Product Manager, Analytics

Skip to main contentHey — Let's find your next opportunity 🚀Job title or companyLocationWorkplace typeWorkplace TypeSearchSet Job PreferencesBack to Job SearchProduct Manager, AnalyticsIntelligems2 months agoRemoteFull TimeIntermediate or Experienced$125,000 to $165,000 a yearDenver, Colorado, United StatesAbout IntelligemsIntelligems builds the AI agents that turn your traffic into profit. Every day, brands makes thousands of decisions — what to show, what to offer, how to price for each visitor — and most of them happen by default. We build the data and the agents that make those decisions for you, automatically, so your site gets smarter with every visitor instead of sitting static. Our mission is to make every one of those decisions intelligent: grounded in what actually works, not guesswork. We have excellent traction: we’re working with over 3,000 brands and have access to more than $10B of transaction and shopping session data. We are looking for highly talented individuals to join us and help us continue to scale efficiently. We have an extremely high-performing team, with a collaborative culture of low-ego + high-IQ people. Our people are our strongest asset, and we hold a very high bar. We're backed by Stage 2 Ventures, Vinyl Capital, Matchstick Ventures, Techstars, and the founders of companies like Klaviyo and Postscript, and have raised >$11M to date.About the jobWe'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. The job requires someone who builds for non-analysts, has genuine opinions about where opinionated product experiences matter and where data infrastructure matters more, and can hold their own in technical conversations about how data gets computed and delivered.What You'll DoMake data actionable for non-analystsLead product for analytics and insight surfaces with one clear mandate: showing data and creating understanding are not the same thing. Every surface — from sitewide P&L to post-test metrics — should help a merchant who isn't a data expert reach a faster, more confident decision.Drive interpretation, not just display. The gap between a chart and a decision is where merchants struggle.Define which views, metrics, and analytical lenses matter most to merchants navigating the platform.Own the analytics experience within experiments, from in-test performance through post-test metrics that reveal the full impact story of a test weeks and months after it ends.Own benchmarkingDefine how merchants understand their performance relative to peers. What does "good" look like for their industry and traffic mix? And how does that drive their next set of optimization actions?Work with data science on the methodology and infrastructure behind peer groups and industry normsBuild AI-powered interpretation and recommendationsDefine the product strategy for AI summaries, chat, and "interpret this" experiences across analytics surfacesShape how we structure and expose Intelligems data through our MCP layer so AI agents can query it reliablyBuild toward proactive insight delivery. Merchants should learn something important before they think to find it themselves.What You BringRequired Experience & SkillsProduct and design craft: you have a specific point of view on what makes a complex, flexible product accessible to a non-technical user. You've made real simplification decisions and can describe what you...