I turn technology shifts into products that ship and scale.
I'm a product leader and two-time founder. For over two decades I've turned new technology into products that reach millions — building them, shipping them, running them. I founded my first company at 16, sold it at 23, built a platform that serves 100 million people a month, and am now working at the front of the AI shift.
Led product vision and strategy for Accenture Song's largest AI platform: one workbench where people and AI agents do the work together. Defined the strategic bets and shipped one of them end-to-end — a structured, versioned memory that people and agents ground in.
Co-founded at 16, ran product and technology. Grew a hobby site into the UK's largest independent entertainment news site: 24 million monthly users. Acquired by Hachette (Hearst) in 2008. Also: live-blogged TV, worked the red carpet as a cameraman.
The Guardian ↗Designed and built the content creation, distribution, and monetization platform behind Hearst's magazines, TV, and newspaper brands. Visitors up 50% and digital revenue up 35% in year one; it serves 100 million people a month today.
Hearst ↗Co-founded a podcast network; raised $1M in seed funding; doubled audience and revenue year over year.
Fast Company ↗Relaunched an iconic American brand on MediaOS, keeping it relevant to a new generation.
Hearst ↗Helped install Bionic's operating system for growth inside some of America's largest companies; $1B+ in new opportunities identified and validated. I even got to play with trains.
thegrowthos.com ↗AI has made building products faster, and put more of the software development lifecycle into a product manager's hands. What holds my attention is answering the new questions that a massive speed and efficiency boost opens up.
Efficiency is valuable, but it isn't everything. Where should we intentionally introduce friction so people can exercise creativity, taste, and judgment, and what we make doesn't drift to the average? What's the right balance between accumulating context and expiring stale data, so that the product and business isn't optimizing for past successes? What needs to be true in AI-native product discovery and validation so that we make something distinctive, versus a confident imitation?
I've been working on questions like these, at the intersection of technology and creativity, during my whole career. The first code I wrote was for Digital Spy, where I wanted to foster editorial creativity and a vibrant user community. At Hearst I scaled that technology into MediaOS, the platform behind global brands like Cosmopolitan that are rightly legendary for their provocative writing. The technology changes, but what I build for doesn't — human creativity and judgment, amplified rather than replaced.
I'm drawn to products where AI meets content, media, and community. If you're building one, I'd like to hear from you.
Outside work, I bike, hike, travel, and enjoy music from the 80s. Born in London, New York City is home — I live here with my husband.
