F

Fal

NLP-based sentiment & anomaly detection

Lead Counsel - Infrastructure

Legal Counsel & Legal SupportConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 8 years of commercial legal experience, in-house or at a firm serving infrastructure or technology clients.
  • Recent, hands-on experience negotiating compute infrastructure deals involving GPU or cloud capacity, data center or colocation, or hardware procurement.
  • Comfort with capacity commitments, take-or-pay terms, service-level agreements and credits, supply risk, and limitation of liability.
  • Ability to run several high-value, time-sensitive negotiations concurrently.
  • Sound business judgment and ability to frame risk and help the business make decisions.
  • Active bar membership in good standing; California membership is preferred, or the ability to register as in-house counsel.

Responsibilities

  • Lead negotiation of GPU capacity agreements with neoclouds, hyperscalers, and cloud providers, including commitment structures, pricing, service-level agreements and credits, delivery timelines, and liability caps.
  • Own hardware purchase and supply agreements for GPUs, servers, racks, and networking, including warranties, delivery, risk allocation, and vendor financing.
  • Support GPU-side referral, reseller, and partnership agreements, working with commercial counsel on sell-side compute terms.
  • Work day to day with capacity planning, sourcing, site acquisition, and finance so legal work supports the infrastructure build-out.
  • Design templates, negotiation playbooks, fallback positions, deal approval and tracking processes, and a scalable procurement function with operations.

Desired Qualifications

  • Real estate, energy, or power procurement experience.
  • Export controls, trade compliance, or international supply chain exposure.
  • Experience building a legal function or playbooks from scratch at a high-growth company.

About the Company

Fal

NLP-based sentiment & anomaly detection

Fal.ai enables data-driven businesses to improve analytics using natural language processing and machine learning, focusing on sentiment analysis and anomaly detection within dbt data models. It analyzes text such as customer reviews, support tickets, and surveys to classify sentiment (positive, negative, neutral) and spots unusual patterns in data transformations. The service integrates with existing data infrastructure that uses dbt models and is sold through tiered subscriptions that include basic sentiment analysis, advanced anomaly detection, and premium support. Its goal is to help organizations make informed decisions and improve customer satisfaction by delivering continuous analytics enablement and actionable insights.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.2B
Headquarters
Seattle, WA
Founded
2021

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