Senior Product Designer (AI Experiences)

📍 Job Overview

Job Title: Senior Product Designer (AI Experiences) Company: SmartRecruiters Inc Location: United Kingdom (Remote) Job Type: Full-time Category: Product Design / User Experience (UX) / AI Product Development Date Posted: January 21, 2026 Experience Level: Senior (5-10 years) Remote Status: Fully Remote

🚀 Role Summary

• This role is focused on designing cutting-edge AI-powered experiences, with a strong emphasis on conversational and multi-agent interactions within a B2B SaaS environment.
• The Senior Product Designer will own the end-to-end design lifecycle for AI-driven features, from initial discovery and conceptualization through prototyping, user validation, and iterative improvement.
• A key aspect of this position involves defining and shaping agent behaviors, orchestration logic, and conversational systems to ensure intuitive, effective, scalable, and trustworthy user interactions.
• The role requires a strategic thinker with a deep understanding of user experience principles, AI capabilities, and the ability to translate complex technical concepts into user-friendly designs.

📝 Enhancement Note: The "AI Experiences" specialization within Product Design indicates a focus on emerging technologies like Generative AI, Large Language Models (LLMs), and agent-based systems, requiring a blend of traditional UX skills with an understanding of AI's unique design challenges and opportunities. The role's focus on "multi-agent interactions" suggests designing systems where multiple AI agents collaborate or interact with users, demanding sophisticated systems thinking and orchestration design.

📈 Primary Responsibilities

• Lead the end-to-end discovery process for AI-driven experiences, including conversational challenges, broader product features, and new agent functionalities, applying systems thinking and behavioral logic definition.
• Design, prototype, and validate AI experiences, ensuring adherence to UX best practices, SmartRecruiters product design standards, and the company's Design System.
• Define and document agent behaviors, including intent interpretation, decision-making processes, escalation protocols, and handoff mechanisms across various channels.
• Design sophisticated conversational systems, including dialogue patterns, error recovery strategies, fallback mechanisms, multi-turn flows, and reusable prompt or policy templates.
• Develop and refine evaluation frameworks for AI experiences, analyzing conversation logs, sentiment, and behavioral data to drive continuous improvement and iterate on design quality.
• Create cohesive cross-channel experiences that maintain consistency in language, behavior, and intent across platforms such as Microsoft Teams, Slack, SMS, and WhatsApp.
• Champion accessible, transparent, trustworthy, and human-centered AI design, adhering to Responsible AI principles and best practices.
• Develop enablement materials, playbooks, and patterns to empower other teams in designing and integrating their own agents into the platform's conversational ecosystem.
• Collaborate closely with Product Managers, Engineering teams (including ML and Backend), Data Analysts, and other Product Designers to define use cases and ensure high-quality, consistent experiences.

📝 Enhancement Note: The responsibilities emphasize a proactive approach to AI design, not just user interface creation. This includes defining the "brains" of AI agents (behavior, logic) and the "voice" (conversational systems), requiring a deep dive into how AI functions and interacts, beyond traditional UI/UX. The enablement aspect suggests this role will also act as a subject matter expert, evangelizing AI design best practices internally.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is typically expected for senior-level product design roles. Experience: Minimum of 5 years of experience in designing complex B2B digital products, with a dedicated 2-3 years focusing on AI-powered, conversational, agentic, or multimodal user experiences.

Required Skills:

• Strong systems thinking capabilities, encompassing UI, conversational, and orchestration layers of complex digital products.
• Solid mastery of Product Design fundamentals, including end-to-end UX ownership, interaction design, information architecture, and usability principles.
• Proven ability to collaborate effectively with cross-functional teams, including Product Managers, Machine Learning Engineers, Backend Engineers, Data teams, and fellow Designers.
• Experience in designing and validating complex systems involving AI, intelligent agents, or automation workflows.
• Proficiency in modern design and prototyping tools, specifically Figma, and familiarity with no-code or AI prototyping tools.
• Ability to analyze qualitative and quantitative data to inform and validate design decisions.
• Deep understanding of Responsible AI principles, inclusive design methodologies, and accessibility standards.

