The role
From Amazon's own posting.
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.
We are AWS Agentic Workspaces, a part of AWS Applied AI Solutions (AAIS). We are creating a world in which our Customers’ people, teams and AI collaborate securely, from anywhere, on any technical stack, to create value for the world. Our product is a secure, managed environment that hosts and uses automation and agentic AI to increase the productivity and reduce cost of our Customers’ business workflows. It relies on Desktop Cloud Visualization (DCV), our high-performance display protocol, that provides Customers the ability to stream securely from any cloud/data center and network connections. Customers stream applications to simple client machines, focusing on the work rather than the virtualization infrastructure. Our team is part of AWS Applied AI Solutions, a team with a drive to allow millions of Customers to run efficient, safe and fast operations.
We are looking for a Principal Product Manager to evolve DCV. You will own the vision and deliver the results that scale DCV to thousands of clients and millions of users, across a diverse portfolio of products (e.g. Agentic WorkSpaces Applications, Agentic WorkSpaces Personal, EC2).
You will own the entire DCV portfolio, the success of its Customers and of their Customers. You will partner with our Engineering, Science and Customer Success teams to define the metrics that describe automation and agentic usage and efficiency, guiding Customers into the new era of business processes and ensuring our product delivers them measurable benefits. You will think about the CX of the Customer in all their personas (e.g. IT Administrator, Operator, Engineer, Builder, etc.). You will partner Customers to understand their needs and pains from legacy virtualization solutions, helping them reinvent their business processes to deliver cost and time savings with improved data and visibility. You will treat Agents as first class citizens, ensuring Customers can develop and deploy them safely on the workflows and environments enabled by DCV.
The ideal candidate:
This role is for you if you want to be part of reinventing how companies work. You gain energy from shaping an industry. While you have a track record of delivering simple solutions for complex problems, you know that success requires a strong team and partnerships across multiple functions. You think both long-term and short-term about how our Customers will derive value, and enable your peers, Engineering and Go To Market teams to see and realize the profitable future. You bring clarity to ambiguity, and spot the need for innovation on behalf of our Customers. Your past experience spans across enterprise software, cloud infrastructure, and AI/ML in environments which require security and quality.
Why this role matters:
Entire industries will go through shifts from automation, AI and agentic business. Every organization will need to answer: how do we let people and AI succeed together in their work, with high quality and securely, at near infinite scale. You will be building the answer with our Customers and Teams. This is an opportunity to participate in defining this industry, shaping it to your needs and ambitions.
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 and AmazeCon 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.
- 5+ years of technical (software development, network development, IT, other related) experience
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)
- 7+ years of working as a Technical Product Manager experience, with Principal level impact - leadership of multi-year product initiatives with demonstrated worldwide Customer and financial impact
- Demonstrated ability to lead through influence, to mentor and coach peers and stakeholders (e.g. Engineering, Analytics, Sales, Science, etc.). You do not just own your product and its success - you help people grow through your direct contributions that raise the quality bar, and through your positive influence.
- Bachelor's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
- Experience designing, launching, evaluating and improving ML systems - classifiers, error detection, agentic workflows
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 .
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually