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 ResponsibilitiesProduct 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
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
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
Salary Description
$150,000 - $200,000
