Chief Technology Officer

We’re seeking startup engineers ready to step into a CTO role at an early‑stage company, as well as hands‑on technical leaders who are passionate about joining a startup and building from the ground up. This is a builder‑first opportunity for someone who wants real ownership over technical vision, architecture, and execution.

We are partnering with an early‑stage, venture‑backed startup building AI‑native infrastructure to solve complex, real‑world operational challenges. The company is post‑seed, backed by strong investors, and entering a critical growth phase as they scale product, customers, and engineering. This is an opportunity to join at an inflection point — shaping architecture, building the engineering culture, and driving technical strategy from the ground up.

We’re seeking a hands‑on Chief Technology Officer who thrives in early environments and wants to actively build — not just manage. This is not a “manager of managers” role. The ideal candidate is deeply technical, product‑minded, and excited to architect systems, write code, recruit engineers, and scale infrastructure. You’ll partner directly with the founding team to define technical vision, lead product architecture, and build a high‑performance engineering organization.

• Proven experience as a technical founder, founding engineer, senior technical leader in an early‑stage startup, OR hands‑on technical leader.
• Strong hands‑on coding ability (Python strongly preferred; experience with AI/ML systems highly valued)
• Experience designing and scaling distributed systems or AI‑driven platforms
• Background building production infrastructure (cloud‑native, Kubernetes, scalable APIs, data pipelines)
• High agency, ownership mentality, and bias toward execution
• Ability to operate in ambiguity and move quickly
• Nice to Have Experience with LLMs, voice AI, or agentic systems
• Background in real‑time systems or high‑availability infrastructure
• Experience scaling from Seed to Series A/B

• Founder‑level impact and influence
• Meaningful equity at an early stage
• Opportunity to define technical culture from day one
• Work on AI systems solving real operational problems