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 / AI Experiences
Date Posted: 2026-01-22
Experience Level: 5-10 Years
Remote Status: Fully Remote

🚀 Role Summary

• Drive the end-to-end design of cutting-edge AI-powered products, with a specific focus on conversational, generative, and multi-agent experiences within the talent acquisition domain.
• Lead discovery initiatives for AI-driven features, applying systems thinking and behavioral logic to define complex agent interactions and orchestration.
• Own the creation and validation of intuitive, effective, scalable, and trustworthy AI experiences, ensuring adherence to UX best practices and the company's Design System.
• Collaborate closely with Product Management, Engineering, Data Analysts, and other Product Designers to ensure seamless integration and high-quality delivery of AI features.
• Champion accessible, transparent, and human-centered AI design principles, ensuring responsible AI practices and inclusivity across all experiences.

📝 Enhancement Note: This role is positioned within a leading enterprise SaaS company that has recently been acquired by SAP, signaling significant growth and integration potential. The emphasis on "AI Experiences" and "multi-agent interactions" indicates a forward-thinking product strategy, requiring a designer adept at complex, emergent technologies. The "Senior" title suggests a need for leadership in design thinking and execution, with expectations to mentor and enable other teams.

📈 Primary Responsibilities

• Lead the discovery and definition of complex AI-driven experiences, including conversational interfaces, generative AI applications, and agent-to-agent orchestrations.
• Design, prototype, and validate end-to-end user experiences, ensuring intuitive, effective, and scalable AI interactions across various touchpoints.
• Define and document agent behaviors, including intent interpretation, decision-making logic, escalation paths, and seamless handoffs between agents and channels.
• Craft sophisticated conversational systems, designing dialogue patterns, error recovery strategies, multi-turn conversations, and reusable prompt templates for LLM-driven interactions.
• Develop and evolve evaluation frameworks for AI experiences, analyzing conversation logs, sentiment, and behavioral data to drive continuous improvement and iteration.
• Design cross-channel experiences that maintain consistency in language, behavior, and intent across platforms such as Microsoft Teams, Slack, SMS, WhatsApp, and external ecosystems.
• Advocate for and implement accessible, transparent, trustworthy, and human-centered AI design patterns, adhering to Responsible AI and accessibility best practices.
• Create enablement materials, playbooks, and patterns to empower other teams in designing and integrating their own agents into the conversational ecosystem.
• Collaborate closely with Product Managers, Engineers, Data Analysts, and fellow Designers to define use cases, refine AI prompts, analyze data, and ensure consistent, high-quality AI experiences.
• Produce key deliverables such as end-to-end experience flows, agent orchestration diagrams, interactive prototypes, conversational maps, prompt templates, and evaluation frameworks.

📝 Enhancement Note: The responsibilities highlight a deep dive into the nuances of AI and conversational design, extending beyond traditional UI/UX. The emphasis on "agent orchestration," "behavioral logic definition," and "evaluation frameworks" suggests a need for a designer who can think systematically and analytically about AI system performance and user interaction. The enablement aspect indicates a strategic role in scaling AI design best practices across the organization.

🎓 Skills & Qualifications

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

• 5+ years of experience designing complex B2B digital products.
• 2-3+ years specifically focused on designing 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 principles, with demonstrated end-to-end UX ownership from concept to validation.
• Deep understanding of UI and UX foundations, including interaction design, information architecture, and usability principles.
• Proven experience in designing and validating complex systems involving AI, intelligent agents, or automation workflows.
• Proficiency with Figma and modern prototyping workflows, including the ability to leverage AI-specific or no-code prototyping tools.
• Ability to analyze qualitative and quantitative data to inform design decisions and iterate on AI experiences.
• Familiarity with Responsible AI principles, inclusive design methodologies, and accessibility standards.

Preferred Skills:

• Experience designing agent-to-agent interactions and multi-agent orchestration.
• Experience with generative AI models and their application in user interfaces.
• Knowledge of prompt engineering principles and their impact on user experience.
• Experience designing for cross-channel and multi-platform user journeys.
• Facilitation skills for design workshops and cross-functional collaboration sessions.
• Experience with evaluation frameworks for AI and conversational systems.

