Senior Product Designer (AI Experiences)

The Design Project; Remote; GBP 70,000 - GBP 100,000; Full time

Job summary

A leading technology company is looking for a Senior Product Designer specializing in AI experiences. The role involves leading the design of AI-powered products, driving intelligent workflows, and ensuring high-quality user experiences. Candidates should have over 5 years of experience with a strong UX portfolio and proficiency in tools like Figma. This is a fully remote position within the UK, offering a salary range of £70,000 - £100,000 per annum, alongside competitive benefits geared toward fostering innovation and employee well-being.

Benefits

Competitive Salary

Comprehensive Health Coverage

Generous Paid Time Off

Retirement Savings Plan

Professional Development Opportunities

Remote Work Stipend

Stock Options/Equity

Employee Assistance Program

Qualifications

• Over 5 years of experience designing complex B2B digital products.
• 2-3+ years of experience specifically in AI-powered, conversational design.
• Strong foundation in UX principles and interaction design.

Responsibilities

• Lead end-to-end design for AI-powered products.
• Define and execute intelligent workflows for user experiences.
• Collaborate with teams to ensure cohesive and high-quality experiences.

Skills

Product Design

AI & Conversational Design

UX Foundations

Prototyping Proficiency

Systems Thinking

Data-Informed Design

Cross-Functional Collaboration

Responsible AI & Accessibility

Education

Strong portfolio in UX design

Experience with AI product design

Tools

Figma

Prototyping Tools (e.g., Principle, ProtoPie)

Data Analysis Tools (e.g., Amplitude, Mixpanel)

Job description

Senior Product Designer (AI Experiences)

Full_time

Job Title: Senior Product Designer (AI Experiences)
Company: SmartRecruiters Inc
Location: United Kingdom (Remote)
Job Type: Full-time
Category: Product Design / UX / AI Experiences
Date Posted: 2026-01-19
Experience Level: 5-10 Years
Remote Status: Fully Remote

• Lead the end-to-end design of sophisticated AI-powered products, with a specific emphasis on conversational, generative, and multi-agent interaction experiences.
• Drive the definition and execution of intelligent workflows and complex agent orchestrations that are intuitive, highly effective, scalable, and built on trust.
• Own the complete user experience design lifecycle, from initial discovery and concept development through prototyping, user validation, and iterative improvement.
• Champion the integration of inclusive, responsible, and accessible AI design principles across all product development initiatives.

📝 Enhancement Note: This role is positioned as a senior individual contributor, requiring a strong design foundation combined with specialized expertise in AI-driven user experiences. The emphasis on "Recruiting AI Company" and the partnership with SAP suggests a focus on enterprise-level solutions within the talent acquisition domain.

📈 Primary Responsibilities

• Lead discovery initiatives for AI-driven experiences, applying systems thinking, orchestration modeling, and behavioral logic definition to complex conversational challenges and new agent development.
• Design, prototype, and validate user experiences adhering to UX best practices, SmartRecruiters' product design standards, and Design System guidelines, ensuring end-to-end ownership from concept to validation.
• Define and architect agent behaviors, including intent interpretation, decision-making, escalation protocols, hand-off procedures, and transition logic across various agents and channels.
• Craft seamless conversational systems by designing dialogue patterns, error recovery mechanisms, fallback strategies, multi-turn flows, and reusable prompt or policy templates, ensuring coherence between LLM-driven interactions and deterministic workflows.
• Develop and refine evaluation frameworks, analyzing conversation logs, sentiment, behavioral data, and outcomes to drive continuous improvement and elevate the quality of AI experiences.
• Design cross-channel experiences that maintain consistency in language, behavior, and intent across platforms such as Microsoft Teams, Slack, SMS, WhatsApp, and partner ecosystems.
• Advocate for and implement accessible, transparent, trustworthy, and human-centered AI experiences, championing patterns that support diverse users and adhere to Responsible AI and accessibility best practices.
• Develop enablement materials, including playbooks, patterns, and frameworks, and facilitate workshops to empower other teams to design and integrate their own intelligent agents.
• Collaborate closely with Product Managers, Engineering (including ML and Backend), Data Analysts, and fellow Product Designers to define use cases, refine prompts, analyze data, and ensure a cohesive, high-quality agentic and conversational experience.

📝 Enhancement Note: The detailed responsibilities highlight a need for a designer who can think holistically about complex systems, not just isolated UI elements. The emphasis on "agent behavior and orchestration" and "conversational systems" indicates a deep dive into the functional logic and dialogue design of AI interactions.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and demonstrated experience in UX design, interaction design, and AI product design are paramount.Experience: 5+ years of experience designing complex B2B digital products, with a dedicated 2-3+ years specifically focused on designing AI-powered, conversational, agentic, or multimodal experiences.

Required Skills:

• Product Design: Proven track record of end-to-end UX ownership for complex B2B digital products.
• AI & Conversational Design: 2-3+ years of direct experience designing AI-powered, conversational, agentic, or multimodal user experiences.
• UX Foundations: Solid mastery of interaction design, information architecture, usability principles, and user-centered design methodologies.
• Prototyping Proficiency: High proficiency with Figma and modern prototyping workflows, including experience with no-code or AI prototyping tools.
• Systems Thinking: Strong ability to conceptualize and design complex systems, encompassing UI, conversational layers, and agent orchestration.
• Data-Informed Design: Ability to analyze qualitative and quantitative data (e.g., conversation logs, behavioral data, sentiment analysis) to inform design decisions and drive iteration.
• Cross-Functional Collaboration: Demonstrated success in partnering closely with Product Managers, Engineers (ML, Backend), Data teams, and other Designers.
• Responsible AI & Accessibility: Familiarity with and commitment to Responsible AI principles, inclusive design, and accessibility standards (e.g., WCAG).

Preferred Skills:

• Familiarity with generative AI concepts and their application in user interfaces.
• Experience in defining and implementing evaluation frameworks for AI-driven products.
• Ability to facilitate workshops and provide consultative support for AI design.
• Understanding of prompt engineering principles and their impact on user experience.

📝 Enhancement Note: The requirement for 2-3 years specifically in AI/conversational design is a key differentiator, indicating a need for specialized skills beyond general product design. The mention of "no-code or AI prototyping tools" suggests a desire for efficiency and rapid iteration in testing AI interactions.

• End-to-End Case Studies: Showcase at least one comprehensive case study demonstrating the full lifecycle of designing an AI-driven or conversational product, detailing discovery, design, prototyping, validation, and iteration.
• System Design Examples: Include examples that illustrate your ability to design complex systems, such as agent orchestration diagrams, multi-agent interaction flows, or conversational architecture maps.
• Prototyping & Validation: Present interactive prototypes (preferably Figma links or embedded demos) and clearly articulate the user validation methods used to refine the design, including data-driven insights.
• AI/Conversational Focus: Highlight specific projects that demonstrate your expertise in conversational design, prompt engineering, agent behavior definition, or the design of generative AI experiences.
• B2B Product Experience: Ensure examples reflect experience with complex B2B digital products, showcasing an understanding of enterprise user needs and workflows.

Process Documentation:

• Workflow Design & Optimization: Demonstrate how you've mapped out and optimized complex user workflows, particularly those involving AI or automated agents.
• Implementation & Automation: Provide examples of how your designs were implemented, focusing on the integration of AI components or conversational logic.
• Measurement & Analysis: Show how you've defined success metrics, collected data (e.g., conversation logs, user feedback), and used it to iterate and improve the user experience.

📝 Enhancement Note: For an AI-focused design role, the portfolio should strongly emphasize the candidate's ability to think about and design complex, dynamic interactions beyond static interfaces. Demonstrating the process of defining agent behavior and conversational logic will be crucial.

Salary Range: Based on industry benchmarks for Senior Product Designers with 5-10 years of experience, specializing in AI/Conversational Design, in the UK market for a fully remote role, the estimated salary range is £70,000 - £100,000 per annum. This range accounts for the specialized AI experience and senior-level responsibilities within a tech company backed by SAP.

• Competitive Salary: Reflecting experience and specialized skills in AI product design.
• Comprehensive Health Coverage: Including medical, dental, and vision insurance, tailored for remote employees.
• Generous Paid Time Off: Including vacation, sick leave, and public holidays, promoting work-life balance.
• Retirement Savings Plan: Such as a pension scheme with potential company matching contributions.
• Professional Development: Opportunities for continuous learning, including access to training, conferences, and certifications related to AI and design.
• Remote Work Stipend: Potential for a home office setup allowance or recurring stipend to support a productive remote work environment.
• Stock Options/Equity: In line with a senior role at a growing tech company.
• Employee Assistance Program (EAP): Providing confidential support for personal and professional challenges.

Working Hours: Standard full-time working hours, typically around 40 hours per week, with flexibility offered to accommodate remote work across different time zones within the UK (e.g., GMT/BST). Adherence to core collaboration hours will be expected.

📝 Enhancement Note: The salary estimate is based on general UK tech industry data for senior roles and adjusted for the specific AI/Conversational Design specialization, which commands a premium. Benefits are inferred from typical offerings at established tech companies, especially those with a strong focus on employee well-being and professional growth.

Industry: Technology, specifically Talent Acquisition Software and Recruiting AI. As part of SAP, SmartRecruiters operates within the enterprise software sector, focusing on AI-driven solutions.Company Size: SmartRecruiters is a well-established tech company with a significant global presence, likely employing hundreds to thousands of individuals. Its acquisition by SAP further solidifies its position as a major player.Founded: SmartRecruiters was founded in 2010. This history indicates a mature company that has evolved with the recruitment technology landscape, now heavily investing in AI.

Team Structure:

• The Product Design team likely operates as a centralized function, supporting various product pods or squads focused on specific areas of the hiring platform.
• This Senior Product Designer role reports into a Design Lead or Head of Product Design, with close collaboration across Product Management, Engineering (including AI/ML specialists), and Data Science.
• Cross-functional collaboration is emphasized, with designers working intimately within agile development teams to bring AI experiences to life.

Methodology:

• Data-Driven Design: A strong emphasis on using data analytics, user feedback, and AI-specific metrics to inform design decisions and iterate on experiences.
• Agile Development: Designs are developed and refined within agile workflows, requiring close partnership with engineering for iterative implementation.
• Systems Thinking & Orchestration: A core methodology for designing how AI agents interact with each other and with users across the platform.
• User-Centricity: While leveraging AI, the focus remains on delivering intuitive, effective, and trustworthy experiences for users.

📝 Enhancement Note: Being an "SAP company" signifies a commitment to enterprise-grade solutions and potentially a more structured, data-driven approach to product development compared to a startup. The company's values ("commit and dig deep," "grit," "curiosity," "determination") suggest a high-performance, results-oriented culture.

Operations Career Level: This is a Senior Individual Contributor role, signifying a high level of expertise and autonomy. It's a critical position for shaping the future of AI experiences within the company, requiring a blend of deep design craft and strategic thinking.Reporting Structure: The Senior Product Designer will likely report to a Design Manager or Head of Product Design. They will work within cross-functional product teams, collaborating closely with Product Managers, Engineering Leads, and AI/ML specialists.Operations Impact: The role has a direct impact on the core AI strategy and product offerings of SmartRecruiters. By designing intuitive and effective AI experiences, this role will influence user adoption, operational efficiency for enterprise clients, and the company's competitive positioning in the AI-powered talent acquisition market.

