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Databricks

Director, Americas Sales Finance

San Francisco, California Posted today

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Skills this job asks for

LeadershipAccountingFinancial modellingExcel

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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.
  • 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.
  • What Databricks paid sponsored hires in similar roles4 certified filings for “Delivery Solutions Architect” (Sales Engineers) in CA: $144k–$169k, median $150k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
4 certified filings for “Delivery Solutions Architect” (Sales Engineers) in CA: $144k–$169k, median $150k. Most were filed at wage level III (67%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

About the role

GAQ427R216 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is looking for an exceptional Director, Americas Sales Finance to join the GTM Finance team in the FP&A organization. You will serve as a trusted advisor to Americas Sales and Finance leadership, helping the business make data-driven investment decisions, optimize field capacity, and scale efficiently toward long-term growth and profitability. As a finance leader with experience in high-growth environments, you will combine strong business partnership, financial analysis, and executive communication. You will solve ambiguous problems, use first-principles thinking, and translate complex operating data into clear recommendations for senior leadership. The impact you will have: • Serve as the strategic Finance partner to Americas Sales leadership, providing financial insight and recommendations on growth priorities, investments, and business performance • Analyze regional performance against core KPIs, identify risks and opportunities, and translate operating trends into clear executive-level insights, and actions across topline performance and investments • Partner closely with Sales Strategy and Sales Operations to connect operating plans, pipeline, coverage, productivity, and other leading indicators to financial outcomes • Bring the Americas perspective into broader GTM and Finance decisions, surfacing regional risks, opportunities, and implications for the company • Expand influence in regional investment decision making, developing analyses and recommendations on trade offs across segments, geographic, coverage models, specialist motions, and other GTM initiatives • Develop a high-performing team and foster strong partnerships across Finance and GTM What we look for: • Bachelor's Degree in Business, Economics, Accounting, Finance, or an equivalent quantitative field • 10+ years of relevant experience in FP&A, corporate finance, management consulting, investment banking, or related roles; experience in enterprise software, SaaS, cloud, or consumption-based businesses strongly preferred • Business Partnership: proven ability to build trusted relationships with senior Sales and Finance leaders and influence business decisions through strong financial judgment • Financial Modeling: experience building and maintaining complex driver-based financial and operational models independently; advanced Excel or Google Sheets skills required • GTM Acumen: strong understanding of sales capacity, productivity, pipeline, coverage, resource allocation, investment ROI, and operating leverage in a high-growth environment • Data Analysis: ability to work with large datasets, identify the most important business drivers, and convert analysis into practical recommendations • Communication: strong executive presence with the ability to simplify complex issues and present compelling narratives, analyses, and recommendations to senior leadership • People Leadership: demonstrated ability to lead, develop, and retain high-performing teams • Curiosity and ownership to solve new problems independently, prioritize effectively, and operate with speed in a fast-moving environment 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

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