Senior Product Designer (AI Experiences)

The Design Project; Remote; GBP 60,000 - GBP 80,000; Full time

Job summary

A leading technology firm based in the United Kingdom is seeking an experienced Senior Product Designer (AI Experiences) to lead the design of innovative AI-powered experiences. This fully remote position requires a strong background in product design and AI, with a focus on conversational systems. This role aims to enhance user experiences while collaborating across teams to ensure seamless design execution. Ideal candidates will demonstrate a solid comprehension of UX principles and have relevant experience in designing complex digital products.

Benefits

Competitive salary

Health and wellness benefits

Professional development opportunities

Remote-first work environment

Generous paid time off

Qualifications

• Minimum of 5 years of experience in designing complex B2B digital products.
• 2-3+ years of dedicated experience designing AI-powered user experiences.
• Strong track record of end-to-end UX ownership.

Responsibilities

• Lead design of AI-powered experiences focusing on conversational interfaces.
• Develop agent behaviors and orchestration logic for seamless interactions.
• Collaborate with teams to define intelligent workflows enhancing user experience.

Skills

Product Design & UX Mastery

AI & Conversational Design

Prototyping & Tools

Systems Thinking

Data-Informed Design

Cross-Functional Collaboration

Responsible AI & Inclusivity

Education

Bachelor's or Master's degree in Design, HCI, or related field

Tools

Figma

Microsoft Teams

Jira

Confluence

Job description

Senior Product Designer (AI Experiences)

Full_time

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

• Lead the end-to-end design of cutting-edge AI-powered experiences, focusing on conversational interfaces, generative AI, and multi-agent systems within a B2B SaaS environment.
• Champion user-centered design principles and advocate for accessible, transparent, and trustworthy AI solutions, ensuring responsible AI practices are integrated into the product development lifecycle.
• Collaborate closely with Product Management, Engineering, Data Science, and other Design teams to define, prototype, and validate intelligent workflows that enhance the overall user experience and drive business outcomes.
• Develop and refine agent behaviors, orchestration logic, and conversational systems to ensure seamless, intuitive, and scalable interactions across various channels and modalities.

📈 Primary Responsibilities

• Conduct comprehensive discovery initiatives for AI-driven experiences, applying systems thinking, orchestration modeling, and behavioral logic definition to understand complex user needs and technical capabilities.
• Own the entire experience design lifecycle for AI features, from initial concept and ideation through detailed prototyping, user validation, and iterative refinement, ensuring alignment with SmartRecruiters' product design standards and Design System.
• Define and design agent behaviors, including intent interpretation, decision-making processes, escalation protocols, and hand-off mechanisms, creating clear behavior guides and guardrails.
• Develop sophisticated conversational systems, including dialogue patterns, robust error recovery, fallback strategies, multi-turn conversation flows, and reusable prompt/policy templates, maintaining coherence between LLM-driven interactions and deterministic workflows.
• Establish and evolve evaluation frameworks to measure the quality and effectiveness of AI experiences, analyzing conversation logs, sentiment, behavioral data, and business outcomes to drive continuous improvement.
• Design cross-channel experiences that maintain consistency in language, behavior, and intent across platforms such as Microsoft Teams, Slack, SMS, WhatsApp, and other partner ecosystems.
• Act as a champion for inclusive and responsible AI design, ensuring accessibility, transparency, and trustworthiness are paramount in all AI-driven interactions.
• Develop playbooks, patterns, and frameworks to enable other teams within the organization to design and integrate their own agents and AI functionalities into the platform.
• Foster strong cross-functional collaboration with Product Managers, Engineers (ML, Backend), Data Analysts, and fellow Product Designers to refine use cases, optimize prompts, and ensure the delivery of high-quality AI experiences.

🎓 Skills & Qualifications

Education:

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

Experience:

• Minimum of 5 years of experience in designing complex B2B digital products, demonstrating a strong track record of end-to-end UX ownership.
• 2-3+ years of dedicated experience designing AI-powered, conversational, agentic, or multimodal user experiences.

