Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Causaly

Location: London, United Kingdom

Job Type: Full-time

Category: Product Design / UX/UI

Date Posted: April 02, 2026

Experience Level: 5-8 years

Remote Status: Hybrid

🚀 Role Summary

• Lead end-to-end product and experience design for Causaly's AI platform, focusing on agentic research workflows and AI-driven user interactions within the life sciences domain.

• Design complex systems, workflows, and intelligent behaviors, translating advanced AI capabilities into intuitive, trustworthy, and impactful user experiences.

• Drive product discovery, problem framing, and user research to inform design decisions, and collaborate closely with Product Managers and Engineers in a trio model to shape product strategy and execution.

• Leverage modern AI tools and coding agents for rapid prototyping, concept exploration, and validation, pushing beyond traditional static design tools to create production-adjacent prototypes.

• Contribute to a high-performing product design team, acting as a design leader, raising the bar for quality and clarity, and contributing to the evolution of the Causaly design system.

📝 Enhancement Note: The role emphasizes designing "systems, workflows, and behaviours" rather than just screens, highlighting a deep dive into AI-native and agentic interactions. This suggests a need for candidates who can think abstractly about system logic and non-deterministic outputs, a critical aspect of modern AI product development.

📈 Primary Responsibilities

• Own the complete product design lifecycle, from initial discovery and problem definition through to final delivery and implementation, ensuring seamless user experiences.

• Architect and design AI-native workflows and agent-driven experiences, focusing on how users interact with complex, intelligent, and evidence-backed systems.

• Define and articulate system behaviors, states, and flows, moving beyond traditional UI design to encompass the dynamic nature of AI interactions.

• Conduct comprehensive user research, including interviews and usability testing, to gather insights that directly inform product and design direction.

• Rapidly prototype and validate design concepts using modern AI tools and coding agents, exploring diverse interaction models and system behaviors.

• Translate complex AI capabilities and scientific domain requirements into intuitive, trustworthy, and high-impact user interfaces and workflows.

• Design interaction models for human-AI collaboration, emphasizing clarity, user control, and building trust in AI-generated outputs.

• Collaborate actively within a cross-functional product trio (Product Manager, Engineer) to define product strategy, roadmap, and execution plans.

• Contribute to the development and maintenance of the Causaly design system, ensuring consistency and scalability across the platform.

• Partner closely with engineering teams to ensure the accurate and high-quality implementation of designed experiences, potentially contributing lightweight code changes.

• Drive projects forward with a high degree of ownership in ambiguous environments, translating business goals into concrete product and UX outcomes.

• Maintain a high standard for interaction design, visual design, and overall product quality, acting as a design leader and advocate within the team.

📝 Enhancement Note: The emphasis on "defining system behaviors, states and flows—not just screens" and "working with non-deterministic systems" indicates a need for a designer who can handle the unique challenges of AI product design, where outputs are not always predictable and user trust is paramount.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.

Experience: 5-8 years of experience in product design (UX/UI), with a strong preference for experience in SaaS, AI, or highly technical product environments.

Required Skills:

• Proven track record of owning and successfully shipping complex products or intricate workflows end-to-end within a product team setting.

• Demonstrated ability in product thinking, systems design, and translating complex problems into intuitive user experiences.

• Strong portfolio showcasing product discovery, deep understanding of interaction and visual design, and measurable impact on product outcomes.

• Proficiency in modern design tools, specifically Figma, and experience with prototyping tools.

• Experience or a strong, demonstrable interest in designing AI-powered, data-rich, or complex technical products.

• Ability to think in terms of systems, designing flows, behaviors, patterns, and interactions that account for complexity and variability.

• Comfort and aptitude for prototyping using code or AI-assisted tools such as Cursor, Claude Code, or similar.

• Capacity to move fluidly between design conceptualization and implementation, with a "builder mindset."

• Strong communication, storytelling, and stakeholder management skills, with the ability to articulate design rationale and vision effectively.

Preferred Skills:

• Experience with generative AI, agent-based systems, or conversational interface design.

• Background in healthcare, life sciences, or other similarly complex scientific or expert domains.

