Sr. Counsel, Product

Posted 5 Days Ago
Be an Early Applicant
3 Locations
In-Office
198K-272K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Provide end-to-end product legal counsel on data privacy, protection, AI, cloud, and security; draft and negotiate product/security contract terms (DPAs, BAAs); advise on vendor data flows, incident response, and go-to-market activities; partner cross-functionally and help improve product counseling processes.
Summary Generated by Built In

GAQ427R191

Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks’ engineering and product management teams as we navigate rapidly evolving global laws and regulations in big data, including data privacy, data protection, and AI.  This role will report to the Assistant General Counsel, Product. 

The impact you will have:

  • Demonstrate expertise in product counseling, data protection laws, marketing, and technology transactions, as well as the capacity to be a generalist and learn new areas of law and legal skills quickly. 
  • Exercise keen business and legal judgment. You know when to say “yes”, “no, unless …”, and “no”, but you also know when to escalate concerns. 
  • Contribute to developing processes to improve our product counseling function.
  • Provide end-to-end product counseling - from ideation to end of life.
  • Partner with teams across Databricks and close external partners that are building, deploying, and operating technology for external and internal users. 
  • Work cross-functionally with the commercialization, product marketing, marketing, and communications teams to bring our transformative offerings to market. 
  • Collaborate with other legal leaders in commercial, go-to-market, compliance, corporate, and public affairs with respect to product issues.
  • Deeply understand product and data risk issues to be able to hear and answer questions that aren’t asked and translate technical and security concerns into answers understandable to non-technical lawyers. 
  • Assist your product stakeholders in developing process improvements.
  • Draft and update form agreements regarding products and services, and negotiate product and security-related changes to customer contracts, including those in DPAs and BAAs.
  • Provide general legal support on a flexible, as-needed basis with respect to other areas of the business.
  • Work with potential vendors to understand data flows to determine privacy and data protection risk, and coordinate with the privacy legal team as appropriate. 
  • Advise on cybersecurity issues as a member of incident response teams.
  • Contribute as a team player to further the legal department's reputation as an effective, respected, and valued resource within the company.

What we look for:

  • 6+ years of relevant legal experience at a top law firm and/or in-house (a combination of both is a plus), with a minimum of 2 years focused experience in product, privacy, and/or IP law 
  • Experience with AI, FedRAMP requirements, or payments a plus
  • Experience working for a company offering platform services to business customers is a plus
  • Deep understanding of cloud and software technology, and a strong desire to work on legal issues in these areas
  • Technical background -- either an engineering or hard science academic background, demonstrated ability to acquire deep product understanding, or significant life experience as a general technology nerd
  • State bar membership required
  • Ability to prioritize and manage time, and client expectations, in the face of competing demands, often without direct guidance as we scale our rapidly expanding business
  • Comfortable working with distributed teams
  • Ability to exercise good judgment in raising issues and when collaborating with others
  • Outstanding written and verbal communication skills

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.


Zone 2 Pay Range
$197,800$272,050 USD

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 click here.

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.

Skills Required

  • 6+ years of relevant legal experience at a top law firm and/or in-house
  • Minimum of 2 years focused experience in product, privacy, and/or IP law
  • State bar membership
  • Deep understanding of cloud and software technology
  • Technical background (engineering or hard science academic background, demonstrated ability to acquire deep product understanding, or equivalent experience)
  • Experience with AI, FedRAMP requirements, or payments
  • Experience working for a company offering platform services to business customers
  • Outstanding written and verbal communication skills
  • Ability to prioritize and manage time and client expectations with competing demands
  • Comfortable working with distributed teams
  • Ability to exercise good judgment and escalate issues appropriately

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
  • Healthcare Strength Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
  • Parental & Family Support Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

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.

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