Luzia

Product Manager

• Own the roadmap for a product area, deciding what to build, what not to build, and which KPIs it needs to move
• Use qualitative insight and data to guide product decisions
• Work with Engineering, Design, and Growth to turn AI capabilities into products solving real user needs
• Specify feature behavior, tool-calling conditions, human handoffs, and prohibited behaviors
• Set team priorities and ensure engineering effort focuses on the highest-impact work
• Define evaluation criteria and quality, latency, and cost metrics for AI features
• Identify signals showing when a product change has caused a regression
• Write product requirements and documentation
• Run experiments and use results to guide subsequent product decisions
• Challenge assumptions and present findings and recommendations to business leaders
• Lead an AI product area end to end, including production delivery and backend-related trade-offs

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Product Manager, AI