Global Head of Commercial Legal

Description

VAST Data is looking for a Global Head of Commercial Legal to design, scale, and lead our global technology transactions function. As the provider of the foundational AI Operating System powering the world’s largest GPU neoclouds, enterprise AI factories, and sovereign AI initiatives, VAST is operating at an unprecedented scale.

In this role, you will transition our existing commercial legal frameworks from a highly successful high-growth model into a world-class global enterprise architecture. You will serve as the chief legal architect for multi-million and billion-dollar infrastructure transactions while building an international team capable of supporting exponential GTM velocity across AMER, EMEA, and APAC. This is a rare opportunity to define the commercial legal playbook for the entire AI infrastructure sector.

AI Data Governance & Frontier Risk Management

• Navigate Deep Tech Architecture: Address novel legal questions at the intersection of parallel computing, massive data ingestion, and real-time data processing.
• Global Regulatory Alignment: Ensure commercial terms proactively align with changing international compliance landscapes, including the EU AI Act, global privacy frameworks (GDPR, CCPA), and cross-border data transfer limitations.

Team Leadership & Operational Scale

• Build the Function: Recruit, mentor, and lead a high-performing, geographically distributed team of commercial counsel and legal specialists across North America, Europe, and Asia-Pacific.
• AI-First Legal Operations: Build Legal Ops to enable cutting-edge legal AI and CLM infrastructure. Implement automated triage, playbooks, and contract intelligence tools to drive reductions in deal cycle times.
• Cross-Functional Enablement: Develop structured enablement and training programs for the enterprise sales teams to systematically handle common inquiries.
• Metrics-Driven Management: Establish and monitor team KPIs, evaluating contract volumes, cycle times, and negotiation friction points to optimize resource allocation.