Strategic Overview
Staff Product Designer, AI at Contentsquare is a uiux opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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.
The role is listed for Raleigh, North Carolina with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include All Engineering, Product, and Design Roles, Engineering, Product, and Design.
Key information at a glance
About This Role
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
Key Responsibilities & Objectives
- 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.
- 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.
Required Qualifications & Candidate Blueprint
- 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.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
- Lead the experience strategy and vision for this product surface, and shape its roadmap alongside Product Management.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
What You'll Bring
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.
Nice to have:
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This uiux opening is a useful opportunity for candidates whose experience matches All Engineering, Product, and Design Roles, Engineering, Product, and Design. Its strongest career signal is the scope of the work itself — particularly Own design for Sense Analyst, the object model, and the inline visualisations it returns, from problem framing through to shipped detail. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground All Engineering, Product, and Design Roles, Engineering, Product, and Design, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.