📝 Enhancement Note: The qualifications emphasize a blend of traditional UX expertise with specialized skills in AI and conversational design. The requirement for systems thinking and experience with complex AI systems indicates that candidates should be able to grasp and design intricate, multi-layered interactions. The specific mention of Figma and modern prototyping tools points to the expected technical proficiency.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end AI, conversational, and multi-agent experience flows with detailed journey maps and user scenarios.
• Include case studies demonstrating agent orchestration diagrams and behavioral logic frameworks for complex AI systems.
• Present interactive prototypes, ideally built with Figma, that illustrate the user interaction with AI features.
• Detail conversational flows, dialogue maps, and response patterns, highlighting how coherence and natural language were maintained.
• Demonstrate the application of prompt and policy templates within product workflows and their impact on user experience.
• Illustrate the design of trust, error-recovery, escalation, and transparency patterns within AI interactions.
• Present clear evaluation frameworks with defined KPIs and success criteria for AI-driven features.

Process Documentation:

• Clearly articulate the discovery process for AI-driven experiences, including methods for identifying use cases and defining agent behaviors.
• Document the design and validation process for conversational systems, including user testing methodologies and iterative improvements based on feedback.
• Explain how you incorporated Responsible AI and accessibility best practices into your design process and deliverables.
• Provide examples of enablement materials, workshops, or consultative guidance provided to other teams for designing AI experiences.

📝 Enhancement Note: The portfolio requirements are highly specific to AI and conversational design, demanding concrete examples of complex system design. Candidates must demonstrate not only visual design skills but also a deep understanding of interaction logic, AI behavior, and performance evaluation. The focus on enablement materials suggests a need to showcase mentorship and knowledge-sharing capabilities.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer with 5-10 years of experience, remote in the United Kingdom, the estimated salary range is typically between £70,000 - £100,000 per annum. This range can vary based on specific experience, skills, and the company's compensation structure.

Benefits:

• Competitive salary and potential for performance-based bonuses.
• Comprehensive health and wellness programs, including medical, dental, and vision coverage.
• Generous paid time off (PTO), including vacation, sick days, and public holidays.
• Opportunities for professional development, including training, conferences, and certifications.
• Remote-friendly work environment with potential stipends for home office setup.
• Access to company-wide learning and development resources through SAP's ecosystem.
• Employee assistance programs and mental health support.
• Potential for stock options or equity, depending on company policy.

Working Hours: Standard full-time working hours are approximately 40 hours per week, with flexibility to accommodate remote work and different time zones within the United Kingdom. Core collaboration hours will likely be established to ensure effective teamwork across the remote team.

📝 Enhancement Note: Salary is estimated based on industry benchmarks for Senior Product Designers in the UK with specialized AI experience, considering the remote aspect. The benefits package is inferred from standard offerings in tech companies, especially those with a global presence like SmartRecruiters/SAP, emphasizing growth and well-being for remote employees.

🎯 Team & Company Context

🏢 Company Culture

Industry: Human Resources Technology (HR Tech) / Recruiting Software, with a strong focus on AI integration.
Company Size: SmartRecruiters is a well-established SaaS company, now part of SAP. While specific employee numbers for SmartRecruiters as a distinct entity within SAP may vary, SAP itself is a global enterprise with hundreds of thousands of employees. SmartRecruiters' independent size is likely in the hundreds to low thousands, indicating a robust, well-resourced organization.
Founded: SmartRecruiters was founded in 2010. Its acquisition by SAP in 2025 signifies a new phase of growth and integration with a larger enterprise ecosystem.

Team Structure:

• The Product Design team is likely structured to support various product lines and feature areas, with Senior Designers acting as key individual contributors or leads for specific initiatives.
• Designers will collaborate closely with Product Management, Engineering (including ML Engineers), Data Science, and potentially other specialized AI/UX teams.
• The reporting structure for a Senior Product Designer would typically be to a Design Lead, Director of Product Design, or Head of UX.
• Cross-functional collaboration is paramount, especially in an AI-focused role, requiring tight integration with technical and product strategy teams.