Preferred Skills:

• Experience designing generative AI experiences or integrating LLMs into product flows.
• Familiarity with agent orchestration frameworks or multi-agent system design patterns.
• Experience with designing for enterprise-level SaaS products.
• Understanding of prompt engineering principles and their impact on user experience.
• Experience conducting user research and usability testing specifically for AI-driven features.

📝 Enhancement Note: The requirement for 2-3 years specifically in AI-powered experiences highlights the niche and in-demand nature of this skill set. The emphasis on "systems thinking across UI, conversational, and orchestration layers" indicates a need for designers who can see the whole picture of how AI agents interact with users and each other, not just individual screens.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of end-to-end AI and conversational experience design, showcasing the entire design process from problem definition to validated solution.
• Case studies detailing the design of complex systems involving AI, agents, or automation, clearly outlining the challenges, your approach, and the outcomes.
• Examples of interactive prototypes, ideally showcasing AI-driven or conversational flows, built using Figma or other relevant prototyping tools.
• Evidence of designing and implementing agent behaviors, orchestration logic, and conversational dialogue patterns.
• Projects that highlight your ability to analyze qualitative and quantitative data to inform design decisions and iterate on AI experiences.

Process Documentation:

• Case studies should clearly articulate the discovery process, including user research, competitive analysis, and problem framing for AI-specific challenges.
• Document the design process, including ideation, wireframing, prototyping, and user testing methodologies, with a focus on how these were adapted for AI experiences.
• Evidence of creating and refining evaluation frameworks and iterating based on data analysis (e.g., conversation logs, user feedback).
• Examples of designing for scale and enabling other teams, such as playbooks or pattern documentation for AI agents.

📝 Enhancement Note: For an AI-focused design role, the portfolio must go beyond static UI mockups. It should explicitly demonstrate the candidate's ability to design dynamic, interactive, and intelligent systems. Case studies detailing the "why" and "how" behind AI design decisions, including the approach to agent behavior and conversational logic, will be crucial.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer with 5-10 years of experience, specializing in AI experiences and based remotely in the United Kingdom, a competitive salary range would typically fall between £70,000 and £100,000 per annum. This estimate is based on current market data for senior UX/Product Design roles in the UK tech sector, considering the specialized AI skill set, remote work flexibility, and the company's standing as a significant player in enterprise HR tech.

Benefits:

• Competitive salary and potential for performance-based bonuses or stock options.
• Comprehensive health insurance package, including medical, dental, and vision coverage.
• Generous paid time off (PTO), including vacation, sick leave, and public holidays.
• Professional development opportunities, including access to training, conferences, and online courses to enhance AI and design skills.
• Remote-friendly work environment with potential stipends for home office setup.
• Company-provided equipment and software licenses.
• Retirement savings plan (e.g., pension contributions).
• Opportunities for internal mobility and career advancement within SmartRecruiters and SAP.
• Employee Assistance Program (EAP) for mental health and well-being support.

Working Hours: The standard working hours are typically 40 hours per week. Given the remote nature and international team structure, a degree of flexibility may be expected, particularly for cross-time zone collaboration, but core working hours will likely align with UK business hours for team cohesion.

📝 Enhancement Note: The salary range is an estimate for the UK market. Specific compensation will depend on the candidate's exact experience, interview performance, and precise location within the UK. The benefits listed are standard for senior roles in reputable tech companies, with a particular emphasis on professional development given the rapidly evolving AI landscape.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company operates in the Human Resources Technology (HR Tech) and Talent Acquisition software sector, with a strong focus on AI-driven solutions. Company Size: SmartRecruiters is a well-established tech company, now part of SAP. This suggests a large, global organization with significant resources, combined with the agility and innovation focus of a dedicated HR tech platform. Founded: SmartRecruiters was founded in 2010. Its acquisition by SAP in 2025 signifies a period of significant growth and integration, aiming to leverage AI to revolutionize hiring processes on a global scale.

Team Structure:

• The Product Design team likely operates as a central function, supporting various product lines and engineering teams.
• This Senior Product Designer role appears to be a senior individual contributor position, potentially leading specific AI initiatives or product areas.
• Collaboration is expected to be extensive, involving close partnerships with Product Management, Engineering (particularly ML/AI specialists), Data Science, and other UX/Product Designers across the organization.

