Senior Product Designer, North
📍 Job Overview
Job Title: Senior Product Designer, North
Company: Cohere
Location: Remote (Canada, France, United Kingdom, United States)
Job Type: Full-Time
Category: Product Design / GTM Operations
Date Posted: May 1, 2026
Experience Level: Mid-Senior Level (4+ years)
Remote Status: Fully Remote
🚀 Role Summary
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Drive the end-to-end design process for complex AI-driven enterprise workflows, focusing on user experience and product impact.
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Design intuitive and accessible interfaces for sophisticated AI capabilities, balancing technical complexity with user needs.
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Foster strong cross-functional partnerships with Product Management, Engineering, and other stakeholders to align on strategy and execution.
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Conduct user research to inform design decisions, validate concepts, and ensure a user-centered approach to product development.
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Contribute to the evolution and maintenance of scalable design systems and patterns across the North platform.
📝 Enhancement Note: While this role is primarily Product Design, the focus on "enterprise AI," "complex AI-driven workflows," and "agentic systems" places it at a critical intersection with Go-to-Market (GTM) operations. The success of enterprise AI adoption hinges on seamless user experiences, which directly impacts sales enablement, customer success, and overall revenue generation. Therefore, this role requires a strong understanding of how design influences operational efficiency and customer adoption of AI products.
📈 Primary Responsibilities
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Own the complete design lifecycle for the North product area, from ideation and user research to high-fidelity mockups and implementation support.
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Translate complex AI concepts and agentic system behaviors into user-friendly interfaces that empower users to leverage sophisticated capabilities effectively.
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Lead user research initiatives, including interviews, usability testing, and data analysis, to identify user pain points and opportunities for improvement.
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Collaborate with Product Managers to define product strategy, prioritize features, and ensure design solutions align with business objectives.
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Partner with Engineering teams to ensure accurate implementation of designs, providing clear specifications and making pragmatic tradeoffs when necessary.
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Develop and maintain scalable design systems, UI patterns, and style guides to ensure consistency and efficiency across the North platform.
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Advocate for the user throughout the product development process, ensuring their needs and feedback are central to design decisions.
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Contribute to defining and measuring design success through key performance indicators (KPIs) and user outcome metrics.
📝 Enhancement Note: The emphasis on "complex AI-driven workflows," "agentic systems," and "balancing technical complexity with accessibility" suggests a need for designers who can not only create aesthetically pleasing interfaces but also architect logical, efficient, and controllable user journeys for advanced AI tools. This aligns with GTM operations' need for products that are easy to adopt, use, and demonstrate value for enterprise clients.
🎓 Skills & Qualifications
Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is often beneficial for understanding technical constraints and user psychology. Equivalent practical experience will be strongly considered.
Experience: 4+ years of professional experience in digital product design, with a proven track record of designing and shipping successful products.
Required Skills:
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Product Design Expertise: Demonstrated ability to own the end-to-end design process for digital products, from discovery to delivery.
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AI and Agentic Systems Fluency: Deep understanding of Artificial Intelligence concepts, including how models reason, utilize tools, and orchestrate multi-step workflows; ability to design for these complex interactions.
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User Research Proficiency: Experience conducting qualitative and quantitative user research, translating insights into actionable design strategies.
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Systematic Thinking: Ability to design scalable systems, patterns, and flows that maintain consistency and efficiency across a product suite.
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Figma Proficiency: Expert-level skills in Figma for wireframing, prototyping, high-fidelity design, and design system management.
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Cross-Functional Collaboration: Proven ability to work effectively with Product Managers, Engineers, Researchers, and other stakeholders in a fast-paced environment.
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Communication & Articulation: Clear, concise, and persuasive communication skills to articulate design rationale, document decisions, and align diverse teams.
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Craft and Attention to Detail: Meticulous approach to visual design, including typography, layout, color theory, and composition, ensuring a high standard of polish.
Preferred Skills:
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Experience designing for enterprise software or complex B2B platforms.
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Visual design skills beyond UI, such as branding or illustration.
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Familiarity with front-end development principles (HTML, CSS, JavaScript) to better collaborate with engineers.
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Experience with A/B testing and data-driven design optimization.
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Contribution to or creation of comprehensive design systems.
