What you will do
You will work across our Customers and products to deliver consistent experiences in key areas such as virtual image management, identity or infrastructure administration. You will partner with our Engineering, Product, Science and Customer Success teams to define program outcomes and metrics that describe customer success and performance of our agentic and virtualization experiences. You will bring together different stakeholders to define end states for our programs (e.g. customer adoption), understand the value to customers and the company, and create milestones that evolve our technology, quality and products.
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 peer Engineering, Product 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 B2B products, delivering vision and clarifying execution based on incomplete information. You anchor your decisions in data, guide teams to experiment, and learn from failures so that we improve the outcomes of our programs. You are familiar with distributed systems and platform serving a product portfolio for millions of customers in hundreds of concurrent usage scenarios.
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 the team
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.
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.
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.
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.
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.
Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
10+ years of managing large scale programs in the Software industry, involving different stakeholder teams (clients, engineering, product, analytics, science and others)
Demonstrated ability to deliver programs and their outcomes to customers, in a global and technical customer environment, with focus on outcome definition, risk management, planning and delivery
Experience mentoring and developing technical program, engineers and product managers in ambiguous, early-stage environments.
Demonstrated experience deploying production AI systems
Master's or PhD degree in Computer Science, Engineering, or a related technical field; or equivalent experience
15+ years of relevant experience including 3+ years at Principal scope
Experience leading large programs with 50K+ global clients
Experience with virtual desktop infrastructure or managed workspace platforms (WorkSpaces, Azure Virtual Desktop, Citrix, VMware Horizon).
Experience with Amazon Bedrock, Amazon Q, AWS Lambda, AWS Identity and Access Management (IAM), or other AWS AI and security services is a strong plus
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 - 177,000.00 - 239,400.00 USD annually
