Twenty-two years close to the work.

Where I learned the whole machine.

EMC, Sun Microsystems, then Dell. I came up on the engineering side, but spent as much time where the software met the market: the sales motion, the marketing, the analytics, and the rooms where executives and senior stakeholders made the call. Enterprise software is never won on the product alone. This is where I learned how it actually gets built, priced and bought.

Product and data, as one discipline.

At Microsoft UK I ran planning and operations for the UK subsidiary, and learned how a business that size really steers itself. At Skype, after the acquisition, I worked with the core team on data strategy, product strategy and customer insight. At Tesco, I watched data used as leverage: not to report on the business, but to get ahead of it. Somewhere across those years product and data stopped being two functions for me, and became one way of thinking.

Putting AI into production, at scale.

At Hiya I owned product for consumer fraud detection in voice calls, the kind of system carriers like AT&T, BT and O2 build their networks on, with OEMs like Samsung shipping it in the handset. Adaptive AI and machine learning, fed by a honeypot network of lines that only ever ring for scammers, so the models never stop learning. I led the product and the high-performance engineering team that shipped it.

Production machine learning at this scale is its own discipline. It lives or dies on the team behind it, the data flywheel underneath it, and the nerve to keep shipping when the stakes are real.

Building the product, and the organisation.

As Head of Product at Smartnumbers, I owned voice-fraud and contact-centre security: critical-infrastructure software that banks like Lloyds and Santander screen every inbound call through before it reaches an agent. I built the product function from the ground up, hired the team, set the vision and the mission, and owned the strategy. When the software guards the line into a bank, the bar for judgment is absolute.