Required Skills:

• Product Design & UX Mastery: Solid foundation in UI and UX principles, including interaction design, information architecture, usability testing, and user-centered design methodologies.
• AI & Conversational Design: Proven experience designing for AI, including conversational interfaces, generative AI outputs, and multi-agent systems; understanding of dialogue flow, prompt engineering basics, and agent behavior logic.
• Prototyping & Tools: High proficiency with Figma and modern prototyping workflows; familiarity with no-code or AI-specific prototyping tools is a significant advantage.
• Systems Thinking: Ability to conceptualize and design complex systems that integrate UI, conversational elements, and agent orchestration layers.
• Data-Informed Design: Capability to analyze qualitative and quantitative data (e.g., conversation logs, user feedback, behavioral analytics) to inform design decisions and measure impact.
• Cross-Functional Collaboration: Demonstrated ability to partner effectively with Product Managers, Engineers (especially ML and Backend), Data Scientists, and other designers.
• Responsible AI & Inclusivity: Familiarity with and commitment to Responsible AI principles, inclusive design practices, and accessibility standards (e.g., WCAG).

Preferred Skills:

• Experience designing for enterprise SaaS products, particularly in the HR Tech or Talent Acquisition space.
• Familiarity with LLMs and their implications for user experience design.
• Experience with defining and implementing evaluation frameworks for AI-driven features.
• Comfort facilitating workshops and providing consultative guidance to other teams.

• End-to-End Case Studies: Showcase 2-3 comprehensive case studies demonstrating ownership of AI-driven or complex conversational experiences from initial discovery through to validated outcomes.
• Systems Design: Include examples that illustrate your ability to design complex, interconnected systems, particularly those involving agent orchestration, multi-agent interactions, and cross-channel consistency.
• AI/Conversational Focus: Clearly highlight your specific contributions to AI features, conversational flows, dialogue design, prompt refinement, or agent behavior definition.
• Process & Methodology: Detail your design process, including how you conduct discovery, user research, prototyping, validation, and iteration for AI-centric projects.
• Data & Evaluation: Demonstrate how you use qualitative and quantitative data, conversation logs, or user feedback to inform and improve AI experience design, including examples of evaluation frameworks.
• Collaboration & Impact: Showcase examples of effective collaboration with engineering and product teams, and clearly articulate the user and business impact of your designs.

Process Documentation:

• Examples of well-documented conversational flows, agent behavior guides, or orchestration diagrams.
• Demonstration of how you create reusable patterns, playbooks, or frameworks to scale design knowledge within an organization.

Salary Range:

• Methodology: This estimate is based on industry benchmarks for Senior Product Designers in the UK with specialized AI/Conversational Design experience, considering the remote nature of the role and the B2B SaaS sector. Factors such as company size, funding (SmartRecruiters is an SAP company), and specialization contribute to the upper end of the range. Actual compensation will depend on individual experience, skills, and UK location.
• Competitive salary and potential for performance-based bonuses.
• Comprehensive health and wellness benefits.
• Generous paid time off and holiday allowance.
• Opportunities for professional development, training, and conference attendance.
• Remote-first work environment with support for home office setup.
• Access to the SAP ecosystem and its resources.
• Employee assistance programs and well-being initiatives.
• Strong emphasis on work‑life balance, diversity, and inclusion.

Working Hours:

• Standard full-time hours (approximately 40 hours per week), with flexibility to accommodate remote work across different time zones within the UK. Core collaboration hours will be established to ensure effective teamwork.

Industry: Software / Human Resources Technology (HR Tech) / Artificial IntelligenceCompany Size: 500-1000 Employees (as of recent reports, part of SAP)Founded: 2010 (SmartRecruiters)

Team Structure:

• The Product Design team likely operates within a larger Product organization, collaborating closely with Product Management and Engineering.
• Senior designers often take on lead roles for specific product areas or initiatives, contributing to team strategy and mentorship.
• Cross-functional collaboration is a core tenet, with designers working in agile squads or pods alongside PMs and engineers.

Methodology:

• Data-Driven Design: Emphasis on using data analytics, user feedback, and AI output analysis to inform design decisions and measure impact.
• Agile Development: Iterative design and development cycles, with close feedback loops between design, product, and engineering.
• Systems Thinking: A focus on designing cohesive and integrated experiences across multiple products and touchpoints.
• AI-First Approach: Driving innovation through AI, integrating intelligent features to optimize user workflows and business processes.

Operations Career Level: Senior Individual Contributor

• This role represents a senior individual contributor path within the product design discipline. The focus is on deep expertise in a specialized area (AI Experiences) and the ability to lead complex design initiatives independently. It is a crucial role for driving innovation and setting design standards for AI at SmartRecruiters.

Reporting Structure:

• Likely reports to a Head of Product Design, Design Director, or a Lead Product Designer overseeing AI initiatives.
• Will work closely with Product Managers responsible for AI product strategy and Engineering leads driving AI development.

Operations Impact:

• The Senior Product Designer for AI Experiences will directly influence SmartRecruiters' AI-powered hiring platform by creating intuitive and effective AI interactions, enhancing user productivity, and improving hiring outcomes for clients.
• Specialization Deepening: Become a recognized expert in AI/Conversational UX within the company and potentially the industry.
• Mentorship & Leadership: Opportunity to mentor junior designers and lead design efforts on major AI projects, potentially transitioning into a design lead or manager role over time.
• Cross-Functional Influence: Drive strategic product decisions through compelling design thinking and user advocacy.
• Industry Engagement: Represent SmartRecruiters at conferences or through thought leadership on AI design.
• Broader Product Scope: Potential to expand responsibilities to oversee design for other advanced technology initiatives within SmartRecruiters.

Office Type: Remote-First CultureOffice Location(s): Primarily remote, with potential for team meetups or company-wide events in various locations. The "United Kingdom (Remote)" designation implies a primary focus on hiring within the UK, but the company operates globally.

Workspace Context:

• Collaborative Digital Environment: Expect a highly connected digital workspace utilizing tools for communication, collaboration, and design. Asynchronous communication will be key, alongside scheduled video calls.
• Access to Tools: Will be provided with necessary software licenses (Figma, prototyping tools, communication platforms) and potentially hardware.
• Team Interaction: Opportunities for interaction will be through virtual team meetings, design critiques, cross-functional syncs, and potentially in-person offsites.

Work Schedule:

• Flexible full-time schedule, with core hours expected for collaboration. The remote nature allows adaptation to individual productivity patterns, provided team needs and project deadlines are met.

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, cultural fit, and salary expectations.
• Hiring Manager Interview: Discussion with the hiring manager (likely a Design Lead or Director) focusing on experience, approach to AI design, and role expectations.
• Portfolio Review & Design Challenge: Deep dive into your portfolio, discussing specific case studies related to AI/conversational design. May be followed by a take-home design challenge or an in-person/virtual whiteboard session focused on a relevant problem.
• Cross-Functional Interviews: Meetings with Product Managers, Engineering leads, & potentially other designers to assess collaboration skills, technical understanding, and strategic thinking.
• Final Round: Potentially conversation with senior leadership to discuss overall fit and strategic alignment.
• Curate Strategically: Select 2-3 of your strongest case studies directly showcasing your experience with AI, conversational design, or complex system design. Prioritize projects where you had significant end-to-end ownership.
• Tell a Story: For each case study, articulate the problem, your role, process, key challenges, and measurable outcomes or learnings.
• Highlight AI Specifics: Detail contributions to AI elements – prompt design, agent behavior, conversational flow logic, data utilization for AI improvement, ethical considerations, etc.
• Showcase Systems Thinking: Use diagrams or explanations to illustrate how designs fit into larger systems or user journeys.
• Be Prepared for Q&A: Anticipate questions about decision-making, trade-offs, collaboration, and handling ambiguity in AI development.
• Familiarize with AI design challenges: Such as error states in LLMs, balancing generative vs. guided AI, agent personality, or orchestrating multi-step AI tasks.
• Practice articulating design process and rationale under time pressure. Ensure clarity and conciseness.

Primary Tools:

• Figma: Core tool for UI design, wireframing, prototyping, and design system management.
• Prototyping Tools: Proficiency with Figma's prototyping and possibly specialized AI/conversational prototyping tools (e.g., Voiceflow, Botmock, or internal tools).
• Collaboration Tools: Slack, Microsoft Teams; Jira, Confluence for project management and documentation.

