Cooling the Data Centers and Optics that Power AI
Product Marketing Manager – Thermal Control, Semiconductor, AI & Data Center Infrastructure
Location
United States
Posted
2 days ago
Salary
$150K - $200K / year
Seniority
Senior
Job Description
Product Marketing Manager – Thermal Control, Semiconductor, AI & Data Center Infrastructure
Phononic Inc
• Develop differentiated messaging for thermal control systems for AI products (e.g., GPUs, ASICs, AI accelerators, SoCs, CPO, pluggable transceivers) • Articulate value across performance, power efficiency, and thermal design considerations • Translate complex concepts such as optical transceiver laser thermal control, AI server and GPU cooling, rack density, cooling requirements, and energy efficiency into customer-impact narratives • Lead launches of silicon and AI platform solutions optimized for high-density, thermally constrained environments • Develop GTM strategies that highlight performance-per-watt, cooling efficiency, and infrastructure readiness • Partner with product and engineering teams on positioning tied to data center scalability and sustainability • Analyze trends across AI infrastructure, high-performance computing (HPC), and data center thermal management • Track competitive approaches to liquid cooling, immersion cooling, advanced air cooling, and energy-efficient architectures • Develop insights on how competitors address heat density, power consumption, and AI cluster scaling challenges • Equip sales teams with materials explaining thermal tradeoffs, rack-level constraints, and cooling requirements • Develop tools to communicate TCO, power usage effectiveness (PUE), and data center operational efficiency • Collaborate with ecosystem partners including data center operators, cloud providers, and cooling and infrastructure vendors (e.g., liquid cooling solutions) • Create content on AI infrastructure challenges, including power delivery, cooling, and scaling constraints • Publish whitepapers and technical briefs on AI workload-driven thermal demands, cooling technologies (liquid cooling, immersion, direct-to-chip), sustainable AI infrastructure, etc. • Represent the company in discussions on AI data center design and efficiency trends
Job Requirements
- Required Bachelor’s degree in Electrical Engineering, Computer Science, Mechanical Engineering, or related field (MBA a plus)
- 5+ years in product marketing, technical marketing, or product management in:
- Semiconductors
- AI/ML platforms
- Data center infrastructure
- Strong understanding of AI workloads (training vs. inference), compute architectures (GPU/CPU/ASIC), and power and thermal constraints in high-performance systems
- Ability to translate technical topics such as heat dissipation, cooling architectures, and energy efficiency into business value
- Excellent communication and storytelling skills
- Preferred Experience with AI data center infrastructure, hyperscale environments, or HPC systems
- Knowledge of thermal management and cooling technologies
- Familiarity with infrastructure design tradeoffs for large-scale AI clusters
- Background working with cloud providers, colocation vendors, or system integrators
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