Conversational AI UX Designer

📍 Job Overview

Job Title: Conversational AI UX Designer

Company: Bloomreach

Location: United Kingdom

Job Type: Full-time

Category: User Experience (UX) Design / Conversational AI

Date Posted: May 14, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Remote Eligible (within the United Kingdom)

🚀 Role Summary

• Design and develop cutting-edge conversational AI experiences for marketers, focusing on chat interfaces, in-product assistants, and agentic workflows within the Bloomreach platform.

• Leverage expertise in prompt engineering and context management to shape the behavior, voice, and tone of AI agents (Loomi AI) for optimal marketer interaction and trust.

• Collaborate closely with Product Managers, Engineers, and fellow Designers to translate complex AI capabilities and user needs into intuitive, human-centered AI-driven product features.

• Utilize AI-native prototyping methods and analyze conversation logs and user behavior data to drive iterative improvements and ensure the effectiveness of AI agent interactions.

📝 Enhancement Note: This role is positioned at a mid-senior level, implying a need for demonstrated autonomy in design execution and a proactive approach to problem-solving, particularly in the rapidly evolving field of conversational AI. The focus on "agentic" experiences suggests a move beyond simple chatbots to AI systems that can autonomously assist users in completing complex tasks.

📈 Primary Responsibilities

• Design and iterate on conversational flows, including prompting strategies, turn-taking mechanics, and robust error recovery mechanisms for chat and assistant interfaces.

• Shape Loomi AI's voice and tone to be directive, exploratory, transparent about reasoning, and capable of communicating uncertainty effectively for marketing workflows.

• Employ prompt and context engineering techniques to guide agent behavior, including system prompts, tool selection hints, and contextual grounding based on customer data.

• Design for the inherent characteristics of generative AI, such as probabilistic outputs, potential uncertainty, and graceful failure states, incorporating clear guardrails and recovery paths.

• Develop and evaluate AI-native prototypes using LLM playgrounds and scripted flows to simulate real AI behavior and test edge cases, informing design decisions.

• Define and track key success metrics for agent UX, including task completion rates, reduction in follow-up questions, error recovery efficiency, and user trust.

• Analyze conversation logs and user behavior data to identify friction points, misunderstandings, and opportunities for enhancing conversational workflows.

• Collaborate with product and engineering to establish a coherent UX model for AI agents that can be scaled and evolved over time.

• Champion quality, safety, and transparency in AI interactions by defining and maintaining UX evaluation criteria for agent responses.

• Advocate for human-centered guardrails, such as requiring confirmation for actions or implementing explicit opt-in mechanisms, balancing AI autonomy with user control.

• Design clear explanations and "why" moments to help marketers understand key AI-driven decisions (e.g., segmentations, timing, splits) without overwhelming them with raw AI output.

📝 Enhancement Note: The responsibilities highlight a deep dive into the nuances of conversational AI design, emphasizing the iterative nature of this field. The emphasis on "AI-native prototypes" and "real AI behavior" suggests that traditional UI mockups will be insufficient, requiring candidates to be hands-on with LLM tools early in the design process.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), UX Design, Computer Science, Psychology, or a related field is typically expected for this level of role. Relevant certifications in UX or AI design may also be considered.

Experience: 5-10 years of demonstrated experience in product/UX design, with a significant portion focused on designing for conversational, assistant, or AI-powered experiences (e.g., chat interfaces, copilots, agents). Experience with complex web-based or SaaS products is highly desirable.

Required Skills:

• Proven experience in designing conversational, assistant, or AI-powered experiences.

• Strong User Experience (UX) design principles and methodologies.

• Hands-on experience with Large Language Model (LLM) driven tools for prototyping or product development.

• Proficiency in prompt engineering and understanding of context engineering principles.

• Ability to design and evaluate conversation flows, including turn-taking and error handling.

• Experience in shaping voice and tone for digital products, specifically for AI agents.

• Systems thinking approach to design, ensuring scalability and consistency across different surfaces and use cases.

• Prototyping skills, particularly with AI-native tools and LLM playgrounds.

• Experience treating prompts, context, and evaluation criteria as core design artifacts.

• Strong collaboration and communication skills, with a track record of working effectively with Product Managers and Engineers.