• Specialization Deepening: Opportunity to become a leading expert in AI, conversational, and agentic design within the company and the broader recruitment tech industry.
• Leadership & Mentorship: Potential to mentor junior designers, lead design initiatives for new AI features, and contribute to defining design standards and best practices for AI experiences.
• Cross-Functional Influence: Grow influence across Product, Engineering, and AI research teams, shaping the strategic direction of AI product development.
• Career Progression: Path towards Principal Product Designer roles, Design Lead positions, or even moving into Product Management with a strong AI focus, leveraging deep product and user understanding.

📝 Enhancement Note: The "Senior" title and focus on AI experiences suggest this role is crucial for the company's strategic direction. Growth opportunities will likely involve increasing scope, influence, and specialization in cutting-edge AI design.

Office Type: SmartRecruiters operates with a "remote-friendly" culture, indicating a distributed workforce. While they may have physical offices, the emphasis is on enabling effective work regardless of location.Office Location(s): The role is specified as remote within the United Kingdom. SmartRecruiters also has offices in various global locations, including Poland.Workspace Context:

• Collaborative Digital Environment: Expect a highly digital and collaborative workspace, leveraging tools like Slack, Zoom, and project management software for communication and teamwork.
• Access to Tools: Designers will have access to industry-standard design and prototyping tools (Figma), as well as potentially specialized AI prototyping tools.
• Cross-Team Interaction: Frequent interaction with Product Managers, Engineers, Data Analysts, and other designers, fostering a team-oriented approach to problem-solving.

Work Schedule: A standard full-time schedule (approximately 40 hours/week) is expected, with flexibility to accommodate remote work and collaboration across UK time zones. Core hours will likely be established for team syncs and critical meetings.

📝 Enhancement Note: The "remote-friendly" aspect suggests a mature approach to distributed work, with established processes and tools to support remote collaboration, rather than simply allowing remote work as an exception.

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on relevant experience in product design and AI/conversational design.
• Portfolio Review & Discussion: A dedicated session to walk through your portfolio, discussing specific case studies, your design process, and your experience with AI-driven products. Be prepared to articulate your design decisions, the challenges you faced, and the outcomes.
• Design Challenge/Exercise: You may be given a take-home design challenge or an on-the-spot exercise to assess your problem-solving skills, design thinking, and ability to apply your expertise to a relevant scenario (e.g., designing an AI interaction for a recruitment workflow).
• Cross-Functional Interviews: Interviews with Product Managers, Engineering Leads, and potentially other designers to assess collaboration skills, technical understanding, and cultural fit.
• Final Interview: Potentially with a senior leader (e.g., Head of Product, VP of Design) to discuss strategic alignment and overall fit.
• Highlight AI/Conversational Projects: Prioritize case studies that specifically showcase your experience with AI, conversational interfaces, agent behavior, or generative AI.
• Detail Your Process: Clearly articulate your end-to-end design process for each project, emphasizing discovery, user research, problem definition, ideation, prototyping, testing, and iteration.
• Showcase Systems Thinking: Use diagrams or explanations to illustrate how your designs fit into larger systems, especially regarding agent orchestration and multi-agent interactions.
• Quantify Impact: Where possible, include metrics or qualitative feedback that demonstrate the impact of your designs on user behavior, business goals, or operational efficiency.
• Be Prepared for Deep Dives: Anticipate questions about your decision-making, trade-offs considered, and how you handle ambiguity in AI design.
• Understand the Domain: Familiarize yourself with SmartRecruiters' platform and the broader talent acquisition industry, especially how AI is being applied.
• Focus on AI Interaction: If given a challenge, focus on designing the AI interaction itself—how a user would engage with it, what the AI's role is, and how it supports the user's goal.
• Structure Your Approach: Clearly outline your approach to the challenge, from understanding the problem to proposing a solution, including your rationale.
• Consider Ethical Implications: Be ready to discuss responsible AI principles, inclusivity, and trustworthiness in your proposed solution.

📝 Enhancement Note: The emphasis on portfolio review and a potential design challenge indicates that practical demonstration of skills is highly valued. Candidates should be prepared to discuss their specific contributions and thought processes in detail.

