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Logical Intelligence

Formal-verification AI for critical systems

Deployment Strategist - Materials Discovery

Implementation & Technical Account ManagementUpdated on Nov 10
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of experience turning scientific work into signed customer agreements, such as in an application scientist, alliance manager, engagement manager, or deployment strategist role.
  • Experience taking pilots or proofs of concept to production with enterprise customers.
  • Experience running milestone-based agreements, including statements of work, collaboration agreements, or sponsored research agreements, and an understanding of fair acceptance criteria.
  • Ability to defend a computational benchmark to customer chemists and a business case to a chief financial officer.
  • Clear writing and strong spreadsheet modeling.
  • About 25% travel.

Responsibilities

  • Qualify new accounts based on measured data for the target property, a lab able to test candidates, an in-house method to beat, and a named budget owner.
  • Translate customer R&D problems into benchmarks, success metrics, and acceptance criteria agreed upon by scientists and procurement teams.
  • Structure milestone-gated programs, including statements of work, milestone tiers, and deployment plans, with the Head of GTM and legal counsel.
  • Run programs end to end, including plans, steering committees, risk management, gate evidence, and invoicing.
  • Coordinate Workbench deployments with engineering, including on-premise installation, security review, and onboarding.
  • Convert programs into annual licenses and scope expansion by property, metal system, and team.
  • Run academic and nanofab partnerships, from sponsored research agreements through the return of every measurement.
  • Build the deal desk, including pricing calculators, comparable deals, and program economics.
  • Feed deployment lessons back to research and engineering and write a playbook to make each deployment faster.

Desired Qualifications

  • Experience in industrial, chemistry, materials, energy, or manufacturing settings.
  • An MS or PhD in chemistry, materials science, chemical engineering, physics, or a related field.
  • Familiarity with computational chemistry tools or modern machine learning architectures.
  • University technology transfer or sponsored research experience.
  • Management consulting or forward-deployed experience.

About the Company

Logical Intelligence

Formal-verification AI for critical systems

Logical Intelligence creates AI for critical software and systems with formal verification. Its products combine energy-based models with automatic formal verification and code generation that is kept under formal reasoning controls, using Aleph Prover and other verification tools. The approach centers on proving properties and certifying generated code, rather than relying on unconstrained chatbot-style AI. The company demonstrates formal reasoning benchmarks, publishes critiques of frontier AI honesty around economic risk from unverified AI, and sells or partners on critical-systems AI and formal-verification technology. Compared with competitors, it emphasizes certainties and verified outcomes for safety-critical domains over open-ended AI, aiming to deliver AI that can be trusted in high-stakes environments. Overall, the goal is to provide deep-tech AI and formal verification solutions that enable verified, correct behavior in critical software and systems.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2025

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