Methodology:

• SmartRecruiters emphasizes a values-driven, globally focused approach, with a commitment to "dig deep" and embrace challenges with grit and curiosity.
• The company promotes a collaborative and inclusive work environment built on trust and determination.
• A data-driven approach is evident, with responsibilities including analyzing behavioral data and conversation logs to inform design improvements.
• The focus on "automating and optimizing the entire talent acquisition process" suggests a strong emphasis on efficiency, scalability, and measurable business impact.

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

📝 Enhancement Note: Being part of SAP provides a strong foundation and global reach, while SmartRecruiters' core mission remains focused on AI-powered hiring. This hybrid structure means candidates can expect both the stability of a large enterprise and the innovation focus of a specialized tech product. The company values of "commit and dig deep," "grit," and "curiosity" suggest an environment that rewards proactive problem-solving and a willingness to tackle complex challenges.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Senior Product Designer," indicating a highly experienced individual contributor role. It requires a deep level of expertise in product design, with a specific specialization in AI and conversational experiences. The role involves end-to-end ownership, strategic thinking, and the potential to influence design standards and best practices across the organization, especially concerning AI. Reporting Structure: While not explicitly stated, senior individual contributors in design often report to a Design Lead, Director of Product Design, or Head of Design. They are expected to work autonomously on their assigned areas while collaborating closely with Product Management and Engineering leads. Operations Impact: The impact of this role is significant, as it directly shapes the user experience of SmartRecruiters' AI-powered hiring platform. By designing intuitive and effective AI interactions, this role contributes to faster, smarter hiring decisions for enterprise clients, thereby enhancing the platform's value proposition, customer satisfaction, and competitive edge. The focus on enabling other teams to build AI agents also amplifies the designer's impact across the entire product ecosystem.

Growth Opportunities:

• Specialization Deepening: Opportunity to become a recognized expert in AI product design, particularly in conversational and multi-agent systems, within the HR Tech industry.
• Leadership and Mentorship: Potential to mentor junior designers, lead design initiatives for major AI features, or influence the company's overall AI design strategy and standards.
• Cross-Functional Advancement: Exposure to Product Management, Engineering, and Data Science can open doors to broader product strategy roles or specialized AI product roles.
• SAP Integration: As part of SAP, there may be opportunities to work on larger-scale AI initiatives or explore roles within SAP's broader ecosystem.
• Skill Expansion: Continuous learning and development in cutting-edge AI technologies, design methodologies, and responsible AI practices.

📝 Enhancement Note: The "Senior" title implies more than just execution; it suggests a need for strategic input, problem-solving beyond defined tasks, and potentially influencing team direction or standards. The growth opportunities lean towards deepening expertise in a rapidly evolving field and expanding influence within a large corporate structure.

🌐 Work Environment

Office Type: The role is fully remote, indicating a distributed workforce. SmartRecruiters fosters a remote-friendly culture, suggesting that the company is well-equipped to support and integrate remote employees effectively. Office Location(s): While the role is remote within the United Kingdom, SmartRecruiters is a global company with offices in various locations (as evidenced by their website and company description). The specific location for this role is UK-wide, allowing candidates to work from any approved location within the country.

Workspace Context:

• Collaboration: Expect a highly collaborative digital environment using tools like Slack, Figma, and video conferencing for communication and design reviews.
• Tools & Technology: Access to industry-standard design software (Figma), AI prototyping tools, and internal collaboration platforms will be provided.
• Autonomy: As a senior remote designer, a high degree of autonomy and self-management is expected. The focus will be on results and impact, rather than direct supervision.

Work Schedule: The role is full-time, typically 40 hours per week. While remote, candidates will likely need to align with core UK working hours for effective team collaboration, meetings, and communication with stakeholders. Flexibility is often a benefit of remote work, but responsiveness during business hours is key.

📝 Enhancement Note: A fully remote role in the UK means candidates can benefit from location independence while working for a global tech company. The emphasis will be on asynchronous communication and effective digital collaboration tools, requiring strong organizational and communication skills from the designer.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and cultural fit.
2. Hiring Manager Interview: Discussion with the hiring manager (likely a Design Lead or Director) focusing on experience, approach to AI design challenges, and understanding of the role's responsibilities.
3. Portfolio Review & Design Challenge: This is a critical stage. Candidates will likely present their portfolio, showcasing relevant case studies. They may also be given a design challenge, possibly related to an AI or conversational design problem, to solve and present.
4. Cross-Functional Interviews: Interviews with Product Managers, Engineers, or other designers to assess collaboration skills, technical understanding, and ability to work within a team.
5. Final Interview/Offer: A final discussion, potentially with a senior leader, to confirm fit and extend an offer.

