

Responsibilities

• Design and optimize context engineering solutions for large language models and agent-based systems
• Establish evaluation frameworks and metrics for measuring agent performance and effectiveness
• Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
• Mentor Scientists and influence scientific approach across the organization

Benefits

• Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree