Contentsquare

Senior AI Product Designer

Job Description

As a Senior AI Product Designer, you will work at the intersection of AI innovation and product design, collaborating with a fast-paced AI team dedicated to rapid iteration and feedback loops. Your primary focus will be to lead the design of intuitive, impactful experiences, helping us achieve product-market fit while elevating design quality. In particular, you will be working on AI features that are useful, viable, and generate trust in our users. 

You will have the opportunity to help shape the foundations of our AI experiences, focussing on how AI can help surface and simplify complex information, and help our users make decisions and take action. 

You will work closely with engineers, product managers, and leadership to bring AI-powered concepts to life while ensuring functionality, usability, and delight for our users. This role will also collaborate across Contentsquare’s broader design organization to ensure consistency and excellence across all touchpoints.



What You'll Do
  • Design Excellence: Own the end-to-end design process, from user research and ideation to prototyping and final execution, for our AI analytics product.
  • User-Centered Focus: Leverage user research, analytics, and feedback to inform design decisions, ensuring a seamless user journey from discovery to engagement. Develop intuitive interfaces and workflows for AI-powered analytics, ensuring users can seamlessly explore, act on, and trust insights
  • Rapid Iteration: Work within a Lean UX environment to quickly prototype, test, and refine ideas in collaboration with cross-functional teams.
  • Cross-functional collaboration: Partner with engineers, product managers, researchers, and other designers to align priorities, functionality, and user needs.
  • Communicate Effectively: Present design solutions clearly to stakeholders at all technical and nontechnical levels. articulating the "why" behind your design decisions.
  • Rapid prototyping: Create fast prototypes using a variety of tools to validate hypotheses or evolve design or content 
  • Systems thinking: Tackle systems-level problems with numerous interconnected constraints.
  • Navigation and AI: consider how AI can support navigation and AI, and evolve current paradigms 
  • Translate AI to Usable Insights: Simplify complex AI models and machine learning outputs into actionable visualizations, dashboards, and reports.
  • Trend Monitoring: Stay ahead of advancements in AI, data visualization, and product analytics to ensure our solutions remain innovative and competitive.

    • What We're Looking For
  • Must-Haves:

  • Extensive Product Design Experience: A minimum of 5 years in product design, with experience in complex or enterprise-level software, is essential.
  • Portfolio: A compelling portfolio showcasing sophisticated UX solutions, information architecture, and design for developer tools, SaaS, or enterprise products.
  • Problem-Solving: Deep understanding of user problems and the ability to propose creative, practical solutions.
  • Communication: Strong verbal and visual communication skills to effectively share design concepts with diverse audiences.
  • Collaboration: Ability to work across multiple time zones and thrive in a dynamic, fast-paced environment.
  • User-Centered Design Proficiency: Strong skills in end-to-end design, with the ability to translate complex technical flows into simple, intuitive user experiences.
  • Collaboration Skills: Experience working with cross-functional teams, including engineers, product managers, and stakeholders, to advocate for user experience and align design solutions with business objectives. Working collaboratively with product people to balance user needs and business benefits, and to iteratively deliver work
  • Proficiency with Design Tools: Advanced proficiency in design tools such as Figma and other relevant software to create high-quality design artifacts.
  • Analytical and Research Abilities: Ability to utilize user research, data analytics, and success metrics to inform design decisions and ensure solutions deliver customer value.
  • Rapid prototyping: Ability to prototype and iterate to make interactions easy to use, content easy to understand and to validate user experiences before development, either in code or using tools such as Swift UI, Origami, or ProtoPie
  • Personalization and Recommendations: Experience designing experiences that adapt dynamically based on user behavior, such as personalized product recommendations or dynamic content delivery.
  • Data Analytics and Visualization: Experience in designing intuitive dashboards and data visualizations that help users make data-informed decisions.

  • Specific AI experience:
  • Expertise in designing systems that process and interpret data, enabling products such as:
  • Assistants or co-pilots
  • Sentiment analysis tools for customer feedback
  • Chatbots and conversational interfaces
  • Summaries of complex data to support users to make decisions or take action
  • Diagnostics
  • Personalization or recommendation systems
  • Predictive analytics
  • Data visualizations incorporating AI insights
  • Anomaly detection
  • Experience in designing for comprehension, and trust in the results of the AI summary or analysis

  • Collaboration with AI Engineers and Data Scientists:
  • Bridging the gap between design and technical teams by translating abstract AI concepts into functional, user-friendly designs. Ability to work with engineers to understand how ML algorithms and frameworks (e.g. TensorFlow, PyTorch) can be used to drive user experiences
  • Ethical AI: Awareness and understanding of fairness and privacy in AI systems

  • Nice-to-Haves:
  • Experience designing for AI-powered tools or workflows for SaaS or B2B businesses
  • Experience in working in a fast-paced startup or scale up

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