Skills this job asks for
Supply chainLeadershipProduct managementCustomer successMachine learning
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Mar 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Pure Storage INC paid sponsored hires in similar roles1 certified filing for “SAP Materials Management Analyst” (Network and Computer Systems Administrators) in CA: $165k–$165k, median $165k.
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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 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Mar 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 Pure Storage INC paid sponsored hires in similar roles
- 1 certified filing for “SAP Materials Management Analyst” (Network and Computer Systems Administrators) in CA: $165k–$165k, median $165k. 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).
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
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
The Enterprise Data & AI Evangelist is the senior technical voice with customers, partners, analysts, and our own field organization. The role sits where the customer, product, and market meet. You'll spend your time with enterprise technology leaders, then carry what you learn back into what we build.
This is a senior individual-contributor role: no direct reports, and real influence — over how the market understands data intelligence, which opportunities we win, and what ships next. You'll lead through credibility rather than headcount, as part of a globally distributed team working across time zones and cultures.
You don't just explain technology. You change how organizations think about it, find where it creates value, and help make it real.
WHAT YOU'LL DO
• Customer & market engagement
• Build and hold senior executive relationships across strategic enterprise and global accounts, up to board level.
• Lead strategic technology discussions, positioning long-term vision in a customer-relevant context — and challenging their thinking when it needs challenging.
• Act as a trusted advisor on large-scale deployments, drawing on real-world experience rather than pitching.
• Expand engagement beyond active deals, where broader customer strategy actually gets set.
• Sales & pre-sales leadership
• Provide executive-level technical leadership on complex sales campaigns, including escalations.
• Partner with Sales and Solutions Engineering as a critical stakeholder in account strategy.
• Lead high-value customer moments: executive briefings, QBRs, and strategic workshops.
• Product & engineering influence
• Act as the conduit between customers and engineering, feeding back requirements, use cases, and priorities.
• Partner with Product on roadmap alignment and new product innovation, including validation with key customers.
• Assess where customer direction and Everpure's long-term plans align — and say so when they don't.
• Represent Everpure as a spokesperson with analysts, press, and industry forums.
• Drive market presence through conferences, webinars, training, blogs, and social.
• Develop the narratives and demos the whole field can use — the ones that make us a recognized leader in Enterprise Data & AI.
• Cross-functional leadership
• Collaborate across Engineering, Product, Sales, and Customer Success to deliver aligned outcomes.
• Support and mentor the broader field technical community.
• Contribute to global initiatives and special projects.
WHAT YOU BRING
• 15+ years in enterprise data, analytics, or AI, including time in a senior technical, architectural
• Significant time in large-scale enterprise environments, ideally with customer-side exposure: you've deployed and run complex technology at scale, not only sold it.
• Experience engaging C-level stakeholders and influencing board-level conversations.
• A track record working across pre-sales, product, and customer environments.
• Analyst relations, press engagement, or industry representation is advantageous.
• Technical & commercial capability
• Deep, current expertise across modern data platforms, cloud architecture, machine learning, generative AI, and agentic systems.
• Strong busi
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