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

• 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

Go-To-Market Strategy

• 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

Market & Competitive Intelligence

• 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

Sales & Partner Enablement

• 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)

Content & Thought Leadership

• 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

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

Key Skills

• Technical fluency across compute, power, and thermal systems
• Ability to connect silicon innovation with infrastructure constraints
• Strategic positioning in rapidly evolving AI and data center markets
• Cross-functional leadership across engineering, product, and sales
• Storytelling grounded in performance, efficiency, and sustainability