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Eyal
Worthalter
Director, Security Sales
Marvell Technology
Eyal is a cybersecurity revenue leader with over 15 years of experience at the intersection of technology sales, strategic partnerships, and go-to-market strategy. As Director of Security Sales at Marvell Technology, he is building ecosystem partnerships where semiconductors, AI, and cybersecurity converge. Throughout his career spanning cybersecurity, cloud security, and identity and access management (IAM), Eyal has learned valuable lessons from both successes and setbacks. He regularly shares these insights on LinkedIn to help other security sellers accelerate their growth and avoid common pitfalls. Having built and led high-performance teams across startups and established organizations, he is passionate about shaping stronger sales cultures and driving partner-first strategies, alliances, and product-led growth initiatives. With deep expertise in cybersecurity ecosystems, Eyal excels at connecting revenue functions - from marketing and sales to product - to remove barriers to growth and deliver exceptional results. As a startup enthusiast, he advises early-stage companies navigating the complex security landscape and, as a ā€œrecovering VP of Sales,ā€ enjoys helping cybersellers overcome challenges with targets and quotas.
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21 January 2026 10:00 - 10:30
Panel: Where AI fits, and doesn't, in the GTM stack
AI is being layered into every part of the go-to-market stack - from CRM features and forecasting tools to agents promising autonomous execution. But more tools don’t automatically mean better outcomes. In this fireside chat, we’ll take a practical look at where AI genuinely strengthens the GTM stack, where it creates friction or redundancy, and where teams are quietly pulling back. The conversation will explore how experienced GTM leaders are evaluating AI capabilities, integrating them into existing systems, and making trade-offs between speed, control, and complexity. We’ll also dig into ownership, data readiness, and long-term maintainability - the factors that often determine whether AI drives sustained impact or becomes another layer of technical debt. A candid, operator-led discussion for leaders who want to design a GTM stack that scales - not just experiments.