Senior Product Designer (AI Experiences)

📍 Job Overview

Job Title: Senior Product Designer (AI Experiences)

Company: SmartRecruiters Inc

Location: United Kingdom

Job Type: Full-time

Category: Product Design / AI Experiences

Date Posted: 2026-01-22

Experience Level: 5-10 Years

Remote Status: Remote OK

🚀 Role Summary

• Lead the end-to-end design of complex AI-powered products, with a specific focus on conversational, generative, and multi-agent experiences.

• Drive the definition and execution of intelligent workflows and agent interactions that are intuitive, effective, scalable, and trustworthy within the SmartRecruiters platform.

• Partner closely with Product Management, Engineering, and Data Science to translate AI capabilities into seamless user experiences.

• Own the design process from discovery and ideation through prototyping, validation, and iteration, ensuring a high bar for AI experience quality.

• Contribute to building foundational design patterns and frameworks that enable other teams to design and integrate their own AI agents.

📝 Enhancement Note: This role is highly specialized, focusing on the emerging field of AI-driven user experiences within a B2B SaaS context. The emphasis on "intelligent workflows," "multi-agent interactions," and "agent behaviors" indicates a need for a designer who can think systemically about complex, automated processes and human-AI collaboration. The mention of "conversational systems," "generative AI," and "agent-to-agent experiences" points towards a need for expertise in areas like natural language processing (NLP) interfaces and complex orchestration logic.

📈 Primary Responsibilities

• Spearhead discovery initiatives to define AI-driven experiences, including conversational challenges, broader product features, and new agent functionalities.

• Apply systems thinking, orchestration modeling, behavioral logic definition, conversational evaluation, and multi-agent flow exploration during the discovery phase.

• Take ownership of end-to-end experience design, creating, prototyping, and validating solutions that adhere to UX best practices, SmartRecruiters' product design standards, and Design System guidelines.

• Define agent behaviors, including intent interpretation, decision-making processes, escalation protocols, hand-off mechanisms, and transition logic.

• Design and refine conversational systems, focusing on dialogue patterns, error recovery, fallback strategies, multi-turn conversations, and reusable prompt templates.

• Ensure coherence and natural language flow across LLM-driven interactions and deterministic workflows.

• Develop and evolve evaluation frameworks for AI experiences, analyzing conversation logs, sentiment, behavioral data, and outcomes to drive continuous improvement.

• Design cross-channel experiences that maintain consistency across platforms like Microsoft Teams, Slack, SMS, WhatsApp, and other partner ecosystems.

• Champion inclusive and responsible AI design, advocating for accessible, transparent, trustworthy, and human-centered AI experiences.

• Document playbooks, patterns, and frameworks to enable other teams to design and integrate AI agents into conversational experiences or operate contextually across the platform.

• Collaborate closely with Product Designers, Product Managers, Engineers, and Data Analysts to define use cases, refine prompts, analyze data, and ensure high-quality AI and conversational experiences.

📝 Enhancement Note: The responsibilities highlight a deep dive into the nuances of AI interaction design, moving beyond traditional UI/UX to encompass agent orchestration, conversational flow management, and responsible AI principles. The emphasis on "systems thinking," "behavioral logic," and "orchestration modeling" suggests a need for a designer who can map complex AI interactions and ensure these systems function cohesively and ethically.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is typically expected for senior roles, supplemented by a strong portfolio.

Experience:

• 5+ years of experience designing complex B2B digital products.

Required Skills:

• Strong systems thinking capabilities, encompassing UI, conversational, and orchestration layers of AI experiences.

• Robust background in Product Design with proven end-to-end UX ownership from concept to launch.

• Solid mastery of UI and UX foundations, including interaction design, information architecture, and usability principles.

• Proven experience collaborating effectively with Product Managers, ML and Backend Engineers, Data Scientists, and fellow Designers.

• Demonstrated experience in designing and validating complex systems involving AI, agents, or automation.

• Proficiency with Figma and modern prototyping workflows (e.g., Vibe code tools, or similar AI/no-code prototyping tools).

• Ability to analyze qualitative and quantitative data to inform and drive design decisions.

Preferred Skills:

• Experience with generative AI models and their application in user interfaces.

• Familiarity with prompt engineering techniques and their impact on AI output.

• Experience in designing for enterprise-level SaaS platforms.

• Understanding of AI evaluation metrics and their link to UX quality.

• Experience facilitating design workshops and training sessions.

📝 Enhancement Note: The qualifications emphasize a blend of traditional UX expertise with specialized skills in AI and conversational design. The requirement for "systems thinking across UI, conversational, and orchestration layers" is critical for this role, indicating a need for a designer who can conceptualize and map out complex AI interaction ecosystems, not just individual screens. The specific mention of "agentic" experiences points to designing systems where AI agents perform tasks autonomously.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end AI, conversational, and multi-agent experience flows, including detailed journey maps and interaction models.

• Provide examples of agent orchestration diagrams and behavioral logic frameworks developed for AI systems.

• Present interactive prototypes created using Figma and/or AI-specific prototyping tools that demonstrate complex AI interactions.

• Include examples of conversational flows, dialogue maps, and response patterns designed for natural language interactions.

• Demonstrate the design of prompt and policy templates integrated into product workflows.

• Showcase the design of trust, error-recovery, escalation, and transparency patterns for AI systems.

• Present evaluation frameworks with defined KPIs and success criteria used to measure AI experience quality.

• Include insights derived from conversation logs, data analysis, and user validations to illustrate iterative design processes.

Process Documentation:

• Clearly articulate the discovery process for AI-driven experiences, detailing methodologies for understanding user needs and AI capabilities.

• Document the design process for agent behavior and orchestration, illustrating how complex logic was defined and translated into user-facing interactions.

• Explain the iterative design and validation process, including how qualitative and quantitative data was used to refine conversational systems and AI features.

• Illustrate the approach to ensuring responsible AI, inclusivity, and accessibility throughout the design lifecycle.

📝 Enhancement Note: The portfolio requirements are highly specific to AI and conversational design. Candidates must demonstrate their ability to not only design user interfaces but also to conceptualize and map out the underlying logic and behaviors of AI agents and conversational systems. The emphasis on "orchestration diagrams," "behavioral logic frameworks," and "evaluation frameworks" suggests a need for a designer with a strong analytical and systems-oriented approach, capable of visualizing and detailing complex AI interactions.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer (AI Experiences) role in the United Kingdom, with 5-10 years of experience, a remote arrangement, and in a company like SmartRecruiters (an SAP company with strong financial backing), the estimated salary range would typically be between £70,000 and £100,000 per annum. This range can vary based on specific experience, the candidate's location within the UK (cost of living), and negotiation.

Benefits:

• Competitive salary and potential for performance-based bonuses.

• Comprehensive health insurance and wellness programs.

• Generous paid time off (PTO), including vacation, sick leave, and public holidays.

• Opportunities for professional development, including training, conferences, and certifications.

• Retirement savings plan (e.g., pension contributions).

• Remote work flexibility with potential stipends for home office setup.

• Access to SAP's extensive ecosystem and resources.

• Employee Assistance Program (EAP) for mental health and well-being support.

• Potential for stock options or equity in the company.

Working Hours: A standard full-time work week is typically 40 hours. While the role is remote, core working hours may be established to facilitate collaboration with global teams, particularly those in North America and Europe. Flexibility is generally expected and offered within these parameters.

📝 Enhancement Note: Salary estimation is based on industry benchmarks for senior product design roles in the UK tech sector, particularly for specialized AI/UX positions. The inclusion of SAP as a parent company suggests a robust benefits package. The estimated range reflects the seniority and specialized nature of AI experience design.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically Human Resources Technology (HR Tech) and Artificial Intelligence. As an SAP company, SmartRecruiters operates within the enterprise software sector, focusing on talent acquisition solutions.

Company Size: SmartRecruiters is a significant player in the HR Tech space, and as part of SAP, it has access to vast resources. The company itself employs a substantial number of people globally, fostering a dynamic, fast-paced environment.

Founded: SmartRecruiters was founded in 2010. Its acquisition by SAP in 2025 signifies a strategic move to enhance SAP's HR portfolio with cutting-edge AI hiring capabilities.

Team Structure:

• The Product Design team likely operates with a mix of generalist and specialist designers, with this role being a key specialist in AI Experiences.

• Designers often work in pods or squads, closely aligned with specific Product Managers and Engineering teams, fostering agile development cycles.

• There's a strong emphasis on cross-functional collaboration, with designers working hand-in-hand with Product, Engineering, Data Science, and Marketing.

Methodology:

• Data-driven decision-making is a core principle, utilizing analytics, user feedback, and A/B testing to inform product development.

• Agile methodologies are likely employed for product development, ensuring rapid iteration and continuous improvement.

• A focus on user-centered design principles, ensuring that all AI experiences are built with the end-user's needs and workflows at the forefront.

• Emphasis on building scalable and reusable design patterns and systems to ensure consistency and efficiency across the platform.

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

📝 Enhancement Note: SmartRecruiters' culture is described as values-driven, globally focused, and committed to excellence. The acquisition by SAP likely brings a blend of startup agility with enterprise-level structure and resources. The emphasis on "grit, curiosity, and a drive for excellence" suggests a high-performance environment, while "trust and determination" and "collaborative and inclusive work environment" point to a supportive team dynamic.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Individual Contributor role (Senior Product Designer) with a specialized focus on AI Experiences. It signifies a high level of expertise and autonomy in a critical and emerging area of product design. The role is expected to not only execute but also to influence and set standards for AI design across the organization.

Reporting Structure: The Senior Product Designer will likely report to a Design Lead or Head of Design. They will work closely with Product Managers, Engineering Leads, and Data Scientists within their assigned product area or AI initiative.

Operations Impact: This role has a direct impact on SmartRecruiters' core offering and future strategy. By designing intuitive and effective AI experiences, the designer will enhance the value proposition of the hiring platform, improve user efficiency, drive adoption of AI features, and ultimately contribute to faster, smarter hiring decisions for their enterprise clients. The success of AI features directly influences customer satisfaction, retention, and new customer acquisition.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in AI design, becoming a recognized leader in conversational AI, generative AI, or multi-agent systems within the company and the broader industry.

• Leadership & Mentorship: Transition into a Lead Designer role, managing a team of designers, or take on a principal/architect role, focusing on strategic design direction and technical leadership for AI initiatives.

• Cross-functional Mobility: Explore opportunities within Product Management, AI Research, or Strategy roles, leveraging their deep understanding of user needs and AI capabilities.

• Industry Influence: Contribute to industry best practices, speak at conferences, or publish work related to AI experience design.

📝 Enhancement Note: The "Senior" title and the specialized nature of AI Experiences indicate a significant impact on product strategy and customer value. Growth opportunities are geared towards deepening this specialized expertise or moving into leadership and strategic roles within the AI product space.

🌐 Work Environment

Office Type: SmartRecruiters promotes a "remote-friendly culture," indicating that while physical office spaces may exist, the primary mode of operation for this role is remote. This suggests a distributed workforce with a focus on digital collaboration tools.

Office Location(s): While the job is posted for the "United Kingdom, Remote, United Kingdom," SmartRecruiters has global offices. For a remote role within the UK, candidates can expect to work from their home office, with potential for occasional in-person meetups or team events if organized.

Workspace Context:

• Highly collaborative digital environment leveraging tools like Slack, Zoom, Figma, and project management software.

• Access to cutting-edge design tools and potentially AI prototyping platforms.

• Opportunities to engage with a diverse, international team of designers, engineers, and product managers.

• A culture that supports deep work and focused individual contribution, balanced with strategic team collaboration.

Work Schedule: The role is full-time, typically around 40 hours per week. Given the remote nature and global presence of SmartRecruiters and SAP, flexibility in working hours is likely to accommodate collaboration across different time zones (e.g., UK, European, and potentially US teams). A core set of overlapping hours for team syncs will likely be expected.

📝 Enhancement Note: The "remote-friendly" aspect is key, suggesting a mature remote work infrastructure and culture. Candidates should be comfortable with asynchronous communication and leveraging digital tools for all aspects of their work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, looking for alignment with the core requirements, especially experience in AI and conversational design.

• Portfolio Presentation: This is a critical stage. Candidates will be asked to present a selection of their work, focusing on AI-driven, conversational, or agentic experiences. The presentation should demonstrate their end-to-end design process, problem-solving skills, and impact.

• Design Challenge/Case Study: Candidates might be given a design challenge or asked to deep-dive into a specific case study from their portfolio, requiring them to articulate their thought process, trade-offs, and outcomes in detail.

• Team/Stakeholder Interviews: Interviews with Product Managers, Engineers, and potentially other Designers to assess technical skills, collaboration style, and cultural fit. Questions will likely probe problem-solving approaches, system design thinking, and handling of ambiguity.

• Final Interview: May involve senior leadership or hiring managers to discuss strategic alignment and overall fit.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your experience with AI, conversational design, and complex B2B systems. Prioritize projects where you can articulate the "why," "how," and "what" of your design decisions.

• Structure Your Case Studies: For each project, clearly outline the problem statement, your role and responsibilities, the design process (discovery, ideation, prototyping, validation), key challenges, design solutions, and quantifiable outcomes or impact.

• Highlight AI Specifics: Emphasize how you approached designing for AI. Discuss your process for defining agent behaviors, conversational flows, prompt design considerations, and handling AI limitations or ethical concerns.

• Showcase Systems Thinking: Use diagrams or flowcharts to illustrate complex interactions, agent orchestration, or multi-agent systems. Explain how your design fits into a larger ecosystem.

• Demonstrate Data-Driven Approach: Explain how you used qualitative and quantitative data (user feedback, analytics, conversation logs) to inform your design iterations and measure success.

• Prepare for Questions: Anticipate questions about your design choices, trade-offs, collaboration, and how you handle ambiguity in AI product development.

Challenge Preparation:

• Think Systemically: If given a design challenge, focus on understanding the entire system, including user needs, AI capabilities, business goals, and potential constraints.

• Articulate Your Process: Be prepared to walk through your thought process step-by-step, explaining your assumptions, research methods, and design decisions.

• Focus on AI Nuances: Consider how AI elements (e.g., natural language understanding, generative responses, agent autonomy) would be incorporated and managed within the challenge.

• Embrace Ambiguity: AI design often involves unknowns. Demonstrate your ability to navigate uncertainty, make informed decisions, and iterate based on feedback and data.

📝 Enhancement Note: The emphasis on a "portfolio presentation stage" is critical. This suggests that the hiring team values a visual and narrative demonstration of a candidate's design process and problem-solving abilities, especially in the complex domain of AI experiences, over a traditional resume alone.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration.

• AI Prototyping Tools: Specific tools for simulating conversational AI, agent behavior, or generative outputs (e.g., Vibe, Botmock, Voiceflow, or custom internal tools).

• Collaboration Tools: Slack, Microsoft Teams, Zoom for communication and virtual meetings.

• Project Management: Tools like Jira, Asana, or Trello for managing design tasks and workflows.

Analytics & Reporting:

• Product Analytics Platforms: Tools like Amplitude, Mixpanel, or Pendo to track user behavior, feature adoption, and AI interaction metrics.

• Data Analysis Tools: SQL, Python, or R for analyzing conversation logs, user data, and deriving insights.

• BI Tools: Tableau, Power BI, or Looker for visualizing data and creating dashboards.

CRM & Automation:

• CRM Systems: While not directly a designer's tool, understanding how AI experiences integrate with CRM (like Salesforce) and HRIS systems is beneficial.

• Workflow Automation Tools: Familiarity with concepts of workflow automation that AI can enhance.

• Integration Platforms: Understanding how different systems (e.g., AI models, backend services, user interfaces) connect.

📝 Enhancement Note: Proficiency in Figma is a given for product designers. The specific mention of "AI prototyping tools" and the need to analyze "conversation logs" and "behavioral data" point to a requirement for tools and skills beyond standard UI design, leaning into the technical and analytical aspects of AI product development.

👥 Team Culture & Values

Operations Values:

• Commitment and Grit: Tackling complex challenges in AI design with determination and a drive to find solutions.

• Curiosity and Excellence: Continuously exploring new AI capabilities and striving for the highest quality in user experiences.

• Trust and Determination: Building reliable AI systems and fostering collaborative relationships within the team.

• Data-Driven Approach: Using insights from user data and AI performance to guide design decisions and improvements.

• Efficiency and Optimization: Designing AI experiences that streamline workflows and enhance productivity for users.

• Inclusivity and Responsibility: Championing accessible, ethical, and human-centered AI design.

Collaboration Style:

• Cross-functional Integration: Active partnership with Product, Engineering, and Data Science teams to ensure AI designs are technically feasible, strategically aligned, and meet user needs.

• Open Communication: Encouraging transparent feedback and open dialogue about AI design challenges and opportunities.

• Knowledge Sharing: Contributing to the team's collective understanding of AI design best practices through documentation, workshops, and peer reviews.

• Iterative Experimentation: A willingness to experiment with new AI approaches and iterate designs based on learnings and user validation.

📝 Enhancement Note: The company values emphasize a proactive, high-achieving, and collaborative culture. For an AI designer, this translates to embracing the complexities of AI, maintaining a high standard for user experience, and working effectively with technical and product teams to bring innovative AI solutions to life.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI Ambiguity: AI capabilities are rapidly evolving, and defining concrete, user-friendly experiences can be challenging. This role requires comfort with uncertainty and the ability to define clear design frameworks for emergent technologies.

