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# Senior AI Hardware Product Manager

- **Company:** Microsoft
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $119,800.0 - $234,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Microsoft Online Services, Cloud Computing, Data Centers, Hardware Design, Micro Systems Technologies, Microsoft Software, Software Product Management, Software Engineering, Xbox Linux, AI Infrastructure, Graphics Processing Unit (GPU), Reliability of Systems, Model Architecture, Hardware Acceleration, Scalable Processor Architecture
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-ai-hardware-product-manager-mountain-view-ca--b457fa00-63ab-4c4e-a7d7-0f53d63a5136

## About the Role

Artificial Intelligence (AI), Product Management, Microsoft Product Family, Hardware Design, Cloud Computing, Business Strategy, Sun Microsystems SPARC Processor, Microsoft Windows Azure, Internet/Online Service, Xbox, Required/Minimum Qualifications

 * Bachelors Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience.

Other Requirements

 * Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Preferred Skills:

 * Bachelors Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.

2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).

4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).

4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

 * 2+ years of experience working on AI systems as an architect or a product manager
 * Familiar with AI systems roadmaps from Nviida, AMD, Microsoft and AI infrastructure challenges
 * Strong understanding of several of the below areas: GPU Architecture, Scale Up and Scale out networking, Data Center Specifications, Model Architecture and System Reliability
 * 3+ years of technical product management experience, including products within datacenter Hardware systems and/or Cloud infrastructure.
 * 3+ years experience creating product roadmap(s) from conception to launch, driving end-to-end program execution, defining product go-to-market strategy, and leading program direction discussions.

Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

## Description

* Collaborate with customers and partner organizations to define future generations of Artificial Intelligence (AI) Hardware for Azure at Microsoft.
 * Identify and prioritize customer needs, market opportunities, and competitive gaps, and translate them into clear and actionable product requirements and specifications.
 * Drive executive decision making for new investments, including competitive analysis, program goals and business requirements, architectural concepts, risk management strategies, financial analysis, schedule and hardware strategy.
 * Lead technical programs from concept to execution, collaborating with architecture, engineering and business teams to develop and drive end-to-end product development
 * Develop and maintain a high level of technical proficiency in AI workload requirements, AI technology landscape and AI Industry roadmaps.
 * Engage with senior leadership, highlighting risks across functional teams and providing recommendations to support product level decisions.
 * Operate effectively in ambiguity. Apply process where it creates value, and design process where it's needed. Recognize the situations where each approach is most appropriate.