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