Conversational AI UX Designer

📍 Job Overview

Job Title: Conversational AI UX Designer

Company: Bloomreach

Location: Czechia (Remote possibility)

Job Type: Full-Time

Category: UX/UI Design, AI/Machine Learning, Product Development

Date Posted: 2026-05-14

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

Remote Status: Remote OK

🚀 Role Summary

• Design and iterate on AI-first conversational and agentic user experiences for marketers, focusing on chat, in-product assistants, and autonomous workflows.

• Develop and evaluate conversational flows, including prompting, turn-taking, error recovery, and Loomi AI's voice and tone for marketer interactions.

• Leverage prompt and context engineering as core design artifacts, designing for the realities of generative AI, including uncertainty and graceful failure states.

• Build and test AI-native prototypes using LLM playgrounds and scripted flows to experience real AI behavior, driving design decisions based on both happy paths and edge cases.

• Champion quality, safety, and transparency in AI interactions by defining and maintaining UX evaluation criteria and advocating for human-centered guardrails.

📝 Enhancement Note: This role is positioned within the AI/ML and UX Design domains, specifically focusing on the application of Conversational AI within a SaaS product. The emphasis on "agentic platform" and "AI agents" suggests a strategic focus on automating complex user workflows, which is a key trend in modern B2B SaaS. The location being "Czechia" with a remote possibility indicates a hybrid approach, common in European tech hubs.

📈 Primary Responsibilities

• Design and iterate on chat and assistant experiences to help marketers brief campaigns, review proposals, and refine multi-step workflows within the Bloomreach platform.

• Develop and evaluate conversational flows (prompting, turn-taking, error recovery) across various interfaces like in-product chat, side panels, and embedded agent UIs.

• Shape Loomi AI's voice and tone specifically for marketer workflows, determining when to be directive versus exploratory, how to communicate uncertainty, and when to show reasoning.

• Utilize prompt and context engineering to steer agent behavior, including system prompts, tool selection hints, and contextual grounding from customer data.

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

• Collaborate with Product Management and Engineering partners to translate prompts, tools, and policies into a coherent and evolving UX model.

• Build and test AI-native prototypes using tools like Claude Code and LLM playground setups to allow teams to experience real AI behavior, not just static mockups.

• Create prototypes that exercise both happy paths and edge cases (e.g., ambiguous prompts, missing data, conflicting inputs) to inform design decisions.

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

• Mine conversation logs and user behavior data, in collaboration with data and product analytics teams, to identify friction points, misunderstandings, and opportunities for flow improvement.

• Translate insights from real usage into concrete design changes, such as updated prompts, new clarification turns, revised defaults, or improved fallback mechanisms.

• Define and help maintain UX-focused evaluation criteria (evals) for agent responses, assessing clarity, accuracy, safety, tone, and overall helpfulness in advancing marketer tasks.

• Distinguish between core model limitations and UX issues, advocating for human-centered guardrails like confirmation prompts, opt-in mechanisms for auto-applied changes, and explicit user consent.

• Design clear explanations and "why" moments to help marketers understand key decisions (e.g., segments, timing, splits) without being overwhelmed by raw AI output.

📝 Enhancement Note: The responsibilities highlight a deep dive into the nuances of conversational AI design, moving beyond traditional UI/UX to incorporate elements of prompt engineering, AI behavior modeling, and data-driven iteration based on actual conversation logs. This suggests a role that is at the forefront of AI-driven product development.

🎓 Skills & Qualifications

Education:

Experience:

• Demonstrated experience (estimated 5-10 years) designing for conversational, assistant, or AI-powered experiences, such as chat interfaces, copilots, or AI agents.

• Proven experience in product/UX design, with a strong preference for complex web-based or SaaS products.

• Experience leading or facilitating design reviews, workshops, or working sessions to drive collaborative problem-solving.

Required Skills:

• Conversational UX Design: Expertise in designing intuitive and effective chat and voice interfaces.

• AI Agent Design: Ability to conceptualize and design the behavior, personality, and interaction patterns of AI agents.

• Prompt Engineering: Practical experience in crafting effective prompts to guide AI model behavior and outputs.

• LLM Prototyping: Hands-on experience using LLM tools and playgrounds (e.g., Claude Code, prompt sandboxes) to build and test AI interactions.

• Conversation Flow Design: Skill in mapping out multi-turn dialogues, including error handling, clarification strategies, and user guidance.

• User Experience (UX) Design: Comprehensive understanding of user-centered design principles, user research methodologies, and interaction design.

• SaaS Product Design: Experience designing for complex, web-based software-as-a-service applications.

