Gimlet Media

General Counsel

San Francisco, CA

Sponsorship not specifiedDetected 51 days ago

Cloud PlatformsNegotiationSupply ChainProcurementCorporate LawLeadershipCommunication

About the role

Many of Gimlet's most important deals will involve three or more parties with layered commercial, technical, and ownership considerations, making this a defining challenge of the role.
Work cross-functionally with engineering, operations, finance, and go-to-market teams to enable rapid, thoughtful execution.

Responsibilities

Support data center, supply chain, hardware procurement, and infrastructure deployment initiatives.
Partner with leadership on financing activities, corporate governance, strategic transactions, and company-building matters.
Manage outside counsel effectively, using external support where specialized expertise is needed while building internal legal capability and driving repeatable work in-house over time.
Develop scalable legal processes, templates, policies, and risk management practices as Gimlet grows.

Requirements

Ability to navigate competing commercial, technical, IP, and risk considerations across multiple stakeholders.
Practical, solutions-oriented judgment with the ability to balance execution speed, risk management, and business outcomes.
Familiarity with data center infrastructure, cloud platforms, AI compute, or hardware supply chains.

Skills

Advise on IP, regulatory, compliance, and commercial issues related to AI infrastructure, cloud platforms, and compute ecosystems.
10+ years of legal experience, including meaningful experience in technology, infrastructure, cloud, AI, hardware, or related industries.
Excellent communication, negotiation, and relationship-building skills.

Company info

Gimlet is building the next generation of AI infrastructure: large-scale AI datacenters and the orchestration platform that coordinates them.
The future of AI will require vastly more compute than exists today. But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI.
The future of AI will require vastly more compute than exists today.
But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough.
The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency.
Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
large-scale AI datacenters and the orchestration platform that coordinates them.
Experience at a hyperscaler, neocloud, AI infrastructure company, semiconductor company, or high-growth infrastructure startup.
Experience building or leading an in-house legal function at a scaling company.
Negotiate and manage complex multi-party agreements with customers, infrastructure providers, hardware vendors, financing partners, and strategic partners.

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This listing is sourced directly from Gimlet Media's careers page and normalized into a canonical job model.