Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE:
Everpure is hiring a Consulting Pre-Sales Systems Engineer to be the senior technical lead on a portfolio of the world’s largest and most strategic financial institutions: global banks, asset managers and payment networks. The CSE owns the technical strategy for each account, earns the trust of architects, platform owners and technology executives, and orchestrates product specialists, professional services and partners to win multi-year, multi-million dollar platform decisions. This seat sits at the center of the decisions the largest financial institutions are making right now: how to build AI infrastructure on data they cannot move, how to modernize data platforms without adding operational risk, and how to meet rising resilience and regulatory expectations at lower cost. The CSE shapes those decisions directly, works with senior account teams, and has visibility with Everpure leadership across sales, product and engineering.
The right person is as comfortable whiteboarding data architecture with a bank’s chief architect as they are leading a competitive bake-off or answering a 200-line RFI with precision.
WHAT YOU'LL DO
- Build and maintain the technical account plan: the customer’s architecture, their constraints and roadmap, where Everpure is deployed today, where the whitespace is, and which plays we run next.
- Become the go-to technical counterpart for infrastructure architects, storage and platform engineering leaders, and technology executives.
- Lead the technical side of complex pursuits from discovery through decision, including solution design, sizing, RFI and RFP responses, proofs of concept, lab evaluations and head-to-head competitive bake-offs.
- Help customers design the container, storage and data layer for AI at scale: GPU cluster storage, inference and cache offload, retrieval and analytics pipelines, and governed data in place.
- Run motions around Kubernetes and OpenShift data services, virtualization transitions, NVMe over TCP and Ethernet block, object storage, and cyber resilience.
- Pull in the right specialists, professional services and partner engineers at the right moment, keep them aligned on one plan, and hold the technical workstreams to owners, dates and a clear definition of done.
- Partner with the GAM on account planning, forecast and pipeline hygiene.
- Represent the requirements of the most demanding financial institutions back to product management, and help shape roadmap priorities with specific, evidence-based input.
WHAT YOU BRING
- Ten or more years in enterprise infrastructure, with at least five in a customer-facing presales, solutions architecture or field engineering role.
- Direct experience covering large financial services institutions is strongly expected.
- Hands-on command of enterprise block, file and object storage, data protection and replication, and how they behave under real production load.
- Working fluency across virtualization, Kubernetes and container platforms (OpenShift in particular), networking for storage (Ethernet, NVMe over TCP, RDMA, Fibre Channel), and at least one major public cloud.
- Strong Executive communication skills
- A track record of winning technical evaluations against established storage and infrastructure vendors, and of building displacement cases that survive customer scrutiny.
- Familiarity with analytics and lakehouse platforms, data governance and data discovery, and how data placement decisions affect cost, compliance and AI readiness strongly preferred
- Exposure to GPU infrastructure and AI workloads, such as NVIDIA DGX and SuperPOD reference architectures, GPUDirect Storage, inference serving frameworks (vLLM, NVIDIA Dynamo, llm-d) and the storage patterns behind training, inference and retrieval is a plus
- Relevant certifications a plus (Kubernetes, Red Hat, cloud, NVIDIA or major storage platforms) preferred
- Prior experience with Everpure FlashArray, FlashBlade or Portworx, from either the vendor or customer side, is a plus but not required.
#LI-REMOTE
#LI-JL4
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at [email protected] if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Skills Required
- Ten or more years of experience in enterprise infrastructure
- At least five years in customer-facing presales, solutions architecture, or field engineering
- Direct experience covering large financial services institutions
- Hands-on expertise with enterprise block, file, and object storage, data protection, and replication
- Working knowledge of virtualization, Kubernetes, container platforms, and OpenShift
- Working knowledge of storage networking, including Ethernet, NVMe over TCP, RDMA, and Fibre Channel
- Experience with at least one major public cloud
- Strong executive communication skills
- Track record of winning technical evaluations against storage and infrastructure vendors
- Experience building customer displacement cases
- Familiarity with analytics and lakehouse platforms, data governance, and data discovery
- Exposure to GPU infrastructure and AI workloads, including NVIDIA DGX, SuperPOD, GPUDirect Storage, vLLM, NVIDIA Dynamo, or llm-d
- Relevant Kubernetes, Red Hat, cloud, NVIDIA, or major storage platform certifications
- Prior experience with Everpure FlashArray, FlashBlade, or Portworx
Everpure Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Everpure and has not been reviewed or approved by Everpure.
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Equity Value & Accessibility — Equity and stock purchase programs are described as meaningful parts of total compensation, with RSUs and an ESPP highlighted as strengths.
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Strong & Reliable Incentives — Sales compensation is structured to support long sales cycles, including policies that pay full commission until the first sale for new or white‑space accounts.
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Healthcare Strength — Health coverage is portrayed as comprehensive, with multiple medical options, fully covered vision, dental PPO choices, mental‑health resources, and company HSA contributions.
Everpure Insights
What We Do
Pure Storage (NYSE:PSTG) helps innovators build a better world with data. Pure's data solutions enable SaaS companies, cloud service providers, and enterprise and public sector customers to deliver real-time, secure data to power their mission-critical production, DevOps, and modern analytics environments in a multi-cloud environment. One of the fastest growing enterprise IT companies in history, Pure Storage enables customers to quickly adopt next-generation technologies, including artificial intelligence and machine learning, to help maximize the value of their data for competitive advantage. And with a Satmetrix-certified NPS customer satisfaction score in the top one percent of B2B companies, Pure's ever-expanding list of customers are among the happiest in the world.