• Prior experience in fast-paced start-up environments, demonstrating adaptability and a proactive approach.

• Experience specifically designing for trust, transparency, and managing user judgment in AI-driven systems.

• Experience contributing lightweight code changes or submitting PRs to production codebases to accelerate learning and delivery.

• Proven experience in building and maintaining scalable design systems.

📝 Enhancement Note: The requirement for "5-8 years of experience" positions this as a senior individual contributor role, demanding strategic thinking and leadership within the design function, not just execution. The emphasis on "builder mindset" and "prototyping with code or AI-assisted tools" suggests a hands-on role that bridges design and development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio that clearly demonstrates end-to-end product design ownership, from initial problem framing and user research to final shipped product and its impact.

• Case studies that highlight systems thinking, showcasing how complex workflows, system behaviors, and AI interactions were designed, not just static screen designs.

• Evidence of designing for complex, data-rich, or AI-powered products, with a focus on translating technical capabilities into intuitive user experiences.

• Demonstrations of rapid prototyping skills, particularly utilizing AI tools or code-assisted methods to explore and validate design concepts.

• Examples of how user research and usability testing were integrated into the design process to inform critical decisions and drive product direction.

Process Documentation:

• Showcasing the process of defining and designing for non-deterministic systems, and how uncertainty and variability in AI outputs were managed within the user experience.

• Examples of how the candidate has contributed to or evolved design systems, demonstrating an understanding of scalability, consistency, and component-based design.

• Documentation of collaboration methodologies within cross-functional teams, illustrating how design was integrated with product management and engineering roadmaps.

• Evidence of user research methodologies employed, including how insights were synthesized and translated into actionable design specifications.

📝 Enhancement Note: The emphasis on "systems, workflows, and behaviours" and "AI-native workflows" means a portfolio should go beyond traditional UI mockups to include system diagrams, user journey maps illustrating AI interaction, and case studies detailing the design of non-deterministic system behaviors.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer role in London, UK, with 5-8 years of experience in a specialized AI/SaaS company, a competitive salary range is estimated between £75,000 and £100,000 per annum. This estimate is based on industry benchmarks for senior design roles in London's tech sector, considering the specialized nature of AI and life sciences products, and the company's funding status.

Benefits:

• Competitive compensation package.

• Comprehensive private medical insurance.

• Private dental insurance.

• Life insurance coverage (4 x salary).

• Generous personal development budget to support continuous learning and skill enhancement.

• Individual wellbeing budget for activities promoting health and wellness.

• 25 days of annual holiday, in addition to UK bank holidays.

• A special day off for your birthday.

• Opportunity for significant impact and accelerated career growth within an international team building a transformative AI product.

Working Hours: The standard working hours are not explicitly defined but are assumed to be a typical 40-hour work week, common for full-time positions in the UK tech industry. The hybrid work arrangement suggests flexibility within these hours.

📝 Enhancement Note: The salary range is an estimate based on typical Senior Product Designer compensation in London's tech market, adjusted for the specialized AI/SaaS domain and the company's stage. The provided benefits are directly listed from the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company operates within the intersection of Artificial Intelligence, Life Sciences, and Information Technology, specifically focusing on biomedical knowledge discovery and interpretation. Causaly is building a sophisticated AI-powered platform that leverages a high-precision Knowledge Graph and GenAI capabilities.

Company Size: Causaly is described as "small but impactful," and is "scaling rapidly." With a presence in the UK and an international team, it suggests a dynamic, growth-stage startup environment where individual contributions have significant visibility and influence.

Founded: While the founding date isn't explicitly stated, the company's description as "scaling rapidly" and being backed by "top-tier investors" indicates it is a relatively young but well-funded and established startup, likely founded within the last 5-10 years.

Team Structure:

• The Product Design team is described as "small but impactful," suggesting close-knit collaboration and high individual responsibility.

• The Senior Product Designer role is embedded within a cross-functional team, operating under a "trio model" with Product Managers and Engineers.

Methodology:

• Causaly utilizes AI and GenAI to power its knowledge platform, implying a data-driven approach to product development and a focus on scientific rigor.