• Voice and Tone Design: Ability to define and implement a consistent and appropriate brand voice for AI interactions.

• Data Analysis: Capacity to interpret user behavior data and conversation logs to inform design decisions.

• Collaboration: Excellent interpersonal skills for working effectively with cross-functional teams (Product, Engineering, Data).

• Systems Thinking: Ability to design scalable patterns and understand how AI interactions fit into a broader product ecosystem.

• Product Analytics: Understanding of how to define and use metrics to measure the success of AI-driven features.

Preferred Skills:

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

• Familiarity with design systems and component libraries, with the ability to extend patterns into conversational/agent surfaces.

• Experience partnering with data scientists and researchers to analyze conversation logs, define success metrics, and conduct structured experiments.

• Experience mentoring other designers or helping teams improve their AI/agent design practices, documentation, or ways of working.

📝 Enhancement Note: The requirements strongly emphasize hands-on experience with generative AI tools and a deep understanding of conversational design principles. The distinction between "required" and "preferred" skills indicates a focus on foundational AI/UX expertise while valuing domain-specific experience in marketing technology. The mention of "5-10 years" for "Mid-Senior Level" is an estimation based on typical industry progression for such specialized roles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies Demonstrating Conversational AI Design: Showcase end-to-end projects where you designed conversational interfaces, AI assistants, or agentic workflows. Clearly articulate the problem, your design process, the AI/LLM tools used, and the outcomes.

• Prompt Engineering Examples: Include examples of prompts you designed, explaining the rationale behind their structure, parameters, and how they influenced AI behavior and output quality.

• Prototyping with AI: Demonstrate your ability to create interactive prototypes that simulate real AI behavior, not just static mockups. This could include video walkthroughs or interactive prototypes using LLM playgrounds or specialized tools.

• Metrics and Impact: Quantify the impact of your designs using relevant UX metrics (task completion, user satisfaction, error reduction, efficiency gains) and explain how you measured success.

• Systemic Thinking: Illustrate how your designs scale across different use cases or platforms, showing an understanding of broader system architecture and user journeys.

Process Documentation:

• Workflow Design and Optimization: Provide examples of how you mapped out complex user workflows and designed conversational AI to streamline or automate them.

• Implementation and Automation: Detail your experience in translating design concepts into functional AI interactions, potentially involving collaboration with engineering on prompt implementation or API integrations.

• Measurement and Performance Analysis: Showcase how you defined success metrics for AI features and analyzed conversation logs or user behavior data to iterate and improve performance.

📝 Enhancement Note: For a role focused on Conversational AI UX, the portfolio needs to go beyond traditional UI/UX deliverables. It should explicitly demonstrate expertise in prompt engineering, AI behavior design, and the iterative refinement of AI-driven interactions using real-world data.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: €50,000 - €80,000 per year (Gross)

• Methodology: This estimate is based on market data for experienced UX Designers specializing in AI/Conversational AI in Central European countries like the Czech Republic. Factors considered include experience level (estimated 5-10 years), the specialized nature of the role (Conversational AI UX), and the tech industry's compensation trends in the region. Specific compensation will depend on the candidate's qualifications, experience, and exact location within the Czech Republic or if remote.

Benefits:

• Equity: Restricted Stock Units (RSUs) or Stock Options, depending on role seniority and location.

• Performance Bonus: Company performance bonus, rewarding collective success.

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

• Professional Development: $1,500 annual budget for courses, books, and certifications.

• Well-being:

  • Employee Assistance Program (EAP) for personal challenges.
  • Subscription to Calm (sleep and meditation app).
  • "DisConnect" Days: Additional paid days off quarterly for unwinding.
  • Facilitated sports, yoga, and meditation opportunities.
  • Extended parental leave (up to 26 weeks for primary caregivers).

• Volunteering: 5 paid days off for volunteering activities.

• Work Flexibility: Flexible working hours.

• Work Arrangement: Virtual-first with Bloomreach Hubs available; remote work is an option.

• Work Anniversaries: Recognition and rewards for "Bloomversaries."

Working Hours:

• Full-time basis, likely around 40 hours per week, with flexible working hours to accommodate individual working styles and regional time zones.

📝 Enhancement Note: The salary range is an educated estimate for the Czech Republic, factoring in the specialized nature of AI UX design. The benefits package is comprehensive, reflecting Bloomreach's investment in employee growth, well-being, and work-life balance, typical of competitive tech companies. The "virtual-first" approach with hubs and remote options provides significant flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce Personalization, AI, SaaS

Company Size: Bloomreach has a significant global presence, indicated by its multiple hubs and employee count (estimated 1000+ employees based on typical company profiles of this nature). This size suggests a company with established processes but still agile enough to innovate rapidly in the AI space.

