Director, Product Management

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Job Area:

General Summary:

Qualcomm’s Cloud AI Business Unit is seeking a Product Manager for the exciting role of driving and managing the strategic Cloud Hardware Platforms roadmap to support the Qualcomm Cloud AI Accelerator roadmap. In this customer-focused role, you will be working with the world’s leading Cloud Service Providers (CSPs), drawing insights and requirements from a deep understanding of the cloud hardware infrastructure landscape in these customer’s datacenters, and driving the Cloud AI server, rack, systems and platforms definitions and roadmap, across accelerated-compute, scale-up and scale-out networking and storage requirements.

You will be working directly with the OEM and ODM partners, and BU system engineering leadership to deliver a best-in-class portfolio of servers, racks and platforms integrated with Qualcomm Cloud AI accelerators, to CSP customers. You will manage the strategic OEM and ODM customer engagements and programs from initial development through post-launch to bring the portfolio of next-generation Qualcomm OEM and ODM Cloud AI Platforms to market. 

Minimum Qualifications:

KEY RESPONSIBILITIES: 

• Responsible for definition and execution of strategic planning of Cloud AI Hardware Platforms roadmap, including servers and racks, to support Cloud AI accelerators
• Responsible for partnering with and managing key OEM and ODM customer engagements, from product concept through qualification and post-launch, to deliver the Cloud AI  servers, racks and platforms, integrated with Cloud AI Accelerators, to CSP customers
• Drive and product-manage the OEM and ODM customer engagement activities. coordinating with internal stakeholders such as product management, software development, performance benchmarking, and applications engineering and making sure Hardware Platforms program milestones are met on time, action items are tracked and closed, technical issues are resolved, and program risks are mitigated in a timely manner
• Align with Qualcomm cross-functional teams (Business Unit, Sales, Engineering) on CSP and OEM/ODM requirements, with emphasis on driving enablement/communications, support, and debug/issue resolution, and address and balance prioritization of the requirements
• Drive executive decision making for new investments in Cloud AI Hardware Platforms, including competitive analysis, program goals and business requirements, architectural concepts, risk management strategies, financial analysis, schedule and hardware strategy
• Report overall execution status internally as well as externally and make critical communication to customers on schedule changes, unforeseen bugs, etc. and align on the right next steps
• Craft and deploy standardized lightweight processes to bring execution focus and efficiency
• Manage and handle escalations with a sense of urgency and proactive problem solving
• Facilitate closure of complex issues and action items requiring multi-party alignment of Qualcomm teams, customers, and their partners 
• Drive alignment of customer product roadmaps with Cloud Edge BU product roadmaps
• Engage directly in hands-on efforts for critical customer issues triage, analysis, and resolution 
• Build strong relationships with the program management and engineering counterparts on the customer side 
• Take end to end ownership of the product area and be a tireless voice of the customer, while ensuring business goals are met
• Drive adoption of Cloud AI Hardware platforms with customers: evangelize existing and future solutions across internal and external customers
• Work closely with datacenter business teams to drive adoption across the portfolio
• Work closely with SW and model teams to ensure product when delivered is a complete solution to accelerate adoption

PREFERRED EXPERIENCE: 

• 10+ years of experience in the Cloud and Datacenter industry, with experience at CSP, OEM, ODM, or technology provider level
• Solid understanding of CSP, OEM and ODM customer product life-cycle
• Significant experience in a customer-facing role and experience with CSPs or enterprise datacenter customers is a plus.
• In-depth knowledge of AI and Deep Learning use-cases and models.
• In-depth knowledge of cloud and datacenter AI hardware requirements and design, including scale-up and scale-out networking.
• Excellent written, oral communication, interpersonal, and presentation skills
• Ability to multi-task and handle multiple simultaneous projects
• Highly results driven
• Experience in writing business plans and commercial justifications 
• MBA

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Pay range and Other Compensation & Benefits:

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.