📝 Enhancement Note: The requirement for "AI and Agentic Fluency" is a critical differentiator. This means candidates must not only be skilled designers but also possess a conceptual understanding of how AI models function and how to represent these complex processes in an intuitive user interface. This is a key aspect that bridges product design with the operational needs of deploying and managing AI in enterprise settings.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase end-to-end design process for at least two complex digital products, ideally within enterprise or AI-related domains.
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Clearly articulate your specific role and contribution within each project, highlighting your problem-solving approach.
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Demonstrate your systems thinking by illustrating how you've designed scalable patterns, components, or design systems.
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Include case studies that detail user research methodologies, design iterations, and the measurable impact of your designs on user outcomes or business metrics.
Process Documentation:
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Detail your approach to user research, including methods used, participant recruitment, and how insights were synthesized and applied.
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Illustrate your workflow for translating user needs and business requirements into design solutions, from low-fidelity wireframes to high-fidelity prototypes.
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Explain your collaboration process with product managers and engineers, including how you manage feedback, iterate on designs, and ensure implementation fidelity.
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Provide examples of how you've contributed to or maintained design systems, including component design, documentation, and governance.
📝 Enhancement Note: For a role involving complex AI systems, portfolios should emphasize the designer's ability to translate abstract concepts into tangible, usable interfaces. This includes showcasing how they've mapped out intricate workflows, managed user states in dynamic systems, and designed for uncertainty or probabilistic outcomes inherent in AI. Demonstrating a structured approach to problem-solving and iterative refinement is crucial.
💵 Compensation & Benefits
Salary Range: For Senior Product Designer roles in major tech hubs (e.g., New York, San Francisco, London, Paris) with 4+ years of experience, the estimated salary range is typically between $130,000 - $180,000 USD (or equivalent in local currency, e.g., £100,000 - £140,000 in the UK, €110,000 - €155,000 in France/EU). This can vary based on specific location, candidate experience, and negotiation.
Benefits:
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Comprehensive Health Coverage: Full health and dental benefits to ensure well-being.
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Mental Health Support: A dedicated budget for mental health resources and services.
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Generous Parental Leave: 100% parental leave top-up for up to 6 months, supporting new parents.
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Personal Enrichment: A budget for personal enrichment activities, including arts, culture, fitness, and workspace improvement.
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Remote Work Support: Co-working stipend and a remote-flexible work environment, acknowledging the need for flexible workspaces.
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Culinary Perks: Weekly lunch stipend, with in-office lunches and snacks provided for those utilizing office spaces.
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Generous Vacation: 6 weeks (30 working days) of paid vacation, emphasizing work-life balance.
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Cutting-Edge Work: Opportunity to work closely with a team at the forefront of AI research and development.
Working Hours: Standard full-time hours are expected, typically around 40 hours per week. Given the remote and global nature of the team, flexibility in working hours may be available to accommodate different time zones and collaboration needs, though core availability during key overlap periods will be important.
📝 Enhancement Note: The salary range provided is an estimate based on industry benchmarks for Senior Product Designers in major tech markets, considering Cohere's position as a leading AI company. Actual compensation will depend on the candidate's location, specific experience, and negotiation. The benefits package is robust, reflecting a commitment to employee well-being, work-life balance, and continuous personal growth, which are attractive to senior-level operations and design professionals.
🎯 Team & Company Context
🏢 Company Culture
Industry: Artificial Intelligence (AI), Machine Learning, Frontier Models, Enterprise AI Solutions. Cohere is at the cutting edge of developing and deploying large language models (LLMs) and AI systems for enterprise use cases such as content generation, semantic search, RAG, and agents.
Company Size: Cohere is a rapidly growing, well-funded AI company, indicating a dynamic and fast-paced environment with significant opportunities for impact. The team structure is likely composed of highly specialized individuals.
Founded: Cohere was founded in 2019, positioning it as a relatively young but established player in the AI space, with a clear mission to scale intelligence.
Team Structure:
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The "North" team likely focuses on specific enterprise AI product offerings or segments, potentially related to advanced agentic capabilities or core platform features for businesses.
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Design roles within Cohere are integrated into product teams, working closely with Product Managers and Engineers, fostering a collaborative and agile development process.
Methodology:
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Data-Driven Product Development: Emphasis on using data, user research, and rigorous analysis to inform product decisions and measure impact.
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Agile & Iterative Design: A fast-paced approach to product development, involving rapid iteration, user feedback loops, and continuous improvement.
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Customer-Centricity: A core belief that understanding and serving customer needs is paramount to success, driving innovation and value.
