H

Hewlett Packard Enterprise

Builds servers, networking and private cloud

Product Lifecycle Management Program Manager Graduate - High-Performance Computing & Artificial Intelligence Program Management Office

Full-Time
$62.9k - $145.3k/yr+ Variable incentives
Entry
Bachelor's, Master's
Spring, TX, USA
HybridHybrid role requiring an average of 2 days per week in an HPE office.
Project & Program ManagementProgram Management

About the job

Requirements
  • A Bachelor's or Master's degree in Business, Engineering, Computer Science, Information Systems, Supply Chain, Operations, Finance, Data Analytics, or a related field, completed or expected within one year of the start date.
  • Basic proficiency with Microsoft 365 applications such as Excel, PowerPoint, Word, Outlook, and Teams.
  • Ability to organize information, identify patterns, and summarize findings.
  • Foundational analytical, problem-solving, and critical-thinking skills.
  • Ability to manage multiple assignments, priorities, and deadlines with guidance.
  • Ability to prepare organized presentations, trackers, meeting notes, and status updates.
  • Willingness to work through ambiguity and adapt as priorities or program conditions change.
  • Demonstrated initiative, accountability, and sound judgment.
Responsibilities
  • Learn and apply HPE Product Lifecycle Management processes, tools, governance, and phase-gate requirements.
  • Support end-to-end product lifecycle planning and execution for assigned High-Performance Computing and Artificial Intelligence programs.
  • Coordinate with cross-functional team members to track deliverables, milestones, dependencies, risks, issues, and decisions.
  • Help maintain program schedules and dashboards that provide visibility into scope, schedule, quality, budget, and launch readiness.
  • Prepare meeting materials, status reports, action logs, decision logs, and review presentations.
  • Facilitate team meetings, document decisions, assign actions, and follow up with owners.
  • Communicate program progress and emerging concerns to program leaders and stakeholders.
  • Assist with product launch, sustaining, change-management, and end-of-life activities.
  • Contribute ideas that simplify Product Lifecycle Management processes, improve reporting, and strengthen team collaboration.
  • Help support one or more projects using defined Product Lifecycle Management processes, governance, templates, and tools.
  • Help develop and maintain project schedules that identify milestones, owners, dependencies, and target dates.
  • Track actions, risks, issues, assumptions, dependencies, and decisions; escalate concerns with guidance from senior team members.
  • Gather updates from functional owners and translate them into concise, objective program status.
  • Help prepare lifecycle and phase-review materials, confirm required deliverables, and document outcomes and follow-up actions.
  • Partner with Product Management and Engineering Program Management to align business priorities, technical execution, and time-to-market requirements.
  • Support cross-functional readiness activities involving Engineering, Supply Chain, Finance, Quality, Marketing, Sales Enablement, Services, and Support.
  • Analyze schedule, budget, quality, and readiness information to identify trends, gaps, and potential impacts.
  • Use collaboration and project-management tools to maintain reliable program records and a consistent source of truth.
  • Participate in retrospectives and continuous-improvement activities, then help implement agreed process improvements.
  • Seek feedback, apply lessons learned, and develop toward independent ownership of defined workstreams or smaller programs.
Desired Qualifications
  • Coursework or project experience involving project management, product development, operations, analytics, process improvement, or technology.
  • Familiarity with Agile, Waterfall, Lean, or product-development lifecycle concepts.
  • Experience with tools such as Smartsheet, Jira, Confluence, Microsoft Project, or Power BI.
  • Interest in pursuing foundational project-management training or certification.
  • Interest in High-Performance Computing, Artificial Intelligence, enterprise technology, hardware, software, or services.

About the company

H

Hewlett Packard Enterprise

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Hewlett Packard Enterprise sells servers, storage, networking and hybrid cloud software to large companies, governments and service providers. Its GreenLake platform lets customers run on-premises hardware as a metered cloud service, and its Cray supercomputers run national lab and AI training workloads. The networking business, built on Aruba and Juniper Networks, supplies campus, data-center and routing equipment. Revenue comes from hardware sales, multiyear support contracts, financing and subscriptions. The company traces its roots to Hewlett-Packard, founded in 1939, became a separate public company in 2015 and is headquartered in Houston, Texas.

Company Size

10,001+

Company Stage

IPO

Headquarters

Houston, Texas

Founded

1939

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Simplify Jobs

Simplify's Take

What believers are saying

  • Growth is strong: revenue hit a record $12.2 billion, up 34%, in the quarter reported September 2026.
  • Time off to recharge: HPE gives four Wellness Fridays off a year plus 60 hours of paid volunteer time.
  • Scale gives range: HPE runs server, storage, networking and supercomputer businesses under one employer.

What critics are saying

  • Cuts continue after Juniper: an October 2025 WARN notice listed 52 HPE layoffs in San Jose, California.
  • Integration pressure: HPE still targets $600 million in yearly Juniper cost savings by fiscal 2028, as of October 2026.
  • Supply limits sales: in September 2026, CEO Antonio Neri said memory supply stays very constrained until 2028.

What makes Hewlett Packard Enterprise unique

  • Networking is now core: Juniper helped make networking a $2.9 billion business in the quarter reported September 2026.
  • AI networking is surging: Networks for AI orders hit a record $700 million in the quarter reported September 2026.
  • Hybrid cloud model: GreenLake bills customers monthly for on-premises servers and storage they use.

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Benefits

  • Health Insurance
  • Flexible Work Hours
  • Hybrid Work Options
  • Professional Development Budget
  • Wellness Program

Growth & Insights and Company News

6 month growth

5%

1 year growth

12%

2 year growth

12%
The Register
Oct 29th, 2026
HPE storage offloads AI cache from GPUs, cutting time to first token up to 20×

HPE is giving its Alletra Storage MP X10000 a new job: holding AI inference state that would otherwise be evicted from costly GPU memory and recalculated later. In testing validated by Kamiwaza on NVIDIA H200 GPUs, the setup achieved up to 20× faster time to first token and 17× higher effective inference throughput than running without key-value (KV) cache offload. The test used NVIDIA Nemotron 70B and more than 30 concurrent agents on large-context, multi-agent workloads. HPE says the gains depend on context length, concurrency, cache hit rates, and transfer overhead. It also pairs the X10000 with Data Fabric for governed data access and with metadata generation at ingest to improve retrieval.

Yahoo Finance
Oct 28th, 2026
HPE picks ServiceNow for five-year AI support deal across its Cloud & AI business

HPE has picked ServiceNow to run support services for its Cloud & AI business under a five-year agreement, ServiceNow announced on October 28, 2026. The deal aims to deliver AI-powered support at scale. HPE will use the ServiceNow AI Platform as a single base for case and service management. Its Super Intelligence Control Tower will let HPE discover, secure, govern, observe, and measure AI agents, models, and identities, and stop any agent that acts outside its permissions. The rollout also covers customer service, field technician dispatch, data integration, hardware asset tracking, and returns handling. "Support is a critical part of the customer experience," said Mark Bakker, executive vice president and general manager, Operations, at HPE.

Yahoo Finance
Oct 23rd, 2026
HPE shares rise 4% to $57.46 on AI and lunar computing news, outpacing Dell and Super Micro

Hewlett Packard Enterprise (HPE) shares rose about 4% to $57.46, outpacing other AI server stocks. Dell Technologies gained roughly 2% to $462.42, while Super Micro Computer was essentially unchanged at $33.73. The S&P 500 ETF SPY slipped 0.34% to $761.35, while the Global X Data Center & Digital Infrastructure ETF rose about 2% to $25.39. HPE expanded its AI Factory offerings with NVIDIA and deepened a partnership with Schneider Electric to deploy industrial AI agents at the edge. It also said its Spaceborne Computer-4 will travel to the Moon's south pole on Astrolab's FLIP rover later this year. Investors may be favouring HPE's broader mix of enterprise, edge, and specialised computing over narrower peers.

Yahoo Finance
Oct 22nd, 2026
HPE shares fall 6.14% to $54.60 as it backs Nvidia OpenShell and Vera CPU racks

Hewlett Packard Enterprise (HPE) plans to support Nvidia OpenShell and introduce Vera CPU rack infrastructure. The move targets businesses that want tighter control over autonomous AI systems, sensitive data, and computing resources. HPE shares traded at $54.60, down 6.14%, at 11:20 EST on Thursday. In its fiscal third quarter, Cloud and AI revenue reached $9.0 billion, up 25.4% from a year earlier. The segment's operating margin rose to 17% from 7%. GuruFocus puts the shares 90.98% above its $28.59 GF Value estimate, suggesting investors still expect strong growth. HPE must now turn its AI offering into revenue and cash flow while defending its margin gains.

Associated Press
Oct 22nd, 2026
Schneider Electric, NVIDIA and HPE launch edge AI agents for process industries

Schneider Electric, NVIDIA and HPE have announced a collaboration to bring Physical AI to process and heavy industries. They unveiled Industrial AI Agents at the Edge in Berlin on October 22, 2026. The system runs on HPE Private Cloud AI, so autonomous agents work inside industrial sites. It targets three barriers to adoption: data sovereignty, cybersecurity, and AI consumption costs. The first three agents cover operational technology monitoring, cybersecurity, and energy optimisation. Customers manage them through Schneider's EcoStruxure Industrial Insights apps. CMPC Chile, a Latin American pulp and paper producer, has used Schneider's monitoring system for three years. It sees potential for AI agents to help its specialists investigate issues faster, while people stay in control of critical decisions.