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 an Equal Opportunity Employer and do not discriminate on the basis of any protected status under applicable law.