Director, Legal — AI/GPU Commercial

Rackspace Technology

68d•$185,709 - $272,373

About The Position

A senior commercial and transactional attorney who structures, negotiates, and closes complex commercial and product agreements for Rackspace's GPU-as-a-service, bare-metal, and broader AI infrastructure offerings. This role operates as an embedded subject-matter expert across RackLaw's sales, sourcing, privacy, and corporate development functions, providing GPU/AI/neocloud market fluency the department does not currently have in-house. The role is RackLaw's primary point of contact for legal issues distinctive to GPU compute, AI training and inference workloads, and the neocloud competitive landscape. Reports to the VP & Deputy General Counsel and partners with existing practice leads (Sales Legal, Sourcing, Privacy, and Solutions Counsel) rather than displacing them.

Requirements

J.D. from an ABA-accredited law school; active license to practice law in at least one U.S. jurisdiction, in good standing (required).
8+ years of post-bar experience in commercial/transactional practice, including substantial experience with technology, cloud, or data infrastructure transactions.
Deep knowledge of commercial contracting for cloud and IaaS/SaaS transactions.
Working knowledge of U.S. export control regimes applicable to advanced computing and semiconductor technology (EAR / BIS / RASA).
Familiarity with data privacy and protection frameworks applicable to AI training and inference workloads.
Ability to operate as a cross-functional subject-matter expert across multiple legal practice areas without direct management authority over those teams.
Sound business judgment; ability to translate fast-moving, ambiguous business requirements into workable legal terms.
Executive-level written and verbal communication; independent judgment and ability to operate with minimal supervision.

Nice To Haves

Prior in-house experience at a hyperscaler, neocloud/GPU cloud provider, semiconductor company, or AI infrastructure company.
Experience with export control, data privacy, or M&A matters, in addition to core commercial/transactional strength.
Experience negotiating equipment financing, lease, or offtake structures for infrastructure or hardware assets (e.g., master lease agreements, sale-leaseback, or off-balance sheet financing arrangements).
General knowledge of M&A and strategic transaction structuring, including complex financing arrangements.

Responsibilities

Serve as lead commercial counsel for Rackspace's GPU-as-a-service, bare-metal, and AI infrastructure offerings, drafting and negotiating solution and product terms, master service agreements, and order forms with enterprise customers and strategic partners.
Partner with Sales and Sourcing on complex GPU/AI capacity transactions, including customer-facing sales agreements and supply-side arrangements such as hyperscaler/OEM capacity reservations, data center colocation, partner agreements (including semiconductor manufacturer backstop agreements) and power/infrastructure agreements supporting AI workloads.
Negotiate directly with sophisticated counterparties, including chip and hardware suppliers, hyperscalers, and other neocloud/GPU providers, on novel commercial structures.
Monitor and advise on the evolving legal and regulatory landscape affecting AI infrastructure and advanced computing items, including export control policy (EAR requirements, end user/end-use screening, deemed export issues, RASA and complex licensing matters), data sovereignty, and emerging AI-specific commercial risks.
Partner with the Chief Privacy Officer on privacy and data protection issues specific to AI training, inference, and customer data handling in GPU compute environments.
Support M&A, strategic partnership, and investment activity involving AI/GPU infrastructure targets or counterparties, working directly with the VP & Deputy General Counsel on diligence, deal structuring, and integration.
Act as RackLaw's internal subject-matter expert on the GPU/neocloud competitive and regulatory landscape, advising Sales Legal, Sourcing, Solutions Counsel, and other practice leads on AI/GPU-specific issues that intersect their existing matters.
Develop and maintain playbooks, templates, and self-service tools for standard GPU/AI commercial terms consistent with RackLaw's tiered self-service model.
Provide practical, business-oriented legal guidance that balances deal velocity with legal and regulatory risk, consistent with RackLaw's self-service and risk-tiering framework.