• Experience leading or facilitating design reviews, workshops, and working sessions.

• Ability to explain design decisions clearly to both technical and non-technical audiences.

• Experience defining and tracking UX success metrics for AI-driven features.

Preferred Skills:

• Experience designing for marketing automation, CRM, messaging, or workflow-driven products, especially for non-technical users.

• Familiarity with design systems and component libraries and experience extending them to conversational interfaces.

• Experience partnering with data scientists and user researchers to analyze conversation logs and conduct structured experiments.

• Experience mentoring other designers or improving team AI/agent design practices.

• Understanding of the realities of generative AI, including probabilistic outputs and graceful failure states.

📝 Enhancement Note: The "Nice to Have" skills point towards candidates who can not only design but also help mature the company's approach to conversational AI design and integrate it seamlessly with existing product ecosystems. The emphasis on marketing-related products suggests a preference for candidates who understand the user base.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A dedicated section showcasing conversational AI or AI-powered product designs, detailing the problem, your role, the process, and the outcome.

• Case studies demonstrating experience with prompt engineering, conversation flow design, and AI agent behavior shaping.

• Examples of AI-native prototypes or interactive prototypes that simulate conversational AI interactions.

• Documentation of how you've used data analysis (conversation logs, user behavior) to inform design iterations and improve AI performance.

Process Documentation:

• Showcasing your approach to problem framing for AI-driven features, including defining user needs and AI capabilities.

• Illustrating your methodology for developing and iterating on conversational flows, including prompt design and error handling strategies.

• Demonstrating how you define and track UX success metrics specific to AI interactions and agent performance.

• Providing examples of how you've translated insights from user feedback and data analysis into concrete design improvements for AI products.

📝 Enhancement Note: Given the specialized nature of this role, candidates should prepare to showcase their understanding of AI-specific design challenges. The portfolio should highlight their ability to move beyond static UI design to interactive, dynamic AI experiences and demonstrate their analytical rigor in evaluating AI performance.

💵 Compensation & Benefits

Salary Range: For a mid-senior level Conversational AI UX Designer in the United Kingdom, a competitive salary range is estimated between £60,000 to £90,000 per annum. This range can vary based on specific experience, location within the UK (e.g., London vs. other tech hubs), and the candidate's demonstrated impact.

Benefits:

• Restricted Stock Units (RSUs) or Stock Options: Granting ownership and participation in Bloomreach's growth.

• Company Performance Bonus: Rewarding collective success and individual contribution.

• Employee Referral Bonus: Up to $3,000 for successful referrals.

• Professional Education Budget: An annual allowance of $1,500 for books, courses, and certifications to support continuous learning.

• Employee Assistance Program: Confidential counseling and support for non-work-related challenges.

• Calm App Subscription: Access to a leading sleep and meditation app for well-being.

• DisConnect Days: Additional paid days off each quarter to encourage unwinding and time away from screens.

• Extended Parental Leave: Up to 26 calendar weeks for primary caregivers.

• Paid Volunteering Days: 5 paid days off annually to engage in volunteer activities.

• Flexible working hours to accommodate individual working styles.

• Virtual-first work environment with access to Bloomreach Hubs.

Working Hours: The role is likely based on a standard 40-hour work week, with an emphasis on flexible working hours to accommodate individual preferences and potentially different time zones within the UK. The virtual-first nature allows for greater autonomy in managing one's schedule, provided deliverables are met.

📝 Enhancement Note: The provided benefits are extensive and indicate a company culture that values employee well-being, professional development, and work-life balance. The salary estimate is based on industry benchmarks for UX Design roles with specialized AI experience in the UK market, considering the company's likely positioning as a tech innovator.

🎯 Team & Company Context

🏢 Company Culture

Industry: Bloomreach operates in the MarTech (Marketing Technology) and E-commerce Personalization space, leveraging AI to revolutionize customer engagement and marketing automation. They are building an "agentic platform for personalization."

Company Size: Bloomreach is a growing company, likely in the scale-up phase, with a significant employee base (estimated 500-1000+ employees based on typical Greenhouse ATS job posting patterns for established tech companies). This size offers a balance between the agility of a startup and the structure of a larger organization.