Founded: Bloomreach was founded in 2009, giving it over a decade of experience in the e-commerce technology sector, allowing it to build a robust platform and deep industry expertise before the recent explosion in generative AI.

Team Structure:

• Operations Team: While not a traditional "operations" role, this position is part of the Product and Design organization, likely working within a "Product Trio" model (Product Manager, Engineering Lead, UX Designer).

• Reporting Structure: The Conversational AI UX Designer will likely report to a Lead UX Designer or Head of Design, who in turn reports to a VP of Product or similar senior leadership.

• Cross-functional Collaboration: The role is inherently cross-functional, requiring close collaboration with Product Managers, AI Engineers, Backend Engineers, Data Scientists, and potentially Marketing and Customer Success teams.

Methodology:

• Data Analysis and Insights: Emphasis on using data from conversation logs, user behavior analytics, and A/B testing to drive design decisions and measure the effectiveness of AI interactions.

• Workflow Planning and Optimization: Designing AI agents to streamline and automate complex marketer workflows, focusing on efficiency and user ease.

• Automation and Efficiency Practices: Core to the company's mission, this role directly contributes to building an "agentic platform" that automates tasks and reclaims creative work for marketers.

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

📝 Enhancement Note: Bloomreach is positioned as a leader in AI-driven personalization for e-commerce. The company culture appears to value trust, responsibility, and results, with a strong emphasis on defined values and behaviors embedded in their processes. The "virtual-first" model with hubs suggests a distributed but connected workforce.

📈 Career & Growth Analysis

Operations Career Level: This role is a specialized UX Design position focused on Conversational AI and AI Agent design. It sits at a mid-to-senior level, requiring demonstrated experience and the ability to operate independently on end-to-end projects. It's not a traditional Revenue or Sales Operations role but contributes to the operational efficiency of marketers using Bloomreach's platform.

Reporting Structure: The designer will likely be part of a product team, working closely with a Product Manager and Engineering Lead. They will report into a design leadership structure, possibly a Lead UX Designer or Head of Design, contributing to the overall product strategy and user experience vision.

Operations Impact: The impact is significant, as this role directly influences how marketers interact with and derive value from Bloomreach's AI capabilities. By designing intuitive and trustworthy AI experiences, this role will enhance marketer productivity, campaign effectiveness, and ultimately, customer loyalty and business growth for Bloomreach's clients. The success of the "agentic platform" hinges on the quality of these AI-driven user experiences.

Growth Opportunities:

• AI/Conversational Design Specialization: Deepen expertise in cutting-edge AI UX, becoming a go-to expert in prompt engineering, LLM interaction design, and agentic workflow optimization.

• Leadership in AI Design Practices: Opportunities to mentor junior designers, help define best practices for AI/agent design within Bloomreach, and potentially lead design initiatives for new AI features.

• Cross-functional Influence: Grow influence across Product and Engineering by shaping the strategic direction of AI integration and user experience.

• Product Strategy Contribution: Contribute to the evolution of Bloomreach's AI strategy and platform, potentially moving into more senior design or product roles.

📝 Enhancement Note: While not a direct "operations" role, the impact on the operational efficiency of Bloomreach's marketer users is substantial. Growth opportunities are geared towards specialization in the high-demand field of AI UX and influencing product strategy.

🌐 Work Environment

Office Type: Bloomreach operates on a "virtual-first" model with physical "Hubs" in various locations. This suggests a flexible environment that supports remote work while offering physical spaces for collaboration, meetings, and team events when needed.

Office Location(s): While the primary posting is "Czechia," the company has hubs across North America, Europe, and Asia. This distributed model allows for global talent acquisition and collaboration across time zones.

Workspace Context:

• Collaborative Environment: The virtual-first model necessitates strong digital collaboration tools and practices. The existence of Hubs implies opportunities for in-person collaboration and team building.

• Operations Tools and Technology: Expect access to modern design software, collaboration platforms (e.g., Slack, Miro, Figma), and potentially specialized AI/LLM prototyping tools.

• Operations Team Interaction: Designers are expected to work closely with Product Managers and Engineers, fostering a highly integrated and iterative development process.

Work Schedule: Flexible working hours are explicitly mentioned, accommodating different working styles and time zones. While full-time, the emphasis is on results rather than strict clock-in/clock-out policies.

