Solutions Architect

Highlights

• Own technical strategy for large enterprise accounts adopting AI infrastructure.
• Lead executive conversations linking infrastructure architecture to business impact.
• Influence product roadmap by surfacing structured enterprise feedback.

What they offer

• Equity

Ideal candidate

Strategic, executive-presence solutions architect who thrives in high-velocity enterprise sales and loves shaping AI infrastructure strategy alongside CTOs and ML leaders.

Requirements

• 5+ years in Solutions Engineering, Sales Engineering, or enterprise-facing technical roles in infrastructure, cloud, or developer platforms
• Demonstrated success driving complex enterprise sales cycles ($250K+ ACV; experience with $1M+ ARR accounts strongly preferred)
• Experience working with large, sophisticated Bay Area technology companies or global enterprises
• Deep expertise in cloud infrastructure (AWS, GCP, Azure) including compute, networking, storage, and managed services
• Strong architectural understanding of containers and orchestration (Docker, Kubernetes)
• Experience designing distributed systems and production data platforms
• Strong working knowledge of ML/AI infrastructure (training pipelines, inference systems, GPU workloads, MLOps)
• Experience leading cloud migration or infrastructure modernization initiatives
• Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD systems
• Production programming experience in Python strongly preferred
• Executive-level communication skills with the ability to influence technical and business stakeholders
• Proven ability to lead cross-functional virtual teams in high-stakes account environments
• Strong business acumen and understanding of enterprise procurement and buying processes
• Willingness to travel up to 30%