π Job Overview
Job Title: Staff Product Designer
Company: Snyk
Location: Lisbon, Portugal
Job Type: Full-time
Category: Product Design / Engineering Tools
Date Posted: October 1, 2026
Experience Level: 8+ Years (with 10+ years implied by AI analysis)
Remote Status: Hybrid (Remote OK within Portugal)
π Role Summary
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Drive the end-to-end design of a novel, AI-native security platform, focusing on the integration of AI agents within developer workflows.
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Define and refine the user experience for how engineering and security teams collaborate with AI agents for security tasks, including problem framing, research, interaction models, and final UI.
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Establish best practices and new interaction patterns for AI agents, ensuring trust, clarity, and efficient human-in-the-loop controls.
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Design for developer-centric environments such as CLI, IDE, and pull requests, in addition to web-based interfaces.
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Conduct strategic user research to identify and address complex problems in the evolving landscape of AI-assisted software development and security.
π Enhancement Note: The AI-derived experience level of "10+" years is an inference based on the "8+ years" requirement and the "Staff" level title, suggesting a need for significant senior-level expertise and leadership. The "Remote OK" status, combined with the specific location of Lisbon, Portugal, implies a hybrid model where remote work is permissible, but the role is tied to a physical presence in Portugal for potential team collaboration or office presence.
π Primary Responsibilities
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Lead the conceptualization, design, and implementation of zero-to-one AI security products, from initial problem definition through to shipped user interfaces.
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Architect the agent experience, focusing on seamless handoffs, progress tracking, human intervention, and approval mechanisms for AI-generated security outputs.
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Develop and implement AI interaction patterns that address agent actions, confidence levels, explanations, and human-in-the-loop controls to foster developer trust.
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Design user experiences across multiple developer touchpoints, including command-line interfaces (CLI), Integrated Development Environments (IDE), pull requests, and AI coding agents.
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Conduct in-depth research on strategic questions, identifying nascent problems and translating findings into actionable insights for product and engineering teams.
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Model complex systems involving agents, workflows, policies, findings, and fixes, and articulate the interdependencies and gaps between different teams.
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Utilize AI tools for rapid prototyping in code, exploring diverse design directions, and conducting user testing within short iterative cycles.
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Contribute directly to production code by raising pull requests with AI-generated code, leveraging Snyk's design system components.
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Facilitate workshops and sprints to align product, engineering, and security research teams, particularly when strategic direction is uncertain.
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Enhance the AI fluency of the broader design team through coaching, sharing tools, and developing example workflows.
π Enhancement Note: The responsibilities emphasize a "zero-to-one" product ownership and a deep involvement in the development lifecycle, including shipping production code. This indicates a highly autonomous and impactful role for a senior designer focused on innovation in a rapidly evolving AI security space.
π Skills & Qualifications
Education: While no specific degree is listed, a strong portfolio demonstrating equivalent practical experience and mastery of design principles is paramount.
Experience: 8+ years of dedicated product design experience, with a substantial focus on designing for technical users in fields such as developer tools, security, cloud infrastructure, or APIs.
Required Skills:
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End-to-end product design craft, encompassing interaction design, information architecture, and visual polish.
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Systems thinking capabilities to translate new patterns into reusable and scalable design components.
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Proven ability to move fluidly between strategic problem-solving and detailed, pixel-level execution.
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Demonstrated experience with an AI-native workflow, including prototypes, tools, or agents built with coding agents within the last six months and tested with users.
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Strong judgment in designing agent UX, including understanding when to automate versus prompt, communicating reasoning and uncertainty, and designing effective human review and intervention mechanisms.
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Excellent storytelling and communication skills, capable of engaging executives, engineers, and customers.
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Experience conducting user research and translating insights into actionable design solutions.
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Proficiency in prototyping tools and methodologies, with an emphasis on rapid iteration. Preferred Skills:
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Domain expertise in application security, software supply chain security, or AI/agent security (e.g., MCP servers, prompt injection, AI governance).
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Experience contributing to production codebases using code generated by AI coding agents.
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Personal projects or contributions involving agents, skills, MCP servers, or AI workflows.
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Experience designing for orchestration, observability, or governance products.