Founded: Bloomreach was founded in 2009. This history provides a foundation of established market presence while driving innovation with new AI technologies.

Team Structure:

• The Conversational AI UX Designer will likely be part of a broader Product Design team, working within cross-functional "product trios" (Designer, Product Manager, Engineering Lead).

• The AI team, including Loomi AI, is a core focus, suggesting close collaboration with dedicated AI/ML engineers and researchers.

Methodology:

• Data-Driven Design: Utilizing data from conversation logs and user behavior analytics to inform design decisions and measure success.

• Agile Development: Working in iterative cycles, with a focus on rapid prototyping and feedback loops.

• Human-Centered AI: Prioritizing user needs, trust, and transparency in the design of AI interactions.

• Collaborative Problem-Solving: Engaging in working sessions and co-framing problems with teammates.

Company Website: https://www.bloomreach.com/en

📝 Enhancement Note: Bloomreach's focus on "agentic platforms" and "Loomi AI" positions them at the forefront of AI-driven personalization. The company culture appears to value trust, freedom, responsibility, and results, with a strong emphasis on continuous development and well-being.

📈 Career & Growth Analysis

Operations Career Level: This role is for a mid-senior level Conversational AI UX Designer. It requires demonstrated expertise in designing AI-powered interfaces and a strong understanding of conversational design principles. The scope includes end-to-end project ownership within a product trio and influencing the strategic direction of AI interactions within the platform.

Reporting Structure: The designer will likely report to a Head of Design, Design Manager, or a Lead UX Designer, depending on the team's specific structure. They will work closely with Product Managers and Engineering Leads within their designated product area.

Operations Impact: The Conversational AI UX Designer will have a significant impact on customer adoption and satisfaction with Bloomreach's AI capabilities. By making AI interactions intuitive, trustworthy, and effective for marketers, this role directly contributes to customer retention, perceived value of the platform, and ultimately, Bloomreach's revenue growth. The success of Loomi AI hinges on its usability and perceived intelligence, making this role critical.

Growth Opportunities:

• Specialization: Deepen expertise in Conversational AI UX, prompt engineering, and AI ethics.

• Leadership: Transition to a Senior or Lead UX Designer role, potentially mentoring junior designers or leading specific AI design initiatives.

• Cross-Functional Impact: Gain exposure to AI/ML development, product strategy, and data science, broadening skill sets.

• Innovation: Contribute to shaping the future of AI-driven personalization and autonomous marketing platforms.

• Advanced Training: Utilize the professional education budget for specialized courses or certifications in AI/ML for designers.

📝 Enhancement Note: The role offers a clear path for growth within a specialized and high-demand field. The emphasis on "agentic workflows" suggests that this role is at the cutting edge, offering opportunities to shape future product development in AI-driven commerce.

🌐 Work Environment

Office Type: Bloomreach operates a "virtual-first" model, meaning remote work is the primary mode. However, they maintain "Bloomreach Hubs" across continents, suggesting physical co-working spaces or offices that employees can utilize for collaboration or focused work if desired.

Office Location(s): While the job is posted for the United Kingdom, Bloomreach has global hubs, indicating a distributed workforce. Employees in the UK would likely leverage local co-working spaces or work from home, with the possibility of occasional in-person meetups or team events.

Workspace Context:

• Flexibility: The virtual-first approach provides significant flexibility in managing one's work environment.

• Collaboration Tools: Expect extensive use of digital collaboration tools (e.g., Slack, Zoom, Miro, Figma) for communication and co-creation.

• AI Focus: The work environment is heavily influenced by the cutting edge of AI technology, fostering an innovative and forward-thinking atmosphere.

• Team Interaction: While remote, the company culture encourages regular interaction through virtual meetings, working sessions, and potential physical meetups at hubs.

Work Schedule: The emphasis on flexible working hours allows individuals to structure their day around personal needs and peak productivity times, within the framework of a standard work week (likely 40 hours). This is particularly beneficial for roles involving deep work and creative problem-solving.

📝 Enhancement Note: The "virtual-first" model with optional hubs caters to modern work preferences, offering autonomy while maintaining avenues for in-person collaboration and community building. This setup is ideal for experienced professionals who can manage their time effectively.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio, likely followed by a brief call with a recruiter to assess basic qualifications and cultural fit.