• The product development methodology likely emphasizes agile principles, rapid iteration, and continuous learning, especially given the "start-up" nature and focus on AI.

• A key methodology will involve designing for human-AI collaboration, focusing on trust, clarity, and control in complex, non-deterministic systems.

Company Website: https://www.causaly.com/

📝 Enhancement Note: The "small but impactful" nature and "scaling rapidly" description point to a fast-paced, dynamic startup environment where culture is likely evolving but emphasizes innovation, ownership, and direct impact. The focus on AI and biomedicine suggests a highly technical and knowledge-intensive culture.

📈 Career & Growth Analysis

Operations Career Level: This position is a Senior Individual Contributor (IC) role within the Product Design function. It signifies a level of expertise where the individual is expected to lead complex design initiatives, mentor junior team members implicitly, and significantly influence product strategy and execution. The role requires not just execution but also strategic thinking, problem framing, and a deep understanding of AI-driven product development.

Reporting Structure: The Senior Product Designer will be embedded within a cross-functional team and operate in a "trio model" with a Product Manager and Engineers. While not explicitly stated, they likely report to a Head of Product Design or a similar design leadership role, but their day-to-day work will be highly integrated with their immediate product team.

Operations Impact: The Senior Product Designer's impact is critical to Causaly's mission of redefining knowledge acquisition in biomedicine. By designing intuitive and trustworthy AI-driven workflows, they directly enable researchers and decision-makers to accelerate drug discovery, improve safety, and drive better strategic decisions. Their work directly shapes how users interact with and derive value from Causaly's core AI platform, influencing user adoption, satisfaction, and the company's market differentiation.

Growth Opportunities:

• Domain Expertise: Deepen expertise in AI interaction design, specifically within the complex and high-stakes domain of life sciences and biomedical research.

• Leadership & Influence: Grow into a design leadership role, potentially guiding future design hires, contributing to design strategy, and influencing product roadmap decisions at a higher level.

• Technical Skill Development: Enhance skills in rapid prototyping using AI tools and code, potentially contributing to production code, and staying at the forefront of AI/GenAI interface design patterns.

• Career Advancement: Progress to roles such as Lead Product Designer, Group Product Designer, or even Head of Design as the company scales.

• Impactful Projects: Work on transformative AI products that have a direct impact on scientific breakthroughs and human health.

📝 Enhancement Note: The "Senior IC" designation and "embedded within a cross-functional team" structure suggest a role focused on deep individual contribution and direct team collaboration, rather than people management, though informal mentorship is likely.

🌐 Work Environment

Office Type: Causaly operates a hybrid work model, meaning employees will have a mix of remote work and in-office collaboration. This suggests a flexible approach to work, balancing individual focused time with team-based interaction.

Office Location(s): The role is based in London, United Kingdom, with the hybrid model implying that specific days or for specific purposes, attendance at a London office will be required. The exact office location in London is not specified but will likely be a modern, collaborative workspace designed to support cross-functional team interaction.

Workspace Context:

• The workspace is designed to foster collaboration, particularly through the "trio model" and cross-functional team structure, encouraging close partnership between design, product, and engineering.

• Employees will have access to modern design tools and technology, including Figma, AI coding assistants (like Cursor, Claude Code), and collaboration platforms (like Miro).

• The environment is likely fast-paced and dynamic, typical of a scaling tech startup, offering opportunities for direct interaction with colleagues and leadership.

Work Schedule: While specific hours aren't detailed, a full-time hybrid role in the UK typically involves approximately 40 hours per week. The hybrid nature allows for flexibility in structuring workdays, balancing remote focus time with in-office collaboration.

📝 Enhancement Note: The hybrid nature implies a need for strong self-management and communication skills, both for remote work and for effective in-office collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application and portfolio to assess alignment with the core requirements, particularly experience in complex product design and AI/technical domains.

• Portfolio Deep Dive: A session focused on your portfolio, where you'll be asked to walk through specific case studies, detailing your design process, problem-solving approach, and the impact of your work. Expect in-depth questions about your systems thinking and AI interaction design experience.

• Cross-Functional Interview: Discussions with members of the product team (Product Manager, Engineers) to evaluate collaboration style, communication skills, and ability to contribute to product strategy and execution.

