Product Designer
š Job Overview
Job Title: Product Designer
Company: DeepIP
Location: Paris, Ile-de-France, France
Job Type: Full-time
Category: Product Design / UX/UI Design
Date Posted: April 28, 2026
Experience Level: Mid-Senior (3-5 years)
Remote Status: Hybrid
š Role Summary
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Design and deliver user-centric experiences for complex patent workflows, focusing on Office Action and Search modules.
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Enhance the quality and coherence of UX/UI across multiple platforms, including web, desktop, and MS Word integrations.
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Contribute to the development and evolution of DeepIP's design system, fostering a strong design culture.
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Own the complete product design lifecycle, from initial discovery and ideation through to prototyping, validation, and final delivery.
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Operate autonomously within a product squad, making independent decisions to drive fast-paced development cycles.
š Enhancement Note: This role is specifically for a Product Designer within a B2B SaaS company specializing in AI-powered patent drafting tools. The emphasis on "Office Action and Search" modules, "MS Word integration," and the "patent agents and attorneys" target audience indicates a specialized domain requiring an understanding of legal tech or intellectual property workflows. The "collaborative hustlers, ambitious learners, and ownership champions" descriptor suggests a startup/scale-up environment where proactive contribution and end-to-end ownership are highly valued.
š Primary Responsibilities
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Conceptualize and design intuitive user interfaces and workflows that simplify intricate patent drafting processes for legal professionals.
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Conduct user research, gather feedback, and perform usability testing to validate design decisions and ensure product-market fit.
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Develop high-fidelity prototypes and interactive mockups to effectively communicate design concepts to product managers and engineering teams.
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Collaborate closely with product managers to translate business requirements and user needs into actionable design specifications.
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Partner with engineers to ensure seamless implementation of designs, providing clear design handoffs and ongoing support.
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Contribute to the strategic direction of the product by identifying opportunities for UX improvements and feature enhancements.
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Maintain and expand the company's design system, ensuring consistency and scalability across all product touchpoints.
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Proactively identify and champion design best practices, contributing to the overall design maturity of the organization.
š Enhancement Note: The responsibility of "elevating the quality and coherence of our UX/UI across platforms (web, desktop, MS Word integration)" implies a need for a designer who can manage multi-platform consistency and potentially design for specific application integrations, which is a nuanced requirement beyond standard web design. Owning the "full design process from discovery and ideation to prototyping, validation, and delivery" underscores the expectation of end-to-end responsibility and autonomy.
š Skills & Qualifications
Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often preferred for Product Design roles. A strong portfolio demonstrating equivalent practical experience will be highly valued.
Experience: 3ā5 years of dedicated experience as a Product Designer, with a proven track record in B2B SaaS or enterprise software environments. Direct experience within a startup or scale-up environment is essential, showcasing an understanding of rapid iteration and ownership.
Required Skills:
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Product Design: End-to-end product design expertise, from problem definition to final handoff.
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UX/UI Design: Proficient in creating intuitive, user-friendly interfaces and seamless user experiences.
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B2B SaaS/Enterprise: Experience designing for complex business workflows and enterprise-level applications.
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Prototyping & Wireframing: Skilled in using tools like Figma, Sketch, Adobe XD, or similar for creating interactive prototypes and wireframes.
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User Research & Validation: Ability to conduct user interviews, surveys, and usability testing to inform design decisions.
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Design Systems: Experience in contributing to or maintaining design systems for consistency and scalability.
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AI Tools Proficiency: Actively integrate and leverage AI tools within the design workflow as a core competency.
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Cross-functional Collaboration: Strong ability to partner effectively with Product Managers and Engineers.
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Communication: Excellent verbal and written communication skills.
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Language Proficiency: Fluent in both French and English.
Preferred Skills:
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Experience with AI/ML product design or in the legal tech/intellectual property domain.
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Familiarity with MS Word integration design challenges.
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Experience working on web, desktop, and integrated application interfaces.
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Visual design expertise and a strong portfolio showcasing aesthetic sensibility.
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Understanding of agile development methodologies.
š Enhancement Note: The explicit requirement for "actively use AI tools in your design workflow, not as a bonus, but as a core part of how you work" is a critical differentiator. This suggests DeepIP is at the forefront of integrating AI into its design process and expects candidates to be equally forward-thinking. The "startup or scale-up" experience requirement is crucial for assessing a candidate's ability to adapt to a fast-paced, high-ownership environment.
š Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase 3-5 end-to-end product design projects, with a strong emphasis on B2B SaaS or enterprise solutions.
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Clearly articulate your role and contributions within each project, highlighting ownership and autonomy.
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Detail the problem statement, your design process, user research insights, and the final solution.
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Demonstrate your proficiency in using AI tools within your design workflow, providing specific examples of how they were leveraged for efficiency or innovation.
Process Documentation:
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For each project, outline the discovery phase, including user research methodologies and identified pain points.
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Detail your ideation process, wireframing, and prototyping stages, showcasing iterative design thinking.
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Present validation methods used (e.g., usability testing, A/B testing) and how feedback influenced design iterations.
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Clearly document the final design handoff to engineering, including specifications and any design system components utilized or created.
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Provide examples of how you contributed to or evolved a design system.
š Enhancement Note: Given the role's emphasis on end-to-end ownership and AI tool integration, portfolios should specifically highlight projects where the candidate drove significant portions of the design process independently and demonstrate concrete examples of AI tool application in their workflow. Case studies should focus on the business impact and efficiency gains achieved through their design solutions, particularly within a B2B context.
šµ Compensation & Benefits
Salary Range: For a Product Designer with 3-5 years of experience in Paris, France, the estimated annual salary range is ā¬55,000 to ā¬75,000. This range accounts for the experience level, the specialized B2B SaaS/AI focus, and the cost of living in Paris.
Benefits:
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Competitive salary and potential for stock options/equity in a high-growth startup.
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Comprehensive health insurance coverage (Mutuelle) and other statutory benefits.
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Generous paid time off (Vacances) and public holidays.
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Opportunities for professional development, including conferences, training, and access to learning resources.
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Reimbursement for public transportation or a mobility package.
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Regular team events and social gatherings to foster a strong company culture.
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Potential for flexible working arrangements within the hybrid model.
Working Hours: The standard working hours are 40 per week, typical for a full-time position in France. While a hybrid model is in place, DeepIP emphasizes autonomy, suggesting flexibility in daily schedules as long as responsibilities are met and collaboration is maintained.
š Enhancement Note: Salary estimation is based on industry benchmarks for Product Designers in Paris, France, adjusted for the specific requirements of a B2B SaaS company with an AI focus. Benefits are typical for French tech companies and startups, with an emphasis on growth opportunities relevant to a mid-senior role. The "collaborative hustlers, ambitious learners, and ownership champions" culture suggests benefits might also include opportunities for rapid learning and increased responsibility.
šÆ Team & Company Context
š¢ Company Culture
Industry: DeepIP operates within the Legal Tech and Artificial Intelligence sectors, specifically focusing on intellectual property (IP) and patent law. The company is leveraging cutting-edge AI, including foundation models, to disrupt traditional patent drafting processes. This industry context implies a need for designers who can understand complex, regulated workflows and translate them into user-friendly interfaces.
Company Size: DeepIP is described as experiencing "tremendous growth" in 2024 and is looking for individuals to help them "reach new heights." This suggests they are likely in the scale-up phase ā past the early startup stage but still agile and rapidly expanding, likely employing between 50-200 individuals. This size offers the dynamism of a startup with increasing structure and resources.
Founded: The company was founded to address inefficiencies in patent drafting using AI. While the exact founding date isn't provided, the emphasis on recent growth indicates a relatively young company that has found product-market fit and is now scaling operations.
Team Structure:
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The Product Design role is embedded within a "product squad," a common agile structure comprising Product Managers, Engineers, and Designers.
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Designers are expected to "work autonomously within your squad, taking decisions and moving fast without needing daily oversight," indicating a flat hierarchy within the squad and a high degree of trust.
Methodology:
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Data-Driven Design: The use of "latest advances in AI" and a focus on "validation" implies a strong reliance on data and user feedback to inform design decisions.
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Agile Development: The "product squad" model and emphasis on "moving fast" are hallmarks of agile methodologies, requiring designers to be adaptable and iterative.
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User-Centricity: The core mission of "transforming complex patent workflows into elegant, user-centric experiences" highlights a deep commitment to understanding and serving user needs.
Company Website: https://careers.deepip.ai
š Enhancement Note: The culture description points towards a dynamic, fast-paced environment common in successful scale-ups. The "hustler" and "ownership" aspects suggest a demanding but rewarding environment where individuals can make a significant impact. The "ambitious learners" aspect is critical for candidates looking to grow within a rapidly evolving AI and Legal Tech space.
š Career & Growth Analysis
Operations Career Level: This role is positioned as a mid-to-senior level Product Designer. The expectation of "3-5 years of experience," "owning the full design process," and working "autonomously" indicates a designer capable of taking significant responsibility and contributing strategically without constant supervision. This is beyond an entry-level or junior role, requiring a solid foundation and the ability to lead design efforts within their domain.
Reporting Structure: The designer will be "embedded in a product squad, working closely with engineers and product managers." They will report to a Product Manager (Damien is mentioned) for day-to-day work and squad alignment. There may also be a lead designer or head of product/design to whom the PM or designer manager reports, influencing the broader design strategy.
Operations Impact: As a Product Designer at DeepIP, your impact will be directly tied to improving the efficiency and effectiveness of patent agents and attorneys. By creating elegant, user-centric experiences for core modules like Office Action and Search, you will directly accelerate their workflow, reduce errors, and contribute to the company's core value proposition of streamlining patent application drafting. Your work will directly influence user adoption, satisfaction, and the overall success of DeepIP's AI-powered product.
Growth Opportunities:
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Design Leadership: As DeepIP scales, there will be opportunities to take on more leadership responsibilities, potentially leading design for new features or modules, or even mentoring junior designers.
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Specialization: Deepen expertise in AI-driven product design and the specific nuances of legal tech, becoming a go-to expert in this niche field.
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Strategic Input: Contribute more significantly to product strategy and roadmap planning as you gain deeper insights into user needs and market opportunities.
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Cross-functional Skill Development: Enhance collaboration and communication skills by working closely with AI engineers and product managers, gaining a broader understanding of the product development lifecycle.
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Design System Evolution: Play a key role in scaling and refining the design system to support future product growth.
š Enhancement Note: The emphasis on autonomy and end-to-end ownership suggests that candidates looking for a fast-track career with significant responsibility will thrive here. Growth will likely be tied to the company's scaling trajectory and the individual's ability to demonstrate impact and leadership potential within their product squad and the broader design function.
š Work Environment
Office Type: DeepIP operates a hybrid work environment, indicating a mix of in-office and remote work. The office is located at 34 Rue du Faubourg Saint-Antoine in Paris. This setup aims to balance the benefits of in-person collaboration and team cohesion with the flexibility of remote work.
Office Location(s): The primary office is in Paris, France (75012). This location offers access to a vibrant tech ecosystem and a central European base. The specific address is 34 Rue du Faubourg Saint-Antoine, 75012 Paris.
Workspace Context:
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Collaborative Spaces: The office likely includes meeting rooms, breakout areas, and open-plan workspaces designed to facilitate teamwork and spontaneous interactions between designers, engineers, and product managers.
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Tools & Technology: Designers will have access to modern design software (e.g., Figma), collaboration tools (e.g., Slack, Jira), and potentially AI-powered design assistance tools integrated into their workflow.
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Team Interaction: The hybrid model means designers will have opportunities for regular face-to-face interaction with their product squad and other team members, fostering a strong sense of community and shared purpose.
Work Schedule: The standard work schedule is 40 hours per week. The hybrid nature allows for flexibility in managing workdays, balancing in-office collaboration days with remote work days. This flexibility is crucial for deep work and focused design tasks, while in-office days are likely optimized for brainstorming, team syncs, and design reviews.
š Enhancement Note: The hybrid model in Paris suggests the company values in-person collaboration for key activities like brainstorming and team building, while acknowledging the need for focus time that remote work can provide. The address in the 12th arrondissement places the office in a well-connected part of Paris.
š Application & Portfolio Review Process
Interview Process:
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Intro Call (30 mins): Initial screening to gauge candidate interest, motivation, and basic fit. Prepare to articulate why DeepIP and this specific role appeal to you, and what your career aspirations are.
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Culture & Technical Fit (with Damien, PM): A deeper dive into your experience, problem-solving approach, and how you collaborate with product and engineering. Be ready to discuss specific B2B SaaS projects and your experience with AI tools.
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Design Test: An assessment of your practical design skills. This will likely involve a problem-solving exercise related to patent workflows or a similar complex domain, evaluating your UX thinking, visual execution, and ability to work within constraints.
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Co-founder Interview: Final conversation to assess alignment with the company's vision, values, and long-term goals. This is an opportunity to ask strategic questions about the company's future and your potential role in it.
Portfolio Review Tips:
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Focus on Impact: Showcase how your design solutions solved specific user problems and delivered business value, especially in a B2B context. Quantify results where possible (e.g., improved efficiency, reduced error rates).
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Highlight AI Integration: Clearly present projects where you utilized AI tools in your design process. Explain how you used them (e.g., for ideation, content generation, prototyping assistance) and the benefits achieved.
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End-to-End Ownership: Structure your case studies to demonstrate your full design process from discovery through to delivery. Emphasize your autonomy and decision-making capabilities.
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B2B SaaS Relevance: Prioritize projects that reflect experience with complex workflows, enterprise users, or SaaS platforms. If you have legal tech experience, highlight it.
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Clarity and Conciseness: Ensure your portfolio is well-organized, easy to navigate, and clearly articulates your contributions and thought process.
Challenge Preparation:
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Understand the Domain: Research patent drafting, Office Actions, and the role of AI in legal tech. Familiarize yourself with common challenges faced by patent agents/attorneys.
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Practice Problem Solving: Be prepared to tackle design challenges that require analytical thinking, user empathy, and creative solutions within technical constraints.
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Articulate Your Process: Practice explaining your design decisions, trade-offs, and rationale clearly and concisely, as you would in the Co-founder or PM interviews.
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Demonstrate AI Tool Usage: Think about how you would incorporate AI tools into solving the design challenge presented.
š Enhancement Note: The interview process is structured to assess not just design skills but also cultural fit, autonomy, and specific experience with AI tools and B2B SaaS. The design test is a critical gate, and candidates should prepare a portfolio that directly addresses the requirements mentioned in the job description.
š Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (highly probable, given industry trends and collaborative focus), Sketch, Adobe XD.
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Collaboration & Project Management: Jira, Asana, Trello for task tracking and workflow management.
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Communication: Slack for real-time team communication.
Analytics & Reporting:
- Tools for user analytics (e.g., Amplitude, Mixpanel) to understand user behavior and inform design decisions.
CRM & Automation:
AI Tools:
- Expect to use AI tools for various aspects of the design process, such as:
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Content generation (e.g., AI writing assistants for UI copy).
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Ideation and concept generation.
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Prototyping assistance.
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Research summarization.
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Image generation or enhancement.
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š Enhancement Note: The emphasis on AI tools in the job description means candidates should be prepared to discuss their experience with a wide range of AI applications within design, not just specific software. Proficiency in Figma is almost a given for modern product design roles, so highlighting it is key.
š„ Team Culture & Values
Operations Values:
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Ownership: Taking full responsibility for design outcomes and driving projects to completion with minimal oversight.
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Collaboration: Working seamlessly with product managers and engineers, fostering open communication and shared problem-solving.
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Ambition & Learning: Continuously seeking to improve skills, learn new technologies (especially AI), and contribute to the company's growth.
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User-Centricity: A deep commitment to understanding and advocating for user needs to create effective and elegant solutions.
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Efficiency: Streamlining workflows and leveraging technology, including AI, to deliver high-quality work at speed.
Collaboration Style:
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Squad-Based: Close integration within cross-functional product squads, with daily interaction and shared goals.
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Proactive Communication: Encouraging open dialogue, frequent feedback loops, and transparent updates on design progress and challenges.
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Iterative Design: A culture that embraces iteration based on user feedback and data, with a willingness to experiment and adapt.
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Knowledge Sharing: A supportive environment where team members share insights, best practices, and learnings, particularly around AI and design methodologies.
š Enhancement Note: The values of "ownership," "ambition," and "collaboration" are central to DeepIP's identity as a growing tech company. Candidates should align with these values and be prepared to demonstrate how they embody them in their work.
ā” Challenges & Growth Opportunities
Challenges:
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Domain Complexity: Designing for a highly specialized field like patent law requires a steep learning curve to understand user needs and workflows accurately.
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AI Integration Nuances: Effectively integrating AI tools into the design process while maintaining user control and ethical considerations.
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Pace of Innovation: Keeping up with rapid advancements in AI and their application to product design within a fast-growing startup.
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Cross-Platform Consistency: Ensuring a cohesive user experience across web, desktop, and potentially integrated applications like MS Word.
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Balancing Autonomy and Collaboration: Thriving in an environment that demands independent work while also requiring strong collaborative partnerships.
Learning & Development Opportunities:
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AI in Design Specialization: Become an expert in applying AI to product design challenges, particularly within the legal tech domain.
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Product Strategy Contribution: Grow from a design executor to a strategic partner in product roadmap development.
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Leadership Development: Opportunities to lead design initiatives, mentor junior team members, and potentially build out a design function as the company scales.
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Industry Exposure: Engage with cutting-edge AI technologies and the evolving legal tech landscape.
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Cross-functional Expertise: Gain deeper insights into engineering and product management, enhancing overall product development acumen.
š Enhancement Note: The challenges presented are inherent to working in a fast-paced, innovative environment within a niche industry. DeepIP likely supports employees in overcoming these challenges through mentorship, training, and by fostering a culture of continuous learning.
š” Interview Preparation
Strategy Questions:
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"Describe a time you had to design for a highly technical or specialized user group. How did you approach understanding their needs and workflows?" (Focus on your research and empathy skills, and how you translated complex requirements into simple designs.)
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"How do you integrate AI tools into your design process to improve efficiency or outcomes? Can you provide a specific example?" (Prepare to detail your experience with AI tools, not just list them.)
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"Walk us through your process for taking a feature from initial concept to final delivery in a fast-paced environment." (Highlight your end-to-end ownership, autonomy, and collaboration with PMs/engineers.)
Company & Culture Questions:
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"What excites you about DeepIP's mission and the legal tech industry?" (Research DeepIP's product and the patent drafting process.)
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"How do you embody the values of 'ownership,' 'ambition,' and 'collaboration' in your work?" (Provide specific anecdotes from your experience.)
Portfolio Presentation Strategy:
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Structure: Organize your presentation around 1-2 key projects that best showcase your end-to-end process, AI tool usage, and B2B SaaS experience.
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Narrative: Tell a compelling story for each project, focusing on the problem, your unique contribution, the design process, and the impact of your solution.
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AI Demonstration: Clearly articulate how and why you used specific AI tools. Show the results or efficiency gains achieved.
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Metrics: Quantify impact wherever possible (e.g., user satisfaction scores, efficiency improvements, adoption rates).
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Interactive Elements: If possible, use interactive prototypes to demonstrate user flows and key interactions.
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Conciseness: Be mindful of time and focus on the most impactful aspects of your work.
š Enhancement Note: Candidates should prepare concrete examples that directly address the requirements of the role, especially the use of AI tools and experience in B2B SaaS. Practicing the presentation of portfolio case studies is crucial, as it will likely be a significant part of the interview process.
š Application Steps
To apply for this Product Designer position:
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Submit your application through the DeepIP careers portal: https://careers.deepip.ai/jobs/7651541-product-designer
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Portfolio Customization: Ensure your portfolio prominently features projects demonstrating end-to-end product design, B2B SaaS experience, and concrete examples of AI tool integration in your workflow. Prioritize case studies that highlight your autonomy and problem-solving skills.
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Resume Optimization: Tailor your resume to highlight keywords such as "Product Design," "UX/UI," "B2B SaaS," "AI Tools," "Prototyping," "Design Systems," and "French/English Fluency." Quantify achievements and responsibilities where possible.
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Interview Preparation: Practice articulating your design process, your experience with AI tools, and how you embody DeepIP's core values. Prepare specific examples for behavioral and situational questions. Rehearse your portfolio presentation.
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Company Research: Thoroughly research DeepIP's mission, product, and the legal tech industry. Understand the challenges faced by patent agents and attorneys. Prepare thoughtful questions to ask the interviewers about the company vision, team culture, and product roadmap.
ā ļø 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.
Application Requirements
Candidates need 3-5 years of Product Design experience in B2B SaaS or enterprise environments, including startup or scale-up experience. Proficiency in using AI tools within the design workflow and fluency in both French and English are required.