Senior Solutions Architect – West Coast

atLiqidRemoteUS flagCaliforniaFull-timeSolutions EngineerSenior$155k – $175k/year

Posted 2 days ago

This is a fully remote position, open to applicants in California.

πŸ“‹ Description

β€’ Manage the technical relationship for accounts within the territory from initial discovery through technical closure to deployment.

β€’ Collaborate with account executives on technical discovery, solution design, PoC scoping, RFP/RFI responses, and executive technical engagement.

β€’ Perform technical discovery to assess GPU utilization targets, workload mix, fabric constraints, and decision economics.

β€’ Take responsibility for technical win rates and PoC conversion.

β€’ Execute PoCs on-site with Liqid hardware at customer or partner locations as well as through Liqid’s remote lab.

β€’ Oversee PoC installation, configuration, testing, success criteria, and decision-making processes.

β€’ Create and present Liqid Matrix demonstrations for AI training, large-scale inference, HPC, and virtualization/VDI.

β€’ Contribute to reference architectures, sizing tools, TCO models, and PoC playbooks.

β€’ Maintain a comprehensive understanding of demo and lab environments and provide feedback from the field.

β€’ Qualify opportunities, shape technical deal strategies, and identify unsuitable opportunities.

β€’ Understand accounts, the competitive landscape, and the pipeline across the territory.

β€’ Engage with audiences, ranging from principal engineers and chief architects to CIOs and CFOs.

β€’ Deliver structured customer feedback to Product and Engineering teams.

β€’ Collaborate with support, marketing, and OEM partners to educate, optimize, and develop capabilities.

β€’ Identify roadmap gaps and integration priorities, such as SLURM, Kubernetes, virtualization/VDI, and northbound integrations.

β€’ Link field PoCs with engineering for early-access and design-partner initiatives.

β€’ Ensure a seamless technical handoff from pre-sales to deployment, customer success, and support.

β€’ Remain engaged with strategic deployments to mitigate technical churn and identify opportunities for expansion.


⛳️ Requirements

β€’ A minimum of 5 years in technical pre-sales, solutions architecture, or field engineering within a B2B infrastructure, systems, or AI infrastructure organization.

β€’ Proven track record of personally managing technical tasks on competitive deals, including discovery, architecture, PoC, and technical closure.

β€’ Experience collaborating with or through tier-one OEMs such as Dell, HPE, Cisco, Supermicro, Lenovo, or similar is highly advantageous.

β€’ Up-to-date knowledge of AI/ML infrastructure, including GPU systems, memory hierarchy, and cluster-scale architecture for training and inference.

β€’ Proficient understanding of server platforms, fabric, and networking technologies including CXL, PCIe Gen5/6, NVLink, InfiniBand, RoCE/Ethernet, and storage solutions.

β€’ Practical experience with virtualization and VDI technologies, including VMware and similar platforms.

β€’ Familiarity with orchestration and scheduling tools such as Kubernetes and SLURM.

β€’ Comprehension of infrastructure GPU utilization economics, cost-per-token, and TCO.

β€’ A consultative approach with the capability to identify underlying customer challenges.

β€’ Ability to partner effectively with sales teams and take ownership of territory outcomes.

β€’ Commitment to staying informed about the AI infrastructure landscape.

β€’ Skill in clearly articulating composable architecture concepts to engineers, CIOs, and CFOs.


🏝️ Benefits

β€’ Unlimited commission structure.

β€’ Comprehensive Medical/Dental/Vision/Life/Disability benefits package.

β€’ 401K retirement plan.

β€’ Unlimited Paid Time Off (PTO).

β€’ Paid Company Holidays.

β€’ Cell phone stipend.

β€’ Flexible and casual work environment.

β€’ Commitment to equal employment opportunities and protection against discrimination and harassment.

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