Senior Counsel

About the role

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation. WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world's leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us! WEKA's General Counsel joined in 2025 as the company's first in-house lawyer, and we are now hiring our second. This is a true build role: much legal infrastructure (including templates, playbooks, policies, approval workflows, and training) is in active development and being formalized as the function matures. The right candidate will be energized by the opportunity to create these foundations alongside a hands-on GC, not looking for a role where they execute within an established system. This individual will report directly to the General Counsel and own day-to-day commercial contracting across WEKA's commercial models: enterprise term software licenses (deployed on-prem or in customer-managed cloud environments); neocloud arrangements that embed WEKA as the storage layer in partners' AI cloud and infrastructure offerings; and WEKApod turnkey appliance transactions. Each model carries distinct license, IP, liability, and partner dynamics. Beyond contracts, you will contribute across a broad range of legal matters including NDA and procurement workflows, reseller and partner agreements, policy development, product support, HR operational matters, marketing review, and corporate governance, as well as driving implementation of our CLM system. The ideal candidate is a hands-on, high-volume lawyer who thrives in ambiguous environments, builds structure without bureaucracy, and is energized by owning outcomes through to completion.

Responsibilities

• Commercial Contracting & GTM Execution
• Serve as the primary legal partner to Sales, Revenue Operations, and Finance on all commercial transactions, from initial deal structuring through close.
• Negotiate and manage reseller, distributor, and channel partner agreements across a large global partner network, including standard agreement rollouts, amendments, geographic scope issues, and ongoing partner relationship support.
• Manage deal-level legal risk and coordinate with cross-functional stakeholders to drive efficient deal cycles and consistent commercial terms.
• Legal Operations & Systems Design
• Mature and systematize WEKA's legal operating model by formalizing templates, playbooks, and approval workflows that are currently in active development, and building the systems and standards that will serve the team for years to come.
• Lead the implementation and rollout of our CLM platform, currently completing POC, in partnership with Sales, Revenue Operations, and IT, establishing intake workflows, playbooks, approval chains, and self-service resources that reduce legal bottlenecks over time.
• Build and refine legal templates, playbooks, and self-service resources to empower GTM teams.
• Cross-Functional Legal Support
• Provide practical, business-oriented guidance across a broad range of legal areas including marketing review, IT/security/privacy issues, employment matters, and corporate governance.
• Support Product and Engineering on development and launch activities, including intellectual property considerations, open-source licensing, AI-related regulatory requirements, and feature-level compliance review.
• Draft, update, and maintain internal policies (e.g., acceptable use, data handling, information security, employee-facing policies) and collaborate with stakeholders to drive adoption.
• Develop and deliver pract

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