Solutions Architect (AI Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Solutions Architect (AI Infrastructure): Work directly with customers to onboard, deploy, and scale AI workloads on high-performance infrastructure with an accent on customer success, technical operations, and building scalable internal systems. Focus on turning high-touch support into repeatable processes, automation, and operational leverage for sophisticated AI labs.
Location: San Francisco with visa sponsorship and relocation support
Company
builds full-stack AI infrastructure platform Lab for post-training at frontier scale, used internally to train open state-of-the-art models.
What you will do
- Serve as primary point of contact for customers running AI workloads, owning onboarding and deployment from post-sale to production.
- Build trusted relationships, manage issues, risks, escalations, and translate customer needs to engineering and operations.
- Build and improve internal systems for onboarding, deployment tracking, escalation, and account health.
- Automate repetitive workflows and define operating cadence for managing technical accounts at scale.
- Track billing, contracts, renewals, timelines, and coordinate across customers, finance, engineering, and leadership.
Requirements
- 2–5 years in customer success, technical account management, operations, or similar cross-functional role
- Strong interest in AI, GPU infrastructure, cloud systems, or technical products for sophisticated customers
- Comfortable working with customers and internal technical teams
- Highly organized, detail-oriented, manage multiple workstreams
- Strong written and verbal communication skills
- High ownership, flexibility for urgent customer needs
- Energized by building processes in fast-moving environment
Nice to have
- Experience with infrastructure, cloud, DevOps, or enterprise technical products
- Familiarity with SLAs, support operations, billing, procurement, contract administration
- Exposure to AI/ML infrastructure, model training, GPU-based products
- Experience in startups or high-growth environments
Culture & Benefits
- Competitive cash compensation + equity incentives
- Flexible work environment
- Visa sponsorship and relocation support
- Professional development budget
- Team off-sites and conference attendance
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