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Commercial Counsel

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Lovable

AI app builder that turns natural-language prompts into full-stack web applications.

Maintainer signals as of 8/14/2026

Stockholm, Sweden
About Lovable

Lovable (lovable.dev) is a Swedish AI software-builder platform: users describe an app in natural language and Lovable generates production full-stack code — one of the fastest-growing AI products.

View jobs by Lovable

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead drafting and negotiations for complex enterprise technology agreements, including MSAs, enterprise terms and conditions, and DPAs. You will resolve AI-related deal concerns, align stakeholders, use AI tools to improve deal velocity, translate EU regulations into commercial terms, and maintain audit-ready deal documentation.

Requirements

  • 8+ years of legal experience, including 3+ years in SaaS.
  • Experience with six-figure enterprise deals and common negotiation sticking points.
  • Experience drafting and negotiating MSAs, enterprise terms and conditions, and DPAs from scratch.
  • Familiarity with DORA, the EU AI Act, GDPR, and common negotiation frameworks.
  • Ability to navigate AI governance, risk, and model-training concerns.
  • Ability to explain LLM provider and AI system deployer roles.
  • Ability to make high-stakes decisions with imperfect information and balance risk with commercial urgency.

Responsibilities

  • Lead the drafting and negotiation of MSAs, enterprise terms and conditions, DPAs, and other technology agreements for complex enterprise deals.
  • Resolve complex AI-related deal concerns, propose practical solutions, and align stakeholders.
  • Use Lovable and other AI tools to reduce deal cycles and increase deal velocity.
  • Translate EU AI Act, GDPR, and Data Act requirements into commercial terms.
  • Maintain clean, documented, and consistent deal records to support audits and expansion.
Commercial Counsel at Lovable | JobStash