
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.
🔥 1 hour ago
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• Partner with customers to architect scalable file and S3 object storage solutions • Understand application data flows, data lifecycle requirements, and performance characteristics • Size storage solutions based on capacity, throughput, latency, network bandwidth, growth, availability, and workload requirements • Lead technical workshops, assessments, benchmarks, and hands-on proofs of concept • Apply AI inference, RAG, data lakes, and analytics pipeline knowledge to storage architecture decisions • Collaborate with product management and engineering on customer requirements and roadmap priorities • Provide competitive knowledge, technical positioning, and solution guidance • Architect and document enterprise-scale file and object storage solutions • Analyze customer workloads, growth patterns, and data management requirements • Lead POCs validating performance, integration, scalability, and operational requirements • Help customers understand data ingestion, storage, processing, protection, movement, governance, and consumption • Present architectures and recommendations to executive and technical audiences • Support strategic presales engagements, RFIs/RFPs, solution sizing, and technical justification • Travel as needed to support customers, partners, and strategic opportunities
• 7+ years of experience designing, implementing, or supporting enterprise storage and data architectures • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field, or equivalent practical experience • Strong customer-facing architecture, consulting, or presales experience • Strong foundational knowledge of S3 object storage, including buckets, objects, APIs, authentication, data protection, and application integration patterns • Working knowledge of NFS and SMB • Experience sizing storage solutions based on capacity, performance, growth, network, and application requirements • Ability to plan, configure, execute, and troubleshoot technical POCs • Understanding of AI inference, RAG, vector databases, data lakes/Lakehouse’s, and large-scale analytics workloads • Understanding of data flow, lifecycle, management, protection, governance, and application consumption • Knowledge of throughput, latency, IOPS, metadata performance, concurrency, and network bandwidth • Excellent communication, presentation, troubleshooting, and problem-solving skills • Willingness and ability to travel for customer engagements • Experience with enterprise file or object storage platforms, including Dell PowerScale/ObjectScale, Pure Storage FlashBlade, NetApp ONTAP/StorageGRID, VAST Data, Scality, or other enterprise file or S3-compatible object storage platforms, preferred • Familiarity with AWS, Azure, and GCP storage services and integration patterns • Understanding of hybrid and multi-cloud data architectures • Knowledge of modern AI and analytics platforms and storage requirements • Awareness of the competitive enterprise file and object storage landscape • Experience in technical presales, consulting, solution architecture, or customer advisory roles
• Comprehensive benefits suite supporting physical, financial, and emotional wellbeing • Personal and professional development programs • Career development opportunities to become a knowledge expert or move to another division • Flexible work and personal needs management • Inclusive and accessible workplace • Reasonable accommodation during application or interview process for applicants with disabilities
Apply Now🕒 August 5
Pre-Sales Engineer helping Deepgram sell voice AI APIs across APAC. Designing POCs, prototypes, and architectures for strategic customers from Australia.
Cloud
Docker
JavaScript
Kubernetes
Python
Rust
TypeScript
🕒 June 1
Pre-Sales Solutions Architect supporting the sales team by connecting customer demands with security software solutions. Involves project management, technical assessments, and client interactions.
🇦🇺 Australia – Remote
💰 $49M Series B - BlackWall on 2025-03
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔍 Pre-sales Engineer