Head of Commercial Partnerships

Posted One Month Ago
Be an Early Applicant
2 Locations
Remote or Hybrid
150K-350K Annually
Expert/Leader
Artificial Intelligence • Security • Cybersecurity
The Role
Build and lead Lucid’s partnerships function by sourcing, structuring, and closing commercial and technical partnerships. Own partner relationships through delivery, co-sell into enterprise accounts, develop repeatable reference architectures, and cultivate direct enterprise and public-sector relationships. Represent the company in standards and governance forums, support pricing and commercial positioning, and build the team and processes needed for growth.
Summary Generated by Built In

The Role

We are looking for a Head of Commercial Partnerships to build and lead our partnership function.

The organizations that most need verifiable compute are frequently reached through other companies rather than directly. Infrastructure providers, platform vendors, systems integrators and vertical software companies encounter these requirements in the course of their own enterprise growth, and are well placed to introduce us to the deployments that have stalled because of them. Developing those relationships, and converting the first joint deployment into a repeatable architecture, is the core of this role.

Responsibilities

  • Source, structure and close commercial and technical partnerships, and own those relationships through to delivery

  • Co-sell into partner accounts, and translate early deployments into reference architectures that can be repeated

  • Develop direct enterprise and public-sector relationships where a partner route is not appropriate

  • Contribute to pricing, packaging and commercial positioning alongside the founders

  • Build the team and processes the function requires as it grows

Requirements

  • Substantial experience building and leading a commercial or partnership function at an infrastructure or technically complex company, with direct accountability for revenue

  • A record of closing agreements that required security, procurement or governance approval

  • Credibility with both technical and risk stakeholders, and the ability to move between them

  • Judgement about which opportunities are worth pursuing, and the discipline to qualify on the specific deployment rather than the account

  • Comfort operating with limited precedent, and a preference for building structure rather than inheriting it

Useful, not required

  • A genuine interest in AI safety, and care about the problem this infrastructure exists to address

  • Experience buying or selling compute infrastructure at scale

  • Familiarity with European regulatory frameworks, including the EU AI Act

  • Experience in standards bodies, policy, or multi-stakeholder governance

  • Prior experience hiring and managing a commercial team

Practicalities

This role can be based in San Francisco or London, or fully remote. Regular travel to customers, partners and industry events should be expected. The base salary range for this role is listed above, with on-target earnings up to $500,000 including variable compensation. Compensation also includes equity.

Skills Required

  • Substantial experience building and leading a commercial or partnership function at an infrastructure or technically complex company
  • Direct accountability for revenue
  • Record of closing agreements requiring security, procurement, or governance approval
  • Credibility with technical and risk stakeholders
  • Ability to qualify opportunities based on specific deployments
  • Comfort operating with limited precedent and building structure
  • Interest in AI safety
  • Experience buying or selling compute infrastructure at scale
  • Familiarity with European regulatory frameworks, including the EU AI Act
  • Experience in standards bodies, policy, or multi-stakeholder governance
  • Prior experience hiring and managing a commercial team
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The Company
6 Employees

What We Do

Lucid Computing builds provable trust infrastructure for the agentic AI era. Its mission centers on making AI systems verifiable through hardware-rooted trust, helping establish confidence in the behavior and integrity of AI agents and applications. The company presents itself as focused on verifiable AI and operates in computer and network security, developing infrastructure intended to support trustworthy AI deployment across modern AI use cases.

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