Product Designer, Growth (Senior/Staff-Level)
π Job Overview
Job Title: Product Designer, Growth (Senior/Staff-Level)
Company: Jobgether (on behalf of a partner company)
Location: Spain
Job Type: Full-time
Category: Growth Design / Product Operations
Date Posted: June 05, 2026
Experience Level: Senior/Staff-Level (5-10 years)
Remote Status: Remote OK
π Role Summary
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Focus on designing and optimizing user onboarding, activation, and retention strategies within an AI-powered video creation product.
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Drive critical business metrics through user-centered design principles and rapid experimentation in a product-led growth (PLG) environment.
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Collaborate closely with Product Management and Engineering to translate complex growth challenges into intuitive and scalable user experiences.
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Leverage AI-native product development workflows and data-informed decision-making to influence product strategy and outcomes.
π Enhancement Note: While the role is titled "Product Designer, Growth," the emphasis on optimizing user journeys, activation, and retention, alongside collaboration with product and engineering for metric-driven outcomes, strongly aligns with Growth Operations and Product Operations functions. The need to understand and leverage data for experimentation and decision-making is a core component of these operational disciplines.
π Primary Responsibilities
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Redesign and optimize onboarding experiences, first-time user journeys, and early product interactions to significantly improve user activation and long-term retention rates.
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Translate complex growth challenges and user needs into intuitive user flows, wireframes, interactive prototypes, and scalable product experiences.
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Partner closely with Product Managers and Engineers to identify growth opportunities, validate design solutions through user testing and data analysis, and drive key growth metrics.
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Design and execute experiments (e.g., A/B tests) that accelerate learning, uncover high-impact opportunities for user engagement, and optimize conversion funnels.
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Elevate early-stage concepts, AI-generated prototypes, and exploratory ideas into polished, user-friendly, and scalable product solutions ready for implementation.
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Challenge existing assumptions, workflows, and interaction patterns to identify areas for improvement that enhance user outcomes and overall business performance.
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Contribute actively to design critiques, product discussions, and strategic planning sessions to elevate the overall quality of product thinking and execution.
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Mentor and support other designers within the team, fostering a culture of design excellence and knowledge sharing across the organization.
π Enhancement Note: The responsibilities highlight a blend of strategic thinking and hands-on execution, typical of senior/staff-level roles. The emphasis on experimentation, data-informed decision-making, and cross-functional collaboration points towards a role that is deeply integrated with product strategy and operational efficiency, aiming to directly impact measurable business outcomes like activation and retention.
π Skills & Qualifications
Education: While no specific degree is mentioned, a strong portfolio demonstrating relevant experience and skills is paramount. A background in Design, Human-Computer Interaction (HCI), or a related field is typically beneficial.
Experience: Significant experience as a Product Designer operating at a senior, staff, or equivalent level within high-growth technology environments, ideally with a focus on product-led growth (PLG) or self-serve models.
Required Skills:
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Proven ability to influence product strategy and business outcomes beyond just visual or interaction design execution.
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Strong track record of improving user activation, engagement, retention, or adoption metrics within self-serve or product-led growth businesses.
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Deep understanding of user-centered design principles, experimentation methodologies (e.g., A/B testing), and data-informed decision-making.
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Experience designing complex workflows, onboarding systems, or creation tools with significant user interaction challenges.
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Ability to work effectively in fast-moving environments where rapid experimentation and iteration are essential for success.
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Strong prototyping skills and comfort collaborating in AI-native product development workflows.
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Experience partnering closely with engineering teams, effectively balancing technical constraints with user experience goals.
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Excellent communication and stakeholder management skills, with the ability to influence cross-functional decision-making.
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Ability to synthesize qualitative research, behavioral insights, and quantitative data into actionable design strategies.
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Passion for solving ambiguous, zero-to-one product challenges where the optimal solution is not immediately clear. Preferred Skills:
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Experience with AI-powered product development and understanding of AI capabilities in user interfaces.
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Familiarity with video creation tools or related creative software.
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Experience mentoring junior designers and contributing to design system development.
