Sr. Product Manager - Technical, AI/ML Lead, AWS Marketplace at Amazon

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Amazon
Sr. Product Manager - Technical, AI/ML Lead, AWS Marketplace
US, WA, Seattle

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AWS Marketplace is changing the way AWS customers buy and use third-party software, data, and professional services. AWS Marketplace for Machine Learning (ML) enables users to discover, buy, and deploy machine learning algorithms, models, and solutions developed by third-party vendors. It serves as a centralized hub for accessing a wide range of pre-built ML models and solutions that can be seamlessly integrated into various applications and workflows.

Our team is looking for a technical product manager to lead AI/ML category on AWS Marketplace. You will own the vision, roadmap, and execution of our AI/ML offering. This is a hands-on leadership role requiring deep technical expertise in artificial intelligence and machine learning. You will define the customer experience for discovering, purchasing, and configuring third-party SaaS products on AWS Marketplace. You will drive the roadmap for increasing customer adoption and engagement through features that increase product selection, simplify deployment and upgrades, and enable new pricing models that provide more value for customers. You will work across AWS service teams to build engaging end-to-end customer experiences.

This is a high visibility role requiring you to work closely with both AWS customers and AI/ML vendors. You will be their voice in front of AWS senior leadership teams. You will have to identify requirements, define product features, and working closely with development teams to get those features in the hands of our customers. You will also work closely with business development and marketing teams to drive traffic and adoption. Successful applicants will have experience defining products, leading cross-functional teams, and communicating to a large number of stakeholders.

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Key job responsibilities
Develop and drive the technical roadmap for AI/ML products/services on AWS Marketplace. Lead initiatives to make AWS Marketplace the best place to find, buy, and deploy AI/ML solutions.

Define technical requirements and product specifications to create a world-class catalog of AI/ML services for our customers. Collaborate cross-functionally with engineering, business development, marketing, and AWS AI/ML teams.

Continuously analyze customer needs to identify gaps and opportunities to build innovative AI/ML products. Develop and manage technical partnerships with AI/ML software vendors.

About the team
ABOUT AWS:

• Diverse Experiences
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.

• Why AWS
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.

• 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 in the cloud.

• Inclusive Team Culture
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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

• Mentorship and 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Austin, TX, USA | New York City, NY, USA | Seattle, WA, USA

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