CTO (confidential)

What the role calls for is someone who holds both real technical depth and the discipline to turn strategy into something a team can actually execute, not one at the expense of the other.

As CTO, you’ll join the executive leadership team, reporting to the CEO and working in close, non-negotiable partnership with senior product leadership. You’ll bring structure to a strong engineering organization, without flattening what makes each team effective. You’ll set the direction for turning data into predictive product capabilities, and act as a credible technical voice with customers, the board, and investors.

This is a hands-on role. You lead from close to the work, curious enough to explore new AI tools yourself rather than just directing others to. You’re comfortable running a distributed team, and people who work with you know exactly where they stand.

• Senior technical leadership experience (CTO, VP Engineering, or similar) in B2B SaaS or enterprise software
• Real, hands-on experience shipping AI/ML into production, not just setting direction
• Strong architectural judgment, comfortable owning high-stakes, hard-to-reverse decisions
• Experience leading distributed engineering teams
• Direct, decisive communication: says what they mean, follows through
• Credible, engaging directly with investors and the board
• Commercial curiosity: sees technology as inseparable from the business

Nice to have: modern AI toolkit (RAG, multi-agent workflows), a compliance-sensitive sector background, and experience through multiple funding rounds.

Our client is a venture-backed B2B SaaS company operating in a specialized corner of enterprise operations software. They help large, global organizations bring structure, visibility, and intelligence to a part of the business that has historically been difficult to standardize and digitize. Backed by a well-known European B2B software investor, the company has built strong enterprise traction and is pushing into its next chapter of growth. Most competitors are still talking about AI. This company is trying to actually ship it, building predictive capabilities on top of a rich, multi-year operational dataset.