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Jordan
Nolff
VP, Growth & Product
Productboard
Jordan Nolff is VP, Growth & Product at Productboard, where he leads Growth, AI product, product marketing, and analytics. His mandate is to make it exceptionally easy for teams worldwide to discover, trial, buy, and succeed with Productboard—while transforming the company into an AI-first platform for product managers. He is the driving force behind Spark, Productboard’s AI for PMs—designed to generate briefs in seconds, surface insights across customer feedback, and accelerate initiative planning. Under Jordan’s leadership, Spark evolved from concept to public beta through a deliberate AI-first rebuild of core workflows, focusing on evaluation rigor, product quality, and scalable team structures to support expanding AI surface area. Before stepping into his current role, Jordan served as GM, Head of Growth at Productboard, where he rebuilt the Growth function and aligned acquisition, activation, monetization, and analytics around a cohesive operating model.
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26 March 2026 11:15 - 11:45
From overhead to acceleration: AI agents as the new operating system for product teams
Product ops teams face a fundamental tension: processes that drive organizational efficiency create overhead for individual PMs. We’ve built connective tissue out of process through documentation requirements and coordination rituals, but it’s expensive. What if the connective tissue wasn't process but intelligence? In this session, Jordan Nolff, VP of Growth at Productboard, will share how AI agents are redefining product ops becoming the layer that aligns execution with strategy, decisions with customer feedback, and organizational learning with individual work, all while eliminating "work about work" and improving decision quality. Key Takeaways: - A clear framework for transforming your product ops function from a coordination layer into an acceleration engine - Why traditional product ops creates overhead and how to break the cycle - How AI agents connect strategy and data without friction - Practical first steps for implementing AI agents as organizational connective tissue
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