Portfolio Review Tips:

• Curate for AI & Conversation: Select 2-3 of your strongest projects that specifically highlight your experience with AI-powered products, conversational design, agent behaviors, or complex system design.
• Show the Process: For each project, clearly articulate the problem, your role, the design process (discovery, ideation, iteration, validation), the tools used, and the outcomes/impact. Emphasize how you approached the unique challenges of AI design.
• Quantify Impact: Where possible, use data to demonstrate the success of your designs (e.g., improved conversion rates, reduced error rates, increased user engagement).
• Demonstrate Systems Thinking: Clearly illustrate how your designs fit into a larger system, especially in terms of agent orchestration and cross-channel consistency.
• Prepare for Discussion: Be ready to deep-dive into your decisions, rationale, and lessons learned from each project.

Challenge Preparation:

• Understand AI Design Principles: Review core concepts of conversational design, prompt engineering, Responsible AI, and agent behavior.
• Practice Problem-Solving: Think about how you would approach a hypothetical AI design problem for a hiring platform (e.g., designing an AI assistant to help candidates find jobs, or an AI tool for recruiters to screen resumes).
• Focus on "How": Be prepared to explain your thought process and methodology for tackling the challenge, not just the final solution.

📝 Enhancement Note: The portfolio review is paramount for design roles, especially in specialized areas like AI. Candidates must showcase not just aesthetic skills but also strategic thinking, problem-solving capabilities, and a deep understanding of AI's user experience implications. The design challenge will likely test practical application of these skills.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI/UX design, prototyping, and collaboration. Proficiency is a must.
• Prototyping Tools: Experience with modern prototyping workflows, potentially including no-code tools or AI-specific prototyping platforms (e.g., Vibe, Voiceflow, or similar).
• Design Systems: Familiarity with creating, maintaining, or working within established Design Systems.

Analytics & Reporting:

• Data Analysis Tools: Ability to interpret qualitative and quantitative data from user research, conversation logs, and product analytics tools (e.g., Amplitude, Mixpanel, or internal equivalents).
• User Feedback Platforms: Experience with tools that collect and analyze user feedback.

CRM & Automation:

• AI Platforms/Frameworks: Familiarity with the concepts and potential limitations of underlying AI technologies (LLMs, conversational AI frameworks) that power the experiences being designed.
• Collaboration Tools: Proficiency in Slack, Zoom, Google Workspace, or similar for remote team communication and project management.

📝 Enhancement Note: While the job description doesn't list specific AI platforms, a strong understanding of how AI models work and their design implications is key. Figma is explicitly mentioned, highlighting its central role in the design workflow. The ability to leverage data for design iteration is also critical.

👥 Team Culture & Values

Operations Values:

• Commitment & Grit: A strong work ethic, dedication to problem-solving, and resilience in the face of complex challenges.
• Curiosity & Drive for Excellence: A proactive desire to learn, explore new AI possibilities, and continuously improve the quality of designs.
• Collaboration & Trust: Working effectively within a team, fostering open communication, and building trust with colleagues across disciplines.
• Inclusivity & Empowerment: Designing for diverse users and fostering an inclusive environment where everyone feels valued and empowered.
• Data-Driven Decision Making: Relying on data and user insights to inform design choices and measure impact.

Collaboration Style:

• Cross-Functional Partnership: Seamless collaboration with Product, Engineering, and Data teams, sharing insights and working towards common goals.
• Constructive Feedback: Openness to giving and receiving constructive critique to refine designs and improve outcomes.
• Knowledge Sharing: Willingness to share expertise, especially in AI design, and contribute to building internal best practices.
• Agile & Iterative: Embracing an iterative design process, adapting to feedback and new information quickly.

