Jobs / United States / Hewlett Packard Enterprise Company
Private Cloud AI Sales Specialist
Hewlett Packard Enterprise Company · 🇺🇸 3 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.
Or apply yourself on the official page →
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: HPE Private Cloud Sales Specialists are subject matter experts in positioning HPE Private Cloud AI; identifying and leading engagements with customers. Subject Matter Expert in the area AI Platforms & Generative AI and have expertise in the AI use cases, outcomes and technology stack (HW, SW) as well as differentiation from Hyperscalers and traditional competitors. They are brought into customer discussions to lead AI conversations supported by Client Specialist, influencing the client and helping to close complex deals. They also leverage market data (PTB), expertise & time to uncover other potential opportunities and hunt for new logos. The Private Cloud AI Sales Specialist is responsible for selling technology, services and/or technology management services (TMS) to end-user customers (and/or partners) in an assigned geographic territory or industry focusing on new business or up-selling within an account. The position requires a solid understanding of the services value proposition. The Private Cloud AI Sales Specialist develops consultative customer proposals, tailoring strategy and solutions to meet the needs of the customer. They understand the customer’s business challenges /objectives to provide value added services and solutions. In some instances these specialists may also be responsible for outsourcing deals. Management Level Definition: Unique mastery and recognized authority on relevant subject matter knowledge including technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in the most complex disciplines, in which the company must operate to be successful. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower-level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function. Responsibilities: • Leverages PTB data to target and prioritize opportunities in collaboration with Primary Seller, creating a plan. • Be the expert for the Private Cloud AI solution, conduct account and industry research to position PCAI. • Drives initial AI customer conversation and validates PCAI opportunity ,covering AI use cases and technical knowledge to position PCAI. • Is NOT a solution engineer but IS knowledgeable in technical aspects of PCAI HW & SW. • Position PCAI with all AI personas: technical/SW personas (CDO, MLOps, AI/ML Engineer, Data Scientist), outcome-driven personas (CEO, CTO, LOB) and ITDMs (CIO, VP Infrastructure). • Provides