Primary Tools:

• Figma: Essential for UI/UX design, wireframing, prototyping, and collaboration.
• Prototyping Tools: Proficiency with advanced prototyping features within Figma or other tools (e.g., Principle, ProtoPie) for interactive AI experiences.
• AI Prototyping Tools: Experience with tools that facilitate the design and testing of conversational or generative AI interactions (specific tools may vary, but understanding common paradigms is key).
• Collaboration Platforms: Slack, Microsoft Teams, Zoom for real-time communication and virtual meetings.
• Project Management Software: Tools like Jira, Asana, or Trello for managing design tasks within agile workflows.

Analytics & Reporting:

• Data Analysis Tools: Familiarity with tools to analyze user behavior, conversation logs, and performance metrics (e.g., Amplitude, Mixpanel, Looker, or internal BI tools).
• A/B Testing Platforms: Experience with platforms to test design variations and measure impact.

CRM & Automation:

• CRM Systems: Understanding of how AI experiences integrate with CRM platforms like Salesforce, especially within a B2B context.
• Automation Concepts: Familiarity with workflow automation principles relevant to enterprise software.

📝 Enhancement Note: While Figma is explicitly mentioned, the inclusion of "no-code or AI prototyping tools" suggests an openness to experimentation and rapid iteration specific to AI interactions, which might include tools for designing chatbot flows or generative AI prompts.

Operations Values:

• Commitment & Grit: A dedication to seeing projects through, tackling challenges head-on, and persevering to achieve excellence.
• Curiosity & Drive for Excellence: A constant desire to learn, explore new possibilities in AI design, and push the boundaries of what's possible.
• Collaboration & Trust: Fostering an environment where team members trust each other, communicate openly, and work together towards common goals.
• Determination & Winning Together: A collective drive to succeed, with an understanding that success is achieved through unified effort and mutual support.
• Respect & Empowerment: Valuing each team member's contribution and providing them with the autonomy and resources to perform their best work.
• Integrated within Product Teams: Designers are embedded within cross-functional squads, working closely with PMs and Engineers on a daily basis.
• Data-Informed Discussions: Collaboration is often driven by data analysis and user insights, leading to objective discussions about design trade-offs and improvements.
• Proactive Communication: Encouraging open and frequent communication through tools like Slack and regular sync meetings to ensure alignment and address issues promptly.
• Design Critiques & Workshops: A culture of constructive feedback through design reviews and collaborative workshops to refine ideas and ensure high-quality outcomes.

📝 Enhancement Note: The company's stated values ("commit and dig deep," "grit," "curiosity," "determination," "trust") are strong indicators of a high-performance, results-oriented culture that values collaboration and continuous improvement.

• Designing for Ambiguity: AI, especially generative AI and multi-agent systems, can be inherently unpredictable. Designing for these dynamic systems requires robust error handling, transparency, and clear guardrails.
• Balancing AI Capabilities with User Needs: Ensuring that AI features genuinely solve user problems and enhance workflows, rather than being a novelty, requires deep user understanding and strategic product thinking.
• Maintaining Consistency Across Channels and Agents: Designing coherent experiences that function seamlessly across various platforms (Teams, Slack, etc.) and between different AI agents presents a significant orchestration challenge.
• Ensuring Trust and Responsibility: Building user trust in AI systems is paramount. This involves designing for transparency, fairness, and ethical considerations, especially in sensitive areas like recruiting.
• Scaling AI Design Practices: Developing frameworks and processes that enable other teams to effectively design and integrate their own AI agents and experiences.
• Cutting-Edge AI Design: Deep dive into the latest advancements in conversational AI, generative models, and multi-agent systems, applying them to real-world enterprise problems.
• Industry Conferences & Certifications: Opportunities to attend leading UX and AI design conferences and pursue relevant certifications to stay at the forefront of the field.
• Mentorship Programs: Access to senior design leaders and AI experts within SmartRecruiters and SAP for guidance and skill development.
• Cross-Disciplinary Exposure: Working closely with AI researchers, ML engineers, and data scientists to gain a deeper understanding of the underlying technologies and their design implications.

