Sr. AI Counsel
Rubrik Job Board
| Company | Rubrik Job Board |
| Category | Data & Analytics |
| Location | United States |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 6 Jul 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
About The Team
Rubrik is on a mission to secure the world’s data and our Legal Team is committed to supporting this mission, offering critical guidance across many areas of the business.
About The Role
Our growing AI Legal Team is looking for a lawyer who has a deep interest and understanding of artificial intelligence (AI) and is excited by the prospect of exploring the expanding legal landscape raised by this cutting edge technology. Ongoing advances in AI bring the promise of substantial gains in innovation and productivity but also raise complex issues relating to intellectual property, confidentiality, privacy, security, and more.
As a Sr. AI Counsel, you will help guide Rubrik’s continuing journey to harness the power of AI while mitigating risks. In this role, you will drive continuous improvements in our approach to AI and strengthen our review processes and controls, empowering Rubrik to embrace the power and promise of AI in a safe, responsible, and transparent manner. We are looking for a lawyer who is technologically inclined, is a pragmatic and business-oriented problem solver, likes to move quickly, and enjoys cross-functional collaboration, as you will be partnering with many teams, including Product, Engineering, Information Security, and of course, various teams across Legal.
What You’ll Do
Ensure that our use of AI complies with laws and regulations, meets our contractual obligations, and aligns with our security requirements
Enable adoption of AI tools to boost productivity and the launch of AI-powered products and features while mitigating legal, compliance, security, and business risks
Draft and negotiate AI terms in contracts with our vendors and our customers
Coordinate our review processes for use of generative AI and other advanced AI technologies
Educate our employees on AI issues
Improve our AI review processes to make them more effective, comprehensive, and efficient
Experience You’ll Need
Licensed attorney and law degree from an accredited law school
5+ years of relevant legal experience, including in-house experience at a technology company
Familiarity with AI models, concepts, and tools (e.g., machine learning, LLMs, NLP, retrieval augmented generation, AI agents and agentic AI)
Familiarity with AI-related regulations and frameworks, including the EU AI Act, NIST AI RMF
Experience in one or more of the following areas:
Data and privacy regulations
Customer contracts/licensing
Vendor contracts/procurement
Copyright / technology law
Product review and counseling
Industry compliance standards
Comfortable diving into technical details and able to quickly learn new technologies
Software-related technical expertise, experience, or educational background
Excellent communication and organizational skills
Ability to prioritize and manage simultaneous projects in a fast-paced environment
#LI-KY1
#LI-remote The minimum and maximum base salaries for this role are posted below; additionally, the role is eligible for bonus potential, equity and benefits. The range displayed reflects the minimum and maximum target for new hire salaries for the role based on U.S. location. Within the range, the salary offered will be determined by work location and additional factors, including job-related skills, experience, and relevant education or training. US (SF Bay Area, DC Metro, NYC, Seattle) Pay Range $177,800 — $266,600 USD The minimum and maximum base salaries for this role are posted below; additionally, the role is eligible for bonus potential, equity and benefits. The range displayed reflects the minimum and maximum target for new hire salaries for the role based on U.S. location. Within the range, the salary offered will be determined by work location and additional factors, including job-related skills, experience, and relevant education or training. US2 (all other US