Why join us?
💡Our client is an incubator that builds generation-defining companies from idea to scale. They combine capital with deep operating experience and hands-on technology to create transformative businesses.
🚀 Hypergrowth Opportunity: You'll work with proven operators who've created billions in enterprise value alongside top-tier investors. This is your chance to shape technology strategy across multiple companies and build the next generation of tech-enabled platforms.
🎯 Lead as CTO across both incubation and private equity arms with direct access to founders and operators. You'll architect shared systems and drive AI automation across the entire portfolio while building your own engineering organization.
💰Base Salary: $250k-$450k plus equity!
🔍 Overview
We're looking for a CTO with 7+ years of experience to serve as the senior-most technical leader across our incubator. This role is for a founder-CTO type who has built and scaled products from zero to one and from one to many. We are looking for someone equally comfortable in the boardroom and hands-on keyboard, who will own the technology strategy for the platform, build and lead internal teams, and work directly with founders and operators across our portfolio.
🧩 What You'll Be Doing:
- Set a unified technology strategy across thr incubator
- Partner with founders in incubation and early-stage ventures on product, architecture, and early technical hiring.
- Architect shared systems, data infrastructure, and internal tools used across our operating companies.
- Drive the development of AI agents, automation workflows, and vertical AI tools for real businesses.
- Build and lead a cross-functional team spanning software engineering, AI/ML, data, and product.
👤 What We're Looking For:
- 7+ years of experience as CTO, VP of Engineering, or Founding Engineer at a high- growth technology company
- Track record of shipping real products and driving the development of AI agents, automation workflows, and vertical AI tools
- Successful founder or senior technical leader with successful scale/exit.
- Experience in incubators or venture studios
- CS (or similar) Bachelors from a top 30 US undergraduate program
- Deep expertise in software architecture, distributed systems, and/or data platforms.
- Meaningful experience with AI/ML and modern LLM ecosystems.
- Networks in top- tier engineering and AI/ML talent pools.
- Proven ability to build and lead high- performing engineering and data teams.