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AI-Centric Innovation: A culture that embraces experimentation and pushes the boundaries of what's possible with AI technology.
Company Website: Cohere Company Website
📝 Enhancement Note: Cohere's culture is defined by its mission-driven approach, focus on deep technical expertise, and a commitment to scaling AI responsibly. For a Product Designer, this means working with highly intelligent colleagues, tackling complex technical challenges, and contributing to products that have a significant real-world impact. The "North" team designation suggests a focus on a particular product line or market segment within Cohere's broader AI offerings.
📈 Career & Growth Analysis
Operations Career Level: This role is designated as "Senior Product Designer," indicating a mid-to-senior level position. It requires a strong foundation in design principles, practical experience, and the ability to work autonomously on complex problems. The role demands ownership of design initiatives and significant contribution to product strategy.
Reporting Structure: Typically, a Senior Product Designer reports to a Design Lead, Head of Design, or a Director of Product. They will work closely with Product Managers and Engineering leads within their specific product team ("North").
Operations Impact: The design of enterprise AI products directly influences user adoption, customer satisfaction, sales enablement, and ultimately, revenue. Intuitive design for complex AI workflows can reduce training costs, improve productivity, and drive broader adoption of Cohere's AI solutions, thereby having a substantial impact on GTM success and the company's bottom line.
Growth Opportunities:
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Leadership in Design: Potential to grow into a Lead Product Designer role, managing a team or a larger product domain, mentoring junior designers, and influencing design strategy at a higher level.
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Specialization in AI Design: Deepen expertise in designing for AI, agentic systems, and complex data interactions, becoming a sought-after specialist in a rapidly evolving field.
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Cross-Functional Leadership: Develop stronger product strategy and business acumen by working closely with Product Management and other GTM functions, potentially transitioning into product management or strategy roles.
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Impactful Project Ownership: Lead design for critical new features or product areas that define Cohere's enterprise AI offerings, gaining significant visibility and professional development.
📝 Enhancement Note: The "Senior" title implies that candidates are expected to be self-sufficient and capable of leading design efforts. The growth path is clear, offering opportunities for both deep specialization in AI design and broader leadership across product and GTM functions. The direct impact on enterprise adoption of AI makes this a high-visibility role with significant potential for career advancement.
🌐 Work Environment
Office Type: Cohere operates a "remote-flexible" model, with physical offices in Toronto, New York, San Francisco, London, and Paris. Employees can choose to work from these offices, a remote location, or utilize co-working spaces. This offers flexibility while maintaining options for in-person collaboration.
Office Location(s):
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Toronto, Ontario, Canada
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New York, New York, United States
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San Francisco, California, United States
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London, United Kingdom
Workspace Context:
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Collaborative & Distributed: The environment is geared towards effective collaboration across geographically dispersed teams, utilizing digital tools for communication and project management.
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Tech-Forward: Access to cutting-edge AI technology and the tools necessary to design for it.
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High-Performance Culture: A fast-paced, intellectually stimulating environment where team members are passionate about their work and driven by innovation.
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Focus on Craft: An appreciation for high-quality design and meticulous attention to detail, fostering an environment where design excellence is valued.
Work Schedule: While the core work hours are generally full-time (approx. 40 hours/week), the remote-flexible nature allows for some adaptation. However, candidates must be prepared to align with team meeting schedules and collaborate effectively across different time zones. The emphasis is on delivering results rather than strict adherence to a 9-to-5 schedule.
📝 Enhancement Note: The "remote-flexible" approach means candidates must be highly self-motivated and adept at remote collaboration. The presence of physical offices in key global tech hubs provides opportunities for optional in-person interaction, team building, and leveraging office resources, which can be beneficial for operations-focused roles requiring deep collaboration.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess qualifications and alignment with the role.
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Design Challenge/Portfolio Review: A deeper dive into your portfolio, likely involving a presentation of your work. You may be asked to discuss specific projects, your design process, and how you've handled complex problems, especially related to AI or enterprise workflows. Be prepared to discuss the "measurable impact" of your designs.
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Cross-Functional Interviews: Meetings with Product Managers, Engineers, and potentially other designers or stakeholders. These interviews will assess your collaboration skills, technical understanding, and ability to articulate design rationale. Expect questions about how you integrate AI concepts into designs and work with technical constraints.