📝 Enhancement Note: The challenges inherent in designing AI experiences are significant and require a unique skill set. The growth opportunities are geared towards becoming a leader in this specialized and rapidly evolving field.

Strategy Questions:

• "Describe a complex AI-driven system you designed. What were the key challenges in orchestrating agent behaviors and conversational flows, and how did you address them?" (Focus on systems thinking, problem-solving, and AI-specific design)
• "How do you ensure that AI experiences are trustworthy, transparent, and inclusive? Walk us through a specific example where you applied these principles." (Focus on Responsible AI, user trust, and ethical considerations)
• "Imagine we want to introduce a new AI agent to help recruiters screen resumes. What would be your process for designing this experience, from discovery to validation, considering both the recruiter and candidate perspectives?" (Focus on end-to-end process, user empathy, and AI application)

Company & Culture Questions:

• "What excites you about SmartRecruiters' mission to transform hiring with AI, and how do you see your role contributing to that vision?" (Demonstrate research and alignment with company goals)
• "How do you approach collaboration with Product Managers and Engineers, especially when dealing with the complexities of AI development and potential design trade-offs?" (Highlight collaboration style and experience with cross-functional teams)
• "How do you measure the success of an AI-driven user experience, and what metrics have you used in the past?" (Showcase data-driven approach and understanding of AI performance indicators)
• Tell a Story: For each case study, frame it as a narrative: the problem, your role and process, the solutions you designed, the challenges you overcame, and the impact achieved.
• Focus on "Why": Be ready to explain the rationale behind your design decisions, especially concerning AI interactions, agent behavior, and conversational design.
• Demonstrate AI Expertise: Clearly articulate your specific contributions to AI features, your understanding of conversational design patterns, and how you incorporated responsible AI principles.
• Interactive Walkthrough: If possible, use interactive prototypes to showcase the user flow and experience, rather than static mockups. Be prepared to answer questions on the fly.
• Address Potential Challenges: Proactively discuss any challenges encountered (e.g., technical limitations, user skepticism) and how you navigated them.

📝 Enhancement Note:

• Interview preparation should heavily emphasize the candidate's ability to articulate their AI design process, demonstrate systems thinking, and showcase their understanding of responsible AI principles. The portfolio is the primary tool for this demonstration.

To apply for this operations position:

• Submit your application through the SmartRecruiters careers portal via the provided link.
• Portfolio Customization: Tailor your portfolio to prominently feature your most relevant AI, conversational, and B2B product design projects. Ensure case studies clearly articulate your process, challenges, and the impact of your work, especially highlighting your experience with agent behavior and multi-agent interactions.
• Resume Optimization: Update your resume to emphasize your 5+ years of B2B product design experience and, crucially, your 2-3+ years of specialized experience in AI-powered, conversational, or agentic design. Use keywords from the job description such as "AI Experiences," "Conversational Design," "Systems Thinking," and "Responsible AI."
• Interview Preparation: Practice articulating your design process, especially for AI-driven products. Prepare to discuss your portfolio in detail, focusing on your decision-making rationale, the trade-offs you considered, and how you ensure trustworthiness and inclusivity in AI experiences. Be ready for a potential design challenge.
• Company Research: Thoroughly research SmartRecruiters, its AI initiatives, its product offerings in talent acquisition, and its company culture and values. Understand the impact of SAP's acquisition and how AI is central to their strategy.

⚠️ Important Notice:

This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details, particularly regarding salary and specific benefits, should be verified directly with the hiring organization before making application decisions.

Application Requirements

Candidates should have over 5 years of experience in designing complex B2B digital products, with a strong focus on AI-powered and conversational experiences. Proficiency in Figma and a solid understanding of UX principles are essential.