• Portfolio Presentation & Design Challenge: A key stage will involve presenting your portfolio, focusing on relevant conversational AI or UX case studies. This may be followed by a design exercise or prompt engineering challenge, either take-home or live, to assess your practical skills in designing AI interactions.

• Team Interviews: Interviews with Product Management, Engineering, and fellow Design team members to evaluate collaboration, technical understanding, and problem-solving approach. Expect discussions around your experience with AI, prompt engineering, and complex system design.

• Hiring Manager Interview: A final discussion with the hiring manager to assess overall fit, strategic thinking, and leadership potential.

Portfolio Review Tips:

• Highlight AI/Conversational Projects: Prioritize and thoroughly detail projects that demonstrate your experience with conversational AI, chatbots, AI assistants, or agentic workflows.

• Showcase Your Process: Clearly articulate your design process, focusing on how you handle ambiguity, leverage data, engineer prompts, and iterate on AI interactions. Use visuals and flow diagrams effectively.

• Demonstrate Impact: Quantify the impact of your designs whenever possible, using metrics related to user engagement, task completion, trust, or efficiency improvements.

• Explain Your Role: Be explicit about your contribution, especially in collaborative projects.

• Prepare for Prompting Discussions: Be ready to discuss specific prompts you've used, the reasoning behind them, and how you've refined them based on AI output.

• Address AI Limitations: Show your understanding of generative AI limitations (hallucinations, bias) and how you've designed for them with guardrails and transparency.

Challenge Preparation:

• Practice Prompt Engineering: Familiarize yourself with prompt design techniques for different AI models and use cases.

• Simulate Conversational Flows: Practice mapping out complex conversational scenarios, including error handling and user guidance.

• Think Systemically: Prepare to discuss how your designs would integrate into a larger platform and scale across different features.

• Research Bloomreach: Understand their product offerings, target audience (marketers), and their vision for AI-driven personalization.

📝 Enhancement Note: The interview process will heavily scrutinize practical application of AI design principles and prompt engineering. Candidates should be prepared to demonstrate their ability to translate abstract AI capabilities into tangible, user-friendly experiences.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite.

• AI-Native Prototyping: Claude Code, LLM playgrounds (e.g., OpenAI Playground, Anthropic Console), custom-built prompt sandboxes, scripted flow tools.

• Collaboration: Slack, Zoom, Miro, Confluence, Jira.

Analytics & Reporting:

• User Behavior Analytics: Tools like Amplitude, Mixpanel, or similar platforms for tracking user interactions with AI features.

• Conversation Log Analysis: Tools or scripts for mining and analyzing chat transcripts and agent interactions.

• Data Visualization: Tableau, Power BI, or internal dashboards for reporting on AI UX metrics.

CRM & Automation:

• While not directly designing the CRM, understanding how AI integrates with systems like Salesforce, HubSpot, or Bloomreach's own platform is crucial.

• Familiarity with workflow automation concepts is beneficial.

• LLM APIs: Understanding of how to interact with LLM APIs (e.g., Anthropic, OpenAI) for prototyping and development.

📝 Enhancement Note: Proficiency with traditional UX design tools is assumed, but specific experience with AI-native prototyping tools and the ability to work with LLM playgrounds are critical differentiators for this role. Understanding how to analyze conversational data is also key.

👥 Team Culture & Values

Operations Values:

• Freedom & Trust: A culture that empowers individuals with autonomy and responsibility, focusing on results rather than micromanagement.

• Results-Oriented: Emphasis on delivering tangible outcomes and driving business impact from day one.

• Collaboration: Strong belief in working together across functions to solve complex problems and achieve shared goals.

• Continuous Learning: Encouragement and support for personal and professional development, staying at the forefront of AI and design practices.

• Customer-Centricity: A commitment to understanding and serving customer needs, particularly marketers in this role, to drive loyalty and growth.

• Innovation: Driving the future of personalization and AI, with a willingness to experiment and push boundaries.

Collaboration Style:

• Cross-functional Partnership: Close collaboration within product trios (Design, Product, Engineering) and with AI/ML specialists.

