Hands-On AI Infrastructure CTO | Scale Distributed Systems

Space Executive; New York (NY); On-site; USD 250,000 - 450,000; Full time

Benefits offered by this job

Significant equity

Job summary

Space Executive is seeking an AI infrastructure-focused CTO/engineering leader to own the technical roadmap, hire the first engineering and applied AI teams, and lead end-to-end architecture for high-throughput workloads. You will balance rapid iteration with robust, scalable systems and serve as a hands-on leader.

You will collaborate with founders to align technology with business milestones, communicate complex engineering concepts to investors, and guide security and data privacy as the

Qualifications

• Strong background in building and scaling distributed systems for AI workloads.
• Proven leadership of early-stage engineering teams from founders to first hires.
• Deep expertise in cloud platforms (AWS/GCP) and modern AI infrastructure.
• Experience translating complex technical architecture into business value for investors and customers.

Responsibilities

• Define the technical roadmap balancing speed and reliability for high-throughput AI workloads.
• Hire and coach the initial engineering, infra, and applied AI teams with founders.
• Hands-on code review and architecture of data pipelines and model serving foundations.
• Bridge deep-tech concepts with commercial strategy for stakeholders and clients.
• Establish data privacy and scalable security practices for regulated sectors.

Skills

Distributed systems

Executive leadership

Cloud platforms (AWS/GCP)

AI infrastructure

Tools

AWS

GCP

LLM orchestration

Vector databases

Job description

Space Executive is seeking an AI infrastructure-focused CTO/engineering leader to own the technical roadmap, hire the first engineering and applied AI teams, and lead end-to-end architecture for high-throughput workloads. You will balance rapid iteration with robust, scalable systems and serve as a hands-on leader.

You will collaborate with founders to align technology with business milestones, communicate complex engineering concepts to investors, and guide security and data privacy as the