We're looking for a product manager to turn Intelligems' data into decisions merchants can actually act on. This PM leads our Analysis pillar: analytics surfaces, sitewide reporting, post-test metrics, benchmarking, recommendations, and AI-powered interpretation. Intelligems has a data asset most competitors can't replicate, and this PM exists to make that advantage real for merchants who don't have a data team. This is a high-impact, highly cross-functional role. You'll work closely with data engineering, data science, and the broader product team to define what merchants see, how they interpret it, and how AI closes the distance between data and confident action. What You'll DoMake data actionable for non-analysts- Lead product for analytics and insight surfaces so non-experts reach faster, more confident decisions- Drive interpretation, not just display- Define which views, metrics, and lenses matter most- Own analytics within experiments, from in-test performance through post-test metrics Own benchmarking- Define how merchants understand performance relative to peers; work with data science on methodology and infrastructure Build AI-powered interpretation and recommendations- Define strategy for AI summaries, chat, and "interpret this" experiences- Shape how we structure/expose data so AI agents can query it reliably- Build toward proactive insight delivery What You BringRequired Experience & Skills: product/design craft; AI-native product instinct; technical agency.Ideal Background: 3+ years PM experience with analytics/data-first products; B2B SaaS; worked closely with data engineering/science; advocated for product quality and launch reliability; made data legible/actionable for non-analysts; familiarity with e-commerce metrics (CVR, RPV, AOV, LTV, etc.); built prototypes with AI tools; bonus: Shopify/agentic AI.Key Attributes: craft-oriented; technically curious; user-centered; AI-native; collaborative.