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 / UX / AI Experiences

Date Posted: January 19, 2026

Experience Level: 5-10 Years (Senior Level)

Remote Status: Fully Remote

🚀 Role Summary

• Lead the design and development of cutting-edge AI-powered products, with a specific focus on conversational interfaces, generative AI, and multi-agent interaction systems.

• Drive end-to-end experience design, from initial user research and discovery through to prototyping, validation, and iterative improvement of AI-driven workflows.

• Define and refine agent behaviors, orchestration logic, and conversational systems to ensure intuitive, effective, scalable, and trustworthy user experiences.

• Collaborate closely with Product Management, Engineering (including ML teams), Data Analysts, and fellow Product Designers to translate complex AI capabilities into seamless user interactions.

• Champion responsible and inclusive AI design principles, ensuring accessibility, transparency, and human-centered approaches across all AI experiences.

📝 Enhancement Note: This role is positioned as a Senior Individual Contributor, implying a high degree of autonomy and ownership over complex design initiatives. The emphasis on "raising the quality bar" and "building foundations" suggests a strategic impact beyond individual feature design, potentially involving the establishment of design patterns and best practices for AI experiences across the organization. The inclusion of "SAP company" highlights potential integration opportunities and the scale of the organization's operations.

📈 Primary Responsibilities

• AI Experience Discovery & Design: Lead discovery initiatives for AI-driven features, including conversational challenges, generative AI applications, and new agent functionalities, employing systems thinking, orchestration modeling, and behavioral logic definition.

• End-to-End UX Ownership: Design, prototype, and validate complex AI experiences, adhering to UX best practices, SmartRecruiters design standards, and the company's Design System, from concept ideation through rigorous user validation.

• Agent Behavior & Orchestration Definition: Clearly define how AI agents interpret user intent, make decisions, escalate issues, hand off tasks, and transition between states, creating comprehensive behavior guides and routing rules.

• Conversational System Design: Design sophisticated dialogue patterns, robust error recovery mechanisms, effective fallback and escalation strategies, and reusable prompt or policy templates, ensuring coherence between LLM-driven interactions and deterministic workflows.

• Evaluation & Iteration: Develop and evolve AI experience evaluation frameworks, analyzing conversation logs, sentiment data, behavioral metrics, and user feedback to drive continuous improvement and optimize experience quality.

• Cross-Channel Consistency: Design seamless and consistent AI experiences that function effectively across various channels, including Microsoft Teams, Slack, SMS, WhatsApp, and partner ecosystems, maintaining linguistic and behavioral alignment.

• Responsible & Inclusive AI Advocacy: Actively promote and implement accessible, transparent, trustworthy, and human-centered AI design patterns, championing best practices in Responsible AI and inclusive design.

• Enablement & Scalability: Create and document playbooks, design patterns, and frameworks to empower other teams to design and integrate their own agents into the conversational ecosystem, fostering organizational scalability.

• Cross-Functional Partnership: Collaborate extensively with Product Managers, Engineers (especially ML and backend), Data Analysts, and fellow Product Designers to define use cases, refine prompts, analyze data, and ensure the delivery of high-quality AI and conversational experiences.

📝 Enhancement Note: The responsibilities emphasize a deep understanding of AI capabilities and their translation into user-facing experiences. The focus on "agent orchestration," "conversational systems," and "evaluation frameworks" points towards a role that requires a blend of traditional UX expertise and specialized knowledge in AI interaction design. The requirement to "enable and scale" suggests a mentorship or leadership component for other designers.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in HCI, Design, Computer Science, or a related field is typically expected for senior-level product design roles.

Experience:

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

• 2-3+ years specifically designing AI-powered, conversational, agentic, or multimodal experiences.

Required Skills:

• Product Design & UX Mastery: Solid understanding of UI and UX foundations, including interaction design, information architecture, usability principles, and user-centered design methodologies.

• AI Experience Design: Proven experience designing and validating complex systems involving AI, agents, or automation, with a focus on conversational and generative AI.

• Prototyping Proficiency: Mastery of Figma and modern prototyping workflows, with potential exposure to no-code or AI-specific prototyping tools.

• Systems Thinking: Strong ability to think holistically about 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) to drive design decisions and iterate on experiences.

• Cross-Functional Collaboration: Proven experience working effectively with Product Managers, Engineers (ML, Backend), Data Analysts, and other Designers.