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Proficiency in advanced analytics and data visualization tools to support experimentation.
π Enhancement Note: The requirements emphasize strategic impact and measurable results, common for senior/staff roles in growth-focused organizations. The need for data synthesis, experimentation, and AI product development experience are key indicators of the operational mindset required.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase case studies demonstrating a clear understanding of growth loops, user funnels, and key metrics (activation, retention, engagement).
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Provide examples of how you've used data and experimentation to inform design decisions and drive measurable improvements in user behavior.
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Include examples of designing complex workflows or onboarding sequences, highlighting the problem, your process, and the quantifiable outcomes.
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Demonstrate experience with prototyping tools and your ability to iterate rapidly based on feedback and data.
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Highlight experience with AI-native product development workflows and how you've integrated AI capabilities into user experiences. Process Documentation:
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Detail your process for hypothesis generation, experiment design, and analysis in previous growth initiatives.
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Illustrate your approach to user research, synthesizing qualitative and quantitative data to identify pain points and opportunities for optimization.
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Showcase your workflow for collaborating with product managers and engineers, from ideation to implementation and iteration.
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Provide examples of how you've documented design decisions and rationale, especially in fast-paced, iterative environments.
π Enhancement Note: For a senior/staff growth design role, a portfolio must go beyond aesthetics. It needs to demonstrate a deep understanding of growth mechanics, data analysis, experimentation, and the ability to drive tangible business results through design. This aligns with the operational focus on process, metrics, and impact.
π΅ Compensation & Benefits
Salary Range: Given the Senior/Staff level, location in Spain, and the nature of a high-growth tech company, a competitive salary range is expected. Based on industry benchmarks for senior/staff product designers in Europe, this could range from β¬70,000 to β¬100,000+ annually, potentially with equity.
Benefits:
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Competitive compensation package including salary and equity.
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Fully remote-friendly role available across the United Kingdom and Europe, with specific mention of Spain.
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25 days of annual leave plus local public holidays.
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Work-from-home budget to support a productive remote setup.
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Work-from-anywhere flexibility for up to 60 days per year.
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Regular team offsites and in-person collaboration opportunities to foster team cohesion.
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Generous employee referral program with substantial rewards for successful referrals.
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Opportunity to play a defining role in the next phase of growth for a rapidly scaling AI product.
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Collaborative environment with strong autonomy, ownership, and career development opportunities.
Working Hours: The listed hours are 40 hours per week, which is standard. The remote and flexible work arrangements suggest potential for adaptable schedules within this framework.
π Enhancement Note: The salary range is an estimate based on commonly observed compensation for senior/staff product design roles in Western Europe. Actual compensation will depend on the specific partner company, the candidate's experience, and negotiation. The benefits package is comprehensive, reflecting a modern tech company's approach to attracting and retaining talent, with a strong emphasis on flexibility and professional growth.
π― Team & Company Context
π’ Company Culture
Industry: The partner company operates in the rapidly evolving field of AI-powered video creation. This places them at the intersection of artificial intelligence, creative tools, and digital media, a sector characterized by innovation and fast-paced development.
Company Size: As a "rapidly scaling AI product" company, it's likely a Series A, B, or C funded startup, implying a company size that allows for agility and direct impact, but also necessitates robust processes and efficient operations to manage growth. This typically ranges from 50 to 250 employees.
Founded: The founding date isn't provided, but the context of "next phase of growth" suggests a company that has moved beyond the initial startup phase and is now focused on scaling its user base and product capabilities.
Team Structure:
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The Growth function likely comprises individuals focused on user acquisition, activation, retention, and monetization, including Product Managers, Designers, Engineers, and Data Analysts.
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The reporting structure for this role would likely be within the Product or Design team, reporting to a Head of Product, Head of Design, or a Director of Growth.
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Cross-functional collaboration is essential, with daily interaction expected with Product Managers, Engineers, Data Scientists, and potentially Marketing or Sales teams. Methodology:
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Data-driven decision-making and experimentation are central to the growth function's methodology, involving hypothesis testing, A/B testing, and continuous analysis of user behavior data.