π Enhancement Note: The explicit requirement for an "AI-native workflow" and "prototypes, tools or agents you've built with coding agents" highlights a critical differentiator. This isn't just about designing for AI, but demonstrating hands-on experience using AI in the design process itself. The emphasis on "8+ years" for technical users suggests a need for deep empathy and understanding of developer pain points and workflows.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase at least one shipped project specifically designed for technical users, demonstrating an understanding of complex workflows and enterprise constraints.
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Include examples that highlight your systems thinking, showing how individual design elements connect into a cohesive and scalable system.
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Provide evidence of end-to-end design ownership, from initial problem framing and research to final visual polish and interaction detail.
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Demonstrate your ability to articulate complex technical concepts and user flows clearly through design artifacts. Process Documentation:
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Present case studies that detail your design process for a complex technical product, emphasizing problem identification, user research methodologies, and iterative design solutions.
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Illustrate your approach to defining and refining AI interaction patterns, including how you address concepts like agent actions, confidence, explanations, and human-in-the-loop controls.
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Include examples of how you've modeled complex systems and workflows, showing your ability to understand and design for intricate interdependencies.
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Document your experience using AI tools in your design workflow, with specific examples of code-generated prototypes or contributions.
π Enhancement Note: The portfolio requirements are highly specific, demanding not just visual design but also proof of process, systems thinking, and hands-on experience with AI tools. The inclusion of a "repo, a PR, a live prototype or a short walkthrough video" of something built with a coding agent is a unique and crucial element for evaluation.
π΅ Compensation & Benefits
Salary Range: Based on industry benchmarks for Staff Product Designers in major European tech hubs (like Lisbon), with specific considerations for a senior role at a growth-stage tech company like Snyk, a competitive annual salary range would likely fall between β¬80,000 - β¬120,000. This estimate accounts for the experience level, the strategic nature of the role, and the cost of living in Lisbon.
Benefits:
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Comprehensive health and wellness support programs.
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Financial security initiatives designed to support employees' long-term financial well-being.
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Work-life balance initiatives to promote a healthy integration of professional and personal life.
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Access to Employee Resource Groups (ERGs) for community building and support.
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Opportunities for professional development and continuous learning.
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Potential for stock options or equity, common in growth-stage tech companies.
Working Hours: Standard full-time hours (approximately 40 hours per week) are expected, with flexibility often provided to accommodate different working styles and time zone coordination, especially for remote employees.
π Enhancement Note: A specific salary range is estimated based on the "Staff" level title, the location in Lisbon, Portugal, and general industry data for senior product design roles in European tech hubs. The benefits listed are directly pulled from the "About Snyk" section and are tailored to resonate with professionals seeking a supportive work environment.
π― Team & Company Context
π’ Company Culture
Industry: Technology, specifically focused on Developer Security and AI-driven Security Platforms. Snyk operates at the intersection of cybersecurity, software development, and artificial intelligence, a rapidly growing and critical sector.
Company Size: Snyk is a well-established, venture-backed tech company, likely falling into the "501-1000 employees" or "1001-5000 employees" range based on its market presence and funding. This size indicates a dynamic environment with established processes but still retaining agility and a strong startup spirit.
Founded: Snyk was founded in 2015, positioning it as a mature but still innovative player in the cybersecurity and developer tooling space. This history suggests a solid foundation of product development and market understanding.
Team Structure:
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The Product Design team likely comprises designers with varied specializations, including UX, UI, and potentially UX research.
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This role is part of a new, AI-native security platform initiative, suggesting a dedicated, cross-functional "zero-to-one" team.
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Collaboration will be very close with Product Management, Engineering (including AI/ML engineers and core developers), and Security Research teams.
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The reporting structure for a Staff Designer typically involves reporting to a Design Lead, Director of Design, or VP of Product. Methodology:
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Snyk emphasizes a data-driven approach, leveraging user research and product analytics to inform design decisions.
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The company champions an agile development methodology, with rapid iteration and close collaboration between design, product, and engineering.
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A strong focus on developer experience (DevEx) is inherent to Snyk's mission, meaning designs are rigorously tested for usability and efficiency by technical users.
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The new initiative will likely adopt a lean, experimental approach, rapidly prototyping and validating concepts with AI tools.
Company Website: https://snyk.io/
π Enhancement Note: The company context emphasizes Snyk's position as a leader in developer security, now pivoting to leverage AI. The "zero-to-one" nature of this specific product initiative suggests a high degree of autonomy and entrepreneurial spirit within the role, even within a larger, established company.