Methodology:

• Data-driven design: Utilizing analytics, user feedback, and conversation logs to inform and iterate on AI experiences.
• User-centered design: Prioritizing user needs, accessibility, and trust in AI interactions.
• Systems thinking: Designing holistic AI experiences that consider all components, interactions, and potential emergent behaviors.
• Agile development processes: Working within sprints and iterative cycles to deliver features and improvements.
• Design System adherence: Maintaining consistency and scalability through established design patterns and components.

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

📝 Enhancement Note: The company culture is described as values-driven, globally focused, and committed to excellence, grit, and collaboration. Being part of SAP suggests a blend of startup agility with enterprise-level stability and resources. The emphasis on inclusivity and employee well-being is a significant cultural indicator for potential candidates.

📈 Career & Growth Analysis

Operations Career Level: This role represents a Senior Individual Contributor position within the Product Design function, specializing in a high-demand area of AI and conversational interfaces. It requires a significant level of autonomy, strategic thinking, and the ability to influence product direction.
Reporting Structure: The Senior Product Designer will likely report to a Design Lead or Director of Product Design, with close collaboration across Product Management and Engineering teams. They may also have opportunities to mentor junior designers or lead design initiatives within specific product areas.
Operations Impact: The role directly impacts the core product offering by enhancing the intelligence and user-friendliness of SmartRecruiters' platform. By designing superior AI experiences, this role contributes to increased user adoption, efficiency gains for recruiters and candidates, and a stronger competitive market position for the company, ultimately driving revenue and customer satisfaction.

Growth Opportunities:

• Specialization: Deepen expertise in AI/ML UX, conversational design, prompt engineering, and multi-agent systems.
• Leadership: Transition into a Design Lead or Management role, overseeing teams and strategic design initiatives.
• Cross-functional Influence: Become a key advisor on AI product strategy and user experience across the organization.
• Industry Recognition: Contribute to innovative AI product design that could become industry benchmark.
• SAP Ecosystem: Leverage the vast resources and opportunities within SAP for broader career development and exposure to enterprise-level product design.

📝 Enhancement Note: The "Senior" designation and the focus on AI experiences point to a role with significant impact and potential for career advancement. The integration with SAP opens up a wider array of growth trajectories beyond traditional product design, potentially into strategic AI product leadership or cross-organizational initiatives.

🌐 Work Environment

Office Type: Fully Remote. This indicates a distributed workforce where collaboration and communication are primarily conducted through digital tools.
Office Location(s): While the role is remote, the primary location for this position is the United Kingdom, suggesting that candidates are expected to be based within the UK. Germany is also listed as a remote option, indicating potential flexibility within the EU for remote roles.

Workspace Context:

• A digital-first workspace, relying heavily on collaboration platforms (e.g., Slack, Teams), video conferencing, and project management tools.
• Access to cutting-edge design and AI prototyping tools is expected, facilitating remote collaboration and iteration.
• Opportunities for virtual team-building activities and informal digital "water cooler" moments to foster connection.
• A focus on asynchronous communication to accommodate different working styles and schedules within the remote team.

Work Schedule: Approximately 40 hours per week, with flexibility inherent in a remote role. Emphasis will be placed on achieving outcomes and meeting project deadlines rather than strict adherence to office hours. Core collaboration times will likely be established to ensure effective teamwork and communication within the UK and potentially across other European time zones.

📝 Enhancement Note: The fully remote nature of the role requires strong self-management, communication skills, and comfort with digital collaboration tools. The mention of both the UK and Germany as remote locations suggests a pan-European remote hiring strategy, offering flexibility but also requiring awareness of potential time zone differences for collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the role's requirements, especially AI and conversational design experience.
• Portfolio Presentation: A dedicated session where you will present 1-2 key projects from your portfolio, focusing on your design process, problem-solving approach, and the impact of your AI/conversational design work. Expect to discuss your systems thinking, behavioral logic definition, and evaluation strategies.
• Hiring Manager Interview: A discussion with the hiring manager to delve deeper into your experience, leadership potential, and understanding of AI product strategy.
• Cross-functional Interviews: Interviews with Product Managers, Engineers, and potentially other Designers to assess collaboration skills, technical understanding, and cultural fit.
• Final Interview/Debrief: A concluding conversation, potentially with senior leadership, to finalize the decision.

