Product Manager, Analytics

Intelligems is a profit growth platform that helps e-commerce businesses uncover potential profits through data-driven insights. The Product Manager for Analytics will lead the analysis pillar, focusing on making data actionable for non-analysts, owning benchmarking, and building AI-powered interpretation and recommendations for merchants.

Responsibilities:

• Make data actionable for non-analysts
• Lead 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
• Define 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 norms
• Define the product strategy for AI summaries, chat, and "interpret this" experiences across analytics surfaces
• Shape how we structure and expose Intelligems data through our MCP layer so AI agents can query it reliably
• Build toward proactive insight delivery. Merchants should learn something important before they think to find it themselves

Requirements:

• Product 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 gave up to get there. You work with design as a genuine creative partner, not just a handoff
• AI-native product instinct: you think about AI as the mechanism that does the work, not a feature to add. You understand what it means for a product surface to be reliably operable by an agent and have genuine opinions on where AI helps and where it creates friction
• Technical agency: you don't need to code, but you stay in technically hard problems until a path emerges. You've found solutions through constrained environments before, and you think about what serves the merchant and what the team can actually ship in the same breath
• 3+ years of product management experience, with meaningful time working with analytics — either shipping or exhibiting an affinity for data-first products
• B2B SaaS experience with real customers and real stakes
• Experience working closely with data engineering or data science teams, not just consuming their output, but scoping and prioritizing the work alongside them
• Experience advocating for product quality and launch reliability, not just feature delivery
• Demonstrated ability to make data legible and actionable for non-analysts — the merchants using this product are running e-commerce businesses, not data science teams, and you've built for that reality
• Familiarity with the metrics that move e-commerce businesses: CVR, RPV, AOV, LTV, subscription attach rate, and why they move independently of each other
• Not afraid of sharing ideas by building them — you've used AI tools to create working prototypes, test concepts, or demo features
• Bonus: familiarity with Shopify or any product that runs inside a third-party storefront environment
• Bonus: experience building alongside or shipping agentic AI workflows