Product Marketing Manager – Thermal Control, Semiconductor, AI & Data Center Infrastructure

This is a fully remote position, open to applicants in United States.

📋 Description

• Create unique messaging for thermal control systems related to AI products (such as GPUs, ASICs, AI accelerators, SoCs, CPO, and pluggable transceivers).

• Clearly communicate the value regarding performance, power efficiency, and thermal design aspects.

• Transform intricate concepts like optical transceiver laser thermal control, AI server and GPU cooling, rack density, cooling needs, and energy efficiency into impactful narratives for customers.

• Oversee the introduction of silicon and AI platform solutions that are optimized for high-density, thermally limited environments.

• Formulate go-to-market strategies that emphasize performance-per-watt, cooling efficiency, and infrastructure readiness.

• Collaborate with product and engineering teams to position offerings linked to data center scalability and sustainability.

• Examine trends in AI infrastructure, high-performance computing (HPC), and data center thermal management.

• Monitor competitive strategies regarding liquid cooling, immersion cooling, advanced air cooling, and energy-efficient architectures.

• Generate insights into how competitors tackle challenges related to heat density, power consumption, and scaling AI clusters.

• Provide sales teams with materials that clarify thermal trade-offs, rack-level limitations, and cooling requirements.

• Develop tools to convey total cost of ownership (TCO), power usage effectiveness (PUE), and data center operational efficiency.

• Work in partnership with ecosystem stakeholders including data center operators, cloud service providers, and cooling and infrastructure vendors (e.g., liquid cooling solutions).

• Produce content addressing AI infrastructure challenges, encompassing power delivery, cooling, and scaling constraints.

• Author whitepapers and technical briefs on the thermal demands of AI workloads, cooling technologies (such as liquid cooling, immersion, and direct-to-chip), and sustainable AI infrastructure.

• Represent the organization in dialogues concerning AI data center design and efficiency trends.

⛳️ Requirements

• Bachelor’s degree in Electrical Engineering, Computer Science, Mechanical Engineering, or a related field is required (MBA is a plus).

• A minimum of 5 years of experience in product marketing, technical marketing, or product management in:

• Semiconductors

• AI/ML platforms

• Data center infrastructure

• Strong comprehension of AI workloads (training vs. inference), compute architectures (GPU/CPU/ASIC), and power and thermal constraints in high-performance systems.

• Capability to translate technical subjects like heat dissipation, cooling architectures, and energy efficiency into business value.

• Exceptional communication and storytelling abilities.

• Preferred experience with AI data center infrastructure, hyperscale environments, or HPC systems.

• Knowledge of thermal management and cooling technologies.

• Familiarity with infrastructure design trade-offs for large-scale AI clusters.

• Experience working with cloud providers, colocation vendors, or system integrators.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan with employer matching.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuing education.

• A dynamic and inclusive work environment.