📝 Enhancement Note: The "virtual-first" model with physical hubs is a key differentiator, offering a blend of remote flexibility and in-person collaboration opportunities. This structure is well-suited for a globally distributed team working on cutting-edge technology.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely review applications and conduct an initial screening call to assess basic qualifications, cultural fit, and interest.

• Portfolio Review: A key stage will involve presenting your portfolio, focusing on relevant Conversational AI UX case studies. Be prepared to discuss your design process, decision-making, and the impact of your work.

• Design Exercise/Challenge: You may be asked to complete a take-home design exercise or participate in a live design session. This will likely focus on designing a conversational flow or solving a specific AI UX problem.

• Team Interviews: Interviews with Product Managers, Engineers, and fellow Designers to assess collaboration skills, technical understanding, and domain expertise.

• Hiring Manager Interview: A final interview with the hiring manager to discuss strategic alignment, career aspirations, and overall fit.

Portfolio Review Tips:

• Highlight AI/Conversational Work: Prioritize case studies that specifically showcase your experience with Conversational AI, AI agents, prompt engineering, or LLM-based product features.

• Demonstrate Process: Clearly articulate your design process, from problem definition and research to ideation, prototyping, testing, and iteration. For AI roles, this includes how you approached prompt design and AI behavior shaping.

• Quantify Impact: Use metrics to demonstrate the success of your designs. For AI, this could include task completion rates, reduction in user errors, improved user satisfaction, or increased efficiency.

• Showcase Prototyping Skills: Include examples of interactive prototypes, especially those that simulate AI behavior. Explain the tools you used and why.

• Explain Your Role: Be clear about your specific contributions within team projects.

• Company-Specific Context: Research Bloomreach's products and mission. Tailor your presentation to show how your skills align with their AI-first approach and personalization goals.

Challenge Preparation:

• Understand the Problem: Thoroughly analyze the prompt or scenario provided for any design challenge. Ask clarifying questions if needed.

• Focus on AI Nuances: Consider the unique challenges of designing for generative AI – ambiguity, potential for errors, the need for transparency, and user trust.

• Structure Your Approach: Outline your design process, including user considerations, potential AI interactions, and how you would measure success.

• Present Clearly: Be prepared to articulate your design rationale, trade-offs, and next steps concisely and effectively.

📝 Enhancement Note: The emphasis on a portfolio review and design challenge tailored to AI/conversational experiences is critical. Candidates should prepare to showcase specific skills in prompt engineering and AI behavior design, not just general UX.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite, specialized AI prototyping tools (e.g., Claude Code, LLM playgrounds like OpenAI Playground, Anthropic's playground).

• Collaboration: Slack, Miro, Jira, Confluence.

• AI/LLM Platforms: Experience with or understanding of major LLM providers (e.g., OpenAI, Anthropic, Google AI) and their APIs.

Analytics & Reporting:

• Product Analytics Tools: Google Analytics, Amplitude, Mixpanel, or similar platforms for tracking user behavior.

• Data Visualization Tools: Tableau, Power BI, Looker (or internal equivalents) for analyzing and presenting data insights.

CRM & Automation:

• CRM Systems: Familiarity with Salesforce, HubSpot, or similar CRM platforms (as a user or designer of integrated features).

• Marketing Automation Platforms: Experience with tools like Marketo, Pardot, or Bloomreach's own marketing solutions.

• Integration Tools: Understanding of how different systems connect and data flows between them.

📝 Enhancement Note: This role requires proficiency in standard UX design tools and a practical understanding of AI/LLM technologies and how they integrate into SaaS products. Familiarity with marketing technology stacks is also a significant advantage.

👥 Team Culture & Values

Operations Values:

• Freedom and Trust: Bloomreach emphasizes autonomy and responsibility, expecting results from day one without excessive oversight. This translates to a culture where initiative and ownership are highly valued.

• Defined Values & Behaviors: The company has 5 core values and 10 key behaviors that are integrated into all processes, promoting a consistent and principled approach to work. Expect a focus on accountability, collaboration, and customer-centricity.

• Flexibility: Flexible working hours and a virtual-first approach reflect a commitment to work-life balance and accommodating individual needs.

• Results-Oriented: The focus is on outcomes and impact, rather than adherence to rigid corporate rules or long approval chains.

• Data-Driven: Decisions are expected to be informed by data, including user behavior, conversation logs, and performance metrics.

Collaboration Style:

• Cross-functional Integration: Strong emphasis on working closely with Product Managers and Engineers in a "product trio" model, fostering a highly collaborative and iterative design process.