• Balancing Innovation with Usability: Designing cutting-edge AI experiences while ensuring they remain intuitive, trustworthy, and accessible for a broad range of B2B users.

• Ethical AI Design: Ensuring AI experiences are responsible, fair, transparent, and avoid bias, which requires careful consideration of potential pitfalls and proactive mitigation strategies.

• Cross-Team Alignment: Effectively communicating complex AI design concepts and driving consensus across diverse teams (Product, Engineering, Data Science, Legal) with different priorities and technical understanding.

• Measuring AI UX Impact: Developing robust methods to evaluate the effectiveness and user satisfaction of AI-driven features, moving beyond traditional UX metrics.

Learning & Development Opportunities:

• Specialized AI Training: Access to internal and external training on the latest AI technologies, machine learning concepts, and advanced conversational design techniques.

• Industry Conferences: Opportunities to attend leading AI and UX conferences to stay abreast of industry trends and network with peers.

• Mentorship: Potential mentorship from senior AI/UX leaders within SmartRecruiters or SAP, offering guidance on career progression and technical development.

• Contribution to Design System: Opportunity to define and build new AI design patterns and components for the company's design system, influencing future product development.

• Cross-functional Exposure: Gaining deeper insights into ML engineering, data science, and product strategy through close collaboration.

📝 Enhancement Note: The challenges are inherent to the cutting-edge nature of AI product design. Candidates should view these as opportunities to innovate and develop new best practices in the field. The growth opportunities are geared towards deepening specialized AI design expertise and expanding influence within the organization.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI-driven experience you designed. Walk us through your process from initial concept to validation, focusing on how you handled agent behavior, conversational flow, and user trust." (Focus on process, systems thinking, and AI specifics)

• "How do you approach designing for ambiguity in AI products? Provide an example of a time you had to define a user experience with uncertain AI capabilities." (Focus on problem-solving and navigating uncertainty)

• "What are your key considerations for ensuring responsible and inclusive AI design? How do you integrate these principles into your design workflow?" (Focus on ethics, accessibility, and proactive design)

Company & Culture Questions:

• "What excites you about SmartRecruiters' mission and its use of AI in the hiring space?" (Demonstrate research and genuine interest)

• "How do you see your expertise in AI experiences contributing to our values of 'Commitment and Grit' and 'Curiosity and Excellence'?" (Align your skills with company values)

Portfolio Presentation Strategy:

• Tell a Story: Frame your portfolio pieces as narratives, highlighting the problem, your approach, and the impact.

• Focus on AI Nuances: For each AI project, explicitly detail your role in defining agent behavior, conversational logic, prompt design, and how you addressed trust and transparency.

• Show, Don't Just Tell: Use visuals, diagrams, and interactive prototypes to illustrate complex interactions and systems.

• Quantify Impact: Whenever possible, present metrics that demonstrate the success of your designs (e.g., improved conversion rates, reduced task completion time, increased user satisfaction).

• Be Prepared for Deep Dives: Anticipate detailed questions about your technical choices, design trade-offs, and how you handled specific challenges within your AI projects.

📝 Enhancement Note: The interview preparation emphasizes demonstrating a deep understanding of AI design principles, systems thinking, and the ability to translate complex technical capabilities into user-centric experiences. The portfolio presentation is highlighted as a key opportunity to showcase this expertise.

📌 Application Steps

To apply for this Senior Product Designer (AI Experiences) position:

• Submit your application through the provided link on the SmartRecruiters careers page.

• Tailor your Resume: Ensure your resume clearly highlights your experience with AI, conversational design, complex B2B products, and your proficiency with Figma and other relevant tools. Use keywords from the job description.

• Prepare Your Portfolio: Curate 2-3 of your strongest projects that best demonstrate your AI/conversational design expertise. Focus on projects where you can articulate your process, role, and impact. Ensure your portfolio is easily accessible online (e.g., personal website, Behance, PDF).

• Practice Your Presentation: Rehearse your portfolio presentation, focusing on clearly explaining your design process for AI experiences, the challenges you faced, your solutions, and the outcomes. Be ready to answer in-depth questions.

• Research SmartRecruiters & SAP: Understand the company's mission, its products, and its approach to AI. Familiarize yourself with their company values and recent news, especially concerning their integration with SAP.

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