• Open Communication: Encouraging direct and transparent communication, with a willingness to share feedback and ideas.

• Workshop-Driven: Utilizing working sessions and design reviews to co-create solutions and align on strategies.

• Mentorship & Knowledge Sharing: Opportunities to learn from and contribute to the collective knowledge base, especially regarding AI design best practices.

📝 Enhancement Note: Bloomreach's stated values (5 core values and 10 key behaviors) are deeply embedded in their processes. Candidates should align with a culture of autonomy, accountability, and a drive for innovation, particularly in the AI space.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Working with generative AI means dealing with probabilistic outputs and inherent unpredictability, requiring robust design strategies for uncertainty.

• Building User Trust in AI: Ensuring marketers trust Loomi AI's suggestions and actions requires transparency, clear communication of reasoning, and reliable performance.

• Balancing Autonomy with Control: Defining the right level of AI autonomy versus user control to maximize efficiency without sacrificing user agency.

• Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in LLMs and conversational AI technologies.

• Integrating AI into Existing Workflows: Seamlessly embedding AI agents into established marketer workflows without causing disruption.

Learning & Development Opportunities:

• AI Specialization: Deep dive into prompt engineering, AI ethics, and advanced conversational design patterns.

• Industry Trends: Staying abreast of cutting-edge AI research and applications in marketing and e-commerce.

• Cross-Disciplinary Learning: Gaining insights into ML engineering, data science, and product strategy.

• Leadership Development: Opportunities to mentor junior designers and influence design direction.

• Professional Education Budget: Access to $1,500 annually for courses, books, and certifications.

📝 Enhancement Note: This role is ideal for someone who thrives in a dynamic, cutting-edge environment and enjoys tackling complex, evolving challenges. The growth opportunities are significant for those passionate about shaping the future of AI in user experience.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What were the biggest challenges, and how did you overcome them?" (Focus on your process, prompt engineering, and handling AI limitations).

• "How would you approach designing a conversational experience for a marketer trying to create a new campaign segment? What prompts would you consider, and how would you handle potential ambiguities?" (Demonstrate your prompt design and conversational flow thinking).

• "Imagine Loomi AI makes an incorrect suggestion. How would you design the system to recover gracefully and maintain user trust?" (Assess your understanding of error handling and user safety in AI).

Company & Culture Questions:

• "Why are you interested in Bloomreach and our approach to agentic AI personalization?" (Research their mission, Loomi AI, and the "agentic platform" concept).

• "How do you align with our company values of freedom, trust, and results?" (Provide specific examples from your experience).

Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of Bloomreach's mission and then dive into 2-3 key projects, prioritizing AI/conversational design.

• Narrative: For each project, clearly articulate the problem, your specific role and contributions, the design process (including prompt engineering, prototyping, and iteration), and the measurable outcomes or impact.

• Visuals: Use wireframes, mockups, interactive prototypes, and flow diagrams to illustrate your designs. Show examples of prompts and AI responses.

• AI Focus: Explicitly discuss how you addressed the unique challenges of AI design, such as uncertainty, trust, and transparency.

• Q&A: Be prepared for deep-dive questions about your design decisions, technical understanding, and how you would adapt to Bloomreach's specific technology stack and user base.

📝 Enhancement Note: Be prepared to discuss both the strategic and tactical aspects of conversational AI design. Demonstrating a blend of user empathy, technical understanding of LLMs, and a proactive, iterative approach will be key to success.

📌 Application Steps

To apply for this Conversational AI UX Designer position:

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

• Tailor your resume: Highlight experience in conversational AI, UX design for SaaS, prompt engineering, and collaboration with technical teams. Use keywords from the job description.

• Curate your portfolio: Ensure it prominently features AI/conversational design projects, showcasing your process, prompt examples, prototypes, and quantifiable impact. Prepare a concise narrative for each case study.

• Prepare for the interview: Research Bloomreach's "agentic platform" and Loomi AI. Practice articulating your design process, your approach to AI challenges, and your collaboration style. Be ready to discuss prompt engineering and AI evaluation criteria.

• Understand the role's context: Familiarize yourself with the challenges and opportunities of designing AI for marketers and the virtual-first work environment at Bloomreach.

⚠️ 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.

---