• Design Leadership Interview: A conversation with design leadership to assess your design craft, leadership potential, understanding of design systems, and cultural fit within the Causaly design team.

• Potential Practical Exercise: You might be asked to complete a small design challenge or present on a hypothetical problem related to AI-driven workflows, focusing on your thought process and approach.

Portfolio Review Tips:

• Highlight Systems Thinking: Showcase how you designed not just screens, but also workflows, behaviors, and system interactions, especially for AI-powered or data-intensive products.

• Demonstrate AI/Technical Acumen: Include examples of designing for AI, non-deterministic systems, or complex technical domains. Explain how you approached challenges related to trust, clarity, and control.

• Showcase Prototyping Skills: Detail your experience with rapid prototyping, especially using AI tools or code-assisted methods. If you've contributed to code, highlight this.

• Quantify Impact: Wherever possible, use metrics and data to demonstrate the impact of your design decisions on user behavior, product performance, or business objectives.

• Tell a Story: Structure your case studies to clearly articulate the problem, your role, your process, the challenges you faced, your solutions, and the outcomes.

Challenge Preparation:

• Understand AI Interaction Paradigms: Familiarize yourself with current trends and best practices in designing for generative AI, agentic systems, and conversational interfaces.

• Systems Design Fundamentals: Be prepared to discuss how you would approach designing complex, interconnected systems and workflows.

• Problem Framing: Practice articulating problems clearly and identifying key user needs and business opportunities within a given scenario.

• Communication of Rationale: Be ready to clearly explain the "why" behind your design decisions, referencing user research, data, and strategic goals.

📝 Enhancement Note: Given the unique nature of the role (AI-native, agentic workflows, non-deterministic systems), interviewers will likely probe deeply into how candidates approach ambiguity, design for trust in AI, and think about system-level interactions beyond traditional UI.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for UI design, wireframing, and prototyping. Proficiency is essential for creating detailed mockups and interactive prototypes.

• Miro: Likely used for collaborative whiteboarding, brainstorming, user journey mapping, and synthesizing research findings.

• Cursor / Claude Code (or similar AI coding assistants): Key tools for rapid prototyping, exploring AI-driven interactions, and potentially contributing lightweight code. Experience with these or similar AI coding tools is highly valued.

Analytics & Reporting:

• While specific tools are not mentioned, expect to work with product analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) to understand user behavior, track feature adoption, and measure the impact of design changes.

CRM & Automation:

• Not directly relevant to the Senior Product Designer role, but an understanding of how design integrates with the broader product ecosystem, including potential CRM or automation tools used by sales/marketing, could be beneficial for context.

📝 Enhancement Note: The explicit mention of "Cursor, Claude Code" as tools for prototyping indicates a strong emphasis on a hands-on, code-adjacent design process, moving beyond traditional static design tools.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on driving tangible impact through AI and product innovation, aiming to accelerate scientific breakthroughs.

• User-Centricity: Deep understanding of user needs, especially within complex expert domains like life sciences, ensuring the AI platform is intuitive and valuable.

• Collaboration & Ownership: A culture that fosters close cross-functional teamwork ("trio model") and encourages individuals to take ownership of their domains and drive projects forward.

• Innovation & Experimentation: Embracing the cutting edge of AI and GenAI, encouraging exploration of new interaction paradigms and rapid prototyping.

• Quality & Craftsmanship: Maintaining a high bar for design quality, interaction detail, and overall product polish.

Collaboration Style:

• Integrated Trio Model: Design, Product Management, and Engineering work in tight-knit, cross-functional teams, ensuring seamless alignment and shared ownership.

• Open Communication: Expect open dialogue, constructive critique, and proactive communication to share ideas, feedback, and progress.

• Data-Informed: Decisions are driven by a blend of user research, product analytics, and business rationale, fostering a data-informed approach to design.

• Agile & Iterative: A collaborative environment that supports iterative development, rapid feedback loops, and continuous improvement of the product.

📝 Enhancement Note: The "trio model" suggests a very integrated and collaborative working style where design is not a siloed function but a core partner in product development from day one.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Working with non-deterministic AI systems requires designing for uncertainty, variability, and gracefully handling unexpected outputs, which is a significant challenge compared to traditional software.

