Solutions Engineer

Solutions Engineer

AI Infrastructure

$300k OTE \+ equity

US West Coast remote

We are running a search for a fast-growing AI infrastructure company to hire a Presales Engineer covering North America. The company has built a new category of AI infrastructure, dedicated, single-tenant, in-country cloud environments for enterprises that cannot run production AI workloads on shared public cloud. They closed $100M\+ in customer contracts in their first five months of operations and recently raised a $30M investment. The pipeline is growing faster than the team.

What you'll be responsible for

• Supporting the sales process across North America, from discovery and scoping through to proposal and close
• Leading technical conversations with enterprise buyers in regulated industries at both the engineering and C-suite levels
• Mapping customer AI workloads to dedicated, single-tenant GPU infrastructure and articulating the difference versus shared public cloud
• Building proofs-of-concept and technical proposals that win
• Helping customers understand data residency, compliance, and governance requirements and how the platform addresses them
• Working closely with internal engineering and operations teams to ensure that what is sold can be delivered

What we're looking for

• 5\+ years in a presales or solutions engineering role within AI infrastructure, cloud, or GPU compute
• Technical fluency across GPU architectures, workload mapping, and compute optimisation
• Experience selling into regulated enterprises where security, data residency, and compliance matter
• Comfortable in an early-stage, fast-moving environment where the role evolves with the business
• Background at a hyperscaler, AI infrastructure vendor, or high-growth startup preferred
• Based on the West Coast

Why this role

• $100M\+ in contracts before the seed round closed; the market has already validated this
• You'll work on deals that are infrastructure-scale, strategic, and complex
• Equity in a company that has proven it can close before it raised to scale
• You'll work directly with senior leadership, not through layers
• Single-tenant, in-country infrastructure is where enterprise AI is going; you'll be ahead of it

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