Group Product Manager, AI Hardware and Software Co-Design

Job description

Define and execute the product strategy for your designated focus area, making decisions about areas of investment and prioritizing/deprioritizing features to keep cross-functional teams focused on outcomes. Partner with internal product areas and external customers to anticipate and synthesize complex future requirements, translating them into hardware and software specifications. Direct the resolution of difficult, ambiguous problems (e.g., model quality vs. latency) through evidenced-based, data-driven arguments. Collaborate closely with engineering to determine optimal technical implementation and scheduling. Drive the hardware through physical milestones and establish project processes to ensure alignment across distributed teams. Utilize AI to enhance your personal impact, identify new ultra-specialized product opportunities, and maintain a comprehensive working knowledge of the AI-powered product development lifecycle. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in product management or related technical role. 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.). Experience with AI/ML foundations, LLM/ML serving infrastructure, hardware accelerators, or silicon development. Experience working cross-functionally with engineering, research, and infrastructure teams to launch technical products. Preferred Qualifications: Master’s degree or PhD in Computer Science, Electrical Engineering, or a related technical field. Experience developing rich internal and external relationships, with a proven ability to project future customer requirements in a rapidly evolving, ambiguous landscape. Comprehensive knowledge of AI/ML architectures (e.g., Transformers, Mixture of Experts) and inference performance metrics (e.g., TCO, TT80T, QPS). Deep technical understanding of the silicon/hardware development lifecycle (EVT, DVT, PVT) and data center deployment constraints. Ability to discuss and resolve complex technical hardware, software, and model co-design tradeoffs.