Hewlett Packard Enterprise

Hewlett Packard Enterprise

CloudOps Channel Specialist

Chicago, Illinois, United States of America · Senior

Sponsorship not specified$152k-$355kDetected 12 days ago
SalesforceCRMSalesCommunication

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 167 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 84%

Of 105 labor certifications old enough to have been used, 17 expired without the employer filing the next step. Median time from filing to decision: 483 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Reported a layoff in this occupation

In a green-card filing decided 2026-06-09, this employer stated it had laid off workers in Computer Systems Analysts (TX) during the preceding six months. 3 such filings on record.Describes the period before that filing, not necessarily today. Unlike WARN notices this is occupation-specific and federal.

DOL often reclassifies their job titles

The Department of Labor assigned a different occupation than this employer requested on 88% of its 137 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.

Files H-1B transfers

38 transfer filings in the last year, covering 38 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • HPE CloudOps brings together capabilities to help customers simplify, automate and modernize operations across virtualized, private and hybrid cloud environments.
  • Good at partnering, innovating, and making things happen?

Responsibilities

  • Own joint business planning and execution with strategic partners, aligned to HPE CloudOps priorities and revenue objectives with a strong focus on strategic enterprise opportunities and competitive displacement.
  • Drive joint pipeline generation and co-selling with partners and HPE Enterprise Field Sales to create and accelerate new CloudOps opportunities.
  • Expand strategic partners across CloudOps portfolio, increasing multi-product adoption and wallet share.
  • Develop and execute partner-specific growth plans focused on strategic pipeline, multi-product adoption and CloudOps revenue.
  • Lead strategic opportunity reviews, pipeline reviews and partner business reviews to maintain execution rigor and accelerate deal progression.
  • Join partners on strategic customer visits and unattended customer opportunities, demonstrating HPE CloudOps value and enabling partners.
  • Orchestrate the right Pre-Sales, Business Unit, Services, Channel and Sales resources to support strategic partner opportunities and improve conversion.
  • Help partners develop and scale their CloudOps practice and services readiness, including POCs, migrations, implementation and lifecycle services.
  • Communicate and activate HPE CloudOps roadmap, product releases, promotions, sales plays and competitive positioning with strategic partners.
  • Establish strong relationships with partner executives, sales leaders, solution architects and services leaders to create sustained joint business momentum.

Requirements

  • 5+ years of Tech sales experience with a proven track record in achieving sales targets
  • Experience with Salesforce or other CRM systems
  • Good start, you are aligned to our core values!

Nice to have

  • Bachelor's degree preferred, ideally in business, IT, or a related field
  • Channel sales experience is preferred

Skills

  • Experience selling Hypervisor technologies

Compensation

  • USD 151,500 - 355,000 in Illinois
  • This range reflects the minimum to maximum combined base and target-level sales compensation that would be paid if the hire performs at 100% of their sales plan.
  • Of that on-target pay amount, the mix of base salary and target-level sales compensation is 60%/40%."

Benefits

  • Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Company info

  • 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.
  • Engage directly with partners and customers through executive engagements, technical workshops, CloudOps modernization sessions and strategic customer meetings.

Equal opportunity

  • Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
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This listing is sourced directly from Hewlett Packard Enterprise's careers page and normalized into a canonical job model.