Jobs / United States / Databricks
Partner Sales Director, Manufacturing & Energy
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 “Startup Account Executive” (Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products) in NY: $76k–$76k, median $76k. Most were filed at wage level I (100%) — 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
SLSQ227R148 As Partner Sales Director for Manufacturing & Energy, you own the partner go-to-market strategy for the vertical — architecting joint solutions with our most strategic partners, building durable pipeline, and holding partners accountable to execution that converts to partner-sourced and partner-influenced consumption. This is a highly visible, strategic role: you set the agenda across Sales, Field Engineering, Marketing, Partner Solution Architecture, and the partner ecosystem, and you carry Databricks' Manufacturing & Energy partner narrative to senior partner and customer executives. You will own and grow relationships with strategic partners across the vertical — including global and regional systems integrators such as Accenture, Deloitte, Capgemini, and IBM, and specialist data and AI partners — and you bring deep industry knowledge and an operator's mindset powered by modern AI tooling. Reporting to the Senior Director, Partner Sales. The impact you will have: • Build and own the pipeline engine — architect the Manufacturing & Energy partner GTM strategy and convert it into durable, partner-sourced and partner-influenced pipeline and consumption across the vertical. • Drive partner execution and accountability — hold strategic SI/ISV partners to joint commitments; inspect co-sell motions rigorously and remove friction so partners execute effectively against shared pipeline and revenue goals. • Lead solution development with partners — co-create differentiated, industry-specific joint solutions, accelerators, and repeatable GTM plays that pair partner capability with the Databricks platform to solve high-value Manufacturing & Energy use cases. • Run a disciplined operating cadence — pipeline reviews, forecast, and KPI inspection anchored to Salesforce as the system of record; report impact, not activity. • Own the executive relationship and narrative — build joint business plans and executive-ready narratives, and represent Databricks credibly to senior partner and customer leadership. • Orchestrate cross-functional alignment — set direction across Sales, Field Engineering, Marketing, Partner Solution Architecture, and partner leadership, resolving friction and keeping strategic deals moving. • Apply an operator mindset with AI-driven tools to improve forecasting accuracy, pipeline quality, solution development speed, and partner attribution. What we look for: • 8+ years in partner/alliance sales, channel, or GTM at an enterprise software, cloud, or data company; proven track record of building partner-sourced pipeline and driving measurable revenue impact. • Demonstrated ability to hold partners accountable and drive effective joint execution — from account planning through co-sell to closed consumption. • Experience developing joint solutions with SI/ISV partners — translating industry use cases into repeatable, differentiated offerings. • Track record of cross-functional leadership across Sales, Field/technical, Marketing, and partners in a matrixed environment. • Strong executive presence — shapes a business narrative and aligns senior internal, partner, and customer stakeholders. • Operational rigor: clean pipeline hygiene, KPI discipline, and data-driven inspection. • Industry fluency and across Manufacturing and Energy — understanding of the sector value chain and how data and AI create value across it; ability to translate industry use cases into joint partner solutions and GTM plays. • Demonstrated expertise across Energy sub-sectors (Oil & Gas, Power & Utilities), leading cross-functional initiatives in complex regulatory environments • Fluency with modern AI productivity tools to drive analysis, solution development, and operating efficiency. • Ability to travel as needed (approximat