Jobs / United States / Databricks
Sr. Counsel, Product
Databricks · 🇺🇸 Bellevue, Washington; Mountain View, California; New York City, New York; San Francisco, California; Seattle, Washington; Washington, D.C.
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 445 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 78 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Databricks paid sponsored hires in similar roles5 certified filings for “Staff IT Product Specialist” (Computer and Information Systems Managers) in CA: $179k–$249k, median $185k. Most were filed at wage level I (60%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Databricks
The US Department of Labor certified 445 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 78 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Databricks →
About the role
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 s