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Google Analytics, Amplitude, Mixpanel) to understand user behavior and AI interaction data.
• Experience with data visualization tools (e.g., Tableau, Looker) may benefit analyzing conversation logs and performance metrics.

CRM & Automation:

• Understanding of AI experience integration with CRM (e.g., Salesforce) or marketing/recruiting automation platforms (like SmartRecruiters' own platform) is advantageous.

Operations Values:

• Commitment & Grit: Embracing challenges with determination and a drive for excellence in complex AI experiences.
• Curiosity: Continuous drive to learn and explore new AI technologies and applications.
• Collaboration & Trust: Building trust through transparency and shared goals across diverse teams.
• Excellence: Striving for high quality in design, user experience, and ethical AI application.
• Data-Driven: Leveraging data and insights to guide decisions and measure impact.
• Cross-Functional Integration: Partnering with PMs, Engineers, and Data Analysts to ensure technically feasible, strategically aligned, data-informed designs.
• Iterative Feedback: Openness to continuous design critique, user testing, and data analysis.
• Knowledge Sharing: Contributing to the design team's knowledge base and sharing AI design best practices.

• Designing for Ambiguity: Navigating unpredictable AI outputs for reliable experiences.
• Balancing Generative vs. Controlled AI: Determining the optimal mix of AI flexibility and user control for trustworthiness.
• Ensuring Responsible AI: Proactively mitigating bias, ethical concerns, and AI-driven risks.
• Cross-Platform Consistency: Maintaining coherent UX across diverse channels and modalities.
• Enabling Scale: Developing scalable design patterns and frameworks for AI adoption.
• Deep Dive into AI/ML: Hands-on with cutting-edge AI tech and product design integration.
• Advanced UX Methodologies: Skills in complex systems design, conversational architecture, and AI evaluation.
• Industry Leadership: Thought leadership in AI UX through conferences and best practices.
• Mentorship: Guiding junior designers and fostering team growth.
• Access to SAP Resources: Utilizing SAP ecosystem expertise.

Strategic Questions:

• "Describe a complex AI-driven experience you designed. What were the key challenges, how did you approach them, and what was the outcome?"
• "How do you balance generative AI flexibility with the need for reliable, predictable user experiences?"
• "Walk us through your process for designing a conversational flow for a complex task. How do you handle error states, escalation, and natural language consistency?"
• "How would you design an AI agent that orchestrates tasks across multiple other agents or systems?"
• "What are key considerations for responsible and inclusive AI experiences?"

Company & Culture Questions:

• "What excites you about SmartRecruiters' mission and its role as a 'Recruiting AI Company'?"
• "How do you collaborate with PMs and Engineers when dealing with novel AI technologies?"
• "Where do you see the biggest AI opportunities to improve enterprise hiring?"
• Focus on AI: Ensure case studies directly relate to AI, conversational design, or complex systems.
• Detail Your Role: Clearly state specific contributions, especially in discovery, design, and validation.
• Explain the 'Why': Link design decisions to user needs, business goals, and AI capabilities.
• Showcase Process: Illustrate research, ideation, prototyping, iteration methodologies.
• Quantify Impact: Present metrics or feedback demonstrating results.

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

• Submit your application through the SmartRecruiters careers portal.
• Tailor Your Resume: Highlight experience with AI, conversational design, B2B SaaS, and complex systems.
• Curate Your Portfolio: Select most relevant AI/conversational design case studies that demonstrate end-to-end process, system thinking, and impact. Prepare to discuss in depth.
• Research SmartRecruiters: Understand product, AI strategy, and values to tailor application and interview responses.
• Prepare for the Design Challenge: Anticipate a scenario testing AI or conversational design, focusing on process and problem solving.

⚠️ 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.

Application Requirements

Candidates should have over 5 years of experience in designing complex B2B digital products, with a strong background in product design and specific experience in AI-powered and conversational experiences. Proficiency in Figma and a solid understanding of UX principles are also required.