Product Manager

Job Req ID: 27219

Essential Duties and Responsibilities:

• Define and evolve the product vision and roadmap for GPU server platforms and AI infrastructure, aligned with company goals and market trends.
• Identify and prioritize high-impact opportunities in AI, ML, HPC, and cloud-native workloads.
• Cross-Functional Leadership
• Collaborate closely with engineering, hardware design, software, and operations teams to deliver innovative and scalable solutions.
• Partner with sales, marketing, and customer success to ensure successful product launches and customer adoption.
• Customer & Market Insights
• Engage with customers, partners, and industry experts to gather feedback and understand emerging needs in AI and GPU computing.
• Conduct competitive analysis and market research to inform product positioning and differentiation.
• Product Development & Execution
• Translate customer and business requirements into detailed product specifications and user stories.
• Drive product development cycles, from concept through launch, ensuring timely delivery and quality.
• Manage product lifecycle, including feature enhancements, performance tuning, and end-of-life planning.
• Go-to-Market & Enablement
• Develop go-to-market strategies, including pricing, packaging, and messaging.
• Support sales enablement with product training, collateral, and technical documentation.
• Performance Monitoring & Optimization
• Track product performance using KPIs and customer feedback to guide continuous improvement.
• Analyze usage data and operational metrics to identify areas for optimization and innovation.
• Innovation & Thought Leadership
• Stay current with advancements in GPU architectures, AI frameworks, and data center technologies.
• Represent the company at industry events, conferences, and customer briefings as a subject matter expert.

Qualifications:

• Bachelor's degree in a related field such as computer engineering, electrical engineering, or information technology
• Minimum 5 years’ experience in accelerated computing and working with other hardware accelerators such as DSPs & FPGAs and usage of hardware accelerators to speed up Computing, AI/ML, Deep Learning and other workloads
• In-depth knowledge of server hardware, software, and networking components
• Excellent communication and interpersonal skills, with the ability to build and maintain relationships with clients and stakeholders
• Demonstrated leadership skills, with the ability to motivate and mentor team members.
• Ability to work independently and make sound decisions in a fast-paced, deadline-driven environment
• Project management skills, including the ability to plan, organize, and manage resources effectively
• Communication skills, including the ability to communicate effectively with clients and stakeholders
• Analytical and problem-solving skills, including the ability to identify and resolve technical issues