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Hiring Manager Interview: A final discussion to assess overall fit, career aspirations, and alignment with Cohere's culture and mission.
Portfolio Review Tips:
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Curate Strategically: Select 2-3 of your strongest projects that best showcase your skills in designing complex digital products, ideally with AI/ML or enterprise applications. Highlight projects where you owned the end-to-end process.
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Focus on Process & Impact: For each project, clearly outline the problem, your role, your design process (research, ideation, iteration, testing), and any measurable outcomes or impact achieved. Use data and metrics where possible.
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Demonstrate AI Fluency: If you have experience designing for AI, agentic systems, or complex data interactions, make this a focal point. Explain how you made abstract concepts understandable and controllable.
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Showcase Systems Thinking: Include examples of how you've contributed to or utilized design systems, ensuring consistency and scalability.
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Prepare for Q&A: Be ready to discuss your design decisions, rationale, challenges faced, and lessons learned in detail. Anticipate questions about how you'd approach designing for Cohere's specific product challenges.
Challenge Preparation:
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Understand Cohere's Product: Research Cohere's offerings, mission, and target audience (developers, enterprises). Understand what "North" might refer to in their product suite.
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AI & Agentic System Concepts: Familiarize yourself with current trends and common interaction patterns in AI-driven products and agentic systems. Think about how users interact with and control these systems.
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Enterprise Workflow Design: Consider common challenges in enterprise software adoption and usability, such as integration, scalability, security, and cross-functional team collaboration.
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Practice Articulation: Rehearse explaining your design process and project outcomes clearly and concisely, especially when discussing technical complexities and user impact.
📝 Enhancement Note: The interview process will heavily scrutinize both design craft and the ability to translate complex technical concepts (AI, agentic systems) into user-friendly experiences. The portfolio review is paramount, and candidates should prepare to deeply articulate their process, decision-making, and the tangible impact of their work, especially as it relates to enterprise adoption and operational efficiency.
🛠 Tools & Technology Stack
Primary Tools:
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Figma: The primary tool for UI design, wireframing, prototyping, and design system management. Proficiency is a hard requirement.
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Prototyping Tools: Figma's built-in prototyping capabilities, potentially supplemented by tools like ProtoPie for more complex interactions if needed.
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User Research Platforms: Tools like UserTesting.com, Lookback, Maze, or internal tools for conducting and analyzing user research.
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Collaboration & Project Management: Tools such as Slack, Jira, Confluence, Asana, or similar for team communication, task tracking, and documentation.
Analytics & Reporting:
- While designers may not directly manage these, understanding how to leverage product analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) to inform design decisions and measure impact is valuable.
CRM & Automation:
- While not a direct design tool, understanding how CRM systems (e.g., Salesforce) and marketing automation platforms function can provide context for enterprise user journeys and how AI products integrate into broader business processes.
📝 Enhancement Note: Figma is explicitly called out as a required skill, indicating its central role in Cohere's design workflow. The emphasis on user research and measurable impact suggests that experience with analytics platforms and data-driven design approaches will be highly regarded.
👥 Team Culture & Values
Operations Values:
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Mission-Driven: A strong commitment to Cohere's mission of scaling intelligence to serve humanity, influencing how design contributes to this goal.
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Customer Obsession: A deep focus on understanding and solving customer problems, ensuring that designs deliver tangible value and positive user experiences for enterprises.
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Excellence & Craft: A dedication to high standards in all aspects of work, from technical execution to design quality and user experience.
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Collaboration & Transparency: Open communication and a willingness to work together across disciplines and geographies to achieve common goals.
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Innovation & Curiosity: A drive to explore new possibilities, stay ahead of AI trends, and continuously learn and adapt.
Collaboration Style:
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Cross-Functional Partnership: Designers are expected to be active collaborators, working closely with Product Managers to shape strategy and engineers to ensure successful implementation.
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Data-Informed Decision Making: Design decisions are expected to be grounded in user research, data analysis, and a pragmatic understanding of technical feasibility.
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Iterative Feedback Loops: A culture that encourages constructive feedback and continuous refinement of designs and products.
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Shared Ownership: Team members are encouraged to take ownership of their work and contribute to the overall success of the product and company.
📝 Enhancement Note: The values emphasize a blend of technical ambition, customer focus, and collaborative execution. For a designer, this means being both an individual contributor with high standards and a team player who can effectively communicate and integrate with engineering and product management to drive GTM success for AI products.
