Consulting Pre-Sales Systems Engineer, Strategics - NYC

Pure Storage•Newark, NY

10d•Remote

About The Position

Everpure is hiring a Consulting Pre-Sales Systems Engineer to serve as the senior technical lead for a portfolio of the world’s largest and most strategic financial institutions, including global banks, asset managers, and payment networks. The role owns technical strategy for each account, builds trust with architects, platform owners, and technology executives, and coordinates product specialists, professional services, and partners to support multi-year, multi-million-dollar platform decisions. The position helps financial institutions address AI infrastructure using data that cannot be moved, modernize data platforms while managing operational risk, and meet resilience and regulatory expectations at lower cost. The CSE works with senior account teams and has visibility with Everpure leadership across sales, product, and engineering. The role requires technical leadership across architecture discussions, competitive evaluations, and detailed RFI responses.

Requirements

At least 10 years of experience in enterprise infrastructure, including at least 5 years 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, including their behavior under production load.
Working fluency across virtualization, Kubernetes and container platforms—particularly OpenShift—and storage networking including Ethernet, NVMe over TCP, RDMA, and Fibre Channel.
Experience with at least one major public cloud.
Strong executive communication skills.
A track record of winning technical evaluations against established storage and infrastructure vendors and building customer-scrutinized displacement cases.

Nice To Haves

Familiarity with analytics and lakehouse platforms, data governance, data discovery, and how data placement affects cost, compliance, and AI readiness.
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 storage patterns for training, inference, and retrieval.
Relevant certifications in Kubernetes, Red Hat, cloud, NVIDIA, or major storage platforms.
Prior experience with Everpure FlashArray, FlashBlade, or Portworx, from the vendor or customer side.

Responsibilities

Build and maintain technical account plans covering customer architecture, constraints, roadmap, current Everpure deployments, whitespace, and future sales plays.
Serve as the primary technical counterpart for infrastructure architects, storage and platform engineering leaders, and technology executives.
Lead technical pursuits from discovery through customer decisions, including solution design, sizing, RFI and RFP responses, proofs of concept, lab evaluations, and competitive bake-offs.
Help customers design container, storage, and data layers for AI at scale, including GPU cluster storage, inference and cache offload, retrieval and analytics pipelines, and governed data in place.
Lead customer motions involving Kubernetes and OpenShift data services, virtualization transitions, NVMe over TCP and Ethernet block, object storage, and cyber resilience.
Coordinate product specialists, professional services, and partner engineers; align them to a shared plan and manage technical workstreams against owners, dates, and clear completion criteria.
Partner with the GAM on account planning, forecast, and pipeline hygiene.
Represent financial institution customer requirements to product management and provide specific, evidence-based input to help shape roadmap priorities.