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Workflow planning and optimization focus on streamlining user journeys, improving conversion rates, and enhancing overall product adoption.
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Automation is likely used to scale processes, personalize user experiences, and manage growth campaigns efficiently.
Company Website: https://jobgether.com/how-jobgether-works (Note: This is the Jobgether website, not the partner company's, as the partner is not explicitly named.)
π Enhancement Note: The company culture is expected to be dynamic, experimental, and focused on measurable results, typical of growth-stage tech companies. The emphasis on AI and video creation suggests a forward-thinking environment. The operations implication is the need for efficient processes to manage rapid scaling and iterative product development.
π Career & Growth Analysis
Operations Career Level: This role is positioned at the Senior/Staff level, indicating a high degree of autonomy, strategic input, and impact. Senior/Staff designers are expected to lead complex projects, influence product direction, mentor others, and contribute to the overall design strategy and operational effectiveness of growth initiatives. They are often seen as individual contributors who can drive significant outcomes without direct management responsibilities, or as potential leads for specialized areas.
Reporting Structure: The designer will likely report to a Head of Product, Director of Product, or Head of Design, depending on the partner company's organizational structure. They will work closely with Product Managers and Engineering leads on a day-to-day basis, forming a core triad for product development.
Operations Impact: The core function of this role is to directly impact key operational and business metrics related to user growth. This includes improving activation rates (getting users to experience core value), retention (keeping users engaged over time), and product adoption (encouraging deeper usage). The designerβs work is crucial for the company's ability to scale its user base and revenue through product-led strategies.
Growth Opportunities:
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Specialization: Deepen expertise in growth design, AI product development, or specific areas of user lifecycle optimization.
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Leadership: Progress to a Lead Product Designer role, mentoring a team or owning a significant product area.
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Strategic Influence: Contribute to higher-level product strategy, roadmapping, and operational planning for growth initiatives.
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Skill Development: Enhance skills in data analysis, experimentation methodologies, and cross-functional leadership through hands-on experience and potential training opportunities.
π Enhancement Note: The Senior/Staff designation implies a role where the individual is expected to operate with significant independence and contribute strategically. The growth opportunities are geared towards deepening expertise in growth operations and potentially moving into leadership or more strategic product roles.
π Work Environment
Office Type: The role is fully remote-friendly, with flexibility to work from anywhere in the UK and Europe for up to 60 days a year. This suggests a distributed team model where in-person collaboration is intentional and planned through offsites.
Office Location(s): While the role is remote, the mention of "Spain" as the primary location implies that the partner company may have a physical presence or a significant employee base there, or it's a key target market. The remote options extend to the United Kingdom and broader Europe.
Workspace Context:
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The remote nature necessitates a self-managed workspace with a provided work-from-home budget to ensure productivity and comfort.
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Collaboration will primarily occur through digital tools (Slack, Zoom, Figma, etc.), requiring strong asynchronous communication skills.
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Regular team offsites are planned to foster in-person connection, team building, and intensive collaborative sessions, which are crucial for maintaining team cohesion and strategic alignment in a distributed environment.
Work Schedule: While standard 40-hour weeks are implied, the remote and "work-from-anywhere" flexibility suggest that the team likely values output and results over strict adherence to traditional office hours, allowing for personal scheduling within reasonable operational needs.
π Enhancement Note: The distributed and flexible work environment is a key characteristic. Operations professionals in such settings need to be highly self-disciplined, proficient with remote collaboration tools, and adept at asynchronous communication. The emphasis on offsites highlights the company's commitment to building a strong team culture despite geographical dispersion.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: Likely conducted by Jobgether to assess basic qualifications and fit with the role's core requirements, leveraging their AI matching process.
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Hiring Manager Interview: A deep dive into your experience, portfolio, and approach to growth design, user journeys, and experimentation. Focus on your impact metrics and strategic thinking.
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Design Challenge/Case Study: You may be asked to present a portfolio case study or tackle a specific design challenge related to onboarding, activation, or retention for an AI product. This assesses your problem-solving skills, design process, and ability to articulate your rationale.
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Cross-functional Interviews: Discussions with Product Managers and Engineers to assess collaboration style, technical understanding, and ability to integrate design into development workflows.
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Final Interview: Potentially with a senior leader (e.g., Head of Product or CEO) to discuss vision, cultural fit, and strategic alignment.
Portfolio Review Tips:
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Quantify Impact: For each project, clearly state the problem, your role, the actions you took, and the measurable outcomes (e.g., "Increased activation rate by 15%," "Reduced churn by 10%").
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Showcase Process: Detail your end-to-end design process, from research and ideation to prototyping, testing, and iteration. Highlight how you used data and experimentation.
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Focus on Growth: Tailor your presentation to emphasize your experience in growth design, user onboarding, activation, and retention.
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AI Integration: If possible, showcase any experience with AI-native product development or designing with AI capabilities.
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Storytelling: Frame your projects as compelling stories that demonstrate your problem-solving skills and strategic thinking.
Challenge Preparation:
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Understand Growth Mechanics: Brush up on common growth frameworks (e.g., AARRR, HEART) and experimentation best practices.
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AI Product Context: Research current trends in AI-powered products and how design plays a role in their adoption and usability.
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Problem Framing: Practice breaking down ambiguous problems into smaller, manageable parts and formulating hypotheses.
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Presentation Skills: Prepare to articulate your design decisions clearly and concisely, justifying them with data and user insights.
π Enhancement Note: The application process will likely involve a combination of AI-driven screening and human evaluation. A strong portfolio that clearly demonstrates quantifiable impact and a strategic approach to growth design is critical. The emphasis on AI and experimentation suggests specific preparation needs.
π Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (highly probable, industry standard for collaboration), Sketch, Adobe Creative Suite.
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Prototyping: InVision, Principle, ProtoPie, or Figma's native prototyping capabilities.
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Collaboration: Slack, Zoom, Google Workspace/Microsoft 365.
Analytics & Reporting:
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Product Analytics: Mixpanel, Amplitude, Pendo, or similar tools for tracking user behavior, funnel analysis, and feature adoption.
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A/B Testing: Optimizely, VWO, Google Optimize, or in-house experimentation platforms.
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Data Visualization: Tableau, Looker, or internal dashboards for reporting on growth metrics.
CRM & Automation:
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While this role is design-focused, familiarity with CRM (e.g., Salesforce, HubSpot) and marketing automation platforms might be beneficial for understanding the broader customer journey and touchpoints.
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Integration tools (e.g., Zapier) might be relevant if designing workflows that involve connecting different systems.
π Enhancement Note: Proficiency with collaborative design tools like Figma is almost a given. The key is the ability to leverage analytics and experimentation platforms to inform design decisions and measure impact, which is a core aspect of growth operations.
π₯ Team Culture & Values
Operations Values:
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Data-Driven: Decisions are made based on evidence, metrics, and experimentation, not just intuition.
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User-Centric: A deep commitment to understanding and solving user problems, ensuring intuitive and effective experiences.
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Experimental: A willingness to test hypotheses, iterate quickly, and learn from both successes and failures.
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Collaborative: Emphasis on strong cross-functional partnerships, open communication, and shared ownership of outcomes.
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Impact-Oriented: Focus on driving measurable business results and contributing directly to the company's growth trajectory.
Collaboration Style:
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Cross-functional Integration: Designers are embedded within product teams, working hand-in-hand with PMs and Engineers to build and iterate on features.
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Feedback Loops: A culture of regular design critiques and feedback sessions to refine work and ensure alignment.
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Asynchronous Communication: Proficiency in clear, concise written communication for a distributed team, supplemented by synchronous meetings for complex discussions.
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Ownership & Autonomy: Individuals are empowered to take ownership of their projects and drive them forward, with support from their peers and leaders.
π Enhancement Note: The values and collaboration style reflect a typical high-growth tech environment focused on agility, data, and collective achievement. For operations professionals, this means thriving in a fast-paced, iterative environment where collaboration and measurable impact are paramount.
β‘ Challenges & Growth Opportunities
Challenges:
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Ambiguity: Tackling "zero-to-one" product challenges where the path forward is not clearly defined, requiring strong problem-solving and strategic thinking.
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Rapid Iteration: Adapting to a fast-paced environment that demands quick turnarounds, continuous learning, and the ability to pivot based on data.
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Balancing AI Capabilities with User Needs: Designing intuitive interfaces for emerging AI functionalities that users may not fully understand or trust yet.
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Scaling User Growth: Finding innovative ways to attract, activate, and retain users in a competitive market, especially within a product-led growth model.
Learning & Development Opportunities:
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Deep Dive into Growth: Gain extensive experience in growth hacking, experimentation, and optimizing the entire user lifecycle.
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AI Product Expertise: Become an expert in designing for AI-driven products, a rapidly growing field.
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Strategic Impact: Contribute directly to business outcomes and influence product strategy at a senior level.
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Mentorship: Opportunity to mentor junior designers and develop leadership skills.
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Industry Exposure: Work on cutting-edge technology in a fast-scaling environment, potentially attending industry conferences or workshops.
π Enhancement Note: The challenges are inherent to a growth-stage startup in a cutting-edge field. The opportunities for learning and development are significant, particularly for those looking to specialize in growth operations and AI product design.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you significantly improved a key growth metric (e.g., activation, retention) through design. What was your process, and what were the results?" (Focus on quantifying impact and detailing your methodology.)
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"How would you approach designing the onboarding flow for a new AI video creation tool? What are the key considerations, and how would you test your hypotheses?" (Demonstrate understanding of user onboarding, AI product challenges, and experimentation.)
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"Imagine we're seeing a drop in user engagement after the first week. How would you diagnose the problem from a design perspective, and what experiments would you propose?" (Showcase analytical thinking, problem-framing, and data-informed decision-making.) Company & Culture Questions:
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"What excites you about working on AI products and specifically in the video creation space?" (Show enthusiasm and understanding of the domain.)
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"How do you approach collaboration with Product Managers and Engineers, especially when there are differing opinions on design direction?" (Highlight your communication and stakeholder management skills.)
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"How do you stay updated on the latest trends in growth design and AI technology?" (Demonstrate a commitment to continuous learning.) Portfolio Presentation Strategy:
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Start with Impact: Begin each case study by stating the problem and the key metrics you aimed to influence.
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Detail Your Process: Walk through your research, ideation, design, and iteration phases, explaining your rationale at each step.
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Showcase Data & Experimentation: Clearly articulate how data and experimentation informed your decisions and led to the final outcome. Use visuals for data representation where appropriate.
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Highlight Collaboration: Mention how you worked with cross-functional teams and incorporated their feedback.
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Quantify Results: Conclude with the measurable impact of your work, using specific numbers and percentages.
π Enhancement Note: Preparation should focus on demonstrating a deep understanding of growth mechanics, data-driven decision-making, and the ability to translate complex problems into user-centered solutions. The interview will likely probe your strategic thinking and operational impact beyond just visual design.
π Application Steps
To apply for this operations-adjacent design position:
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Submit your application through the provided Jobgether link.
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Tailor your Resume: Highlight experience in growth metrics, user onboarding, activation, retention, A/B testing, and AI product design. Use keywords from the job description.
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Curate Your Portfolio: Select 2-3 strong case studies that best showcase your experience in growth design, data-driven decision-making, and quantifiable impact. Ensure each case study clearly outlines the problem, your process, and the results.
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Prepare Your Narrative: Be ready to articulate your design process, strategic thinking, and the business impact of your work during interviews. Practice presenting your portfolio case studies concisely.
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Research the Partner Company: Although not explicitly named, try to infer the company's mission, product, and target market based on the "AI-powered video creation" description. Understand the challenges of growth in this space.
β οΈ 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
Requires significant senior or staff-level experience in product design within high-growth technology environments, specifically focusing on product-led growth metrics. Must possess strong prototyping skills and the ability to synthesize behavioral data into actionable design strategies for AI-native products.