• Responsible AI & Accessibility: Familiarity with and advocacy for Responsible AI principles, inclusive design practices, and accessibility standards (WCAG).

Preferred Skills:

• Experience designing multi-agent interactions and orchestration frameworks.

• Knowledge of LLM capabilities, prompt engineering, and dialogue management systems.

• Experience with cross-channel design (e.g., web, mobile, messaging apps).

• Facilitation of design workshops and consultative support for other teams.

• Experience with defining and implementing evaluation frameworks for AI systems.

📝 Enhancement Note: The requirement for 2-3 years specifically in AI experiences, coupled with 5+ years overall, indicates a need for a blend of seasoned UX expertise and specialized AI design skills. The emphasis on B2B digital products suggests a focus on enterprise-level solutions and complex workflows.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Experience Case Studies: Showcase at least 1-2 in-depth case studies demonstrating end-to-end design of AI-powered products, particularly conversational or agentic systems.

• Problem Definition & Solution: Clearly articulate the user problem or business challenge addressed by the AI experience, detailing the discovery process and how AI was leveraged as a solution.

• Design Process & Methodology: Illustrate your design process, including research, ideation, wireframing, prototyping, user validation, and iteration specifically within the context of AI interactions.

• Systemic Thinking Examples: Provide evidence of your ability to design complex systems, including examples of agent orchestration, multi-agent workflows, or cross-channel consistency.

• Prototyping & Interaction Design: Include interactive prototypes (preferably Figma) demonstrating sophisticated UI and conversational interactions, showcasing dialogue flows, error handling, and user feedback mechanisms.

• Data-Informed Iteration: Demonstrate how you used qualitative and quantitative data (e.g., user feedback, analytics, conversation logs) to inform design decisions and iterate on AI experiences.

• Responsible AI Considerations: Highlight how you addressed accessibility, transparency, and trustworthiness in your AI designs.

Process Documentation:

• Examples of designing and documenting agent behaviors, orchestration logic, and conversational flows.

• Demonstration of creating evaluation frameworks, defining KPIs, and analyzing results for AI experiences.

• Evidence of developing design patterns, playbooks, or enablement materials for AI-driven features.

📝 Enhancement Note: A strong portfolio is crucial for this role. Candidates should be prepared to present detailed case studies that not only showcase design artifacts but also articulate the strategic thinking, problem-solving approach, and measurable impact of their AI experience designs. The ability to explain complex AI interactions clearly and demonstrate how data informed iteration will be key.

💵 Compensation & Benefits

Salary Range:

For a Senior Product Designer with 5-10 years of experience, specializing in AI experiences, and working remotely in the United Kingdom, the estimated salary range is typically 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 the company's compensation philosophy.

Benefits:

• Competitive Salary: Commensurate with experience and the specialized nature of AI design.

• Remote Work Flexibility: Fully remote position, allowing for work from anywhere within the UK.

• Health & Wellness: Comprehensive health insurance, potentially including dental and vision coverage.

• Retirement Savings: Pension scheme contributions.

• Paid Time Off: Generous vacation days, public holidays, and sick leave.

• Professional Development: Opportunities for continuous learning, training, conferences, and certifications in AI and design.

• Inclusive Culture: Access to Employee Resource Groups (ERGs) and a commitment to diversity and inclusion.

• Stock Options/Equity: Potential for equity participation as part of the compensation package.

• Work-Life Balance Initiatives: Programs and policies designed to support employee well-being and a healthy work-life balance.

Working Hours:

• Standard full-time hours, typically around 40 hours per week, with flexibility expected.

• Collaboration across different time zones may require occasional adjustments to working hours.

📝 Enhancement Note: Salary estimation is based on industry benchmarks for senior-level product designers in the UK tech sector, factoring in the specialized skills in AI and remote work. Benefits are inferred from typical offerings at established tech companies, especially those emphasizing employee well-being and growth, as suggested by the company description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Human Resources Technology (HR Tech), specifically Talent Acquisition and Recruiting Software, with a strong focus on AI integration.

Company Size: SmartRecruiters is a significant player in the HR Tech market, part of SAP, indicating a large enterprise context with a dedicated product team. The company culture is described as values-driven, globally focused, and financially backed, suggesting a stable yet innovative environment.

