Description:
Ready to revolutionize AI datacenter thermal control solutions and deployments? Phononic is the place for you. We are seeking a results-oriented individual to join our Infrastructure Solutions organization to deliver industry leading innovative products in support of revolutionizing cooling solutions for AI datacenters.
About the Role
We are seeking a strategic and technically sophisticated Product Marketing Manager (PMM) to drive go-to-market success for our semiconductor and AI solutions. This role sits at the intersection of compute, AI workloads, and data center infrastructure, with a growing focus on thermal management and cooling technologies required to scale next-generation AI systems.
You will translate complex chip architectures, AI workloads, and power/thermal constraints into compelling value propositions—helping customers understand not just performance, but efficiency, sustainability, and total cost of ownership (TCO) in modern AI data centers.
Key Responsibilities
Product Positioning & Messaging
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Develop differentiated messaging for thermal control systems for AI products (e.g., GPUs, ASICs, AI accelerators, SoCs, CPO, pluggable transceivers)
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Articulate value across performance, power efficiency, and thermal design considerations
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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
Go-To-Market Strategy
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Lead launches of silicon and AI platform solutions optimized for high-density, thermally constrained environments
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Develop GTM strategies that highlight performance-per-watt, cooling efficiency, and infrastructure readiness
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Partner with product and engineering teams on positioning tied to data center scalability and sustainability
Market & Competitive Intelligence
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Analyze trends across AI infrastructure, high-performance computing (HPC), and data center thermal management
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Track competitive approaches to liquid cooling, immersion cooling, advanced air cooling, and energy-efficient architectures
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Develop insights on how competitors address heat density, power consumption, and AI cluster scaling challenges
Sales & Partner Enablement
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Equip sales teams with materials explaining thermal tradeoffs, rack-level constraints, and cooling requirements
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Develop tools to communicate TCO, power usage effectiveness (PUE), and data center operational efficiency
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Collaborate with ecosystem partners including data center operators, cloud providers, and cooling and infrastructure vendors (e.g., liquid cooling solutions)
Content & Thought Leadership
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Create content on AI infrastructure challenges, including power delivery, cooling, and scaling constraints
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Publish whitepapers and technical briefs on AI workload-driven thermal demands, cooling technologies (liquid cooling, immersion, direct-to-chip), sustainable AI infrastructure, etc.
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Represent the company in discussions on AI data center design and efficiency trends
Requirements:
Required
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Bachelor’s degree in Electrical Engineering, Computer Science, Mechanical Engineering, or related field (MBA a plus)
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5+ years in product marketing, technical marketing, or product management in:
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Semiconductors
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AI/ML platforms
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Data center infrastructure
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Strong understanding of AI workloads (training vs. inference), compute architectures (GPU/CPU/ASIC), and power and thermal constraints in high-performance systems
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Ability to translate technical topics such as heat dissipation, cooling architectures, and energy efficiency into business value
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Excellent communication and storytelling skills
Preferred
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Experience with AI data center infrastructure, hyperscale environments, or HPC systems
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Knowledge of thermal management and cooling technologies
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Familiarity with infrastructure design tradeoffs for large-scale AI clusters
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Background working with cloud providers, colocation vendors, or system integrators
Key Skills
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Technical fluency across compute, power, and thermal systems
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Ability to connect silicon innovation with infrastructure constraints
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Strategic positioning in rapidly evolving AI and data center markets
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Cross-functional leadership across engineering, product, and sales
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Storytelling grounded in performance, efficiency, and sustainability
