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