📝 Enhancement Note: The company's stated values (commit, dig deep, grit, curiosity, collaboration, trust, determination, inclusivity) suggest an environment that values hard work, intellectual curiosity, teamwork, and a focus on collective success. These values are crucial for navigating the complexities of AI product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing advancements in AI technology and applying them effectively to product design.
• Designing for Ambiguity: Working with AI models that can be unpredictable requires robust design strategies for handling ambiguity, errors, and unexpected outputs.
• Balancing Innovation with Usability: Integrating novel AI features while ensuring they remain intuitive, accessible, and valuable to enterprise users.
• Responsible AI Implementation: Ensuring designs are ethical, transparent, unbiased, and trustworthy, adhering to evolving Responsible AI guidelines.
• Cross-Platform Consistency: Maintaining a cohesive user experience for AI interactions across diverse channels and devices.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in conversational AI, prompt engineering, generative models, and multi-agent systems.
• Industry Conferences & Training: Opportunities to attend relevant AI and UX conferences, workshops, and training programs.
• SAP Resources: Access to learning resources and development programs within the broader SAP ecosystem.
• Mentorship: Potential for mentorship from experienced designers or AI specialists within SmartRecruiters or SAP.
• Influence Design Standards: Opportunity to contribute to defining and evolving company-wide standards for AI product design.

📝 Enhancement Note: The primary challenge will be navigating the cutting edge of AI. The growth opportunities are geared towards becoming a leader in this specialized field, with strong support for continuous learning and professional development.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI-powered experience you designed. What were the key challenges, your approach to orchestration and conversational design, and what was the outcome?" (Focus on demonstrating end-to-end ownership, systems thinking, and AI-specific problem-solving.)
• "How do you approach designing for AI systems that may produce unpredictable or erroneous outputs? What strategies do you employ for error handling, fallback, and user trust?" (Assess your understanding of AI limitations and mitigation strategies.)
• "Walk us through your process for evaluating the effectiveness of an AI-driven conversational experience. What metrics do you prioritize, and how do you use data for iteration?" (Evaluate your data-driven approach and understanding of UX metrics for AI.)

Company & Culture Questions:

• "Based on our company description and the role, how do you see your skills and values aligning with SmartRecruiters' mission and culture?" (Showcase research into the company's values and how you embody them.)
• "How would you collaborate with Product Managers and Engineers to define AI use cases and refine prompts for a hiring platform?" (Assess your cross-functional collaboration style and understanding of the product development lifecycle.)
• "What does 'Responsible AI' mean to you, and how have you incorporated these principles into your design work?" (Demonstrate your commitment to ethical and human-centered AI design.)

Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio to highlight AI/conversational design projects prominently. For each case study, clearly articulate the problem, your specific role, the design process, key decisions, and measurable outcomes.
• Focus on AI Nuances: Explicitly discuss your approach to agent behavior, conversational flow, prompt design, error handling, and building user trust within your AI projects.
• Showcase Prototypes: Be ready to demo interactive prototypes, especially those illustrating conversational or agentic interactions.
• Data-Driven Storytelling: Weave in data and user insights to support your design decisions and demonstrate the impact of your work.
• Be Prepared for Deep Dives: Anticipate detailed questions about your design rationale, trade-offs, and lessons learned.

📝 Enhancement Note: Interviewers will be looking for a unique blend of traditional UX expertise and a forward-thinking understanding of AI design. Your ability to articulate complex AI concepts clearly, showcase strategic thinking, and demonstrate a human-centered approach to technology will be key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the SmartRecruiters careers portal via the provided link.
• Curate Your Portfolio: Tailor your portfolio to prominently feature 2-3 of your strongest projects related to AI-driven experiences, conversational design, or complex system interactions. Ensure each case study clearly outlines your process, role, challenges, and measurable outcomes, with a specific focus on how you addressed AI-specific design considerations.
• Optimize Your Resume: Highlight keywords such as "AI Experiences," "Conversational Design," "Product Design," "User Experience," "Figma," "Systems Thinking," "Responsible AI," and "B2B SaaS." Quantify achievements wherever possible to demonstrate impact.
• Prepare Your Narrative: Practice articulating your experience with AI design challenges, your approach to user-centered AI, and how you collaborate with technical teams. Prepare to discuss your portfolio projects in detail and your thought process for any potential design challenge.
• Research SmartRecruiters: Understand their product, their mission in AI for recruiting, and their company values. This will help you tailor your application and interview responses to demonstrate cultural fit and a genuine interest in their specific challenges.

⚠️ 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.