Remote Product Designer - Sr.

Jobgether
Full-time

šŸ“ Job Overview

Job Title: Senior Product Designer

Company: Jobgether (Partner Company)

Location: Remote (Colombia Time Zones Preferred)

Job Type: Full-time

Category: Product Design / GTM Operations

Date Posted: May 12, 2026

Experience Level: Senior (8+ years required, AI focus implies 10+ years for true expertise)

Remote Status: Fully Remote

šŸš€ Role Summary

  • Spearhead the end-to-end product experience, with a strong emphasis on AI-driven workflows and intuitive user guidance.

  • Drive UX and UI consistency by collaborating closely with design systems teams to maintain and evolve established patterns.

  • Partner with product management and engineering to strategically define product roadmaps and user experiences, ensuring alignment with business objectives.

  • Advance AI interaction patterns to foster deeper user understanding and build trust in the platform's capabilities.

  • Lead by example in visual design and interaction quality through advanced prototyping and concept visualization.

  • Standardize UX patterns and documentation across the entire platform to ensure scalability, flexibility, and maintainability.

šŸ“ Enhancement Note: The core of this role focuses on the strategic application of product design principles within an AI-centric product environment. While the title is "Product Designer," the emphasis on "AI-driven workflows," "user guidance," and "advancing AI interaction patterns" positions this as a critical role within the Go-To-Market (GTM) strategy, ensuring that the product's advanced capabilities are translated into user-friendly and impactful experiences that drive adoption and customer success. The requirement for influencing design standards beyond individual features also points to a strategic, operations-adjacent contribution.

šŸ“ˆ Primary Responsibilities

  • Own the complete product design lifecycle for AI-powered features, from ideation and research to high-fidelity prototyping and handoff to engineering.

  • Develop and maintain comprehensive design documentation, including user flows, wireframes, prototypes, and visual assets, ensuring clarity for cross-functional teams.

  • Conduct user research, usability testing, and A/B testing to gather insights and iteratively improve the user experience of AI-driven functionalities.

  • Champion best practices in AI-human interaction design, focusing on transparency, explainability, and user control.

  • Collaborate with GTM teams to understand market needs, competitive landscape, and customer feedback to inform design decisions and product strategy.

  • Contribute to the evolution of the company's design system, ensuring it supports the unique requirements of AI-powered features and remains adaptable.

  • Proactively identify opportunities for design innovation and process improvement within the product development cycle.

šŸ“ Enhancement Note: The responsibilities clearly indicate a need for senior-level strategic thinking and execution. The focus on "AI-driven workflows" and "user guidance" implies a direct link to how users will adopt and derive value from the product, which is a critical GTM consideration. The responsibility to "advance AI interaction patterns" suggests a forward-thinking approach to user engagement that directly impacts market perception and adoption rates.

šŸŽ“ Skills & Qualifications

Education:

Experience:

  • A minimum of 8 years of professional product design experience, with a significant portion dedicated to designing complex systems and user interfaces.

  • Demonstrated experience in designing and shipping AI-powered products, showcasing an understanding of AI's unique design challenges and opportunities.

  • Proven track record of working effectively in cross-functional teams, collaborating closely with product managers, engineers, and other stakeholders.

Required Skills:

  • Expert Level proficiency in Figma: This includes advanced capabilities in component creation, auto-layout, prototyping, and collaboration features.

  • Deep understanding of Design Systems: Ability to contribute to, maintain, and leverage design systems for consistent and scalable UI/UX.

  • AI-Powered Product Design Expertise: Strong conceptual understanding and practical experience in designing for AI, including areas like machine learning interfaces, data visualization for AI outputs, and user onboarding for AI features.

  • User Experience (UX) Research & Strategy: Proficiency in conducting user research, usability testing, and translating findings into actionable design strategies.

  • Interaction Design & Prototyping: Advanced skills in creating interactive prototypes to effectively communicate design concepts and test user flows.

  • Visual Design & UI Principles: Strong aesthetic sense and a deep understanding of visual hierarchy, typography, color theory, and layout.

Preferred Skills:

  • Familiarity with AI Design Tools: Experience with specialized tools or frameworks for AI/ML design and prototyping.

