Pure Storage · 20 hours ago
AI/HPC Pre-Sales Systems Engineer
Pure Storage is reshaping the data storage industry and is seeking a passionate AI/HPC Pre-Sales Systems Engineer to join their fast-growing team. This role involves developing and leading Pure’s AI and HPC business by providing guidance and support for sales opportunities while ensuring account teams effectively qualify and position AI and HPC opportunities across their assigned territory.
Cloud ComputingData StorageEnterprise Software
Responsibilities
Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
Creating customer facing content (Technical Walkthroughs, Deep Dives, Qualification Guides, etc.) for AI and HPC opportunities
Advise leadership on appropriate methodologies and strategies to increase overall AI and HPC knowledge and enhance Pure’s position in the market
Lead/ Participate in customer facing calls, demos, POCs, EBCs, internal strategy/sizing sessions, and other related solution-focused activities
Connect the dots from technology solutions, inclusive of the Pure Storage portfolio and others from the ecosystem, to measurable customer business outcomes
Refine sales strategy and tactics, taking command of technical responsibilities
Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
Promote mutual roadmap and planning exchanges
Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
Move with market trends and competitive landscape to promote thought leadership within our organization
Be seen as the solution expert in complex POC and TCO calculations
Daily Slack availability and enablement, leading to customer/opportunity influence
Post-sales assistance with expert level knowledge around solutions
Partner with Sales & SE Leaders for two-way feedback and communication
High degree of cross-functional engagement with other GTM and corporate functions
Communicate, connect, and align people within the direct team and develop internal relationships across Pure Storage
Qualification
Required
Bachelor's Degree in Computer Science or related field or equivalent experience
8+ years of experience in the data center field, including hands-on experience designing, implementing, and maintaining comprehensive storage, networking, cloud, HPC and AI architectures and standards
Technical pre-sales experience is required
Prior experience in targeting new prospects and converting them into clients
Strong acumen in the Datacenter space with deep interest and vision for the industry, including knowledge of the landscape and Pure's solutions with a focus on the following: Deep understanding of industry AI frameworks (pytorch, tensorflow, jax etc), Deep understanding on high performance, low latency, highly parallelized compute solutions at scale (compute, network, storage), Deep understanding of accelerated compute environments (GPU, ASIC, FPGA etc), Understanding of AI and HPC orchestration and management layer (Kubernetes, slurm, vertex, sagemaker), Deep understanding of the convergence of HPC and AI infrastructure requirements and challenges, Understanding of classic unstructured data applications and next-generation analytics and web frameworks
Strong knowledge of Digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
Linux, NFS file systems and Linux distributed network environment
Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
Familiarity with AWS, Azure, GCP a plus
Familiarity with containers, k8s and microservices architectures
Self-motivated individual with an ownership mindset who drives the business to overachieve expectations
Excellent oral and written communication skills with an ability to explain complex concepts simply
Able to articulate and understand the customer strategy and Pure Storage's solution strategy to a technical level of detail for the AI and HPC domain and teach systems engineers and account executives these concepts
Strong technical and tactical problem solving skills and experience with complex engineering designs
Proficiency with CRM and opportunity management systems, preferably Salesforce.com
Ability to travel throughout the territories as required
Benefits
Flexible time off
Wellness resources
Company-sponsored team events
Company
Pure Storage
Pure Storage is an all-flash enterprise storage company that enables broad deployment of flash in data centers.
H1B Sponsorship
Pure Storage has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (166)
2024 (187)
2023 (187)
2022 (189)
2021 (125)
2020 (152)
Funding
Current Stage
Public CompanyTotal Funding
$529.26MKey Investors
T. Rowe PriceIndex VenturesRedpoint
2015-10-06IPO
2014-08-11Secondary Market· $60M
2014-04-22Series F· $225M
Recent News
The Motley Fool
2026-01-04
2025-12-30
2025-12-30
Company data provided by crunchbase