Hewlett Packard Enterprise

AI Engineer

• Partner with the AI Process Lead and engineering teams to execute prioritized AI productivity initiatives
• Embed with teams to understand day-to-day coding workflows and identify practical improvement opportunities
• Create and maintain team-level AI artifacts, including AGENTS.md, .github/copilot-instructions.md, reusable prompts, and workflow playbooks
• Build and refine AI personas for concrete use cases (for example: PR reviewer, test gap detector, refactoring assistant)
• Implement AI-assisted code review and developer workflow automations (GitHub, CI/CD, scripts, internal tooling)
• Prototype and deliver tools in Python (or similar), with clear documentation and adoption guidance
• Track and report impact metrics for implemented changes (adoption, cycle time, review quality, defect trends)
• Provide enablement support through demos, office hours, and team training sessions

AI Engineer – Developer Productivity

Full-stack Engineer

• Stay current on developments in AI coding tools and agentic workflows; bring new ideas back to the organization and drive them to implementation.
• Author and maintain shared AI configuration artifacts: org and team-specific personas, and prompt libraries.
• Design and deploy AI personas for targeted use cases — for example, a security reviewer persona that critically evaluates PRs for vulnerabilities, or a test coverage persona that identifies gaps.
• Build and evaluate AI-assisted code review agents and workflows; measure their effectiveness and iterate.
• Prototype AI-powered tooling in Python or similar — automation scripts, GitHub Actions integrations, or custom agents.
• Partner with engineering leads and individual contributors across multiple teams to drive adoption and behavior change.
• Present findings, proposals, and results to engineering leadership; create clear, compelling documentation and slide decks.
• Act as tech lead for a small team that delivers value quickly.

AI Tools Architect – Tech Lead

Systems Engineer

• Partner with Account Executives to develop and execute technical sales strategies for assigned customers.
• Deliver compelling technical presentations, demonstrations, and proof-of-concepts (POCs).
• Design and architect end-to-end networking solutions across campus, data center, and WAN environments.
• Provide presales technical leadership throughout the sales cycle, including discovery, solution validation, and RFP responses.
• Act as a subject matter expert across routing, switching, wireless, security, and automation technologies.

Senior Presales Systems Engineer – HPE Networking – SLED / Enterprise

Software Engineer

• Provides direct and ongoing leadership for an organization of multiple subordinate managers and individual contributors designing and developing engineering solutions and managing projects utilizing multiple engineering disciplines for products, systems, software, and solutions.
• Manages headcount, deliverables, schedules, and costs for multiple ongoing projects and programs, ensuring that resources are appropriately allocated and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.
• Engages with program managers, marketing, supply chain, technical leaders and executives to communicate program status, escalate issues, and guide and influence strategic decision-making.
• Manages relationships with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating with outsourced resources.
• Proactively identifies opportunities for process improvement and cost reductions opportunities.
• Provides overall people-care management for direct reports, including hiring, setting and monitoring of annual performance plans, coaching, and career development; drives and fosters organization-wide performance standards, expectations, and practices to support ongoing team member and process development.

Engineering Solutions & Support Manager

Product Manager

• Define and drive the overall AI factory at-scale and sovereign solution vision, roadmap, and features, while closely aligning with customer needs and HPE strategic goals.
• Define and drive the key software components necessary for the solution, which may be a mix of HPE developed, commercial and community IP.
• Conduct market research, competitive analysis, and customer interviews to identify AI factory opportunities and validate solution ideas and software features in a quick turn manner.
• Collaborate with engineers, product managers and presales architects to translate requirements into technical specifications and prototypes.
• Use this data to inform the build/partner/buy decision on key SW.
• Oversee the software integration and end-to-end solution lifecycle, from feature ideation and MVP development to launch, iteration, and scaling.
• Monitor solution performance using KPIs like full-stack wins, product mix, customer satisfaction, and iterate offering based on data insights.
• Work with legal, finance, pricing and supply chain to setup and manage resale contracts for commercial SW.
• Partner with sales and marketing to develop go-to-market strategies, pricing models, support strategies and customer enablement materials.
• Ensure solution complies with ethical AI standards while ensuring highest level of data privacy and sovereignty (e.g., GDPR, CCPA).

Principal AI Factory Solution Product Manager

• Assess how engineering teams are currently using AI tools and identify high-value improvement opportunities.
• Evaluate AI-assisted workflows using measures such as quality, speed, adoption, and cost efficiency.
• Build lightweight instrumentation, analysis, dashboards, or automation tools to measure AI usage patterns and support optimization experiments.
• Partner with engineering leads and individual contributors across multiple teams to drive adoption and behavior change.
• Present findings, proposals, and results to engineering leadership; create clear, compelling documentation and slide decks.
• Stay current on model capabilities, pricing, workflow patterns, and optimization techniques.

AI Engineer – AI Efficiency, Economics

Sales

• Leads the sales community to success
• Communicates direction to the team in line with the company’s vision and strategy
• Inspires the team to meet and exceed goals
• Manages the HPE sales motion towards growth and increased profitability
• Creates a high performing team through recruiting, developing, and retaining talent
• Orchestrates major Enterprise-level customer engagements to deliver results and create the best customer experience in the industry
• Drives a hunting mentality

Storage Sales Manager

• Lead multiple project teams in all phases of functional and integration testing.
• Manage relationships with internal and external development partners.
• Review and evaluate designs for compliance with standards, providing feedback to improve quality.
• Offer expertise in software architecture and contribute to cross-organizational projects.
• Drive the adoption of new technologies and innovative solutions.
• Mentor and guide less experienced team members.

