IP & Commercial Counsel for AI Enterprise

Happyrobot

San Francisco (CA)

On-site

USD 180,000 - 260,000

Full time

6 days ago
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Benefits offered by this job

Healthcare
Dental
Vision
Equity

Job summary

HappyRobot is seeking a seasoned Legal Counsel to protect intellectual property and negotiate commercial agreements across SaaS, enterprise, and vendor relationships. You will partner with product, engineering, sales, partnerships, and operations to align legal risk with business goals in a fast-growing AI infrastructure company.

The role requires strong experience in data privacy, IP ownership, and contract diligence, with a pragmatic, business-first approach and the ability to scale

Qualifications

  • Admitted to and in good standing with the bar of at least one US state.
  • 6+ years of relevant legal experience, ideally combining experience at a reputable law firm and an in-house legal team at a startup or high-growth technology company.
  • Strong experience drafting, reviewing, and negotiating SaaS agreements, MSAs, enterprise agreements, NDAs, DPAs, Order Forms and other commercial contracts.
  • Solid understanding of US data privacy laws and regulations, including CCPA/CPRA and other state-specific privacy requirements.
  • Experience handling intellectual property matters, including trademarks, patents, copyright, licensing, and IP ownership issues.
  • Excellent drafting, negotiation, and communication skills with a pragmatic, solution-oriented, and risk-based approach.
  • Strong commercial judgment and ability to balance legal risk with business priorities.
  • Ability to manage multiple priorities and high contract volume efficiently in a fast-paced, high-growth environment.
  • Strong sense of ownership, accountability, and execution with attention to detail and urgency.
  • Proven ability to work cross-functionally and build trusted relationships with business stakeholders.

Responsibilities

  • Draft, review, and negotiate a wide range of commercial agreements, including SaaS agreements, MSAs, enterprise agreements, licensing agreements, vendor agreements, reseller agreements, partnership agreements, Order Forms, DPAs, NDAs, and services agreements.
  • Advise internal stakeholders on commercial, intellectual property, and data privacy matters related to product development, partnerships, customer relationships, and business operations.
  • Review and negotiate data processing agreements (DPAs) and advise on compliance with US data privacy laws and regulations, including CCPA/CPRA and other applicable state privacy frameworks.
  • Support the company’s intellectual property strategy, including trademark, copyright, patent, trade secret, and IP ownership matters.
  • Assist with open-source software compliance, employee and contractor IP assignment matters, and IP diligence processes.
  • Build, improve, and maintain legal templates, negotiation playbooks, internal policies, and scalable contracting workflows to increase operational efficiency.
  • Provide practical, business-oriented legal advice that balances risk mitigation with commercial objectives and enables business growth.
  • Monitor legal and regulatory developments related to commercial law, intellectual property, SaaS businesses, and data privacy, and assess their impact on the company.
  • Support fundraising, due diligence, and other strategic corporate initiatives as needed.
  • Manage external counsel effectively when specialized legal support is required.

Skills

SaaS agreements
MSAs
DPAs
IP matters
Data privacy
Contract negotiation
Business risk awareness

Job description

HappyRobot is seeking a seasoned Legal Counsel to protect intellectual property and negotiate commercial agreements across SaaS, enterprise, and vendor relationships. You will partner with product, engineering, sales, partnerships, and operations to align legal risk with business goals in a fast-growing AI infrastructure company.

The role requires strong experience in data privacy, IP ownership, and contract diligence, with a pragmatic, business-first approach and the ability to scale

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