Solutions Architect - AI Infrastructure

Prime Intellect • San Francisco, CA

1d

About The Position

Prime Intellect builds the infrastructure that frontier AI labs build internally, and makes it available to everyone. Our platform, Lab, unifies environments, evaluations, sandboxes, and high-performance training into a single full-stack system for post-training at frontier scale, from RL and SFT to tool use, agent workflows, and deployment. We validate everything by using it ourselves, training open state-of-the-art models on the same stack we put in your hands. We’re looking for people who want to build at the intersection of frontier research and real infrastructure.
We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy, Tri Dao, Dylan Patel, Clem Delangue, Emad Mostaque, and others.
Role Impact
This role sits at the intersection of customer success, technical operations, and AI infrastructure delivery. You will work directly with customers to help them onboard, deploy, and scale on Prime Intellect infrastructure, while also building the internal systems, workflows, and automation that make that experience scalable over time.
Beyond supporting individual accounts, this person will help define how Prime Intellect serves sophisticated technical customers: turning high-touch support and deployment work into repeatable processes, better tooling, and durable operational leverage.

Requirements

• 2–5 years of experience in customer success, technical account management, operations, or a similar cross-functional role
• Strong interest in AI, GPU infrastructure, cloud systems, or technical products serving sophisticated customers
• Comfortable working directly with customers and internal technical teams
• Highly organized, detail-oriented, and able to manage multiple workstreams at once
• Strong written and verbal communication skills
• High ownership and willingness to operate flexibly when customer needs require urgency
• Energized by building processes from the ground up in a fast-moving environment

Nice To Haves

• Experience with infrastructure, cloud, DevOps, or enterprise technical products
• Familiarity with SLAs, support operations, billing, procurement, or contract administration
• Exposure to AI/ML infrastructure, model training environments, or GPU-based products
• Experience in startups or high-growth environments

Responsibilities

• Serve as a primary point of contact for customers running AI workloads on our infrastructure
• Own customer onboarding and deployment coordination from post-sale through production readiness
• Build trusted relationships with customer teams and proactively manage issues, risks, and escalations
• Partner with engineering and operations to ensure customer needs are translated clearly into internal action
• Build and improve the internal systems that support customer onboarding, deployment tracking, escalation management, and account health
• Identify repetitive manual workflows and turn them into streamlined processes, tooling, or automation
• Help define the operating cadence, support infrastructure, and service model for managing technical customer accounts at scale
• Create structure where none exists today, improving both customer experience and internal efficiency as the business grows
• Track billing, contract milestones, renewals, and other key account workflows
• Maintain visibility into deployment timelines, infrastructure commitments, and customer-specific requirements
• Coordinate across customers, finance, engineering, and leadership to keep accounts running smoothly end-to-end

Benefits

• Competitive Cash compensation + equity incentives
• Flexible work environment
• Visa sponsorship and relocation support
• Professional development budget
• Team off-sites and conference attendance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed