Jobs / United States / Databricks
Director, Americas Field Marketing at Databricks
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 roles4 certified filings for “Sr. Manager, Field Engineering” (Computer and Information Systems Managers) in TX: $209k–$218k, median $209k. Most were filed at wage level IV (75%) — 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.
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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
MKTQ327R31 The Director, Americas Field Marketing, will lead the transformation of field marketing from event-centric to pipeline-obsessed, driving measurable revenue impact across half of our Americas business for Digital Natives, Startups, Retail, Communications, Media and Gaming, LATAM, and Canada business units. This role reports to the VP of Americas Marketing and owns the pipeline-generation strategy and execution, driving the next evolution of field marketing through data-driven program optimization, innovative demand generation, and scalable growth systems and processes. You'll hire and lead a high-performing team that treats every dollar spent as an investment in a measurable pipeline, moving beyond traditional event metrics to focus on conversion rates, deal velocity, and revenue attribution. The impact you will have: • Pipeline Ownership: Deliver measurable pipeline targets with full accountability for lead-to-revenue conversion across regulated industries • Data-Driven Strategy: Help build Americas field marketing strategy based on rigorous ROI analysis, pipeline attribution, and predictive analytics • Program Evolution: Transform team from event-focused to full-funnel demand generation, creating integrated campaigns that drive pipeline at every stage • Conversion Optimization: Implement testing frameworks and optimization processes that continuously improve conversion rates from awareness to closed-won • Revenue Attribution: Use pipeline attribution and reporting to directly connect field marketing investments to revenue outcomes • Scalable Systems: Design repeatable, scalable programs and processes that generate predictable pipeline growth in a hyper-growth environment • Cross-Functional Excellence: Drive seamless handoffs between marketing and sales with SLA-driven lead management and pipeline acceleration programs • Team Development: Build and mentor a team of pipeline-focused field marketers who understand the full customer journey and revenue impact What we look for: • Pipeline Expertise: 10+ years managing field programs with direct pipeline accountability and proven track record of exceeding revenue targets • Data & Analytics: Advanced proficiency in pipeline attribution, conversion analysis, and ROI optimization using SFDC, Tableau, and marketing automation platforms • Hyper-Growth Experience: 7+ years scaling field marketing programs in fast-growing tech companies, with experience managing large budgets ($2M+) and demonstrating clear ROI • Team Leadership: 5+ years building and leading high-performing field marketing teams with pipeline accountability • Revenue Operations: Deep understanding of demand generation funnels, lead scoring, sales processes, and revenue operations in B2B environments • Innovation Mindset: Proven ability to create breakthrough programs beyond traditional events—digital experiences, account-based campaigns, and omnichannel strategies • Systems & Process: Experience implementing scalable marketing operations, lead management systems, and cross-functional workflows • Stakeholder Management: Strong partnership skills with sales leaders, with the ability to speak their language around pipeline, conversion, and revenue impact 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 limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing