Senior Product Designer B2C (m/w/d)

📍 Job Overview

Job Title: Senior Product Designer B2C (m/f/d)

Company: Rabot Energy

Location: Hamburg, Germany

Job Type: Full-time

Category: Product Design / GTM Operations

Date Posted: 2026-07-24

Experience Level: Senior (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Drive significant growth in B2C customer acquisition and retention through end-to-end product design ownership of conversion and winback funnels.

• Implement and lead an AI-first design process, integrating AI tools for enhanced testing, synthesis, and data-informed decision-making.

• Collaborate closely with engineering teams, directly contributing to the codebase through Git, pull requests, and merging for production deployment, blurring the lines between design and development.

• Define design goals, prioritize user problems, and translate insights into intuitive flows, interactions, and a consistent user interface, ensuring a seamless user experience across the customer journey.

📝 Enhancement Note: The role emphasizes a hybrid "AI-first" and "code-fluent" design approach, requiring candidates to not only conceptualize and design but also to directly engage with the codebase and leverage AI for accelerated product development cycles. This is a key differentiator for this Senior Product Designer position within a fast-growing tech company.

📈 Primary Responsibilities

• Lead the complete B2C product design lifecycle for both conversion and winback funnels, from initial hypothesis generation and user research to validated prototypes and measurable outcomes.

• Define strategic design objectives aligned with key growth metrics such as conversion rates, customer retention, and winback success.

• Conduct rigorous user research and discovery processes, translating complex user needs and behavioral patterns into actionable design solutions.

• Develop and maintain a robust Design System, ensuring UI consistency, accessibility, and scalability across all B2C product touchpoints.

• Champion the adoption and refinement of an AI-first design methodology, leveraging AI tools for efficient user testing, data synthesis, and informed design iterations.

• Collaborate closely with Product Managers to align design initiatives with product strategy and roadmap, ensuring timely delivery of high-impact features.

• Partner with Engineering teams to facilitate seamless design implementation, actively participating in code reviews, Git workflows (branches, pull requests), and production merges.

• Work cross-functionally with Growth, Marketing, and Operations teams to gather insights, align on strategy, and ensure a cohesive customer experience.

• Continuously analyze A/B test results and experiment outcomes to drive iterative improvements and optimize funnel performance.

• Maintain excellent communication and stakeholder management, clearly articulating design decisions and their impact to various internal teams.

📝 Enhancement Note: The responsibilities highlight a strong focus on measurable outcomes (conversion, retention, winback rate) and direct integration with the development process (Git, codebase iteration). This suggests the company values a highly data-driven and technically integrated design function, moving beyond traditional design roles.

🎓 Skills & Qualifications

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

Experience: 5-10 years of progressive experience in product design, with a significant focus on B2C applications and user acquisition/retention funnels.

Required Skills:

• End-to-End Product Design Ownership: Proven ability to manage the entire design process from discovery and research through to validated, measurable outcomes.

• User Research & Discovery: Expertise in conducting user interviews, usability testing, and leveraging qualitative and quantitative data to define problems and validate solutions.

• UX/UI Design Expertise: Strong command of user experience principles, user interface design, interaction design, and information architecture.

• Design Systems: Experience in creating, maintaining, and scaling design systems for consistency and efficiency.

• AI-First Design & Prototyping: Proficiency in utilizing AI tools for research synthesis, rapid testing, and prototyping; experience with tools like Claude Code is a plus.

• Code Fluency & Collaboration: Demonstrated comfort with direct code iteration, including familiarity with Git, pull requests, linting, and merging code into production.

• Data-Driven Decision Making: Ability to define and track key performance indicators (KPIs), design for conversion and retention, and interpret A/B test results.

• Communication & Stakeholder Management: Excellent verbal and written communication skills, with a proven ability to effectively manage stakeholders and collaborate across teams.

• Language Proficiency: Very good command of both German and English.

Preferred Skills:

• Experience with e-commerce platforms and funnel optimization strategies.

• Foundational understanding of statistics and experimental design for product testing.

• Familiarity with data visualization tools and techniques.

• Experience working in a fast-paced, high-growth startup environment.

📝 Enhancement Note: The emphasis on "AI-native & code-fluent" is a significant requirement, indicating a move towards a more integrated design and engineering workflow. Candidates should be prepared to demonstrate experience not just in design tools but also in direct code interaction and AI tool utilization for design processes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase 2-3 comprehensive case studies detailing your involvement in the full product design lifecycle, from problem definition and user research through to solution implementation and measurable impact.

• Conversion & Retention Focus: Highlight projects specifically demonstrating your ability to design for user acquisition (conversion funnels) and customer loyalty (retention, winback funnels). Quantify improvements achieved.

• AI & Code Integration: Include examples or descriptions of how you've leveraged AI tools in your design process or collaborated with engineering on code-level iterations (e.g., Git workflows, direct code contributions).

• Design System Contribution: Present examples of your work on design systems, including components, guidelines, and how they've ensured consistency and efficiency.

• Data-Driven Validation: Demonstrate how you've used data (analytics, A/B tests, user feedback) to validate design decisions and measure success.

Process Documentation:

• Discovery & Validation Frameworks: Clearly articulate your systematic approach to problem discovery, hypothesis formulation, and user validation.

• AI-Assisted Design Workflows: Describe how you integrate AI tools into your design process for research synthesis, ideation, and testing.

• Design-Engineering Collaboration Models: Detail your experience working with engineering teams, specifically mentioning your understanding and use of Git-based workflows for design implementation.

📝 Enhancement Note: The portfolio requirements are highly specific, emphasizing the candidate's ability to demonstrate tangible results through data, their proficiency with modern design-to-code workflows, and their adoption of AI technologies. This is crucial for showcasing readiness for Rabot Energy's unique operational approach.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product Designers in Hamburg, Germany, with 5-10 years of experience, the estimated annual salary range is €70,000 - €90,000. This estimate considers the company's focus on high-impact roles, the advanced technical requirements (AI, code fluency), and the cost of living in Hamburg.

Benefits:

• Employee discount for the RABOT Energy electricity tariff.

• Partnership with Urban Sports Club, offering access to a wide range of sports facilities.

• Deutschlandticket, providing unlimited travel on public transport throughout Germany.

• Opportunity to shape core growth levers of a rapidly scaling company.

• Direct impact on customer acquisition and retention strategies.

• Collaborative and transparent team culture with a focus on learning from mistakes.

Working Hours: Standard full-time working hours are expected, approximately 40 hours per week, with flexibility often associated with senior roles in tech companies.

📝 Enhancement Note: Salary is an estimation based on role seniority, location (Hamburg, Germany), and the advanced skill set required. The provided range is a benchmark and may vary based on the candidate's specific qualifications and the company's compensation structure. The benefits are tailored to the explicit mentions in the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Energy Technology / SaaS. Rabot Energy operates within the rapidly evolving energy market, focusing on intelligent energy management solutions. This dynamic sector requires innovative approaches to customer engagement and product development, directly impacting the B2C strategy.

Company Size: While not explicitly stated, the description of "three-digit growth" and the search for "architects of our growth" suggests a scaling startup or scale-up phase, likely ranging from 50-250 employees. This implies a fast-paced, agile environment where individual contributions have significant visibility and impact.

Founded: The company's focus on managing "intelligent energy" and its rapid growth indicate a relatively modern founding, likely within the last 5-10 years, positioning it as a player in the digital transformation of the energy sector.

Team Structure:

• The Senior Product Designer will work within a product team that includes two Product Managers, dedicated Engineering resources, and collaborates closely with Growth, Marketing, and Operations.

• The team structure is likely agile and cross-functional, emphasizing direct collaboration and shared ownership rather than rigid hierarchies.

• The "design and engineering boundaries blur" philosophy suggests a highly integrated team where designers are expected to contribute at a code level. Methodology:

• AI-First Design Process: Central to the company's methodology, leveraging AI for faster testing, better synthesis, and data-driven decisions.

• Outcome-Oriented Development: Focus on measurable results (conversion, retention, winback rates) rather than just task completion.

• Agile Development & Iteration: Continuous testing, learning, and iteration are core to the product development cycle, with Git for managing code changes.

• Cross-Functional Collaboration: Emphasis on seamless interaction between Design, Product, Engineering, Marketing, and Operations.

Company Website: https://rabot.energy/

📝 Enhancement Note: The company culture is characterized by rapid growth, a focus on innovation (AI-first, intelligent energy), and a highly integrated, results-driven approach to product development. The emphasis on blurring design and engineering lines is a critical cultural aspect for potential candidates to understand.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Senior Product Designer level. It signifies a high degree of autonomy, responsibility, and impact. The individual is expected to lead design initiatives independently, mentor others implicitly through their work and collaboration style, and significantly influence product direction for key growth funnels. The "end-to-end owner" and "architects of our growth" phrasing underscores the senior nature and strategic importance of this position.

Reporting Structure: While not explicitly detailed, the Senior Product Designer will likely report to a Head of Product, Design Lead, or a Senior Product Manager. They will work closely with two Product Managers and a dedicated engineering team. The collaborative nature suggests a flat hierarchy within the immediate product development unit.

Operations Impact: The Senior Product Designer's impact is directly tied to the company's core growth objectives. By optimizing the conversion and winback funnels, the role directly influences:

• Customer Acquisition: Increasing the volume and efficiency of new customer onboarding.

• Customer Retention & Lifetime Value: Reducing churn and encouraging continued engagement with Rabot Energy's services.

• Revenue Growth: Directly contributing to top-line revenue through increased customer base and sustained relationships.

• Product Strategy: Providing data-backed design insights that inform future product development and market positioning.

Growth Opportunities:

• Leadership in AI-First Design: Opportunity to become a subject matter expert and leader in implementing and evolving AI-driven design processes within the company and potentially the industry.

• Deepening Codebase Integration: Further develop skills in collaborating directly with code, potentially leading to hybrid design-engineering roles or a unique specialization.

• Strategic Impact on Growth: Influence the strategic direction of two critical B2C growth funnels, providing a clear path to demonstrating significant business impact.

• Mentorship & Team Development: As a senior member, opportunities to implicitly or explicitly mentor junior designers or contribute to building out the design function as the company scales.

• Career Progression: Potential to move into Lead Product Designer roles, Head of Design, or Product Management positions based on performance and interest.

📝 Enhancement Note: This role offers substantial growth potential beyond traditional design progression. The emphasis on AI and code fluency opens doors to specialized roles and leadership positions in a rapidly evolving tech landscape.

🌐 Work Environment

Office Type: The job explicitly states "On-site" for Hamburg, Germany, indicating a physical office environment. This suggests a collaborative workspace designed for in-person team interaction, brainstorming, and direct engagement with engineering and product teams.

Office Location(s): Hamburg, Germany. As a major German city, Hamburg offers excellent infrastructure, connectivity, and a vibrant urban environment. Specific details about office amenities or accessibility would typically be provided during the interview process.

Workspace Context:

• Collaborative Environment: The "design and engineering boundaries blur" philosophy and the need for close collaboration with Product Managers and other teams point to an open, communicative workspace conducive to rapid iteration and problem-solving.

• Tools & Technology: Expect access to standard design tools (Figma, Miro, Notion, Dovetail), development tools (Git, IDEs for code iteration), and AI platforms. The company actively promotes the use of AI and direct code interaction, suggesting a modern tech stack.

• Team Interaction: Frequent opportunities for face-to-face interaction with Product Managers, Engineers, and other cross-functional stakeholders, fostering strong working relationships and shared understanding.

Work Schedule: The role is full-time, with an estimated 40 hours per week. While on-site, there's an implicit expectation of flexibility often found in high-growth tech companies, allowing for focused work sessions and project-driven timelines.

📝 Enhancement Note: The "On-site" requirement for Hamburg emphasizes the company's preference for in-person collaboration, especially given the role's emphasis on blurring design and engineering lines. Candidates should be prepared for an office-centric work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Culture & Fit): A review of your application and portfolio to assess alignment with the company's AI-first, code-fluent, and growth-oriented culture. Expect questions about your approach to problem-solving and collaboration.

• Portfolio Presentation & Deep Dive: You will be asked to present 1-2 key case studies from your portfolio. Be prepared to walk through your design process, explain your rationale, and detail the measurable outcomes. Focus on your contributions to conversion/retention and any experience with AI or code integration.

• Technical/Design Challenge: A practical exercise, potentially involving a design problem related to conversion or winback funnels, or a task that assesses your ability to integrate AI tools or work with code snippets. This might be a take-home assignment or a live session.

• Cross-Functional Interviews: Meetings with Product Managers, Engineering leads, and potentially Marketing/Growth stakeholders to evaluate your collaboration skills, communication style, and understanding of business objectives.

• Final Interview: Likely with a senior leader (e.g., Head of Product or CEO) to confirm overall fit, strategic thinking, and long-term potential.

Portfolio Review Tips:

• Quantify Everything: For each case study, clearly state the problem, your solution, and the measurable impact (e.g., X% increase in conversion rate, Y% reduction in churn).

• Show, Don't Just Tell: Use visuals (wireframes, mockups, prototypes, user flows) to illustrate your design process and final solutions.

• Highlight AI & Code Experience: Explicitly call out any instances where you used AI tools in design or collaborated directly with engineers on code. If you don't have direct coding experience, emphasize your understanding of the development process and how you facilitate it.

• Structure Your Narrative: For each case study, follow a clear story arc: Problem -> Your Process -> Solution -> Results -> Learnings.

• Tailor to Rabot Energy: Emphasize how your skills and experience align with Rabot Energy's specific needs: B2C funnels, AI-first approach, and code fluency.

Challenge Preparation:

• Understand the Funnels: Research best practices for B2C conversion and winback funnels. Think about common user pain points and opportunities for improvement.

• AI Tool Exploration: Familiarize yourself with current AI tools for design, research, and prototyping. Be ready to discuss how you might use them.

• Git Fundamentals: Refresh your understanding of Git basics (branches, commits, pull requests, merges). Even if you won't be writing production code, demonstrating familiarity is key.

• Data Interpretation: Be prepared to discuss how you would measure the success of your design solutions and interpret A/B test results.

📝 Enhancement Note: The interview process is rigorous and heavily focused on practical application, data-driven results, and the unique AI/code integration requirements. Candidates must prepare a portfolio that explicitly addresses these aspects and be ready to demonstrate their skills in practical scenarios.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI/UX design, prototyping, and collaboration. Proficiency is essential.

• Miro: For collaborative whiteboarding, brainstorming, user journey mapping, and workshop facilitation.

• Notion: Likely used for documentation, project management, and knowledge sharing across teams.

• Dovetail: A tool for synthesizing user research findings and managing qualitative data.

• AI Tools (e.g., Claude Code): Integrated into the design workflow for faster testing, data synthesis, and direct code iteration. Candidates should be comfortable exploring and adopting new AI tools.

Analytics & Reporting:

• A/B Testing Platforms: Tools to design, run, and analyze experiments (e.g., Optimizely, VWO, or in-house solutions).

• Web Analytics: Platforms like Google Analytics or similar for tracking user behavior and funnel performance.

• Data Visualization Tools: Potentially Tableau, Power BI, or custom dashboards for presenting insights.

CRM & Automation:

• CRM System: While not explicitly mentioned, a CRM is implied for managing customer data and interactions, especially for winback funnels.

• Marketing Automation Tools: May be used in conjunction with Marketing and Growth teams for customer engagement campaigns.

• Git: Essential for version control and collaboration with the engineering team on codebase integration.

📝 Enhancement Note: The technology stack reflects a modern, AI-augmented, and development-integrated design practice. Candidates must demonstrate proficiency with leading design tools and a strong willingness to adopt and leverage AI and development-centric tools.

👥 Team Culture & Values

Operations Values:

• Growth Mindset: A relentless focus on driving business growth through strategic product design and continuous improvement of key funnels.

• Data-Driven Decision Making: All design choices and product iterations are informed by data, user research, and measurable outcomes.

• AI-First Innovation: Embracing cutting-edge AI technologies to accelerate design, enhance user understanding, and improve product development efficiency.

• Ownership & Accountability: Taking full responsibility for design outcomes, from concept to production, and actively contributing to the company's success.

• Collaboration & Transparency: Open communication, knowledge sharing, and a willingness to work closely with cross-functional teams, with a belief that strong collaboration leads to better products.

• Learning from Failure: Creating an environment where experimentation is encouraged, and failures are viewed as valuable learning opportunities that contribute to overall progress.

Collaboration Style:

• Integrated Design & Engineering: A core principle where design and engineering work hand-in-hand, with designers actively participating in the code integration process (Git, PRs).

• Cross-Functional Partnership: Regular and proactive collaboration with Product Management, Growth, Marketing, and Operations to ensure alignment and a holistic approach to the customer journey.

• Feedback-Rich Environment: Encouraging constructive feedback through design reviews, pair design sessions, and open discussions to refine solutions and improve processes.

• Agile Iteration: A dynamic workflow characterized by rapid prototyping, testing, and iterative improvements based on data and user insights.

📝 Enhancement Note: The company culture strongly emphasizes innovation (AI), results (growth), and a highly integrated, collaborative approach between design and engineering. Candidates should align with these values to thrive in this environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing AI and Human Craft: Effectively integrating AI tools while maintaining the essential human touch, creativity, and strategic thinking in design.

• Accelerated Development Cycles: Adapting to and thriving within a fast-paced environment that demands rapid iteration and deployment, especially with direct code interaction.

• Defining & Measuring Success: Continuously refining metrics and methodologies to accurately attribute design impact on conversion, retention, and winback rates.

• Navigating Growth Pains: Contributing to process improvements and design system scaling as the company continues its rapid growth trajectory.

• Cross-Functional Alignment: Ensuring consistent understanding and execution of design principles across diverse teams with varied priorities.

Learning & Development Opportunities:

• Mastering AI-Augmented Design: Becoming a leader in applying AI tools to product design, research synthesis, and rapid prototyping.

• Deepening Technical Skills: Gaining practical experience in code-based design workflows, Git, and direct collaboration with engineering on production code.

• Strategic Impact: Driving significant improvements in core business metrics (customer acquisition, retention), offering a unique opportunity to influence business strategy.

• Product Strategy Influence: Contributing high-impact design insights that shape the future roadmap and product direction for Rabot Energy's B2C offerings.

• Evolving Design Systems: Playing a key role in scaling and refining the design system to support a rapidly growing product suite.

📝 Enhancement Note: The challenges are directly tied to the company's innovative approach (AI, code fluency) and its growth phase. The learning opportunities are substantial, offering a chance to develop highly sought-after skills in a cutting-edge environment.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the end-to-end design of a B2C conversion funnel. What were your key hypotheses, how did you validate them, and what were the measurable results?" (Focus on your process, data, and outcomes).

• "How would you approach designing a winback funnel for customers who are considering leaving Rabot Energy? What data would you look for, and what AI tools could assist your discovery process?" (Demonstrate strategic thinking and AI integration).

• "Explain your experience working with Git and engineers on code integration. How do you ensure design consistency when iterating directly in the codebase?" (Highlight your code fluency and collaboration skills). Company & Culture Questions:

• "What interests you most about Rabot Energy's mission and our position in the energy market?" (Show research and alignment with the company's vision).

• "How do you see AI transforming the role of a Product Designer, and how have you incorporated AI into your workflow?" (Assess your understanding and adoption of AI-first principles).

• "Describe a situation where you had to collaborate closely with engineering or other departments. How did you ensure alignment and a shared understanding of goals?" (Evaluate your cross-functional collaboration style). Portfolio Presentation Strategy:

• Prioritize Impact: Select case studies that clearly demonstrate quantitative improvements in conversion, retention, or winback rates.

• Narrate the "Why": For each design decision, explain the user problem or business objective it addressed.

• Detail Your Process: Walk through your research, ideation, prototyping, and validation stages.

• Showcase AI/Code Integration: Explicitly mention any use of AI tools or collaboration with engineering on code. If you have direct code contributions, highlight them.

• Be Ready for Deep Dives: Anticipate questions on specific design choices, technical constraints, and alternative solutions you considered.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating practical application of design skills, a data-driven mindset, and a clear understanding of Rabot Energy's unique AI-first and code-fluent approach.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Rabot Energy's careers portal.

• Tailor Your Resume & Cover Letter: Highlight experience in B2C conversion/winback funnels, AI-driven design, and collaboration with engineering teams (Git, PRs). Quantify achievements prominently.

• Curate Your Portfolio: Ensure your portfolio showcases end-to-end case studies with clear metrics, focusing on conversion and retention. Include specific examples or descriptions of your AI tool usage and code integration experience.

• Prepare Your Presentation: Practice presenting 1-2 key portfolio case studies, focusing on your process, impact, and alignment with Rabot Energy's values. Be ready to discuss your approach to AI and code collaboration.

• Research Rabot Energy: Understand their mission, market position, and recent achievements. Formulate thoughtful questions about their AI strategy, design process, and growth trajectory.

⚠️ 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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