How to Actually Get Hired

William's career before Zalos follows a precise path into the exact problem the company is solving. He started at McKinsey, which gave him the analytical framework for how large organisations evaluate technology risk and transformation cost. He then joined Agicap as UK General Manager. Agicap is one of the largest Office of the CFO software platforms in Europe, used by thousands of mid-market companies to manage cash flow and financial operations, and in that role William spoke directly with hundreds of CFOs about their biggest operational frustrations. The answer he kept hearing was not "we need a new ERP." It was "our current ERP is impossible to get value from without a team of people manually stitching it together." That conversation is the founding insight for Zalos verbatim. He moved from observing the problem at Agicap to building the solution at Zalos after YC F25. He writes actively on LinkedIn about enterprise finance automation and the computer agent opportunity, and his posts are worth reading before any outreach because they tell you exactly how he frames the market. He is based in London, which is where the enterprise finance customer conversations are concentrated. LinkedIn: search "William Fairbairn Zalos."

Hung is one of the more technically credentialed CTOs in the London enterprise AI scene, with a background that maps almost perfectly onto the problem Zalos is solving. He spent five years at Apple building Apple Pay services, which at peak scale served hundreds of millions of daily active users across dozens of countries, each transaction requiring sub-second reliability, cryptographic security, and compliance with financial regulations across multiple jurisdictions. That experience gave him an unusually practical understanding of what it means to build financial infrastructure that cannot fail. He also contributed to other AI initiatives at Apple before leaving to co-found Zalos. His insight into why Zalos uses a computer-use agent approach rather than APIs is grounded in that background: enterprise finance systems frequently have no usable API, an incomplete one, or one that is too risky to use for live financial transactions. The visual interface is the only reliable path, and Apple Pay gave him the engineering discipline to build something operating at that interface reliably and securely. He is less publicly vocal than William and contributes technical commentary on LinkedIn rather than maintaining an active X presence. LinkedIn: search "Hung Hoang Zalos."