Responsibilities

• Own the end-to-end product roadmap for TestCenter's AI networking portfolio
• Develop multi-year roadmap aligned to hyperscaler, NEM, and AI infrastructure vendor needs
• Define and prioritize feature requirements based on market trends, competitive landscape, and customer feedback
• Identify white-space opportunities across AI fabric test coverage including UALink, OCP ESUN, and NVLink validation
• Translate Scale-Out, Scale-Up, and Scale-Across AI cluster trends into actionable product initiatives
• Maintain roadmap versioning and communicate transparently across R&D, Sales, and Marketing
• Serve as the primary technical and product voice to Tier-1 customers — hyperscalers, NEPs, and AI chip vendors
• Provide technical guidance on 800GE and 1.6T test methodologies for AI
• Lead customer discovery calls and executive briefings
• Act as trusted advisor to customers on AI traffic emulation, congestion control validation, and fabric characterization

Requirements

• 15+ years of experience in product management, product marketing, or technical pre-sales roles within networking or test & measurement
• Demonstrable expertise in high-speed Ethernet (400GE, 800GE, or 1.6T) architecture, testing, and deployment
• Hands-on or deep architectural understanding of RDMA networking, specifically RoCEv2 and AI transport requirements
• Clear articulation of AI cluster scaling models: Scale-Out GPU fabrics, Scale-Up interconnects, and Scale-Across WAN/DCI designs
• Strong customer-facing communication skills with the ability to engage from IC-level engineers to C-suite stakeholders
• Proven ability to drive cross-functional programs across Engineering, Sales, and Marketing in a matrixed organization
• BS/MS in Electrical Engineering, Computer Science, or related technical field

Preferred

• Prior experience at network test & measurement vendors (VIAVI, Spirent, Keysight/Ixia) or hyperscaler networking teams
• Familiarity with AI/ML infrastructure vendors (NVIDIA, Broadcom, Marvell, Arista, Cisco) and their validation requirements
• Experience with Ultra Ethernet Consortium (UEC), IEEE 802.3, or other standards bodies
• Knowledge of GPU cluster orchestration and AI training/inference workload characteristics (GPT, diffusion, MoE models)
• MBA or equivalent strategic business experience