Anna Escobedo Cabral
42nd U.S. Treasurer | Chair, BBVA Microfinance Foundation | Co-Founder, The Cabral Group | Former Senior Advisor, Inter-American Development Bank
CTO, Obama for America 2012 | CEO, 2389 Research Inc. | Founder, Modest Inc. (Acq. PayPal) | AI, Big Data & Digital Innovation Expert
Harper Reed built the technology that helped re-elect a president, sold a startup to PayPal, and is now leading a venture-backed AI company building the next generation of intelligent automation. One of tech's most original minds, he speaks with the rare authority of someone who has repeatedly shipped products that changed how the world works — and the candor of a hacker who has learned just as much from what didn't.
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Harper Reed is one of the most original and battle-tested technologists of his generation — a hacker, entrepreneur, and builder who has spent three decades at the intersection of technology, culture, and innovation. From pioneering crowdsourcing at Threadless to architecting the most sophisticated digital campaign in political history, to building and selling a startup to PayPal, to now leading a venture-backed AI company, Reed’s career is a master class in applying technology to problems that matter at scale.
Technology speaker Harper Reed is best known as the Chief Technology Officer of Obama for America — Barack Obama’s 2012 presidential reelection campaign. Recruited to lead the campaign’s technology operation, Reed assembled an engineering team poached from Google, Twitter, Facebook, and other leading tech companies, and built Project Narwhal: a centralized data integration platform that unified voter outreach, fundraising, and ground-game operations into a single system. The campaign raised over $700 million online and demonstrated, for the first time at this scale, what happens when Silicon Valley’s engineering culture is applied to democratic participation. It permanently changed how political campaigns — and large organizations — think about data, technology, and coordinated action.
Before Obama, Reed served as CTO of Threadless, the Chicago-based crowdsourcing clothing company, helping grow it from a 12-person startup into a multimillion-dollar enterprise and earning the company a spot on Inc.‘s list of most innovative companies in America. After the campaign, he founded Modest, Inc., a mobile commerce startup that produced four patents and was acquired by PayPal, where Reed subsequently served as Head of Commerce at Braintree and Entrepreneur-in-Residence.
Reed’s most recent chapter brings together everything he has learned about technology, teams, and the future. In 2024, he co-founded 2389 Research Inc., a venture-backed AI company where he serves as CEO, focused on building multi-agent workflows that unlock new possibilities for intelligent automation and commerce. His work in AI is deeply hands-on — rooted in practical experimentation with large language models, agent orchestration, and real-world applications rather than abstract speculation.
Beyond his operating roles, Reed is a board member of Keeper, a leading password manager; a Trustee at Cornell College; a board member of the Pardee RAND Graduate School; and an advisor to the Royal United Services Institute and the MIT Media Lab. He holds a B.A. in computer science and philosophy from Cornell College.
As a speaker, Harper Reed brings rare credibility: he has not just observed technological transformation, he has repeatedly built it. His keynotes are energetic, honest, and grounded in real engineering experience — exploring AI’s practical implications for business, the future of intelligent automation, what big data actually means in practice, how to build high-performing technology teams, and what leaders need to understand about the wave of change reshaping every industry. Audiences leave not with hype, but with clarity.
Reed has a simple framework for AI: treat it like a brilliant intern — extraordinarily capable, but inexperienced and occasionally wrong. In this keynote, he cuts through the hype to offer a practical, engineer's-eye view of what AI can and cannot do today, how organizations can integrate it responsibly into real workflows, and what leaders need to understand about multi-agent systems, large language models, and the automation wave reshaping every industry. Grounded in his hands-on work at 2389 Research, this is one of the most pragmatic AI talks available on the speaking circuit.
In 2012, Reed assembled a team of Silicon Valley engineers and built a data infrastructure that changed how a presidential campaign — and the world — thinks about technology-driven coordination. In this keynote, he walks audiences through the decisions, the failures, and the breakthroughs behind Project Narwhal, extracting the principles that made it work: how to hire engineers from outside your industry, how to build systems that unify disparate data sources, and how to operate at scale under extreme time pressure. The lessons apply far beyond politics — to any organization managing complex operations across large, distributed teams.
Everyone says they want to be data-driven. Very few organizations actually are. Reed — who built some of the most sophisticated data systems in political history and advised organizations across sectors — cuts through the buzzwords to explain what being data-driven actually requires: the infrastructure, the culture, the talent, and the discipline to let metrics drive decisions rather than just decorate presentations. This keynote is practical, occasionally provocative, and full of real examples from a career spent building systems where the data had to work.
The best technology is built by the best teams — and the best teams are built deliberately. Drawing on his experience hiring engineers from across Silicon Valley for the Obama campaign, scaling Threadless, and building multiple startups from scratch, Reed explores what it takes to attract, organize, and inspire technology talent. This keynote covers the principles of engineering culture, how to hire for builders rather than résumés, how to maintain startup agility inside larger organizations, and what leaders outside of tech need to understand about the people who are building their future.
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