Senior Systems Software Engineer

Security Engineer

• Lead technical discovery sessions to understand customer business drivers, networking environments, and security requirements
• Design and articulate scalable SASE and Zero Trust architectures incorporating secure SD‑WAN, SSE, identity‑based access, and firewall technologies
• Deliver high‑impact product demonstrations, workshops, and proof‑of‑concepts showcasing HPE Aruba Networking SASE, including SD‑WAN, ZTNA, SWG, CASB, and DEM use cases
• Position and integrate solutions across the broader HPE + Juniper networking and security portfolio, including next‑generation firewalls and data‑center‑to‑cloud security designs
• Support sales pursuits by responding to RFPs, RFIs, and security questionnaires with clear, technically accurate documentation and diagrams
• Collaborate closely with account managers, specialist peers, partners, and services teams to drive successful deal outcomes
• Present confidently to both technical audiences and executive stakeholders, including security leaders and architects
• Provide field feedback to product management and engineering teams to influence roadmap and solution enhancements
• Travel across the Eastern U.S. to support customer meetings, partner engagements, workshops, and industry events

SASE & Security Presales Specialist

Procurement

• Leads a complex supply chain category; including data and industry analysis; reports results to business executives
• Leads a complex, international, cross-functional team
• Meets with Stakeholder business executives to discuss impact of supply chain strategic development on overall business and to develop forward-thinking supply chain strategies; influences the industry or marketplace for complex categories; engages with market leaders
• Develops and utilizes supply chain, business, and financial modeling tools
• Drives supply base optimization for complex categories
• Negotiates and completes contracts with highly complex and critical suppliers
• Responsible for day-to-day operations of the most complex, long-term suppliers
• Partners with suppliers in forward-thinking strategic development and relationship building

Logistics Sourcing Manager

• Partner with the AI Process Lead and engineering teams to execute prioritized AI productivity initiatives
• Embed with teams to understand day-to-day coding workflows and identify practical improvement opportunities
• Create and maintain team-level AI artifacts, including AGENTS.md , .github/copilot-instructions.md , reusable prompts, and workflow playbooks
• Build and refine AI personas for concrete use cases (for example: PR reviewer, test gap detector, refactoring assistant)
• Implement AI-assisted code review and developer workflow automations (GitHub, CI/CD, scripts, internal tooling)
• Prototype and deliver tools in Python (or similar), with clear documentation and adoption guidance
• Track and report impact metrics for implemented changes (adoption, cycle time, review quality, defect trends)
• Provide enablement support through demos, office hours, and team training sessions

Senior AI Engineer

• Assess how engineering teams are currently using AI tools and identify high-value improvement opportunities.
• Evaluate AI-assisted workflows and recommend changes that improve outcomes and reduce waste.
• Build lightweight instrumentation, analysis, dashboards, or automation tools to measure AI usage patterns.
• Partner with engineering leads and individual contributors across multiple teams to drive adoption and behavior change.
• Present findings, proposals, and results to engineering leadership; create clear, compelling documentation and slide decks.
• Stay current on model capabilities, pricing, workflow patterns, and optimization techniques.

• Applies expert subject matter knowledge to manage staff activities in solving complex business/technical issues
• Recruits and supports development of direct staff members
• Acts as a key advisor to senior management on the development of overall policies and long-term goals
• Builds well targeted business plans and strategies for allocating resources and driving sales activities

Senior Sales Manager, Networking

Engineer

• Successfully complete long and short-term benchmark projects involving some of the largest HPC systems in the world that utilize the latest HPC technologies.
• Understand HPC architectural components and features, as well as performance estimation methodologies used to provide required information and performance assessments for storage benchmarks on future HPE and competitive systems.
• Provide technical analysis of I/O in standard HPC storage and application benchmarks.
• Identify solutions, define action plans, and help coordinate and deliver optimal benchmark enhancements and solutions in partnership with account teams.
• Develop and maintain current knowledge of competitors’ and HPE’s HPC products and relevant HPC performance optimization techniques to ensure HPE’s ability to provide high-quality benchmark performance results.

HPC Storage Performance Engineer

• Develop and deepen executive relationships within GSIs to drive adoption of HPE storage portfolio.
• Drive adoption of HPE GreenLake for Storage as a consumption-based platform.
• Build and execute joint GTM strategies aligned to key use cases.
• Identify and scale new GSI partnerships aligned to storage growth priorities.
• Lead joint pursuits including large RFPs and proactive deal creation.
• Collaborate with cross-functional teams to align on solution positioning and execution.

AI Engineer – Developer Productivity

AI Tools Architect – Tech Lead

Senior Presales Systems Engineer – HPE Networking – SLED / Enterprise

Engineering Solutions & Support Manager

Principal AI Factory Solution Product Manager

AI Engineer – AI Efficiency, Economics

Storage Sales Manager

Senior Systems Software Engineer

SASE & Security Presales Specialist

Logistics Sourcing Manager

Senior AI Engineer

AI Engineer – AI Efficiency, Economics

Senior Sales Manager, Networking

HPC Storage Performance Engineer

Sales Specialist – Hybrid Cloud