• Process Review & Feedback: A culture that likely encourages open feedback and continuous improvement of design and development processes.

• Knowledge Sharing: Encouragement of sharing best practices, learnings, and insights, especially within specialized areas like AI UX design.

📝 Enhancement Note: Bloomreach's culture appears to be a blend of startup agility (freedom, trust) and established company structure (defined values, processes). The emphasis on results and data aligns well with operations-minded professionals.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Generative AI outputs can be unpredictable. Designing user experiences that manage uncertainty, provide clear guardrails, and build trust is a significant challenge.

• Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in AI technology and understanding how to best leverage new capabilities for user benefit.

• Balancing Innovation with Usability: Integrating cutting-edge AI features without overwhelming or confusing non-technical users, ensuring the product remains accessible and valuable.

• Defining and Measuring AI UX Success: Establishing clear, quantifiable metrics for conversational AI interactions and demonstrating ROI for AI-driven features.

• Cross-functional Alignment: Ensuring consistent understanding and execution of AI UX strategies across Product, Engineering, and Design teams.

Learning & Development Opportunities:

• AI/Conversational Design Specialization: Opportunities to become a leading expert in a highly sought-after field through hands-on experience and continuous learning.

• Industry Conferences & Certifications: Access to a professional education budget ($1,500 annually) that can be used for relevant AI, UX, or product management courses and certifications.

• Mentorship & Leadership: Potential to mentor junior designers and contribute to shaping the AI design practices within Bloomreach, offering leadership development.

📝 Enhancement Note: The challenges are directly related to the cutting-edge nature of Conversational AI design, offering significant opportunities for professional growth and skill development in a high-demand area.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a conversational AI assistant that helps marketers create complex campaign segments?" (Focus on your process, user considerations, prompt strategy, and how you'd handle ambiguity.)

• "Describe a time you had to balance user needs with technical limitations or AI capabilities. What was your approach?" (Highlight your problem-solving skills, collaboration, and ability to find creative solutions.)

• "How do you ensure AI interactions are trustworthy and transparent for users who may not understand the underlying technology?" (Discuss guardrails, explanations, and user education strategies.)

Company & Culture Questions:

• "What excites you about Bloomreach's mission and our agentic platform approach?" (Research Bloomreach's vision and tailor your response to show genuine interest.)

• "How do you see your role contributing to Bloomreach's values of freedom, trust, and results?" (Connect your work style and approach to their core values.)

Portfolio Presentation Strategy:

• Focus on AI: Select 2-3 case studies that most strongly demonstrate your

Conversational AI UX, prompt engineering, and LLM prototyping skills.

• Structure Your Narrative: For each case study, clearly outline:

  • The Problem: What user or business challenge were you solving?
  • Your Role & Process: What was your specific contribution? Detail your design thinking, research, ideation, and iteration.
  • AI/LLM Integration: Explain how AI was used, the prompts you designed, and any LLM tools you employed.
  • Prototypes & Testing: Show your prototypes and how you tested them, especially focusing on AI behavior.
  • Outcome & Impact: Quantify results with metrics and discuss lessons learned.

• Be Ready for Deep Dives: Expect questions about your prompt design rationale, how you handled specific AI limitations, and your iterative process based on user feedback or data.

• Showcase Systems Thinking: Explain how your designs fit into a larger product ecosystem and how they scale.

📝 Enhancement Note: Interview preparation should strongly emphasize demonstrating practical experience with AI/LLM tools and conversational design principles. Candidates should be ready to discuss their understanding of AI limitations and how they design around them.

📌 Application Steps

To apply for this Conversational AI UX Designer position:

• Submit Your Application: Complete and submit your application through Bloomreach's careers portal.

• Tailor Your Resume: Ensure your resume highlights keywords such as "Conversational AI," "UX Design," "Prompt Engineering," "LLM," "SaaS," "AI Agent Design," and any relevant tools or methodologies. Quantify achievements where possible.

• Curate Your Portfolio: Prepare a portfolio that prominently features case studies demonstrating your experience with AI-powered or conversational interfaces. Prioritize examples of prompt design, AI prototyping, and iterative improvements based on user data or AI behavior analysis.

• Research Bloomreach: Understand Bloomreach's mission, their AI-first approach, and their "agentic platform" concept. Familiarize yourself with their existing products and target audience (marketers).

• Prepare for Interview Stages: Be ready for screening calls, portfolio presentations, potential design challenges, and interviews with various team members. Practice articulating your design process and the impact of your work, especially concerning AI interactions.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. Specific details about responsibilities, qualifications, and the interview process should be verified directly with Bloomreach during the application process.