Jobs / United States / Hewlett Packard Enterprise Company
Private Cloud AI Sales Specialist
Hewlett Packard Enterprise Company · 🇺🇸 5 Locations
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 486 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 167 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 Hewlett Packard Enterprise Company paid sponsored hires in similar roles181 certified filings for “Cloud Developer II” (Information Technology Project Managers) in CA: $139k–$206k, median $172k. Most were filed at wage level IV (36%) — 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 — Hewlett Packard Enterprise Company
The US Department of Labor certified 486 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 167 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 Hewlett Packard Enterprise Company →
About the role
Private Cloud AI Sales Specialist This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: The Private Cloud AI Sales Specialist is responsible for driving growth of HPE’s AI business across New England, the Mid-Atlantic, and the Carolinas . This is a highly visible, customer-facing sales role focused on helping organizations move from AI experimentation to production by delivering secure, scalable, enterprise-ready AI infrastructure and platforms. This individual will serve as the AI sales specialist across the territory, partnering closely with Account Managers, technical specialists, services teams, partners, and executive leadership to identify, develop, and close strategic AI opportunities. The ideal candidate is a hunter and business builder who is comfortable creating opportunities from the ground up, engaging C-level executives and technical leaders, and navigating complex enterprise sales cycles. They should understand how AI is changing enterprise infrastructure requirements and be able to connect customer initiatives around generative AI, agentic AI, machine learning, data science, and accelerated computing to measurable business outcomes. This role requires someone who can operate at the intersection of AI, infrastructure, hybrid cloud, software, and services while building trusted relationships with customers ranging from technical practitioners to CIOs, CTOs, CDOs, and business executives. Responsibilities: • Own and drive the Private Cloud AI sales pipeline across New England, the Mid-Atlantic, and the Carolinas, with responsibility for pipeline creation, opportunity development, forecasting, and revenue attainment. • Proactively identify and develop net-new AI opportunities through prospecting, account planning, executive engagement, workshops, customer events, partner activities, and targeted sales campaigns. • Partner closely with Account Managers and extended sales teams to develop AI strategies within existing accounts while also identifying and landing new customers. • Lead customer conversations around Generative AI, agentic AI, machine learning, AI infrastructure, accelerated computing, and private/hybrid AI architectures . • Help customers evaluate where AI workloads should run across private cloud, public cloud, colocation, and hybrid environments based on performance, security, governance, data gravity, and economics. • Develop a strong understanding of customer AI initiatives, use cases, data environments, application requirements, and business priorities to create differentiated solutions. • Engage with customers from technical practitioners through CIO, CTO, CDO, infrastructure, data, AI/ML, security, and business leadership . • Translate technical capabilities into clear business outcomes including faster time to value, improved developer productivity, greater control of sensitive data, predictable AI economics, and lower total cost of ownership. • Lead complex sales pursuits from initial discovery through