π Career & Growth Analysis
Operations Career Level: Staff Product Designer. This level signifies a senior individual contributor with significant influence. It implies ownership of complex product areas, mentorship capabilities, and the ability to drive strategic design direction. Staff Designers are expected to operate with a high degree of autonomy, tackle ambiguous problems, and contribute to the overall design vision and strategy.
Reporting Structure: This role will likely report to a Design Manager, Director of Design, or Head of Product Design. The immediate team will be cross-functional, consisting of Product Managers, Engineers (including AI/ML specialists), and potentially UX Researchers. Close collaboration with leadership across Product, Engineering, and Security will be essential.
Operations Impact: The Staff Product Designer will have a profound impact on Snyk's strategic direction by shaping the core AI-native security platform. Their work will directly influence how developers interact with security, how secure software is developed in the age of AI, and Snyk's competitive positioning in a rapidly evolving market. Success in this role means defining the future of developer security and driving significant adoption of Snyk's new platform.
Growth Opportunities:
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Technical Specialization: Deepen expertise in AI/ML UX, developer tools, and application security.
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Leadership & Mentorship: Grow into a formal leadership role (e.g., Principal Designer, Design Lead) or informally mentor junior designers.
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Strategic Influence: Contribute to product strategy, roadmap planning, and the definition of new market opportunities within Snyk.
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Cross-functional Impact: Gain experience leading complex, cross-functional initiatives that span multiple product lines.
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Industry Recognition: Become a thought leader in the emerging field of AI-driven security design.
π Enhancement Note: The "Staff" level designation is key here, indicating a highly experienced individual contributor who is expected to shape strategy and mentor others, not just execute tasks. The growth opportunities are framed around deepening expertise and increasing strategic influence within the company.
π Work Environment
Office Type: Snyk likely operates with a hybrid work model, offering flexibility. While remote work is possible within Portugal, there may be an expectation for occasional in-office collaboration in Lisbon, or access to co-working spaces if a central office isn't utilized.
Office Location(s): The primary listed location is Lisbon, Portugal. Snyk has a global presence, so while this role is based in Portugal, team members may be distributed across various regions.
Workspace Context:
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The work environment is expected to be fast-paced and innovative, characteristic of a high-growth tech company.
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Expect a highly collaborative culture where designers work closely with engineers, product managers, and researchers.
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Access to modern design tools, collaboration platforms, and potentially company-provided hardware/software for AI development and prototyping.
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The focus will be on outcomes and impact, with an emphasis on agility and rapid iteration.
Work Schedule: While a standard 40-hour work week is typical, Snyk likely offers flexibility in scheduling to accommodate remote work, cross-time zone collaboration, and personal needs, promoting a healthy work-life balance.
π Enhancement Note: The hybrid nature of the work environment, combined with the specific location in Lisbon, suggests a need for adaptability and strong remote collaboration skills, while also being open to in-person interaction when beneficial.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A recruiter will likely review your application, focusing on your resume and portfolio link. Be prepared to articulate your experience with technical users and AI.
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Hiring Manager Interview: A discussion with the hiring manager (likely a Design Lead or Director) to assess your experience, approach to design challenges, and fit with the team's strategic goals.
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Portfolio Presentation & Design Challenge: A key stage where you'll present your portfolio, focusing on relevant case studies. This may be combined with a design challenge or problem-solving exercise related to AI security or developer workflows. Expect to discuss your process, decision-making, and how you'd tackle specific problems.
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Cross-functional Interviews: Meetings with Product Managers, Engineers, and potentially Security Researchers to evaluate your collaboration skills, technical understanding, and ability to work effectively in a cross-functional team.
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Executive/Leadership Interview: A final conversation with senior leadership to assess strategic thinking, leadership potential, and overall cultural alignment.
Portfolio Review Tips:
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Curate Strategically: Select 2-3 projects that best showcase your experience with technical users, complex workflows, and ideally, any AI-related design work.
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Highlight the "AI-Native Workflow": Dedicate a section or specific project to demonstrating your hands-on experience with AI coding agents, showing prototypes, PRs, or walkthroughs. Clearly explain what you built, your process, and what you learned.
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Showcase End-to-End Ownership: For each project, detail the problem, your role, your process (research, ideation, prototyping, testing, iteration), and the impact/outcomes.
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Emphasize Systems Thinking: Illustrate how your designs fit into larger systems and how you considered scalability and reusability.
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Quantify Impact: Wherever possible, include metrics or qualitative feedback that demonstrate the success and impact of your designs.
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Tell a Story: Structure your presentation to narrate your design journey, highlighting challenges and how you overcame them.
Challenge Preparation:
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Anticipate AI & Security Scenarios: Prepare for design challenges related to AI agent interaction, developer workflows, security policy enforcement, and data privacy in AI contexts.
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Think Systemically: Be ready to map out complex workflows and consider edge cases, error states, and user recovery mechanisms.
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Focus on Process: When presenting solutions, emphasize your thought process, research, and decision-making rationale rather than just the final UI.
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Demonstrate AI Fluency: Show an understanding of current AI capabilities and limitations, and how they can be leveraged or mitigated through design.
π Enhancement Note: The interview process is structured to thoroughly assess not only design craft but also strategic thinking, AI fluency, and cross-functional collaboration, with a heavy emphasis on the portfolio's demonstration of hands-on AI experience.
π Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (standard for UI/UX design), Sketch, Adobe Creative Suite.
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Prototyping: InVision, Principle, Framer (for more advanced interactive prototypes).
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AI Coding Agents: Claude Code, Cursor, GitHub Copilot, or similar tools for prototyping and development assistance.
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Collaboration: Slack, Microsoft Teams, Jira, Confluence.
Analytics & Reporting:
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Tools for user analytics (e.g., Amplitude, Mixpanel) to understand user behavior within the platform.
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Familiarity with data analysis to inform design decisions and measure impact. CRM & Automation:
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While not a direct CRM role, understanding how design impacts user journeys within a CRM context or sales enablement tools might be beneficial.
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Familiarity with workflow automation concepts as they relate to developer tools and security processes.
π Enhancement Note: The explicit mention of AI coding agents like "Claude Code" and "Cursor" is crucial, indicating these are not just nice-to-haves but core to the expected workflow and thus, likely to be assessed in the interview process.
π₯ Team Culture & Values
Operations Values:
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Security-First Mindset: A deep commitment to making software safer, understanding the critical nature of security in the digital world.
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AI-Native Innovation: Embracing and actively using AI to redefine how software is built and secured, pushing the boundaries of what's possible.
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Developer Empathy: Designing with a profound understanding of developers' needs, workflows, and pain points, aiming to improve their experience.
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Collaboration & Transparency: Working closely with cross-functional teams, sharing ideas openly, and fostering a transparent environment for design and development.
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Impact & Ownership: Taking pride in delivering tangible results, owning product areas end-to-end, and driving meaningful change.
Collaboration Style:
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Cross-functional Integration: Designers are expected to be deeply embedded within product and engineering teams, participating in sprint planning, stand-ups, and retrospectives.
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Data-Informed Decision Making: A culture that values evidence from user research and analytics to guide design choices, balanced with strong design intuition.
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Constructive Feedback: An environment where feedback is regularly exchanged, and design solutions are iterated upon collaboratively to achieve the best outcomes.
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Experimentation: Encouraging a willingness to explore new ideas, prototype rapidly, and learn from both successes and failures.
π Enhancement Note: The culture values are aligned with Snyk's mission in security and its forward-looking approach to AI, emphasizing empathy for developers and a collaborative, impact-driven work style.
β‘ Challenges & Growth Opportunities
Challenges:
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Defining Novel AI Interactions: Creating intuitive and trustworthy user experiences for AI agents that are fundamentally new to many users.
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Balancing Automation and Control: Designing systems that effectively leverage AI automation while providing developers with necessary control, oversight, and the ability to intervene.
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Evolving Developer Workflows: Adapting designs to the rapidly changing landscape of AI-assisted software development (e.g., IDE integrations, AI coding agents).
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Building Trust in AI Security: Overcoming skepticism and building deep user trust in AI-driven security solutions, especially for critical enterprise applications.
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Cross-functional Alignment: Ensuring seamless collaboration and shared understanding between design, product, engineering, and security research on complex AI initiatives.
Learning & Development Opportunities:
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Deep Dive into AI/ML UX: Gain unparalleled experience in designing for AI agents and human-AI collaboration in a critical domain.