  • Knowledge of HTML, CSS, and Modern Front-End Concepts: Understanding of how designs are implemented in code, facilitating better collaboration with engineering.

  • Motion Design & Animation: Skill in using motion to enhance user experience, guide attention, and provide feedback.

  • Experience with A/B Testing & Data Analysis: Ability to leverage data to inform design decisions and measure the impact of design changes.

  • Understanding of AI/ML concepts: Basic knowledge of how AI and machine learning models work to better inform design decisions.

šŸ“ Enhancement Note: The "8+ years" requirement, combined with the "AI-powered products" expertise and the need to "influence design standards," strongly suggests a candidate who can operate at a strategic level, akin to a Design Lead or Principal Designer. The emphasis on Figma and design systems indicates a need for hands-on proficiency alongside strategic oversight. The mention of HTML/CSS suggests a preference for designers who understand the technical implementation constraints.

šŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • End-to-End Case Studies: Showcase at least 2-3 detailed case studies that demonstrate ownership of the entire product design process, from problem definition and user research to solution design, prototyping, and (ideally) post-launch iteration.

  • AI-Specific Design Examples: Include specific examples of how you've designed for AI-driven features, highlighting challenges, solutions, and user outcomes. This could involve AI workflows, recommendation systems, predictive analytics interfaces, or conversational AI.

  • Design System Contribution/Usage: Evidence of contributing to or extensively utilizing a design system, demonstrating an understanding of its principles and application for consistency and scalability.

  • Prototyping & Interaction Demos: Include interactive prototypes (links to Figma, InVision, or video demonstrations) that showcase complex interactions, animations, and user flows.

  • Impact & Metrics: For each case study, clearly articulate the problem statement, your role, the design decisions made, and the measurable impact of your work (e.g., improved conversion rates, increased user engagement, reduced task completion time, positive user feedback).

Process Documentation:

  • Workflow Design Optimization: Demonstrate instances where you've analyzed existing user workflows and implemented design changes to improve efficiency, reduce friction, or enhance user understanding, particularly for complex or AI-driven processes.

  • Cross-Functional Collaboration Artifacts: While not always directly in a portfolio, be prepared to discuss how you document and communicate design decisions to product and engineering teams, such as detailed handoff documentation, spec sheets, or collaborative design reviews.

  • User Research Synthesis: Show examples of how you synthesize user research findings into actionable insights that drive design decisions and product strategy.

šŸ“ Enhancement Note: For a Senior Product Designer role, especially one focused on AI, the portfolio needs to go beyond just showcasing visual design. It must demonstrate strategic thinking, the ability to tackle complex problems, and a data-driven approach to design. The emphasis on "AI-driven workflows" means showcasing how design can simplify or enhance complex technical processes for the user, which is a key aspect of GTM success.

šŸ’µ Compensation & Benefits

Salary Range:

Benefits:

  • Unlimited Paid Time Off (PTO): Offers significant flexibility and autonomy in managing personal time off, promoting work-life balance.

  • Comprehensive Health Coverage: Includes excellent medical, dental, and vision insurance plans, ensuring employee well-being.

  • Employee Equity Options: Provides employees with ownership in the company, aligning their success with the company's growth and market performance.

  • Discounts & Wellness Programs: Access to various employee discounts and virtual wellness classes, supporting holistic employee health and engagement.

  • Comprehensive Pet Insurance: A unique benefit that supports employees' non-human family members, enhancing overall employee satisfaction.

Working Hours:

  • Full-time (40 hours per week): Standard full-time commitment expected.

  • Remote Flexibility: While hours are full-time, the remote nature allows for flexibility in daily scheduling, provided core collaboration hours are met. Preference is given to candidates within Colombia time zones (e.g., UTC-5) to facilitate real-time collaboration with engineering and product teams.

šŸ“ Enhancement Note: The salary range is an estimation for a senior remote role, considering the US tech market standards that often influence global remote compensation. The benefits listed are quite extensive, suggesting a company that heavily invests in employee well-being and long-term commitment. The note about Colombia time zones is crucial for candidates to understand potential scheduling expectations.

šŸŽÆ Team & Company Context

šŸ¢ Company Culture

Industry: Technology / SaaS / AI Platform

Company Size: The raw data doesn't specify, but the presence of a "Senior Product Designer" role and a comprehensive benefits package suggests a company that has moved beyond the early startup phase and is likely in the Series A to Series C funding stage, potentially employing between 50-500 individuals. This size implies a dynamic environment with established processes but still room for impact.

Founded: Not specified, but the focus on AI and platform development suggests a relatively modern company, likely founded within the last 5-10 years.

Team Structure:

  • Operations Team: While not explicitly stated, the role of a Senior Product Designer is inherently tied to the GTM operations by ensuring the product is designed for user adoption and value realization. This role likely collaborates closely with Product Management, Engineering, Marketing, and potentially Sales Enablement teams.

  • Design Team: The designer will likely be part of a dedicated Product Design team, possibly reporting to a Head of Design or Design Lead. This team would be responsible for all aspects of user experience and interface design across the company's platform.

  • Reporting Structure: Expected to report to a design leadership role, with direct collaboration with Product Managers and Engineering Leads for specific product initiatives.

Methodology:

  • Data-Driven Design: Expect a strong emphasis on using data from user analytics, A/B testing, and user research to inform design decisions and measure impact.

  • Agile Development: Likely follows an agile or iterative development methodology, requiring designers to work closely with engineering teams in sprints.

  • User-Centricity: A core principle of the company's approach, ensuring that user needs and feedback are central to product development.

Company Website: jobgether.com (This appears to be the platform posting the job, not necessarily the partner company's website. A true partner company website would need to be identified.)

šŸ“ Enhancement Note: The context of Jobgether posting this role implies that the partner company is likely a tech-focused organization leveraging AI. The company size and founding date are inferences based on the role's seniority and the nature of the product. The emphasis on GTM operations connection is key for this role.

šŸ“ˆ Career & Growth Analysis

Operations Career Level: This is a Senior individual contributor role. It signifies a high level of autonomy, strategic input, and a deep understanding of product design principles, particularly within the AI domain. It's a position where the individual is expected to lead design initiatives and mentor junior designers, contributing significantly to the product's success and market positioning.

Reporting Structure: Typically reports to a Design Manager, Head of Design, or a Director of Product. Close collaboration is expected with Product Managers, Engineering Leads, and potentially GTM stakeholders (Marketing, Sales).

Operations Impact: The Senior Product Designer's impact is crucial for GTM success by ensuring the product is intuitive, engaging, and effectively communicates its value proposition. By designing AI-driven workflows that are easy to understand and use, this role directly influences user adoption, retention, and overall customer satisfaction, thereby contributing to revenue generation and market share.

Growth Opportunities:

  • Lead Design Initiatives: Opportunity to lead the design strategy for major product features or entire product areas.

  • Mentorship & Team Leadership: Potential to mentor junior designers and grow into a design lead or manager role.

  • Specialization in AI Design: Deepen expertise in the rapidly evolving field of AI/ML user experience design.

  • Cross-Functional Leadership: Influence product strategy and roadmap discussions through design expertise.

  • Impact on Product Strategy: Play a key role in shaping the future direction of the product and its AI capabilities.

šŸ“ Enhancement Note: The growth path for a Senior Product Designer in an AI-focused company is strong. The ability to impact GTM strategy through user experience design is a significant differentiator. This role offers both technical specialization and potential leadership progression.

🌐 Work Environment

Office Type: Fully Remote. This means the work environment is distributed, with team members working from various locations.

Office Location(s): While the job is remote, the mention of "Columbia" in the location data and "Colombia Time Zones Preferred" indicates a likely focus on candidates residing in or comfortable working within Colombia's time zones (UTC-5). This is often to align with engineering or operational hubs.

Workspace Context:

  • Home Office Setup: Employees are expected to maintain a productive home office environment with reliable internet access.

  • Digital Collaboration: The primary mode of interaction will be through digital tools such as Slack, Zoom, Figma, and project management software.

  • Asynchronous Communication: Given the remote and potentially global nature, proficiency in asynchronous communication is key, alongside scheduled synchronous meetings.

  • Access to Tools: The company provides access to necessary design and collaboration software, including Figma and potentially AI design tools.

Work Schedule:

  • Full-time, 40 hours/week.

  • Flexible scheduling is implied due to the remote nature, though adherence to core collaboration hours (likely aligned with Colombia time zones) will be necessary for effective teamwork and sprint-based development.

šŸ“ Enhancement Note: The remote aspect is central. The preference for Colombia time zones is a strategic choice to ensure effective real-time collaboration, which is critical for agile product development and GTM alignment.

šŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening (Jobgether AI): Your application will first be assessed by Jobgether's AI for core requirements.

  • Hiring Manager/Recruiter Screen: A brief call to assess overall fit, experience, and motivation.

  • Portfolio Review & Design Challenge: A deep dive into your portfolio, likely focusing on your AI design experience and problem-solving skills. This may involve a take-home design challenge or an in-depth discussion of your case studies.

  • Cross-Functional Interviews: Interviews with Product Management and Engineering leads to assess collaboration style, technical understanding, and strategic thinking.

  • Final Interview: Potentially with a higher-level executive or design leader to assess cultural fit and long-term potential.

Portfolio Review Tips:

  • Highlight AI Expertise: Clearly showcase projects where you've designed for AI, explaining the unique challenges and your design solutions.

  • Demonstrate Process: Walk through your design process for at least one complex AI-related project. Explain your rationale, research methods, and how you iterated.

  • Quantify Impact: Use metrics and data to demonstrate the success of your designs. If direct metrics aren't available (e.g., for a concept project), articulate the potential impact and how you would measure it.

  • Showcase Figma & Design Systems: Be prepared to discuss your proficiency with Figma and how you've worked with or contributed to design systems.

  • Tailor to the Role: Emphasize experiences that align with the job description's focus on AI-driven workflows, user guidance, and influencing design standards.

Challenge Preparation:

  • Understand AI Design Principles: Familiarize yourself with common AI/ML UX patterns, ethical considerations, and best practices for user trust and transparency.

  • Problem-Solving: Be ready to tackle a design problem that might involve an AI component. Focus on your approach to understanding the user, defining the problem, and proposing solutions.

  • Communication: Practice articulating your design decisions clearly and concisely, explaining the 'why' behind your choices to both design and non-design audiences.

šŸ“ Enhancement Note: The Jobgether AI screening is a unique first step. The interview process emphasizes a strong portfolio review, especially concerning AI and complex systems. Candidates should prepare to defend their design decisions with data and strategic reasoning.

šŸ›  Tools & Technology Stack

Primary Tools:

  • Figma: Essential for UI design, prototyping, and collaboration. Mastery is required.

  • Prototyping Software: Beyond Figma, potentially tools like ProtoPie, Principle, or After Effects for advanced interaction and motion design.

  • Design Systems Tools: Figma's component features, Storybook, or similar for managing and documenting design system elements.

Analytics & Reporting:

  • User Analytics Platforms: Tools like Google Analytics, Mixpanel, Amplitude, or Pendo for tracking user behavior and feature adoption.

  • A/B Testing Tools: Optimizely, VWO, or in-platform A/B testing capabilities for experimental design validation.

CRM & Automation:

AI-Specific Tools (Potentially):

  • Experience with AI/ML platforms or tools that aid in AI design exploration or prototyping. This is a preferred rather than strictly required skill.

šŸ“ Enhancement Note: Figma is the cornerstone tool. Proficiency in analytics and A/B testing tools is highly valued for demonstrating data-driven design. Knowledge of AI-specific design tools is a plus, indicating a proactive interest in the domain.

šŸ‘„ Team Culture & Values

Operations Values:

  • Innovation: A drive to explore new technologies and design approaches, especially in the AI space.

  • Collaboration: Strong emphasis on teamwork with product, engineering, and other GTM functions.

  • User-Centricity: Placing the user at the heart of all design decisions, ensuring products are intuitive and valuable.

  • Data-Driven Decision Making: Using insights from data and research to validate and refine design solutions.

  • Quality & Craftsmanship: A commitment to high standards in visual design, interaction design, and overall user experience.

Collaboration Style:

  • Cross-Functional Integration: Designers are expected to be integrated members of product teams, working alongside PMs and engineers throughout the development cycle.

  • Open Communication: Encouragement of open feedback, constructive critique, and proactive communication.

  • Iterative Approach: A culture that embraces prototyping, testing, and continuous improvement based on feedback and data.

  • Knowledge Sharing: Active participation in design critiques, sharing learnings, and contributing to the team's collective knowledge base.

šŸ“ Enhancement Note: The culture likely emphasizes a modern, agile, and collaborative approach to product development, with a strong focus on innovation in AI and user experience.

⚔ Challenges & Growth Opportunities

Challenges:

  • Designing for Explainable AI: Making complex AI decisions transparent and understandable to users while managing user expectations.

  • Balancing Innovation with Usability: Integrating cutting-edge AI features without overwhelming users or compromising the core user experience.

  • Cross-Time Zone Collaboration: Effectively collaborating with a distributed team across different time zones, requiring strong asynchronous communication skills.

  • Staying Ahead of AI Trends: Continuously learning and adapting to the rapid advancements in AI technology and design best practices.

Learning & Development Opportunities:

  • AI/ML UX Specialization: Opportunity to become a recognized expert in designing for artificial intelligence.

  • Advanced Prototyping & Motion Design: Develop skills in creating sophisticated interactive prototypes and animations.

  • Leadership Development: Potential for growth into design leadership roles, managing teams and influencing product strategy.

  • Industry Conferences & Training: Access to relevant conferences, workshops, and online courses to stay current with design and AI trends.

šŸ“ Enhancement Note: This role offers significant opportunities to tackle challenging, cutting-edge design problems in the AI space, coupled with clear pathways for professional growth and specialization.

šŸ’” Interview Preparation

Strategy Questions:

  • "How would you approach designing an AI feature that predicts user behavior, ensuring transparency and user control?" (Focus on user research, explainability patterns, and iterative design.)

  • "Describe a time you had to influence product or engineering teams on a significant design decision. What was your strategy and the outcome?" (Highlight collaboration, data-driven arguments, and stakeholder management.)

Company & Culture Questions:

  • "What interests you about designing for AI, and how do you stay current with AI trends?" (Show genuine enthusiasm and a proactive learning approach.)

  • "How do you approach collaboration within a remote, distributed team?" (Emphasize asynchronous communication, proactive engagement, and tool utilization.)

Portfolio Presentation Strategy:

  • Storytelling: Frame each case study as a story: the problem, your role, your process, the solution, and the impact.

  • Focus on the 'Why': Clearly articulate the rationale behind your design decisions, linking them back to user needs and business goals.

  • Show, Don't Just Tell: Use visuals, prototypes, and user flows effectively. For AI features, demonstrate how the interaction works.

  • Quantify Outcomes: Whenever possible, present metrics that demonstrate the positive impact of your work.

  • Be Prepared for Deep Dives: Anticipate detailed questions about your process, tools, and decision-making.

šŸ“ Enhancement Note: Interview preparation should heavily focus on AI-specific design challenges and demonstrating strategic thinking, alongside strong collaboration and communication skills essential for a remote, senior role.

šŸ“Œ Application Steps

To apply for this operations-adjacent product design position:

  • Submit your application through the provided Jobgether application link.

  • Customize Your Resume: Highlight your experience with AI products, complex systems, Figma, design systems, and cross-functional collaboration. Quantify achievements wherever possible.

  • Curate Your Portfolio: Select 2-3 of your strongest case studies, ensuring they prominently feature your AI design experience, process, and quantifiable impact. Prepare to walk through these in detail.

  • Prepare for AI Screening: Understand that Jobgether's AI will assess your fit against core requirements. Ensure your application materials are clear and keyword-rich for AI parsing.

  • Research the Partner Company (if possible): While Jobgether posts the role, try to gather any available information about the partner company's specific AI focus and product to tailor your responses.

  • Practice Your Narrative: Be ready to articulate your design philosophy, your approach to AI design challenges, and your experience working in remote, collaborative environments.

āš 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 should have 8+ years of product design experience, particularly with complex systems and AI-powered products. Expertise in Figma, design systems, and collaboration with product and engineering teams is essential.