Consulting Pre-Sales Systems Engineer, Strategics - NYC

Everpure•Newark, NJ

11d•$171,500 - $257,600•Remote

About The Position

Everpure is hiring a senior technical lead for a portfolio of major financial institutions, including global banks, asset managers, and payment networks. The role owns technical strategy for each account, builds relationships with architects, platform owners, and technology executives, and coordinates product specialists, professional services, and partners to support significant platform decisions. The position helps customers address AI infrastructure, data platform modernization, resilience, regulatory expectations, and cost challenges. It works closely with senior account teams and has visibility with Everpure leadership across sales, product, and engineering. The successful candidate will guide customers through technical decisions, from architecture discussions and solution design to competitive evaluations and detailed RFI responses. This role covers data and storage architectures for AI, Kubernetes and OpenShift data services, virtualization transitions, storage networking, object storage, and cyber resilience. It also represents customer requirements to product management and contributes specific, evidence-based input to roadmap priorities.

Requirements

Ten or more years of experience in enterprise infrastructure, including at least five 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), storage networking (Ethernet, NVMe over TCP, RDMA, and 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 building displacement cases that withstand customer scrutiny.

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, roadmaps, current Everpure deployments, whitespace, and future technical plays.
Serve as the technical counterpart for infrastructure architects, storage and platform engineering leaders, and technology executives.
Lead technical pursuits from discovery through decision, 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.
Run technical motions involving Kubernetes and OpenShift data services, virtualization transitions, NVMe over TCP and Ethernet block, object storage, and cyber resilience.
Coordinate 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, forecasting, and pipeline hygiene.
Represent financial-institution requirements to product management and help shape roadmap priorities with specific, evidence-based input.