Staff Product Designer, AI

Contentsquare is hiring a Staff Product Designer, AI to lead design for Sense’s core AI surfaces as a product, owning its strategy and vision. The role defines interaction patterns and quality standards for AI-generated output, partners with Product Management and Engineering on the roadmap and workflows, and supports other designers.

Responsibilities:

• 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

Requirements:

• Staff-level product design experience, most of it in B2B SaaS, ideally analytics or workflow tools where users make decisions from complex information
• Hands-on design experience shipping AI or agentic features yourself: chat interfaces, generative output, memory or personalization, human-AI trust patterns
• Ability to reason about the data model underneath an interface
• An extensive track record of shipping zero-to-one work in ambiguous problem spaces, with a clear line from that work to business outcomes, not just user outcomes
• Strong collaboration and facilitation skills :you can bring engineering, PM, and other designers to a shared decision, not just present finished work
• Leadership and influence
• Experience designing for LLM and AI experiences, including prompt engineering
• Designing for enterprise or executive personas
• Prototyping in code to test an interaction model before it's built
• A background in analytics, attribution, or behavioural data products