Portfolio Review Tips:

• Showcase AI/Conversational Expertise: Prioritize projects that clearly demonstrate your experience with AI, conversational interfaces, agent behaviors, and multi-agent systems.
• Detail Your Process: For each project, explain your problem-solving methodology, research, ideation, prototyping, validation, and iteration stages, especially as they relate to AI.
• Quantify Impact: Whenever possible, present metrics that demonstrate the success of your designs – e.g., improvements in user engagement, task completion rates, reduction in errors, or positive sentiment analysis.
• Explain Systems Thinking: Clearly articulate how you approached designing complex systems, including orchestration, behavioral logic, and cross-channel consistency.
• Highlight Collaboration: Provide examples of how you collaborated with PMs, Engineers, and Data Analysts to bring AI experiences to life.
• Address Responsible AI: Include examples of how you considered accessibility, transparency, and trustworthiness in your AI designs.

Challenge Preparation:

• Be prepared for potential design exercises that might involve conceptualizing an AI feature, mapping out a conversational flow, or defining agent interactions.
• Practice articulating your design decisions clearly and concisely, especially when explaining complex AI systems or trade-offs.
• Research SmartRecruiters' current product offering and its position in the HR Tech market, and think about potential AI enhancements.

📝 Enhancement Note: The emphasis on a portfolio presentation stage is critical. Candidates should meticulously prepare to showcase their most relevant AI and conversational design work, demonstrating their ability to handle complex systems and articulate their design thinking process effectively.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration. Proficiency in creating design systems and interactive prototypes is expected.
• AI/Conversational Prototyping Tools: Experience with tools beyond standard Figma, such as Vibe, or specialized platforms for simulating AI interactions and agent behaviors.
• Collaboration Platforms: Slack, Microsoft Teams, Zoom, Google Workspace for communication and team coordination.
• Project Management: Jira, Asana, or similar for tracking design tasks and project progress.

Analytics & Reporting:

• Data Analysis Tools: Familiarity with tools used for analyzing user behavior, conversation logs, and performance metrics (e.g., SQL, Looker, Tableau, or specific product analytics platforms).
• User Feedback Platforms: Tools for collecting and analyzing user feedback, sentiment analysis, and usability testing results.

CRM & Automation:

• While not directly a design tool, understanding how AI experiences integrate with CRM and automation platforms (like those within the HR Tech stack) can be beneficial.
• Familiarity with APIs and integration concepts may be advantageous for designing seamless cross-platform experiences.

📝 Enhancement Note: The technology stack highlights a need for proficiency in industry-standard design tools like Figma, alongside a willingness and ability to adapt to newer, specialized AI prototyping tools. Data analysis skills are crucial for iterating on AI experiences, indicating that designers will work closely with data insights.

👥 Team Culture & Values

Operations Values:

• Commitment & Grit: A drive to tackle complex challenges in AI design with determination and perseverance.
• Curiosity & Excellence: A continuous desire to learn, explore new AI capabilities, and strive for the highest quality in design output.
• Collaboration & Trust: Working effectively with cross-functional teams, fostering an environment of mutual respect and open communication.
• Grit & Determination: Embracing challenges with resilience and a focus on achieving ambitious goals.
• Data-Driven Approach: Using insights from data and user feedback to inform design decisions and measure impact.
• Efficiency & Optimization: A focus on creating scalable, performant, and user-friendly AI experiences.

Collaboration Style:

• Highly collaborative, working closely with Product Managers to define strategy and requirements, and with Engineers (including ML specialists) to ensure feasibility and effective implementation of AI features.
• Emphasis on clear, concise communication, both written and verbal, to articulate design concepts and rationale.
• Openness to feedback and a willingness to iterate based on input from various stakeholders.
• Proactive engagement in design reviews and cross-functional problem-solving sessions.

📝 Enhancement Note: The company's stated values – commitment, grit, curiosity, excellence, collaboration, trust – are central to its culture. For an AI design role, this translates to a highly engaged, problem-solving-oriented approach, where continuous learning and teamwork are essential for navigating the complexities of AI product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing Novel AI Interactions: Conceptualizing and designing user experiences for AI capabilities that are still evolving and may lack established patterns.
• Ensuring Trust and Transparency: Building user trust in AI systems, especially in sensitive areas like recruitment, by designing for clarity and reliability.
• Balancing Generative AI Flexibility with Control: Designing experiences that leverage the power of generative AI while maintaining predictability and adhering to brand/product guidelines.
• Cross-Channel Consistency: Maintaining a coherent and consistent user experience across multiple digital touchpoints for AI-driven interactions.
• Scaling AI Design Practices: Enabling other teams within the organization to adopt and effectively implement AI design principles and patterns.

