Company
Technology
SolutionsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Engineer. Skills: AI infrastructure, ML infrastructure, Solution architecture. Own customer POCs. Scope POC success metrics”
What You'll Achieve.
Map technical requirements to business outcomes
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
BS in CS, EE, or related, 5+ years customer-facing technical role, Proficiency in Rust, Go, or Python, Understanding of AI/ML infrastructure, Experience with Kubernetes, Docker, and Slurm, Understanding of training, fine-tuning, and inference, Ability to run technical evaluations, Excellent communication skills
Nice to Have
Solutions architect experience, Forward deployed engineer experience, Product management experience
What You'll Do.
Scope POC success metrics
Define POC architecture
Manage POC production handoff
Deliver technical demonstrations
Map technical requirements
Build deep relationships
Build reference architectures
Translate customer needs
How You'll Work.
Team & Collaboration
Partner with Sales; Partner with product; Partner with engineering
Communication Scope
Technical demonstrations; Explain infrastructure; Explain model behavior
Full Job Description
About the role Own the technical strategy, execution, and delivery of customer engagements from pre-sales discovery through deployment. You'll partner with Sales to architect AI infrastructure solutions for Frontier labs, startups, and enterprise ML teams, translating customer requirements into production workloads. What you'll do - Own customer POCs: scope, success metrics, architecture, timeline, and production handoff - Deliver technical demonstrations tailored for engineering leaders and executive audiences - Architect solutions across training, fine-tuning, and inference - Map technical requirements to business outcomes - Build deep relationships with customer stakeholders - Build reusable demos, reference architectures, and playbooks - Partner with product and engineering to translate customer needs into roadmap priorities What you'll need - BS in CS, EE, or related field, or equivalent experience - 5+ years in a customer-facing technical role: solutions architect, forward deployed engineer, or product management - Proficiency in one or more programming languages: Rust, Go, or Python - Strong understanding of AI/ML infrastructure: GPUs, distributed training, inference serving - Experience with Kubernetes, Docker, and Slurm - Strong understanding of training, fine-tuning, and inference - Proven ability to run technical evaluations and influence outcomes in complex sales cycles - Excellent communication skills: can explain infrastructure and model behavior clearly to both technical and executive audiences - High ownership and comfort with ambiguity, with strong prioritization across multiple deals and customer threads What we offer - Top-tier compensation structured to recognize and retain the best talent - Meaningful equity - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all new parents, including adoptive and surrogate journeys - Flexible PTO - Paid Holidays - Relocation support Equal Employment Opportunity We're
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