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Liqid

Dynamic resource pooling for high-performance servers

Senior Solutions Architect/Sales Engineer AI Infrastructure

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience in technical pre-sales, solutions architecture, or field engineering at a B2B infrastructure, systems, or AI infrastructure company.
  • A track record of personally owning technical work on competitive deals, including discovery, architecture, proof-of-concept work, and technical close.
  • Solid, current knowledge of AI and machine-learning infrastructure, including GPU systems, memory hierarchy, and cluster-scale architecture for training and inference.
  • Working command of modern data center technology, including server platforms, fabric and networking such as CXL, PCIe Gen5/6, NVLink, InfiniBand, and RoCE/Ethernet, as well as storage.
  • Hands-on familiarity with virtualization and virtual desktop infrastructure, including VMware and equivalents, and orchestration and scheduling tools such as Kubernetes and SLURM.
  • Understanding of infrastructure economics, including GPU utilization, cost per token, and total cost of ownership.
  • Ability to explain composable architecture to technical and executive audiences.

Responsibilities

  • Own the technical relationship for accounts across the territory from initial discovery through technical close and deployment.
  • Partner with the account executive on meaningful opportunities, including technical discovery, solution design, proof-of-concept scoping, RFP/RFI responses, and executive technical engagement.
  • Conduct technical discovery to identify GPU utilization targets, workload mix, fabric constraints, and the economics underlying customer decisions.
  • Be accountable for technical win rate and proof-of-concept conversion in the territory, and maintain visibility into deal outcomes and blockers.
  • Deliver proofs of concept physically with Liqid hardware at customer or partner venues or through a Liqid-hosted remote lab; own installation, configuration, and testing.
  • Scope, run, and win proofs of concept against explicit customer-agreed success criteria and drive them to a decision.
  • Build and deliver Liqid Matrix demonstrations tailored to AI training, large-scale inference, high-performance computing, and virtualization or virtual desktop infrastructure workloads.
  • Contribute to and reuse the team's reference architectures, sizing tools, total-cost-of-ownership models, and proof-of-concept playbooks.
  • Maintain working knowledge of the demonstration and lab environment and provide feedback on field needs.
  • Partner with sales to qualify opportunities, shape deal technical strategy, and identify poor-fit opportunities.
  • Own territory planning by understanding accounts, competitive landscape, and pipeline, and act proactively.
  • Engage customer stakeholders from principal engineers and chief architects to CIOs, CFOs, and buying committees, adapting the message to the audience.
  • Provide Product and Engineering with prioritized, evidence-backed customer feedback from the field.
  • Work with support, marketing, and original equipment manufacturer partners to educate, optimize, and develop capabilities.
  • Identify roadmap gaps and integration priorities, including SLURM, Kubernetes, virtualization/VDI, and northbound integrations, with actionable customer context.
  • Close the loop between field proofs of concept and Engineering on early-access and design-partner work.
  • Ensure a clean technical hand-off from pre-sales to deployment, customer success, and support so delivered work matches what was sold.
  • Stay engaged on strategic deployments to mitigate technical churn and identify expansion opportunities.

Desired Qualifications

  • Experience working alongside or through tier-one original equipment manufacturers such as Dell, HPE, Cisco, Supermicro, Lenovo, or equivalent providers.

About the Company

Liqid

Dynamic resource pooling for high-performance servers

Liqid provides a composable infrastructure platform that turns fixed IT hardware into flexible, on-demand compute environments. It uses Liqid Matrix software to pool resources like CPU, GPU, FPGA, NVMe and NICs so customers can deploy, scale, and reconfigure customized servers in real time. The approach enables high-performance computing workloads—especially AI and ML—to run on tailored hardware without manual rebuilding, improving resource utilization and speeding results. Liqid differentiates itself by offering fine-grained, software-driven disaggregation and dynamic reconfiguration across multiple resource types, supported by hardware components such as the Liqid LQD4500 IO Accelerator. The company's goal is to help data centers maximize ROI and reduce costs by optimizing IT infrastructure for demanding workloads while adapting quickly to changing needs.

Company size
51-200
Company stage
Late Stage VC
Total funding
$185.3M
Headquarters
Westminster, CA
Founded
2013

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