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Job Description
📋 Description Own the Experimentation pillar and lead the Product team in triad with Engineering and Design. Define strategy, roadmap, and commercial outcomes for the in-product experimentation platform. Advance AI-native primitives and close the loop from offline evaluation to production experiments. Win high-maturity buyers by delivering-depth capabilities for analytics and warehouse integration. Expand warehouse-native coverage across major data warehouses and query layers. Represent the category externally and enable sales to win head-to-head. 🎯 Requirements Senior product leader (GM, VP, or equivalent) with a track record owning a data-focused product Deep fluency in experimentation methodology: causal inference, variance reduction, sequential Experience recruiting and leading data science, engineering, and design teams. Ability to set multi-quarter roadmaps and communicate with executives and boards. Clear, direct communicator who ships and learns quickly, not just documents requirements. Vision for AI-native experimentation and its use in autonomous systems and production data. 🎁 Benefits RSU-based compensation with competitive pay bands and standard benefits. Relocation and visa considerations as needed for qualified candidates. Strong emphasis on diversity, equal opportunity, and a respectful work culture.
