Senior Legal Counsel

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

• Draft, review, and negotiate a broad range of high-value commercial agreements including customer contracts, data center service provider agreements, partner and reseller agreements, distributor arrangements, and marketing partnerships.
• Partner with the AGC to own and manage enterprise deal negotiations.
• Collaborate cross-functionally with Sales, Marketing, Product, and Finance teams to enable deals while ensuring appropriate legal risk management.
• Advise on contract structure and associated risks, ensuring alignment with organizational goals and legal requirements.
• Use legal technology and automation tools to streamline contracting processes, compliance tracking, and knowledge management.
• Identify and own improvements to the team’s operations, templates, and playbooks.
• Operate independently and provide practical, decisive guidance to our business teams that balances business objectives with legal risk.

You

• J.D. degree from an accredited law school and membership in at least one U.S. state bar.
• 6-10+ years of legal experience, with at least 3 years in-house (ideally in the technology, cloud infrastructure, or SaaS sector).
• Extensive experience drafting and negotiating complex commercial transactions on the buy-side and sell-side.
• Growth mindset, enjoys working in a fast-paced environment and managing multiple concurrent projects and tasks to completion within the required time frame.
• Interest in growing your impact and responsibilities over time.
• Team mentality with the flexibility to address unique issues in real-time and the awareness to know when to bring in others.

Nice to Have

• Experience in infrastructure-as-a-service industry
• Familiarity with privacy, data security, and/or compliance frameworks (e.g., SOC 2, ISO 27001) is strongly preferred.

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $191,000-$287,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

• Founded in 2012, ~400 employees (2025) and growing fast
• We offer generous cash & equity compensation
• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• Health, dental, and vision coverage for you and your dependents
• Wellness and Commuter stipends for select roles
• 401k Plan with 2% company match (USA employees)
• Flexible Paid Time Off Plan that we all actually use.

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.