GAQ326R349
Location: We're looking to hire for this role locally to our offices based in New York City, San Francisco, Mountain View, Denver, Bellevue, or Seattle. This will be a hybrid role with in-office expectations.
Databricks is looking for an experienced commercial attorney to join Databricks' growing commercial and go-to-market legal team. As Legal Counsel, you will be joining a team of legal professionals responsible for reviewing and negotiating customer agreements and providing legal support for Databricks' revenue-generating activities. You will report to the Director & AGC, Commercial Legal.
You have 4+ years of relevant commercial legal transactional experience with a focus on complex technology transactions. You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.
The impact you will have:
- Become an important member of the commercial and go-to-market legal team responsible for reviewing and negotiating commercial customer agreements. Focus on balancing/mitigating risk for the company while continuing to enable our rapid revenue growth.
- Cultivate strong relationships with field sales by providing sound, strategic counsel to close sales transactions and support ongoing go-to-market efforts.
- Help maintain and update our legal agreements, ensuring that terms and internal policies are positioned to continue enabling rapid revenue growth and maintaining long-term stability for the company.
- Serve as a solutions-oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, product portfolio, information security architecture, and data privacy/compliance policies.
- Work cross-functionally with our business partners (e.g., Finance, Information Security, Product, and Privacy) to align, communicate, and enforce applicable policies and controls to our global contracting processes.
What we look for:
- Minimum of four (4) years of technology transactions experience either at a law firm and/or in-house Attorney role.
- Relevant commercial transactional experience working for and/or supporting cloud-based software companies, including an understanding of consumption/commit-based business models and the quarterly sales cadence.
- Demonstrated experience drafting, negotiating, and closing complex software sell-side transactions and a strong understanding of contractual issues related to information security, data privacy, artificial intelligence, and intellectual property, including open source software.
- Proven ability to successfully navigate and counsel on complex legal issues while balancing and/or mitigating material risk.
- Able to prioritize competing demands and be responsive to client expectations in a fast-paced environment within a limited time period.
- Outstanding written and verbal communication skills.
- Growth mindset, strong attention to detail, excellent critical thinking, and problem-solving abilities.
- Teaming approach with a focus on building a strong interlock with clients, business partners, and key stakeholders.
- Previous experience working with retail and/or media/entertainment clients
- JD and good standing to practice law in the relevant jurisdiction.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
