Senior Director, AI Product Management

Key Responsibilities:

• Define and execute the product strategy and roadmap for AI-centric data center platforms and rack-level systems, including compute nodes, interconnect fabrics, power delivery, and cooling subsystems.
• Lead market analysis to identify AI workloads and emerging system-level trends (e.g., large language models, inference at scale, rack-scale orchestration).
• Collaborate with silicon architects, systems engineers, firmware and software teams to translate market and customer needs into detailed product requirements and rack-level integration specifications.
• Engage directly with hyperscale cloud providers, enterprise customers and strategic partners to gather feedback, co-develop proofs of concept, and drive early deployments of rack-scale AI clusters.
• Partner with marketing and sales leadership to craft compelling value propositions, competitive positioning, launch plans and go-to-market collateral.
• Mentor and grow a high-performing team of product managers, fostering a culture of innovation, customer obsession, and rigorous decision-making. T
• rack product performance post-launch—covering system-level metrics like power efficiency, thermal headroom, and network utilization—iterating on features, pricing, and lifecycle management to maximize ROI and market share

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.

• 10+ years of Product Management or related work experience.Preferred Qualifications:

• Ph.D. in Computer Architecture, Data Center Systems, Machine Learning Systems or related field.
• Direct experience with AI frameworks (TensorFlow, PyTorch), compilers and optimization toolchains.
• Familiarity with emerging data center trends such as disaggregated architectures, DPUs, or AI inference at the edge.
• Patent filings or technical publications in AI accelerator design, high-performance interconnects, rack-scale architectures or thermal/power management.
• 12+ years of product management experience, with at least 5 years focused on data center or AI infrastructure.
• Deep system-level knowledge of AI accelerators, CPU/GPU architectures, interconnect fabrics (PCIe, CXL, UAL), memory hierarchies, storage subsystems, and rack-level system design (power delivery, cooling, cabling, rack orchestration).
• Demonstrated success defining and launching complex silicon-plus-software AI products and rack-scale solutions in collaboration with cross-functional development teams.
• Proven ability to engage with C-level executives and engineering leads at hyperscale cloud providers or tier-1 enterprise customers.
• Strong analytical skills, comfortable with financial modeling, market sizing, and competitive benchmarking.
• Excellent communication and storytelling abilities—able to translate technical detail into clear business impact.
• Track record of leading and mentoring product management teams, fostering career growth and cross-functional collaboration

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