
Senior Solutions Architect β West Coast
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in California.
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 Liqidβs 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.
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.
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.
Eltropy
Cencora
Cencora
Celigo
Get handpicked remote jobs straight to your inbox weekly.