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Staff Product Designer, AI
Contentsquare. Own design for Sense Analyst, the object model, and inline visualisations from problem framing through shipped detail .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product design for B2B SaaS, particularly in AI and analytics, with a strong focus on user experience and business outcomes. Capable of leading design strategies, collaborating with cross-functional teams, and mentoring junior designers.
Highest-signal resume keywords
Staff-Level Product Design ExperienceHands-On Experience Shipping AI FeaturesExperience Designing LLM and AI ExperiencesStrong Collaboration and Facilitation SkillsLeadership and Influence
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product DesignAI Feature DevelopmentData Model ReasoningZero-To-One WorkPrompt Engineering
Soft Skills
CollaborationFacilitationMentoring
Tools & Technologies
Chat InterfacesGenerative OutputPrototyping in Code
Industry Keywords
B2B SaaSAnalyticsWorkflow ToolsHuman-AI Trust PatternsBehavioral Data Products
About the role
Key responsibilities & impact- Own design for Sense Analyst, the object model, and inline visualisations from problem framing through shipped detail
- Lead experience strategy and vision for the product surface and shape its roadmap with Product Management
- Define persistent objects, memory, context across sessions, and how these surface to users
- Set quality standards for trustworthy AI-generated output and collaborate with engineering on versioning and evaluation
- Partner with engineering on customer-facing agentic workflows and trusted AI-generated output
- Collaborate with designers building AI-native product areas through reviews, critique, and mentoring less-senior designers
Requirements
What you’ll need- Staff-level product design experience, most of it in B2B SaaS, ideally analytics or workflow tools
- Hands-on experience shipping AI or agentic features, including chat interfaces, generative output, memory or personalization, and human-AI trust patterns
- Ability to reason about the data model underlying an interface
- Extensive track record of shipping zero-to-one work in ambiguous problem spaces
- Demonstrated connection between design work and business outcomes
- Strong collaboration and facilitation skills
- Leadership and influence
- Experience designing LLM and AI experiences, including prompt engineering
- Nice to have: experience designing for enterprise or executive personas
- Nice to have: prototyping in code to test interaction models
- Nice to have: background in analytics, attribution, or behavioural data products
Benefits
Comp & perks- Career development and mentorship
- Social events and philanthropic activities
- Competitive benefits
- Virtual onboarding
- Hackathon and opportunities to interact with team and global colleagues on and offsite
- Hybrid and remote work policies
- Generous paid time-off policy
- Lifestyle allowance
- Culture Crew activities in every country
- Stock options for every full-time employee
- Employee Resource Groups
- Country-tailored benefits