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Circeus is seeking an operator with a proven track record in owning P&L for multiple software businesses across Europe. You will lead growth, margin improvement and AI-enabled transformations within a portfolio of embedded SaaS bets.
You will collaborate with founders, M&A and central AI, define budgets, monitor execution and drive value creation. Travel across the portfolio will be required and ownership of outcomes is expected.
Circeus is an AI-native holding that acquires and evolves mission-critical B2B software businesses globally. We have raised $225m from leading global institutional investors and serve 250,000+ businesses across diverse verticals, focusing on high-retention, deeply embedded software. Our model: acquire high-quality SaaS companies and accelerate their growth through a centralised AI platform, driving both revenue expansion and operational efficiency. We operate as long-term owners, continuously improving products through applied AI.
You will run a portfolio of up to seven vertical market software businesses across Europe, owning their performance end to end. These are high-retention, deeply embedded products with real customers and real cash flow, and you will be the person accountable for what they deliver.
The mandate has four parts: improve margin and growth across the portfolio, deploy AI into these businesses alongside our centralised AI team, set the annual budget for each company and hold management to it, and sponsor acquisitions originated by our M&A team, leading the commercial and growth side of diligence.
You will work directly with founders and management teams, our M&A and value creation functions, and the central AI team. You will spend your time in the operating detail rather than in board papers, and you will travel across the portfolio.
We are hiring an agentic MD, not an AI enthusiast. That means redesigning how these businesses operate, compete and create value rather than layering tools on top of existing process: AI embedded in the product, applied to sales and marketing effectiveness, and automating operations at scale, with intelligent systems and human teams carrying the routine decisions together so people spend their time on the hard ones. It also means building a culture of experimentation, accountability and continuous learning, so the businesses keep evolving with the technology rather than stopping at first adoption.
It suits an operator who has carried a profit and loss, enjoys the discipline of a budget cycle, and wants ownership of several businesses rather than one.
Ready to lead, scale, and transform software businesses in the AI era? We'd love to hear from you.