Databricks · Operations · Senior · Posted 2026-07-06
Sr. Counsel, Product
Databricks · Bellevue, Washington; Mountain View, California; New York City, New York; San Francisco, California; Seattle, Washington; Washington, D.C. · $244k–336k base
This range's midpoint is above 93% of posted operations ranges at AI companies right now. See the salary index.
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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:
8+ 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 …
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