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Mastery of Developer Tools: Become an expert in the nuances of designing for developers across various environments (CLI, IDE, web).
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Strategic Product Leadership: Develop skills in problem framing, strategic research, and influencing product roadmaps at a senior level.
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Industry Exposure: Work on cutting-edge technology at the forefront of AI and cybersecurity, potentially leading to speaking opportunities or industry recognition.
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Mentorship: Opportunities to mentor junior designers and contribute to the growth of the design team's AI fluency.
π Enhancement Note: The challenges are directly tied to the innovative nature of the role, focusing on the complexities of designing for AI in a security context. The growth opportunities highlight the unique learning potential in this specialized and emerging field.
π‘ Interview Preparation
Strategy Questions:
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"How would you approach designing the interaction model for an AI agent that suggests code fixes for security vulnerabilities? What are the key considerations for developer trust and adoption?" (Focus on AI interaction patterns, human-in-the-loop, and developer empathy.)
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"Describe your process for identifying and framing problems in a new and ambiguous product space like AI-driven security. How do you move from 'unknown' to 'actionable insight'?" (Emphasize research methodology, strategic thinking, and problem framing.)
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"Imagine a scenario where an AI agent makes a critical security mistake. How would you design the user experience to detect, alert, and allow for quick remediation by a human user?" (Focus on error handling, transparency, and recovery mechanisms.) Company & Culture Questions:
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"What excites you about Snyk's mission to secure the digital world, and how does our AI-native approach to security resonate with your design philosophy?" (Showcase your alignment with Snyk's mission and your interest in AI.)
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"How do you see the role of a Staff Product Designer evolving with the rise of AI in software development and security? How would you contribute to the AI fluency of the design team?" (Demonstrate your forward-thinking perspective and leadership potential.)
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"Describe a time you had to influence stakeholders or a cross-functional team with a strong design vision, especially when direction was unclear." (Highlight your communication, persuasion, and leadership skills.) Portfolio Presentation Strategy:
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Structure Your Narrative: Begin with a high-level overview of Snyk's mission and the product initiative. Then, dive into your selected portfolio pieces, framing each as a solution to a specific problem.
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Show, Don't Just Tell: For your AI-native workflow example, use a live demo, screen recording, or detailed walkthrough to showcase your work with coding agents. Explain your process, tools used, and learnings.
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Focus on "Why": For each design decision, articulate the rationale behind it, linking it back to user needs, business goals, or technical constraints.
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Emphasize Systems Thinking: Clearly explain how your designs integrate into the broader product ecosystem and how they scale.
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Quantify Impact: Present any metrics or user feedback that demonstrate the success of your projects. If direct metrics aren't available, discuss anticipated outcomes or qualitative improvements.
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Prepare for Q&A: Anticipate questions about your design choices, your process, your experience with AI, and how you handle ambiguity and feedback.
π Enhancement Note: The interview questions are designed to probe for deep understanding of AI UX, strategic thinking, and hands-on experience, aligning with the core requirements of the role. The portfolio presentation strategy emphasizes demonstrating practical application and strategic rationale.
π Application Steps
To apply for this Staff Product Designer position:
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Submit your application through the provided link on jobs.ashbyhq.com, ensuring your resume and portfolio are up-to-date.
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Portfolio Customization: Tailor your portfolio to prominently feature projects involving technical users, complex workflows, and especially your "AI-native workflow" with coding agents. Ensure a clear walkthrough of at least one AI-built project is included.
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Resume Optimization: Highlight your 8+ years of experience, specific contributions to developer tools, security products, or complex enterprise software, and any experience with AI in your design process. Use keywords like "Staff Product Designer," "AI-native," "developer tools," "security," and "systems thinking."
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Interview Preparation: Practice articulating your design process, strategic thinking, and your approach to AI-driven product development. Prepare to present your portfolio and discuss your AI workflow example in detail.
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Company Research: Familiarize yourself with Snyk's mission, its existing security platform, and its strategic move into AI. Understand the evolving landscape of developer security and AI's role within it.
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
The role requires over 8 years of product design experience, specifically with technical users and complex enterprise workflows. Candidates must demonstrate an AI-native design process and the ability to translate strategic problems into actionable UI and interaction models.