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Matan-Paul
Shetrit
Director of Product
Writer
Matan-Paul Shetrit is the Director of Product at Writer, the end-to-end platform for scaling agentic AI in the enterprise. With over 16 years of experience in product management, strategy, and economics, Matan has led product teams at A.Team, Brex, Flexport, and Square—driving innovative offerings that blend cutting-edge technology with deep market insight. Before joining Writer, Matan served as the Head of Product at A.Team, steering the platform's strategic roadmap to connect world-class tech talent with high-growth companies. At Brex, he was instrumental in launching card product offerings and partnership initiatives that significantly increased GMV. Earlier in his career, Matan led initiatives at Flexport, unlocking real-time supply chain visibility through novel freight marketplaces, and oversaw Square's developer platform, driving a 100x increase in transaction volume. Matan's background also includes policy and financial roles at Israel's Ministry of Finance and KCPS & CO, where he delivered economic analyses, risk strategies, and large-scale investment models. A member of the World Economic Forum's Global Shapers Community in San Francisco, Matan is passionate about leveraging AI and data-driven solutions to create tangible impact for businesses and society at large.
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29 April 2025 09:45 - 10:15
Fireside Chat with Premji Invest & Writer: Powering agentic AI at enterprise scale
Agentic AI marks the next frontier, blending advanced reasoning, tool calling, and autonomous action across enterprise systems. It has the power to execute end-to-end workflows, but that capability can’t be realized by models alone. Deploying agents in real-world enterprise environments demands a platform architecture purpose-built for speed, efficiency, and integration at scale. In this fireside chat, Matan-Paul Shetrit, Director of Product at Writer, joins Sandesh Patnam, Managing Partner at Premji Invest, to discuss why an integrated approach – from the underlying models to the end user experience – is the only way to embed agents deep into enterprise workflows, systems, and data. They’ll also explore what’s next for model innovation in the agentic era, from breakthroughs in efficiency, latency, and long-context processing to self-evolving capabilities, and share their perspectives on where the next wave of AI-powered business transformation is headed.