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À propos
Czechia Bloomreach is building the world's premier agentic platform for personalization. We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. We're looking for a Conversational AI UX Designer to define how Loomi (our AI) talks, listens, and guides marketers through their day-to-day work in Bloomreach. You'll design AI-first experiences across chat, in-product assistants, and agentic workflows that help marketers create, edit, and understand complex campaigns — without needing to be data scientists or developers. You'll work closely with other designers, product managers, and engineers to shape how our agents behave: what they say, what they show, when they ask for more input, and when they quietly handle things on their own. Your work will directly influence how customers trust, understand, and get value from AI in their campaign workflows. This is a highly collaborative, hands-on role. You'll spend a lot of time co-framing problems with teammates, running working sessions, prototyping conversation flows, and iterating quickly together. This role offers the possibility of working in one of our Central European offices or from home on a full-time basis. What You'll Do
Design conversational and agentic experiences for marketers Design and iterate on chat and assistant experiences that help marketers brief campaigns, review proposals, and refine multi-step workflows. Develop and evaluate conversational flows (prompting, turn-taking, error recovery) across in-product chat, side panels, and embedded agent UIs. Shape Loomi's voice and tone for marketer workflows: when it should be directive vs. exploratory, when it should show its reasoning, and how it communicates uncertainty. Treat prompts, context, and reasoning as core design artifacts
Use prompt and context engineering to steer agent behavior: system prompts, tool selection hints, and contextual grounding from customer data. Design for the realities of generative AI — probabilistic outputs, uncertainty, hallucinations, and graceful failure states — with clear guardrails and recovery paths. Collaborate with PM and engineering partners to turn prompts, tools, and policies into a coherent UX model that can be evolved over time. Prototype with real AI behavior, not just static UIs
Build and test AI-native prototypes using tools like Claude Code plus working LLM/playground setups (e.g., prompt sandboxes, scripted flows) so teams can experience real behavior, not just mock copy. Create prototypes that exercise both happy paths and edge cases (ambiguous prompts, missing data, conflicting inputs) and use those to drive design decisions. Use data and conversation logs to drive iteration
Define and track success metrics for agent UX, such as task completion, follow-up questions needed, error recovery, user edits after agent changes, and perceived trust. Work with data and product analytics to mine conversation logs and user behavior for friction points, misunderstandings, and opportunities to improve flows. Turn insights from real usage into concrete design changes (updated prompts, new clarification turns, different defaults, revised fallbacks). Champion quality, safety, and transparency
Define and help maintain evaluation criteria (evals) for agent responses from a UX lens — clarity, accuracy, safety, tone, and "did this actually help the marketer move forward?". Distinguish between model limitations and UX issues, and advocate for human-centered guardrails (e.g., when to ask for confirmation, when not to auto-apply changes, what to keep behind explicit opt-in). Design clear explanations and "why" moments so marketers can understand key decisions (segments, timing, splits) without reading a wall of AI output. What We're Looking For
Requirements
Demonstrated experience designing for conversational, assistant, or AI-powered experiences — chat, copilots, agents, or similar. Experience in product/UX design, bonus for complex web-based or SaaS products. Strong collaboration and communication skills, with a track record of: Working closely with PMs, engineers, and other designers from problem framing through launch. Leading or facilitating design reviews, workshops, or working sessions. Explaining design decisions clearly to both technical and non-technical partners. Hands-on experience with LLM-driven tools in your own work, for example: Using chat assistants or copilots to explore ideas, draft content, or accelerate design/development tasks. Prototyping or shipping AI-powered or assistive product features, ideally where the system suggests or acts on behalf of the user. Comfort treating prompts, context, and evaluation criteria as design materials — not just UI text. A systems mindset — you think about how patterns scale across surfaces, use cases, and agents, and when it's appropriate to introduce something new. Ability to work independently on end-to-end projects while staying tightly aligned with your product trio and design peers. Nice to Have
Experience designing for marketing automation, CRM, messaging, or workflow-driven products, especially for non-technical users. Familiarity with design systems and component libraries (as a contributor or consumer), and comfort extending patterns into conversational/agent surfaces. Experience partnering with data and research to analyze conversation logs, define success metrics, and run structured experiments. Experience mentoring other designers, or helping teams improve their AI/agent design practices, documentation, or ways of working. If you're excited about collaborative problem-solving, curious about how conversational AI can make marketers' lives better, and love turning ambiguous agent behavior into clear, trustworthy experiences, we'd love to meet you. More Things You'll Like About Bloomreach
Culture:
A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review, and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*. The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5. Personal Development:
We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the
Compétences linguistiques
- English
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