Jobs / United States / Databricks
GTM Motions & Skills Enablement Lead
Databricks · 🇺🇸 United States
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 roles1 certified filing for “Sr. Enablement Program Specialist” (Management Analysts) in CA: $172k–$172k, median $172k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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.
Or apply yourself on the official page →
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
SLSQ427R611 The Impact You Will Have The pace of Data and AI is outrunning how most teams enable their field. Our Field has distinct roles, tenures, segments, industries, and regions. The problem? Generic enablement doesn’t meet their needs. In this role, you will help Databricks revolutionize the way we enable by building the strategy, plan, process, and engine that turns globally applicable enablement into targeted tracks for every seller. At Databricks, we are all builders. Partnering with the Global Sales Enablement team and Enablement Partners in-region, you will ship the apps, AI skills, and processes that make this a reality for our Field. This is an individual-contributor role; you lead through cross-functional influence and what you build. What You'll Do • Own the strategy, plan, process, and engine that enables GTM motions and skills-based enablement across sales and sales development roles. • Build the AI-native system that adapts globally applicable enablement into personalized tracks by role, tenure and skill, segment, and industry. • Build hands-on: apps, agents and skills, content, and automated processes, all AI-first, piloting and iterating fast rather than waiting for perfection. • Partner with the teammates who create globally applicable enablement so their work plugs cleanly into your adaptation engine. • Coordinate with regional teams around the world to pilot, refine, and localize outputs. • Install operating rigor, cadence, metrics, and reviews, that other teams adopt, and run a two-way loop that channels field friction back into what gets built. • Influence and align cross-functional stakeholders and senior sales leaders on the model and its priorities. What Success Looks Like • Within 6 to 12 months, a functional, AI-first process that delivers personalized enablement by role, tenure, segment, and industry. • Your work moves the numbers that matter: faster ramp, higher seller productivity, and measurable influence on downstream pipeline and win rates. • Globally applicable enablement flows into personalized tracks through a repeatable process. • Regional teams treat the model as their own, and the operating rigor you install becomes the standard beyond your own programs. • Databricks never launches another “one-size-fits-all” initiative again. What We Look For • 7+ years in a GTM role (sales or pre-sales), product management, product marketing, or sales enablement for a technical data and AI platform, with demonstrated, sharp instincts for what high-quality enablement looks like. • Deep fluency across the data, AI, and frontier-model landscape, with a track record of simplifying complex technical concepts for customers. • A fully hands-on, AI-native builder who personally builds and ships apps, skills, content, and processes with AI, and leads high-impact enablement programs across motions, products, and seller roles at scale without losing depth. • Exceptional cross-functional stakeholder management, with the EQ and exec presence to influence senior sales leaders as a trusted advisor. • The bias for action to rapidly pilot, assess the results, and iterate. • Sound judgment in ambiguous, multi-priority situations. • You elevate the Culture Principles beyond your own work, helping others apply them through scale and tradeoffs. Nice to Have • Instructional design or adaptive and personalized learning experience. 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 base 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