Chief Technology Officer

• Experience building products from 0*1 at an early-stage startup.
• Proven success leading engineering teams through periods of rapid growth.
• Exceptional software engineering and systems design fundamentals.
• Deep expertise in distributed systems and cloud infrastructure.
• Experience building highly scalable backend platforms.
• Familiarity with AI/ML infrastructure and deploying production AI systems.
• Strong product instincts with the ability to balance speed and long-term architecture.
• Comfortable operating with ambiguity and making high-conviction decisions.
• Natural recruiter capable of attracting exceptional engineering talent.
• Builder mentality with a desire to create something enduring., * Simulation, robotics, autonomy, or physical AI experience.
• Experience building platforms that combine AI with real-world operational data.
• Experience working in industrial, logistics, manufacturing, infrastructure, or similarly complex environments. Previous founder or founding engineering experience., * You want to build one of the defining AI companies of the next decade.
• You love solving technically difficult problems with real-world impact.
• You prefer ownership over process.
• You enjoy building elite teams as much as building software.
• You’re comfortable making decisions with imperfect information.
• You want your fingerprints on every part of the company.

• Lead product architecture across backend infrastructure, AI systems, developer tooling, and cloud infrastructure.
• Work directly with customers to understand real-world operational challenges and rapidly translate them into product.
• Build engineering processes without slowing down execution.
• Recruit, mentor, and retain an elite engineering team from the ground up.
• Foster a culture of high ownership, speed, and technical excellence.
• Remain deeply hands-on, contributing code and technical leadership every day., * Build the engineering organization exactly the way you believe it should be built.
• Solve problems that combine AI, distributed systems, and complex real-world environments.
• Help define the future of how AI is applied outside the confines of traditional software.

Our client is building an AI platform that helps organizations model, simulate, and optimize complex real-world systems before decisions are made.

Their technology combines large-scale simulation, AI, and modern software infrastructure to solve problems where mistakes are expensive and the physical world is difficult to predict. Initial customers operate in industries with highly complex operations, but the long-term vision extends far beyond a single market.