Founded: Founded in 2010, SmartRecruiters has a history of growth and innovation, now augmented by SAP's acquisition in 2025. This blend suggests a company that values both established processes and forward-thinking AI advancements.

Team Structure:

• The Product Design team likely operates within a larger Product and Engineering organization.

• This Senior Designer will be an individual contributor, reporting to a Design Lead or Head of Product Design, and will collaborate closely with Product Managers and Engineering Leads.

Methodology:

• Data-Driven Design: Emphasis on leveraging qualitative and quantitative data, including conversation logs and behavioral analytics, to inform design decisions and drive iterative improvements.

• Agile Development: Likely operates within an agile framework, requiring close collaboration and rapid iteration cycles with engineering teams.

• User-Centered Approach: Commitment to understanding user needs and delivering intuitive, effective, and human-centered AI experiences.

• Design Systems & Standards: Adherence to established Design System guidelines and product design standards to ensure consistency and quality across the platform.

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

📝 Enhancement Note: The company's integration with SAP and its focus on AI signal a commitment to technological advancement and enterprise-scale solutions. The culture is described as valuing "grit, curiosity, and a drive for excellence," alongside collaboration and trust, which are essential for navigating complex AI product development.

📈 Career & Growth Analysis

Operations Career Level: This role is a Senior Individual Contributor (IC) position within the Product Design function, specifically focused on AI Experiences. It signifies a high level of expertise and autonomy, expected to lead complex projects and influence design strategy for AI features.

Reporting Structure: The Senior Product Designer will likely report to a Design Manager, Director of Product Design, or a relevant lead within the Product organization. They will work closely with Product Managers and Engineering Leads on project teams.

Operations Impact: The role has a direct impact on the core offering of SmartRecruiters, which is increasingly leveraging AI. By designing intuitive and effective AI experiences, this role will enhance user adoption, improve efficiency in talent acquisition, and contribute to the company's competitive differentiation in the market. Strong AI design can lead to significant improvements in customer satisfaction and retention.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI interaction design, conversational AI, generative AI, and agent orchestration, becoming a go-to expert within the company.

• Leadership & Mentorship: Take on mentorship roles for junior designers, lead design initiatives for major AI product releases, and potentially contribute to establishing design best practices and frameworks for AI across the organization.

• Strategic Influence: Contribute to the product roadmap and strategy for AI features, influencing the direction of the company's AI product evolution.

• Cross-Functional Mobility: Potential to move into roles with broader product scope or into adjacent areas like Product Management or Design Operations, leveraging deep understanding of AI product development.

• Industry Recognition: Contribute to award-winning products and gain recognition within the AI and UX design communities.

📝 Enhancement Note: The "Senior" title implies significant growth potential beyond individual contributions, including mentorship and strategic input. The integration with SAP also presents opportunities for broader impact within a larger ecosystem.

🌐 Work Environment

Office Type: The role is fully remote, indicating a distributed workforce model. SmartRecruiters has a "remote-friendly culture," suggesting robust support for remote employees.

Office Location(s): While the role is remote within the United Kingdom, the company has global operations and headquarters likely in the US (given its founding and acquisition context).

Workspace Context:

• Distributed Collaboration: Emphasis on asynchronous communication tools and practices, alongside synchronous virtual meetings.

• Technology Stack: Access to modern design tools (Figma), collaboration platforms (e.g., Slack, Jira), and potentially specialized AI prototyping tools.

• Team Interaction: Regular virtual team meetings, design reviews, and cross-functional syncs to foster connection and collaboration among remote team members.

• Autonomy: A high degree of autonomy is expected, typical for senior remote roles, requiring self-discipline and effective time management.

Work Schedule:

• Standard full-time hours are expected, with flexibility to accommodate remote work and collaborative needs across different time zones.

• The company's values include "Work-Life Balance," suggesting an environment that respects personal time.

📝 Enhancement Note: The fully remote nature requires strong self-management skills and proficiency in digital collaboration tools. The company's emphasis on work-life balance and its remote-friendly culture are key aspects of the work environment.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A recruiter or hiring manager will review your application and resume, likely focusing on relevant experience in product design, AI, and B2B products.

2. Portfolio Review & Discussion: A dedicated session to walk through your portfolio, focusing on AI experience case studies. Expect questions about your design process, problem-solving approach, decision-making rationale, and the impact of your work.

3. Design Challenge/Exercise: A practical exercise, potentially involving designing a specific AI interaction or solving a defined problem related to conversational AI or agent behavior. This may be a take-home assignment or a live collaborative session.

4. Cross-Functional Interviews: Interviews with Product Managers, Engineers (ML/Backend), and potentially other Designers to assess collaboration skills, technical understanding, and cultural fit.

5. Final Round: Discussions with senior leadership (e.g., Head of Product Design, VP of Product) to evaluate strategic thinking, leadership potential, and overall fit with the company's vision and values.

Portfolio Review Tips:

• Prioritize AI Case Studies: Feature 1-3 strong case studies specifically on AI-powered or conversational experiences. Clearly outline the problem, your role, the design process, key decisions, challenges, and outcomes.

• Show, Don't Just Tell: Use visuals, interactive prototypes (Figma links), and clear explanations to demonstrate your design thinking and execution.

• Quantify Impact: Wherever possible, include metrics, data points, or user feedback that demonstrate the success and impact of your designs.

• Articulate AI Specifics: Be prepared to discuss your understanding of AI capabilities (LLMs, agents), conversational design principles, prompt engineering considerations, and responsible AI practices.

• Highlight Collaboration: Explain how you worked with cross-functional teams (PMs, Engineers, Data Analysts) throughout the design process.

• Tailor to SmartRecruiters: Research SmartRecruiters' products and current AI initiatives to tailor your presentation and highlight relevant experience.

Challenge Preparation:

• Understand AI Constraints: Be mindful of the current limitations and capabilities of AI, particularly LLMs and agentic systems.

• Focus on User Value: Ensure your solutions directly address user needs and provide tangible benefits within a recruitment context.

• Think Systemically: Consider how your design fits into the broader SmartRecruiters platform and interacts with other AI agents or features.

• Practice Articulation: Be ready to clearly explain your design choices, rationale, and potential trade-offs under time pressure.

📝 Enhancement Note: The interview process emphasizes practical application of AI design skills, portfolio demonstration, and cross-functional collaboration. Candidates should prepare to articulate their expertise in conversational AI and systems design.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, wireframing, prototyping, and collaboration. Proficiency is a must.

• Prototyping Tools: Experience with modern prototyping workflows, potentially including specialized tools for AI or conversational interfaces (e.g., Vibe, or similar no-code/low-code platforms).

• Collaboration Platforms: Proficiency with tools like Slack, Jira, Confluence for communication, task management, and documentation.

Analytics & Reporting:

• Familiarity with analyzing qualitative and quantitative data from user research, conversation logs, sentiment analysis, and behavioral metrics.

CRM & Automation:

• While not directly a CRM role, understanding how AI experiences integrate with broader enterprise systems (like HRIS/ATS) is beneficial.

• Experience designing workflows that involve automation and agentic decision-making.

• Familiarity with design systems and component libraries for consistent application across products.

📝 Enhancement Note: The core tools are Figma and prototyping software, with an emphasis on collaboration and data analysis. Familiarity with tools that facilitate AI prototyping or conversational design is a significant plus.

👥 Team Culture & Values

Operations Values:

• Commitment & Grit: A willingness to tackle complex challenges with determination and perseverance, especially in the evolving field of AI.

• Curiosity & Drive for Excellence: A proactive approach to learning, exploring new AI capabilities, and striving for high-quality, innovative design solutions.

• Collaboration & Trust: Working effectively within cross-functional teams, fostering an environment of mutual respect, open communication, and shared ownership.

• Grit & Determination: Embracing challenges with resilience and a focus on achieving ambitious goals.

• Winning Together: A collective drive to succeed, emphasizing teamwork and shared accomplishments.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration with Product Managers, Engineers (ML/Backend), and Data Analysts is paramount. This involves active participation in discovery, planning, and feedback loops.

• Design Reviews: Engaging in constructive critique sessions, providing and receiving feedback openly to refine designs and ensure alignment.

• Knowledge Sharing: Willingness to share insights, best practices, and learnings related to AI design with the broader team and organization, potentially through workshops or documentation.

• Agile & Iterative: Working within agile frameworks, embracing iterative design and development cycles, and adapting to evolving requirements.

📝 Enhancement Note: The company's explicitly stated values — commitment, grit, curiosity, excellence, collaboration, trust, and a "win together" mentality — are central to its culture and expected in its employees. This is particularly relevant for a role in a fast-paced, innovative area like AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing advancements in AI, LLMs, and generative models, and translating these into practical, user-friendly designs.

