Senior AI/ML Product & IP Counsel

Cohesity

Austin (TX)

Hybrid

USD 232,000 - 258,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Vacation and holidays
401(k) retirement plan
Life & disability insurance

Job summary

Cohesity is seeking a highly skilled in-house lawyer to lead AI/ML legal matters, reporting to the VP of IP&P. You’ll partner with engineering, product, OSS, and privacy teams to shape compliant AI/ML development and deployment, ensuring robust IP protection and licensing discipline.

Requirements include 10+ years legal experience, a JD, and strong AI/ML expertise; a CS/engineering background and patent experience are preferred. Hybrid, Austin-based role with competitive compensation.

Qualifications

  • 10+ years of legal experience in law firms and corporate settings.
  • Substantive AI/ML technical and legal expertise.
  • Engineering or CS degree preferred.
  • Registered patent attorney with in-house patent experience preferred.
  • Open source licensing experience preferred.

Responsibilities

  • Lead AI/ML legal issues across the company, coordinating cross-functionally.
  • Influence product development plans for legal and compliance use cases.
  • Collaborate with patent team to protect AI/ML innovations.
  • Ensure OSS license compliance with internal teams.
  • Develop AI/ML playbooks and training for stakeholders.
  • Present updates to executives and the board as needed.

Skills

AI/ML legal expertise
Legal leadership
Cross-functional collaboration
Regulatory compliance
Contract negotiation

Education

Juris Doctor (JD)
Engineering or CS degree preferred

Tools

IP docketing software

Job description

Cohesity is seeking a highly skilled in-house lawyer to lead AI/ML legal matters, reporting to the VP of IP&P. You’ll partner with engineering, product, OSS, and privacy teams to shape compliant AI/ML development and deployment, ensuring robust IP protection and licensing discipline.

Requirements include 10+ years legal experience, a JD, and strong AI/ML expertise; a CS/engineering background and patent experience are preferred. Hybrid, Austin-based role with competitive compensation.

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