Chief Technology Officer

1 week ago

Santa Clara CA, United States Ghost Full time

Founder - CTO | $200M+ AUM | Portfolio over $2B in terprise Value | 0 to 1 Join a High-Profile Venture Capital Firm as Their Portfolio-Wide CTO & shape the next generation of AI-driven companies. If you're a founder-minded engineering leader who thrives at zero-to-one and scaling to many, this is one of the most impactful CTO roles you'll find in the market. You'll serve as the senior-most technical leader across a high-profile venture capital firm that incubates and scales category-defining companies. With $200M+ AUM, 32+ investments, and a portfolio generating over $2B in enterprise value, this firm blends venture capital, venture studio, and hands-on company building — and they're looking for a technical leader who can set the bar for everything that comes next. Why You Should You apply? This is a rare opportunity to operate as a CTO across multiple companies while partnering directly with founders and proven operators who've built multi-billion-dollar businesses. You'll influence technology strategy at portfolio scale, architect shared systems, drive AI automation across operating companies, and help launch new ventures from the ground up. It's high-ownership, high-impact, and deeply entrepreneurial. The Role Chief Technology Officer — Portfolio & Incubation You will: Define a unified technology strategy across the incubator. Partner with founders on product, architecture, and early technical hiring. Architect shared systems, data platforms, and internal tools used across operating companies. Drive development of AI agents, automation workflows, and vertical AI tools. Build and lead a cross-functional team across engineering, AI/ML, data, and product. What They're Looking For Must have graduated from a top 30 US instituition 7+ years as CTO, VP Engineering, Founding Engineer, or similar at a high-growth tech company (VC backed) Has taken a startup from 0 to Series B Proven track record shipping real products and building AI-powered systems Experience in venture studios, incubators, or early-stage startup environments Strong foundation in software architecture, distributed systems, and data platforms Hands-on experience with AI/ML, LLM ecosystems, and agentic/automation workflows Deep networks in top-tier engineering and AI/ML talent pools Strong leadership ability — able to recruit, scale, and mentor elite technical teams If you want to architect systems used across an entire portfolio, influence multiple company trajectories, and build alongside elite founders and operators. This is the role

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