Job Description

About the Company

The company develops and manages AI computing infrastructure that enables the training and deployment of advanced language and multimodal models. Its architecture includes high-density cloud clusters, on-premises data centers, and proprietary chip technology optimized for next-generation AI tasks.

The company’s semiconductor division is creating Language Processing Units (LPUs), custom accelerators designed for ultra-efficient inference, low-latency token generation, and scalable fine-tuning. This innovation sets a new performance standard for large language and reasoning systems used across various industries.

Through direct partnerships with AI developers, research labs, and global enterprises, the company provides access to secure, high-performance compute infrastructure designed for reliability, transparency, and continuous optimization.

The Opportunity: Chief Revenue Officer

The company is seeking a Chief Revenue Officer (CRO) to oversee global commercial operations and expand revenue across enterprise, government, and research clients. The CRO will be responsible for establishing the company’s go-to-market strategy, revenue structure, and customer success systems within both infrastructure and chip divisions.

This position combines strategic revenue design with a deep understanding of AI hardware economics, compute allocation models, and long-horizon enterprise partnerships. The CRO will play a central role in building a global revenue organization capable of sustaining growth through multi-year infrastructure and co-development contracts.

Strategic Priorities

1. Commercial Growth and Revenue Architecture

• Build a global revenue model that aligns recurring compute utilization with long-term client engagements.
• Develop pricing and allocation frameworks for on-demand compute, dedicated clusters, and co-located hardware installations.
• Drive sustained ARR growth through enterprise subscriptions, chip licensing, and infrastructure partnerships.

2. Go-to-Market and Field Organization

• Lead global GTM strategy covering direct sales, partner programs, and vertical integration channels.
• Build regional teams focused on high-value sectors such as research, defense, autonomous systems, and generative AI.
• Establish operational standards for forecast accuracy, margin visibility, and deal lifecycle performance.

3. Partnership and Ecosystem Development

• Structure strategic collaborations with hyperscalers, model labs, and national research initiatives.
• Negotiate co-development and joint go-to-market agreements for LPUs and quantum-adjacent AI architectures.
• Represent the company in global forums related to AI infrastructure, chip innovation, and sustainable compute design.

4. Organizational Leadership

• Build a performance-driven revenue organization integrating sales, marketing, and customer operations.
• Define success metrics that link customer adoption, infrastructure utilization, and operational efficiency.
• Ensure commercial decisions align with engineering velocity and product reliability.

Candidate Profile

• Fifteen or more years in executive commercial leadership across AI infrastructure, semiconductors, or high-performance cloud systems.
• Proven record of scaling ARR above $500 million through multi-channel enterprise and strategic partner ecosystems.
• Strong understanding of compute infrastructure economics, chip manufacturing cycles, and large-model deployment frameworks .
• Experience leading revenue operations in hybrid environments combining cloud delivery and hardware distribution.
• Strategic capability in long-term contract negotiation, cost modeling, and go-to-market orchestration.
• Demonstrated success building high-caliber revenue organizations in technically complex markets.

Compensation and Structure

• Performance Incentive: Up to 150 percent of base salary tied to ARR, profitability, and infrastructure utilization
• Equity Participation: 2 to 4 percent fully diluted, aligned with multi-year enterprise growth
• Comprehensive global benefits, travel and relocation support, and executive performance programs

This role defines the commercial architecture of one of the most advanced companies in the field of artificial intelligence. The CRO will shape how AI computing becomes accessible, efficient, and sustainable across the global economy.

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