AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

• The AWS Data Center Design Engineering
• BIM & AI Technologies team is seeking a Product Manager
• Technical to drive the product strategy and delivery of AI-powered design automation solutions for AWS's global data center infrastructure. In this role, you will own the end-to-end product lifecycle for generative AI applications that serve architects, engineers, construction managers, and facility operators, transforming how data center design documentation is created, validated, and delivered at scale.

You will work at the intersection of Building Information Modeling (BIM), generative AI, and cloud-based platforms, partnering with software engineers, applied scientists, UX designers, and AECO domain experts to define, build, and launch products that accelerate facility design workflows. You will translate complex customer needs from the Architecture, Engineering, Construction, and Ownership (AECO) industry into clear technical requirements, drive cross-functional execution, and ensure AI-powered features maintain the high trust bar that engineering professionals demand, augmenting rather than replacing professional judgment.

The ideal candidate combines technical depth with strong product instincts, thrives in ambiguous problem spaces, and is passionate about applying AI to real-world engineering challenges at unprecedented scale.

• Key job responsibilities

• Define and own the product roadmap for AI-powered BIM design automation features, working backwards from the needs of architects, engineers, construction managers, and facility operators

• Write detailed product requirements documents (PRFAQs, technical specifications, and strategic narratives) that translate complex AECO workflows into clear, actionable engineering plans

• Partner with applied scientists and software engineers to evaluate technical feasibility, define success metrics, and drive end-to-end delivery of ML/GenAI-powered features from conception through launch

• Collaborate with UX designers to ensure AI-native product experiences maintain human-in-the-loop workflows and appropriate confidence levels for professional engineering use cases

• Drive cross-functional alignment across engineering, science, design, and AECO domain expert teams, managing trade-offs between time, effort, and feature scope

• Define and track key product metrics, leveraging data-informed decision making and experimentation to measure product success and inform roadmap priorities

• Engage directly with internal customers (data center design engineers, construction managers, facility operators) to deeply understand workflows, pain points, and opportunities for AI-driven automation

• Contribute to operational planning and business reviews, communicating product strategy, impact, and trade-offs to senior leadership

• Identify and address technical limitations that affect product scale, performance, or innovation in collaboration with senior engineers

About the team
Why AWS?

About 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.

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 celebrate our differences. Ongoing events and learning
experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con conferences, inspire us to never stop embracing our uniqueness.

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.

Mentorship & Career Growth:

We have a career path for you no matter what stage you’re in when you start here. 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.

Basic Qualifications

• 5+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience
• Bachelor's degree
• Experience contributing to engineering discussions around technology decisions and strategy related to a product
• Experience managing technical products or online services
• Experience owning/driving roadmap strategy and definition

Preferred Qualifications

• Experience leading cross-functional teams to deliver products and online services on tight deadlines
• Knowledge of agile product development and life-cycle management process
• Experience leading cross-functional teams to deliver products and projects on tight deadlines
• Experience in data center design, construction, operations, or facility maintenance
• Experience with AI/ML technologies and their practical applications in domain-specific products
• Experience working with the Architecture, Engineering, Construction (AEC) industry or related domains, including BIM, CAD, 3D geometry, or construction documentation workflows.
• Experience creating product documentation including PRFAQs, specifications, and strategic narratives
• Experience defining and tracking product success metrics using analytical tools

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, VA, Herndon - 129,200.00 - 174,800.00 USD annually
USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually