Chief Technology Officer

A hands-on leadership role owning technical strategy, architecture, engineering execution, and hiring across product engineering, infrastructure, and applied AI.

This is a builder’s role first and a manager’s role second. You’ll set the technical direction, shape the architecture, grow the engineering team, and stay hands-on enough to catch problems before they become expensive.

Expect to move between big-picture decisions and the occasional deep dive into the codebase, and to work closely with founders, customers, and the research side of the business. It’s not a job for someone who wants to run engineering from a distance, you need to genuinely understand what’s being built and why.

Core Responsibilities

• Shape the platform’s architecture and turn early-stage prototypes into dependable, production-ready systems
• Grow and lead the engineering function, covering everything from core infrastructure to applied research integration
• Set the standards the team works to - quality, testing, security, uptime
• Decide what to build versus what to buy, and turn customer and research input into a coherent roadmap
• Take ownership of data handling, security, and the operational maturity needed to serve larger customers
• Act as the technical face of the company for customers, partners, and investors

• A track record of building and scaling real-world software systems, not just prototypes
• Broad technical range - backend engineering, cloud infrastructure, data systems, and modern AI/ML
• Experience running engineering teams somewhere early-stage and fast-moving
• Sound judgement on tradeoffs - architecture, technical debt, hiring, sequencing
• The ability to bridge research thinking and production discipline without mixing the two up
• Someone with genuine ownership, minimal ego, and solid follow-through

Bonus Points

• Exposure to intelligent systems, automation, or data-heavy technical products
• Experience serving enterprise or highly regulated customers
• Background untangling messy, large-scale, or multimodal data pipelines
• Having actually taken something from first customer to repeatable, scalable delivery