Senior Product Designer – Enterprise AI Platform

📍 Job Overview

Job Title: Senior Product Designer – Enterprise AI Platform

Company: deepset GmbH

Location: Berlin, Germany / Barcelona, Spain

Job Type: Full-time

Category: Product Design / UX/UI

Date Posted: October 17, 2025

Experience Level: 5-10 years

Remote Status: Remote Solely

🚀 Role Summary

• Lead the end-to-end product design process for an enterprise AI platform, focusing on simplifying technical complexity for developers, AI Engineers, and enterprise users.

• Drive user research, journey mapping, prototyping, UI, and interaction design to create intuitive, powerful, and delightful user experiences for AI-powered tools.

• Collaborate closely with Product Management, Engineering, and AI experts to shape product strategy and deliver high-quality, user-centered solutions.

• Establish and evolve a scalable design system to ensure consistency, usability, accessibility, and technical accuracy across all product surfaces.

• Champion best practices and strengthen the design culture within a remote-first, trust-and-ownership-driven environment.

📝 Enhancement Note: While the provided job description focuses on Product Design, the nature of the "Enterprise AI Platform" and "developer tools" suggests a strong need for operations-minded thinking regarding workflow efficiency, system integration, and user enablement for complex technical processes. This role will require a deep understanding of how technical users interact with complex systems and how to optimize those interactions for productivity and adoption.

📈 Primary Responsibilities

• Own the complete product design lifecycle from initial concept and user research to final implementation and iteration for the enterprise AI platform and associated developer tools.

• Translate highly technical concepts, including LLM orchestration, AI pipelines, data governance, analytics, and observability, into intuitive and efficient user workflows and interfaces.

• Conduct user research, interviews, and usability testing with technical audiences (developers, AI engineers, enterprise users) to deeply understand their pain points, workflows, and needs.

• Advocate for the user by translating research insights into actionable design improvements that enhance product usability, power, and overall user satisfaction.

• Partner effectively with Product Managers, Software Engineers, and AI specialists throughout the agile development process, contributing to product strategy discussions and roadmap planning.

• Maintain, evolve, and promote the use of a comprehensive design system, ensuring consistency, accessibility, and scalability across all client and developer-facing interfaces.

• Elevate the design discipline within deepset by promoting design best practices, fostering a collaborative design culture, and championing design-led product development.

• Contribute to the strategic vision of the AI platform by identifying opportunities for design to drive user adoption, engagement, and business value.

📝 Enhancement Note: The emphasis on "simplifying technical complexity" and designing for "technical workflows" strongly implies a need for the candidate to understand and optimize operational efficiency for end-users. This goes beyond typical UI/UX and touches on principles of workflow automation, data management, and process streamlining within the context of AI development and deployment.

🎓 Skills & Qualifications

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

Experience: 5+ years of dedicated experience in product design, with a significant focus on complex B2B/SaaS products. Proven experience designing for technical workflows, developer tools, or data/AI platforms is highly desirable. A strong track record of successfully shipping solutions that address intricate technical challenges.

Required Skills:

• Systems Thinking: Ability to perceive complex problems as interconnected systems, understanding relationships and dependencies between design elements, user workflows, and technical components.

• Full-Stack Design Capabilities: Proficiency across the entire design spectrum, including user research, journey mapping, information architecture, wireframing, prototyping (e.g., Figma, Sketch, Adobe XD), UI design, interaction design, and seamless handoff to development teams.

• Technical Acumen: Confidence and ability to engage with engineers, understand APIs, data flows, and abstract technical concepts, translating them into tangible and user-friendly designs.

• User Empathy & User-Centeredness: A genuine commitment to understanding and advocating for user outcomes, backed by a robust portfolio demonstrating research-informed design decisions.

• Collaboration & Influence: Excellent communication and interpersonal skills, with a proven ability to collaborate effectively across diverse teams (Product, Engineering, AI) and influence product strategy through stakeholder alignment.

• Craft & Pragmatic Iteration: A keen eye for detail and visual polish, balanced with the ability to iterate rapidly and pragmatically, understanding when to perfect and when to prioritize speed to market.