• Building Trust in AI: Creating user experiences that foster trust and transparency in AI-generated information is critical, especially in high-stakes domains like life sciences where accuracy is paramount.

• Translating Complex Concepts: Effectively communicating and designing interactions for sophisticated AI capabilities and complex biomedical data requires deep user understanding and design ingenuity.

• Pace of AI Evolution: Keeping pace with the rapid advancements in AI technology and translating these into practical, user-friendly product features requires continuous learning and adaptation.

• Balancing Innovation with Usability: Finding the right balance between pushing the boundaries of AI interaction design and ensuring the product remains intuitive and accessible to expert users.

Learning & Development Opportunities:

• Specialized AI Design: Gaining deep expertise in designing for generative AI, agentic systems, and human-AI collaboration within a leading AI company.

• Domain Expertise: Developing a strong understanding of the life sciences and biomedical research landscape, enhancing the ability to design for expert users.

• Technical Skill Enhancement: Opportunities to hone skills in AI-assisted prototyping, coding, and potentially contributing to production code, bridging the gap between design and development.

• Product Strategy Influence: Playing a key role in shaping product strategy and roadmap, moving beyond execution to strategic decision-making.

• Design Leadership: Opportunities to influence design culture, mentor peers, and potentially grow into leadership roles as the company expands.

📝 Enhancement Note: The primary challenges revolve around the inherent complexities of designing for AI, which requires a different mindset and skillset than traditional UX/UI design.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex workflow or system. What were the key challenges, and how did you approach them?" (Focus on systems thinking, problem decomposition, and process).

• "How would you approach designing an interface for an AI agent that provides research insights? What are the critical considerations for trust and transparency?" (Focus on AI interaction design, user trust, and handling non-deterministic outputs).

Company & Culture Questions:

• "Why Causaly? What interests you about our mission and our approach to AI in biomedicine?" (Demonstrate research into the company, its mission, and its product).

• "How do you see yourself collaborating within our 'trio model' with Product Managers and Engineers?" (Highlight teamwork, communication, and cross-functional alignment).

Portfolio Presentation Strategy:

• Structure Your Case Studies: For each case study, clearly outline: Problem Statement, Your Role & Responsibilities, Research & Discovery, Design Process & Iterations, Solutions & Key Features, Challenges & Trade-offs, and Outcomes & Impact (quantified where possible).

• Emphasize AI/System Design: Dedicate specific explanations to how you designed for AI, complex systems, or non-deterministic workflows. Use diagrams or flowcharts to illustrate system behaviors.

• Demonstrate Prototyping Capabilities: Be ready to discuss your prototyping tools and methods, especially if you used AI assistants or code. Show interactive prototypes if possible.

• Articulate Your Rationale: Be prepared to deeply explain the "why" behind your design decisions, referencing user insights, data, and strategic objectives.

• Highlight Collaboration: Showcase instances where you effectively partnered with PMs and Engineers.

📝 Enhancement Note: Expect interviewers to dig into the nuances of designing for AI, understanding your thought process around ambiguity, trust, and user control in an AI-driven environment.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Ashby.

• Curate Your Portfolio Strategically: Select 2-3 of your strongest case studies that best highlight your experience in designing complex systems, AI-driven products, or intricate workflows. Ensure these examples clearly demonstrate your end-to-end process, problem-solving skills, and impact.

• Tailor Your Resume: Highlight keywords and experiences directly relevant to the job description, such as "AI-powered product design," "systems thinking," "agentic workflows," "prototyping with code/AI tools," and "cross-functional collaboration." Quantify achievements whenever possible.

• Prepare Your Portfolio Walkthrough: Practice presenting your selected case studies, focusing on articulating your design rationale, process, and the outcomes achieved. Be ready to discuss your approach to ambiguity and AI interaction design in detail.

• Research Causaly Thoroughly: Understand Causaly's mission, its AI platform, its target market (life sciences), and its values. Prepare thoughtful questions about the product, the team, and the challenges of designing for AI in this domain.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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