Salary
💰 $161,500 - $242,200 per year
About the role
- Senior Manager of Product Management for the Internal Cable and Connector (ICC) product team in TE Connectivity's Digital Data Networks business unit
- Drive cross-functional teams (Sales/FAE & Marketing, System Architecture, Engineering, Operations) to establish ICC product leadership on N+1 and N+2 high-speed connectivity solutions
- Own end-to-end product lifecycle to achieve 5-year aspirational business goals
- Conduct VOC to define ICC N+1 & N+2 product portfolio focused on AI/ML workloads, hyperscale data centers, and accelerated computing
- Conduct competitive displacement analysis to create ICC product strategy
- Manage and develop the ICC connector PM team to execute on the product strategy
- Drive and collaborate with system architecture team to create an ecosystem and drive industry standards wins (PCI-Sig, OCP, SNIA)
- Forge alliances with semiconductor partners (NVIDIA, Intel, AMD) to co-define next-gen interconnect architectures
- Develop relationships with ICC-focused customers to penetrate mainstream platforms and fuel pipeline across ICC connectors and cables
- Drive share growth to hit ICC's 5-year aspirational financial targets
Requirements
- 8+ years of product management experience in AI/ML-driven/server hardware products
- Proven track record launching standards-driven products through PCI-Sig/OCP/SNIA
- Experience managing global technical sales/FAE engagements to provide complex solutions
- Portfolio growth of ≥15% CAGR via platform design-wins at hyperscalers/OEMs
- Fluency in cost modeling (cable vs. substrate materials) and value-based pricing
- Demonstrated ability to align R&D/Operations on accelerated NPI timelines
- Expertise in crisis mitigation (supply chain/capacity bottlenecks, qualification failures)
- Regular travel to the San Francisco Bay Area to visit high-profile customers
- Preferred: Master’s degree in electrical or mechanical engineering
- Preferred: Existing relationships with cloud technical architects or standards body working groups
- Preferred: Experience with AI infrastructure deployments (GPU clusters, NVLink architectures)
- Competencies: Managing and Measuring Work; Motivating Others; Building Effective Teams
- Values: Integrity, Accountability, Inclusion, Innovation, Teamwork