Learning & Development Opportunities:

• AI/ML UX Specialization: Immersion in the cutting edge of AI and machine learning user experience design.
• Conversational Design Mastery: Developing deep expertise in dialogue design, prompt engineering, and agent orchestration.
• Cross-functional Skill Development: Gaining deeper insights into ML, data science, and product management through close collaboration.
• Industry Conferences & Training: Opportunities to attend leading AI and UX conferences and pursue relevant certifications.
• Mentorship & Leadership: Potential to mentor junior designers and lead strategic design initiatives within a growing AI product space.

📝 Enhancement Note: The challenges presented are inherent to working at the forefront of AI product design. The growth opportunities are substantial, offering a clear path for specialization and leadership within a rapidly advancing field, amplified by the resources of SAP.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI-driven system you designed. What were the key challenges in defining its behavior and orchestrating interactions, and how did you address them?" - Preparation: Focus on a project where you designed AI logic, multi-agent workflows, or complex conversational flows. Detail your systems thinking approach and how you validated the design.
• "How do you approach designing for trust and transparency in AI experiences, particularly in B2B contexts like recruitment?" - Preparation: Prepare examples of how you've built in clarity, error handling, and user control to foster trust. Discuss your understanding of Responsible AI principles.
• "Walk us through your process for evaluating the performance of an AI experience. What metrics do you prioritize, and how do you use data to iterate?" - Preparation: Detail your experience with building evaluation frameworks and analyzing qualitative/quantitative data from AI interactions.

Company & Culture Questions:

• "What excites you about SmartRecruiters' mission and its AI-powered approach to hiring?" - Preparation: Research SmartRecruiters' product, target audience, and recent AI initiatives. Connect their mission to your passion for AI design.
• "How would you foster collaboration between design, product, and engineering teams when developing AI features?" - Preparation: Highlight your experience working with cross-functional teams, emphasizing communication and shared understanding of AI capabilities and limitations.
• "How do you ensure your designs are inclusive and accessible, especially when working with novel AI technologies?" - Preparation: Be ready to discuss your approach to inclusive design and accessibility standards, and how you apply them to AI contexts.

Portfolio Presentation Strategy:

• Structure: Begin with the business problem or user need, then detail your design process, highlight key AI/conversational design decisions, showcase prototypes/flows, and conclude with the impact and learnings.
• Focus on AI Specifics: Emphasize your unique contributions to AI behavior definition, conversational design, prompt integration, and system orchestration.
• Visual Storytelling: Use clear visuals, diagrams, and interactive elements to illustrate complex interactions and AI logic.
• Articulate Trade-offs: Be prepared to discuss design choices and any trade-offs made, especially concerning AI capabilities, constraints, and user experience.
• Demonstrate Scalability: Show how your designs are built to be scalable and adaptable, potentially enabling other teams.

📝 Enhancement Note: The interview preparation emphasizes demonstrating not just design skills, but a deep understanding of AI principles, systems thinking, and effective cross-functional collaboration. The portfolio presentation is a critical component, requiring candidates to clearly articulate their unique value in designing complex AI experiences.

📌 Application Steps

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

• Submit your application through the SmartRecruiters careers portal via the provided link.
• Curate Your Portfolio: Select 1-2 most relevant projects that showcase your expertise in AI, conversational design, and complex B2B digital products. Ensure these projects clearly illustrate your design process, systems thinking, and impact.
• Tailor Your Resume: Highlight keywords and experiences directly related to AI experiences, conversational design, systems thinking, Figma proficiency, and cross-functional collaboration. Quantify achievements where possible.
• Prepare Your Presentation: Practice articulating your design process, key decisions, and project outcomes for the portfolio review stage. Be ready to discuss your approach to AI challenges, responsible AI, and collaboration.
• Research SmartRecruiters: Understand their product, market position, and recent AI developments. Prepare thoughtful questions about their AI strategy and design culture.

⚠️ 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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