Principal Presales Engineer

Job not on LinkedIn

🔥 13 hours ago

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $149.3k - $308.6k / year

⏰ Full Time

🔴 Lead

🔍 Pre-sales Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Hewlett Packard Enterprise

WebsiteLinkedInAll Job Openings

10,000+ employees

🏢 Enterprise

🔧 Hardware

🤖 Artificial Intelligence

💰 $1.5G Post-IPO Equity - Hewlett Packard Enterprise on 2025-04

Enterprise • Hardware • Artificial Intelligence

Hewlett Packard Enterprise is an enterprise-focused technology company that delivers infrastructure, software, and services to help organizations build, manage, and secure hybrid cloud and AI-enabled environments. The company’s offerings — reflected in the provided text — include servers and high-performance computing (HPE ProLiant, HPE Cray), enterprise storage (HPE Alletra), networking products and services (HPE Aruba, Juniper partnership), AI platforms and turnkey AI factories, hybrid cloud and as-a-service offerings (GreenLake), security and networking (Zero Trust, SASE), and a broad portfolio of professional, advisory, and support services. HPE positions itself as a partner for large organizations modernizing data centers, deploying AI at scale, and adopting hybrid cloud operations.

📋 Description

• Serve as a trusted technical advisor to customers, partners, and account teams throughout the sales lifecycle • Partner with sales teams to understand customer requirements, develop account strategies, and identify business opportunities • Design, architect, validate, and position networking, cloud, automation, AI-driven infrastructure, and security solutions • Lead technical discovery sessions, architecture workshops, executive presentations, product demonstrations, and proof-of-concept engagements • Develop solution architectures, implementation strategies, migration plans, and engineering bills of materials • Own and deliver technical responses for RFPs, RFIs, and RFQs • Build and maintain relationships with customer stakeholders, partners, and decision-makers • Advise customers on data center modernization, AI networking, cloud connectivity, WAN transformation, automation, and digital transformation • Collaborate with Product Management, Engineering, Customer Success, and strategic partners to advocate for customer requirements and influence product strategy • Maintain expertise in industry trends, emerging technologies, and competitive solutions • Share knowledge through customer enablement, technical presentations, mentorship, and continuous professional development

🎯 Requirements

• 10+ years of experience in technical pre-sales, Systems Engineering, Solutions Architecture, Network Engineering, Consulting, or related customer-facing technical roles • Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or a related field, or equivalent industry experience • Experience designing, architecting, and delivering large-scale Data Center, WAN, Cloud, and Service Provider networking solutions • Expertise in EVPN/VXLAN, spine-leaf and Clos fabrics, underlay/overlay networking, and DCI technologies • Understanding of BGP, OSPF, IS-IS, MPLS, Segment Routing, Traffic Engineering, and Layer 2/Layer 3 VPN services • Experience designing and implementing enterprise, cloud, and service provider WAN architectures and cloud connectivity solutions • Technical expertise across routing, switching, and network infrastructure technologies • Ability to engage technical and business stakeholders through presentations, workshops, and consultative selling • Experience developing RFP, RFI, and RFQ responses and leading solution validation • Hands-on experience with HPE Networking, Juniper, or other leading networking platforms and management solutions • Experience with network security technologies including NGFW, IPSec, DDoS protection, MACsec, SIEM, and Zero Trust architectures is desirable • Familiarity with Mist AI, Apstra, Aruba Central, Paragon, or comparable platforms is an advantage • Experience with AI infrastructure, AI networking, data center modernization, and cloud connectivity architectures • Experience with AWS, Microsoft Azure, and Google Cloud Platform • Experience with virtualization, containerization, Kubernetes, VMware, OpenStack, and cloud-native technologies • Experience with Python, Ansible, Terraform, REST APIs, YANG, and NETCONF • Industry certifications such as JNCIP, JNCIE, CCNP, CCIE, AWS, Azure, GCP, or equivalent are welcomed • Willingness to travel as needed

🏖️ Benefits

• Comprehensive health and wellbeing benefits supporting physical, financial and emotional wellbeing • Personal and professional development programs • Flexible work arrangements to manage work and personal needs • Remote/teleworker work arrangement • Equal Employment Opportunity and inclusive workplace