• Designing for Ambiguity: Working with AI capabilities that may not always be predictable or deterministic, requiring robust error handling, transparency, and user guidance.

• Balancing Complexity and Simplicity: Designing intuitive interfaces for complex AI functionalities that are scalable, trustworthy, and accessible to a broad user base.

• Cross-Functional Alignment: Ensuring consistent understanding and execution of AI experience design across diverse teams (Product, Engineering, Data) with varying levels of AI expertise.

• Responsible AI Implementation: Navigating ethical considerations, bias mitigation, and ensuring transparency in AI-driven products.

Learning & Development Opportunities:

• Specialized AI Design Training: Opportunities to attend conferences, workshops, or pursue certifications focused on AI/ML design, conversational AI, and prompt engineering.

• Mentorship: Access to senior design leaders and AI experts within SmartRecruiters and potentially SAP for guidance and skill development.

• Exposure to Enterprise AI: Gaining experience designing AI solutions for large-scale enterprise clients, understanding their unique needs and challenges.

• Contribution to Foundational Frameworks: Opportunity to shape the future of AI design at SmartRecruiters by developing core patterns, playbooks, and best practices.

📝 Enhancement Note: The primary challenges stem from the inherent complexity and rapid evolution of AI technology, requiring continuous learning and adaptability. Growth opportunities are significant, focusing on specialization, strategic impact, and leadership within the AI design domain.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI-driven product or feature you designed. What was the problem, your approach, the challenges, and the outcome?" (Focus on your process, decision-making, and impact.)

• "How do you approach designing conversational AI experiences? What are the key principles you follow for dialogue design, error handling, and user guidance?" (Assess your understanding of conversational UX.)

• "Walk us through your process for designing agent behavior and orchestration. How do you ensure agents communicate and collaborate effectively?" (Evaluate your systems thinking for AI agents.)

• "Given a scenario where an AI agent misunderstands a user, how would you design the recovery and feedback loop?" (Test problem-solving for AI failures.)

Company & Culture Questions:

• "Why are you interested in designing AI experiences specifically at SmartRecruiters, considering our focus on talent acquisition?" (Demonstrate research and alignment with the company's mission.)

• "How do you typically collaborate with Product Managers and Engineers, especially those working with ML models?" (Showcase your cross-functional collaboration skills.)

• "Describe a time you had to influence stakeholders to adopt a new design approach or technology. How did you handle it?" (Assess your communication and influence abilities.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly articulate the problem, your role, the user needs, your design process (discovery, ideation, iteration, validation), the specific AI elements you designed, the challenges faced, and the measurable results.

• Highlight AI Specifics: Explicitly call out the AI components, how you approached designing for them, and the unique considerations that arose.

• Showcase Figma Prototypes: Be ready to demonstrate interactive prototypes, explaining the user flows and interaction patterns you've created.

• Explain Data Usage: Detail how you used user data, analytics, or feedback to inform your design decisions and iterations.

• Be Prepared for Deep Dives: Anticipate detailed questions about your technical choices, design rationale, and problem-solving approaches.

📝 Enhancement Note: Preparation should focus on showcasing practical AI design experience, strong UX fundamentals, systems thinking, and effective collaboration. Articulating the "why" behind design decisions and demonstrating data-informed iteration will be critical.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the SmartRecruiters careers portal.

• Portfolio Customization: Ensure your resume and portfolio are tailored to highlight your experience in B2B digital product design, AI experiences, conversational design, and Figma proficiency. Prioritize case studies demonstrating end-to-end ownership of AI-driven features.

• Resume Optimization: Clearly articulate your years of experience in product design and specifically in AI/conversational experiences. Use keywords from the job description (e.g., AI Experiences, Conversational Design, Agent Behavior, Figma, Systems Thinking, Responsible AI). Quantify achievements where possible.

• Prepare Your Narrative: Practice articulating your design process, problem-solving methodologies, and the impact of your work, especially for your AI-focused case studies. Be ready to discuss your approach to collaboration and user validation.

• Company Research: Thoroughly research SmartRecruiters, its products, its position in the HR Tech market, and its stated values. Understand how AI is being integrated into their platform and consider how your skills align with their strategic goals.

⚠️ 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.