Staff Product Designer, AI

Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other. Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog. Contentsquare works with 3,000+ enterprise and mid-market brands on data from 1.3 million websites. We've raised $1.4bn to build the platform, and G2 rates us a Leader across ten enterprise categories. Sense is our agentic layer on top of that: ten years of cross-customer behavioural data, an AI analyst, a chat and visual-stories interface, and a memory and object model underneath both. This role leads design for Sense's core AI surfaces as a product in its own right, not a feature downstream of someone else's roadmap. That means owning strategy and vision for this surface, not just shipping against a brief. Most of what you're designing here has no reference pattern to draw from yet; part of the job is defining and sharing these patterns.

What you'll do

Own design for Sense Analyst, the object model, and the inline visualisations it returns, from problem framing through to shipped detail. Lead the experience strategy and vision for this product surface, and shape its roadmap alongside Product Management. Work from the data model up: what counts as a persistent object, how memory and context carry across sessions, and how that surfaces to the person using it. Set the quality bar for AI-generated output on these surfaces: what "trustworthy" and "good" look like, and how that gets versioned and evaluated with engineering. Partner with engineering on customer facing agentic workflows and how AI-generated output gets versioned and trusted. Work alongside the other designers building the AI-native parts of the product: review each other's work, push each other's thinking, and help less-senior designers on the team build judgement in this space.