• Passion for Building: A demonstrable passion for creating exceptional software that users will value and that the designer can be proud of.

Preferred Skills:

• Experience designing for developer platforms, open-source projects, AI/ML software, enterprise products, or technically challenging SaaS solutions.

• Familiarity with AI/ML concepts, LLM orchestration, data pipelines, and related enterprise software domains.

• Experience with establishing and scaling design systems.

📝 Enhancement Note: The "Technical Acumen" and "Systems Thinker" requirements are crucial for operations-focused candidates. They indicate a need to not just design interfaces, but to understand the underlying technical processes and how to optimize them for efficiency and effectiveness, which is a core tenet of revenue and sales operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design projects, highlighting your involvement from initial research and ideation through to final implementation and iteration.

• Include detailed case studies that demonstrate your approach to simplifying complex technical challenges and improving user workflows, particularly within B2B/SaaS or developer tool contexts.

• Present clear examples of how you have translated abstract technical requirements (e.g., APIs, data flows, AI processes) into intuitive and actionable user interfaces.

• Demonstrate your ability to maintain and evolve design systems, showcasing consistency, scalability, and adherence to usability and accessibility standards.

Process Documentation:

• Projects should clearly articulate the user research methodology employed, including how user insights were gathered and how they informed design decisions.

• Detail the iterative design process, including wireframing, prototyping, user testing, and how feedback was incorporated to refine solutions.

• Showcase your approach to cross-functional collaboration, illustrating how you partnered with Product Managers and Engineers throughout the design and development lifecycle.

• Provide examples of how you've contributed to or managed design systems, including components, guidelines, and their impact on product consistency.

📝 Enhancement Note: For a role like this, a portfolio should not just display visual design but should tell a story of problem-solving and process optimization. Candidates should be prepared to discuss the "why" behind their design choices, focusing on how their solutions improve user efficiency and streamline complex technical operations.

💵 Compensation & Benefits

Salary Range: Given the Senior Product Designer title, 5+ years of experience, and locations in Berlin and Barcelona, a competitive salary range is expected.

• Berlin, Germany: Approximately €65,000 - €90,000 per year.

• Barcelona, Spain: Approximately €55,000 - €80,000 per year. These ranges are estimates based on industry benchmarks for Senior Product Designers in these regions, considering the company's focus on AI and enterprise software. Actual compensation will depend on experience, skills, and interview performance.

Benefits:

• Remote-First Setup: Enjoy the flexibility of working remotely with an emphasis on asynchronous communication and flexible working hours.

• Generous Vacation: 30 days of paid vacation per year, plus additional days allocated for family sick leave.

• Competitive Compensation: Includes a competitive salary and stock options for every team member, fostering a sense of ownership and shared success.

• Wellness Support: Monthly allowance for sports and mental health support, including access to resources like Oliva.

• Professional Development: An annual budget dedicated to learning and development, supporting continuous skill enhancement and career growth.

• Team Engagement: Regular monthly team socials and in-person meetups to foster connection and collaboration within the remote team.

• Dog-Friendly Office: The Berlin HQ is dog-friendly, welcoming canine companions.

Working Hours: Flexible working hours are offered within a remote-first setup, allowing for adaptability to personal schedules while ensuring alignment for collaborative tasks and team synchronization. A standard full-time role typically involves around 40 hours per week.

📝 Enhancement Note: The benefits package, particularly the "Competitive Salary & Stock Options for Every Team Member" and "Annual Learning & Development Budget," suggests a company that values long-term employee commitment and growth, which is highly attractive to operations professionals seeking stability and advancement. The flexibility in working hours is also a key operational consideration for balancing complex tasks.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Software, Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP). deepset GmbH operates at the forefront of AI, specifically focusing on making custom AI solutions accessible to organizations through their Haystack framework and enterprise-ready AI Platform.

Company Size: The specific size isn't provided, but the mention of "every team member" receiving stock options and having a "dog-friendly Berlin HQ" suggests a growing, likely mid-sized company (e.g., 50-200 employees) that retains a close-knit, ownership-driven culture.

Founded: deepset was founded in 2018, indicating a company with established traction in the AI space but still in a growth phase, offering opportunities for impact and shaping future processes.

Team Structure:

• The design team likely operates within a Product department, collaborating heavily with Product Management and Engineering.

• Reporting structure likely involves a Design Lead or Head of Product, with Senior Designers contributing to strategic direction and mentoring junior members.

Methodology:

• Data Analysis & Insights: A strong emphasis on data to inform design decisions, leveraging user analytics, research insights, and performance metrics.

• Workflow Planning & Optimization: A core focus on designing efficient and intuitive workflows for complex technical processes, aiming to reduce cognitive load and improve user productivity.

• Automation & Efficiency: Designing solutions that automate repetitive tasks and streamline operational processes for users of the AI platform.

Company Website: https://deepset.ai/

📝 Enhancement Note: The company's mission to "make custom AI solutions accessible" and its focus on "transforming complex AI into solutions that are simple, powerful, and ready for the real world" directly align with the operational goals of optimizing processes and making complex technologies user-friendly and effective.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role, indicating a level of expertise, autonomy, and influence. For operations professionals, this translates to a role where strategic thinking, process optimization, and cross-functional leadership are expected. The focus is on impacting the user experience of complex technical systems, which mirrors the impact of operations roles on business processes and revenue.

Reporting Structure: The Senior Product Designer will likely report to a Head of Product, Design Lead, or a similar senior leadership role within the product development organization. They will work closely with Product Managers and Engineering Leads, forming a core product triad.

Operations Impact: While not a direct "operations" role, the impact is significant. By simplifying the enterprise AI platform and developer tools, this role directly influences:

• Developer Productivity: Enabling faster and more efficient development of AI applications.

• Enterprise Adoption: Making complex AI accessible to a wider range of business users, driving value realization.

• Operational Efficiency: Streamlining the processes involved in building, deploying, and managing AI solutions.

• Scalability: Designing systems that can scale with user growth and increasing complexity.

Growth Opportunities:

• Specialization: Deepen expertise in AI/ML product design, developer tools, or enterprise SaaS design.

• Leadership: Transition into a Design Lead or Manager role, overseeing a team and shaping design strategy.

• Product Strategy: Influence product roadmap and strategy through design-led insights and innovation.

• Cross-Functional Expertise: Gain deeper understanding of AI/ML technologies and enterprise business processes.

📝 Enhancement Note: The career path for a Senior Product Designer in a tech company like deepset offers analogous growth opportunities to senior roles in operations. Both involve strategic thinking, process improvement, cross-functional leadership, and significant business impact, often leading to management or strategic advisory roles.

🌐 Work Environment

Office Type: The company operates on a "remote-first" model, emphasizing flexibility and asynchronous work. While they have a "dog-friendly Berlin HQ," this is likely a hub for occasional meetups, collaboration, and those who prefer an office environment, rather than a mandatory daily workspace.

Office Location(s):

• Berlin, Germany: Zinnowitzer Str. 1, 10115 Berlin. This location serves as a primary hub.

• Barcelona, Spain: Address details not provided, but it's an available location for this role.

Workspace Context:

• Collaborative Environment: Despite being remote-first, the culture fosters collaboration through regular team socials, in-person meetups, and strong digital communication tools.

• Operations Tools & Technology: Access to modern design and collaboration tools is expected, supporting efficient workflow design and project management.

• Team Interaction: Opportunities for direct interaction with product managers, engineers, and AI experts are frequent, allowing for rich cross-pollination of ideas and problem-solving.

Work Schedule: Flexible working hours are a key feature of the remote-first setup. This allows operations professionals to manage their schedules effectively, balancing deep work on complex design challenges with personal commitments, while ensuring availability for critical team syncs and stakeholder meetings.

📝 Enhancement Note: The remote-first and flexible hours are significant operational advantages. They allow for optimized work patterns, reduced commute stress, and better integration of work with personal life, all contributing to improved overall productivity and well-being, which are key operational goals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call to assess basic qualifications, cultural fit, and understanding of the role.

• Portfolio Review & Deep Dive: A dedicated session where candidates present their portfolio, focusing on 2-3 key projects. This is where the emphasis will be on process, problem-solving, and impact. Expect detailed questions about your design decisions, user research methodology, and how you handled technical complexity.

• Technical/Design Challenge: Potentially a take-home assignment or a live design exercise focusing on a specific problem related to the AI platform or developer tools. This will assess your ability to apply your skills to real-world scenarios.

• Team Interviews: Meetings with Product Managers, Engineers, and potentially other designers to assess collaboration style, technical acumen, and cultural alignment.

• Final Interview: Likely with a senior leader (e.g., Head of Product, CEO) to discuss strategic vision, long-term impact, and overall fit.

Portfolio Review Tips:

• Focus on Process & Problem-Solving: Clearly articulate the problem you were trying to solve, your research methodology, and the iterative steps you took. Emphasize how you simplified complexity and optimized user workflows.

• Quantify Impact: Use metrics wherever possible (e.g., improved task completion time, increased user adoption, reduced error rates). If quantitative data isn't available, use qualitative user feedback effectively.

• Showcase Technical Understanding: Highlight projects where you successfully designed for technical users or complex systems. Explain your understanding of APIs, data flows, or AI concepts as they pertained to your design.

• Demonstrate Design System Expertise: If you've worked with or built design systems, explain their benefits and how they ensure consistency and scalability.

• Tell a Story: Structure your presentation like a narrative, guiding the interviewers through your thought process and the journey of your design solution.

Challenge Preparation:

• Understand the Domain: Research deepset, Haystack, LLMs, AI platforms, and developer tools. Familiarize yourself with common technical workflows and pain points in these areas.

• Focus on Efficiency: For any design challenge, consider how your solution will improve the operational efficiency and productivity of the target user.

• Communicate Your Rationale: Be prepared to clearly articulate the reasoning behind your design choices, especially in a time-constrained scenario.

📝 Enhancement Note: For candidates with operations backgrounds, framing portfolio projects around process optimization, efficiency gains, and stakeholder alignment will be highly effective. Demonstrating an understanding of how design impacts the user's ability to perform their operational tasks efficiently will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable, industry standard), Sketch, Adobe XD.

• User Research & Testing: Tools like UserTesting.com, Maze, Dovetail, or internal methods.

• Collaboration & Project Management: Jira, Confluence, Asana, Trello.

Analytics & Reporting:

• Product Analytics: Tools like Amplitude, Mixpanel, Google Analytics (for web-based components).

• Data Visualization: Tableau, Power BI (for understanding platform usage data and informing design).

CRM & Automation:

• While not directly a design tool, familiarity with how CRMs (e.g., Salesforce) and marketing automation platforms function can provide context for enterprise B2B SaaS products.

• Understanding of API concepts and data integration is crucial for designing scalable platforms.

📝 Enhancement Note: While this role is design-focused, a strong understanding of the tools used in operations (Jira, Confluence, Amplitude) will demonstrate an ability to integrate seamlessly into a product development workflow and appreciate the operational context of user needs. Familiarity with APIs and data flows is paramount for designing for technical users.

👥 Team Culture & Values

Operations Values:

• Ownership & Trust: Employees are trusted and empowered to take ownership of their work, driving initiatives and solutions independently. This aligns with an operations mindset of accountability and proactive problem-solving.

• Simplicity & Power: A commitment to transforming complex AI into powerful yet simple-to-use solutions, reflecting an operational goal of making intricate processes manageable and effective.

• User-Centricity: A deep focus on user outcomes and empathy, ensuring that designs and product features genuinely solve user problems and enhance their experience.

• Collaboration & Transparency: Open communication and close collaboration across teams are essential for success, fostering a supportive and efficient working environment.

• Continuous Learning: Encouragement to learn and grow, staying ahead of the curve in the rapidly evolving AI landscape, which is vital for operations professionals adapting to new technologies and methodologies.

Collaboration Style:

• Cross-functional Integration: Designers are integral to product teams, working hand-in-hand with PMs and Engineers from ideation through launch.

• Process Review & Feedback: A culture that values constructive feedback and collaborative refinement of designs and processes.

• Knowledge Sharing: Encouragement to share insights, best practices, and learnings across the team and organization to foster collective growth.

📝 Enhancement Note: The emphasis on "ownership," "simplicity," and "user-centricity" directly mirrors core values often found in successful operations teams. These values drive efficiency, effectiveness, and a focus on delivering tangible business value.

⚡ Challenges & Growth Opportunities

Challenges:

• Simplifying Extreme Complexity: The primary challenge will be translating highly abstract and complex AI/ML concepts (LLM orchestration, pipelines, governance) into intuitive and usable interfaces for diverse technical user groups.

• Balancing Power with Usability: Striking the right balance between providing powerful, granular control for expert users and maintaining ease of use for those less familiar with advanced AI concepts.

• Evolving Design System: Maintaining and scaling a design system for a rapidly evolving AI platform requires continuous adaptation and foresight.

• Remote Collaboration Dynamics: Ensuring effective communication, collaboration, and cultural cohesion within a distributed, remote-first team.

Learning & Development Opportunities:

• AI/ML Specialization: Gain deep domain expertise in AI, ML, and LLM technologies, becoming a specialist in designing for this cutting-edge field.

• Advanced Design Systems: Contribute to and potentially lead the evolution of a sophisticated design system for a complex enterprise platform.

• Product Strategy Influence: Develop skills in shaping product direction and strategy through design leadership and data-driven insights.

• Cross-Disciplinary Growth: Enhance understanding of software engineering, AI research, and enterprise business operations through close collaboration.

📝 Enhancement Note: The challenges presented are akin to those faced in operations – managing complexity, driving efficiency, and adapting to rapid technological change. The growth opportunities in specialization and strategic influence are also highly relevant to operations professionals looking to advance their careers.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an interface for an LLM orchestration pipeline that needs to be both powerful for expert users and understandable for less technical stakeholders?" (Focus on process simplification, user segmentation, and clear visualization of complex flows).

• "Describe a time you had to simplify a technically complex feature for a B2B/SaaS product. What was your process, and what was the outcome?" (Emphasize research, iterative design, and measurable impact on user efficiency).

Company & Culture Questions:

• "What excites you about deepset's mission to make custom AI solutions accessible?" (Show genuine interest in the company's impact and technology).

• "How do you contribute to a design culture, especially in a remote-first environment?" (Highlight proactive communication, knowledge sharing, and championing best practices).

Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of the company/problem, then dive into your specific role and contributions. Detail your process, challenges, and solutions. Conclude with the impact and learnings.

• Focus on Workflow Optimization: For each project, explicitly explain how your design simplified a user's workflow, reduced cognitive load, or improved their operational efficiency.

• Quantify Results: Present metrics clearly. If quantitative data is unavailable, use strong qualitative user feedback or demonstrable improvements in task completion.

• Be Prepared for Technical Questions: Anticipate questions about your understanding of APIs, data structures, or AI concepts as they relate to your designs.

📝 Enhancement Note: For operations-minded candidates, the strategy questions offer a chance to highlight their understanding of process optimization and user efficiency. Framing portfolio projects around these themes will resonate strongly with the hiring team.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on deepset's careers page.

• Tailor your Resume: Highlight experience with B2B/SaaS, complex systems, developer tools, and user workflow optimization. Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 projects that best showcase your ability to simplify technical complexity, your end-to-end design process, and your user-centered approach. Explicitly detail the operational impact of your designs.

• Prepare Your Presentation: Practice presenting your portfolio projects, focusing on your problem-solving methodology, user research, and the quantifiable or qualitative impact of your solutions, especially regarding user efficiency.

• Research deepset: Understand their mission, their Haystack product, and the AI/ML landscape. Be ready to articulate why you are a good cultural and strategic fit for a remote-first, AI-focused company.

⚠️ 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.

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