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Keystone AI

Enterprise AI for forecasting and optimization

General Counsel

Legal Counsel & Legal SupportConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Senior in-house legal leadership experience as an Associate General Counsel, Deputy General Counsel, or General Counsel, or experience as a senior law-firm partner.
  • Deep experience advising private-equity-backed or platform businesses.
  • Strong commercial judgment, comfort in high-change environments, sophistication around sensitive legal matters, and interest in building a durable function.

Responsibilities

  • Advise the CEO, leadership team, and Board on legal, governance, and risk matters.
  • Build and lead Keystone’s legal function, creating scalable systems that support growth.
  • Oversee key commercial agreements, partnerships, and strategic alliances.
  • Partner with revenue and business-development leaders to improve contracting efficiency.
  • Manage outside counsel relationships across top-tier firms and boutiques.
  • Own governance, compliance, and risk frameworks for a private-equity-backed business.
  • Navigate complex matters involving privilege, conflicts, and sensitive stakeholders.

About the Company

Keystone AI

Enterprise AI for forecasting and optimization

Keystone.AI commercializes the DEEP Enterprise AI platform that places neural-network-based prediction and decision systems at the core of large enterprises' operating models to optimize supply chains and free cash flow. It works by transforming ERP data (orders, shipments, invoices) into fine-grained event streams using its RAIN encoding, then the DEEP platform uses these streams with its Foundation Forecasting model to predict demand and optimize production, inventory, fulfillment, and capacity planning. It differentiates itself by embedding DEEP inside clients' existing cloud environments (AWS/Azure/GCP) and ERP/planning ecosystems (SAP, Oracle, Kinaxis, o9, OMP) and by acting as a scientific predictor and decision engine built on Keystone's methodological lineage. Its goal is to become the enterprise's central science-based predictor and decision tool that reduces forecast errors, improves operational efficiency, and enhances free cash flow for global supply chains.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Bellevue, WA
Founded
2003

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