⚡ Challenges & Growth Opportunities
Challenges:
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Designing for Novelty: Creating intuitive interfaces for cutting-edge AI capabilities and agentic systems that users may not fully understand yet. This requires strong conceptualization and user education through design.
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Balancing Complexity and Simplicity: Effectively abstracting complex AI functionalities to make them accessible to a broad range of enterprise users without sacrificing power or control.
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Rapidly Evolving AI Landscape: Staying abreast of fast-paced advancements in AI and adapting design strategies to incorporate new capabilities and address emerging user needs.
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Cross-Geographic Collaboration: Ensuring seamless communication and alignment among a distributed team across multiple time zones and cultural backgrounds.
Learning & Development Opportunities:
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Deep AI Domain Expertise: Gain unparalleled experience in designing for advanced AI, LLMs, and agentic systems, becoming a leader in this specialized field.
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Product Strategy Influence: Contribute significantly to product strategy and roadmap decisions, developing a strong understanding of the B2B AI market.
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Mentorship and Leadership: Opportunities to mentor junior designers and potentially lead design initiatives as the company and team grow.
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Industry Exposure: Work with leading researchers and engineers in AI, attending relevant conferences and staying at the forefront of technological innovation.
📝 Enhancement Note: The primary challenge is translating highly complex and novel AI capabilities into usable, valuable products for enterprises. This requires a designer who is not only skilled but also a quick learner, adaptable, and comfortable with ambiguity and rapid change. The growth opportunities are substantial for those who can navigate these challenges.
💡 Interview Preparation
Strategy Questions:
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"Describe a time you designed a complex workflow for enterprise users. What were the key challenges, and how did your design address them?" (Focus on process, user needs, and impact)
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"How would you approach designing an interface for an AI agent that needs to orchestrate multi-step tasks? What are the critical user considerations?" (Assess AI fluency and interaction design thinking)
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"Walk us through a project where you had to collaborate closely with engineers to implement a challenging design. How did you ensure fidelity and manage tradeoffs?" (Evaluate collaboration and technical understanding)
Company & Culture Questions:
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"What excites you about Cohere's mission and the future of AI?" (Gauge passion and alignment with company vision)
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"How do you stay current with AI trends and design best practices in this rapidly evolving field?" (Assess continuous learning and proactivity)
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"Describe your ideal collaboration style with product managers and engineers." (Understand team fit and communication preferences)
Portfolio Presentation Strategy:
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Tell a Story: Frame each project as a narrative, clearly outlining the problem, your role, your process, your solutions, and the outcomes.
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Highlight Your Process: Dedicate time to explaining your design methodology, including research, ideation, iteration, and testing phases.
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Emphasize AI/Complexity: If applicable, specifically call out how you tackled the complexity of AI or agentic systems, and how you made it accessible.
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Showcase Impact: Quantify the results of your work whenever possible (e.g., increased user engagement, reduced task completion time, improved conversion rates).
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Be Ready for Deep Dives: Anticipate detailed questions about your design choices, rationale, and alternative solutions you considered.
📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of AI concepts, the ability to design for complex enterprise workflows, and a collaborative, data-informed approach. The portfolio presentation is a critical opportunity to showcase these skills and your ability to drive measurable impact.
📌 Application Steps
To apply for this Senior Product Designer position:
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Submit your application through the provided link on Ashby.
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Portfolio Customization: Curate your portfolio to prominently feature 2-3 projects that best demonstrate your experience with complex digital products, ideally in AI, enterprise software, or challenging workflow design. Ensure each project clearly outlines the problem, your specific role, your design process, and measurable outcomes.
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Resume Optimization: Tailor your resume to highlight keywords such as "Product Design," "AI Systems," "Agentic Systems," "User Research," "Figma," "Systems Thinking," "Enterprise Solutions," and "Cross-functional Collaboration." Quantify achievements where possible to showcase impact.
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Interview Preparation: Practice articulating your design process, the rationale behind your design decisions, and the impact of your work. Be prepared to discuss your understanding of AI concepts and how you approach designing for complex user needs. Rehearse presenting your portfolio projects.
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Company Research: Thoroughly research Cohere's mission, products, and values. Understand their position in the AI market and the "North" team's potential focus. Prepare thoughtful questions about the role, team, and company culture.
⚠️ 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 4+ years of product design experience with a strong portfolio demonstrating systems thinking and impact. Proficiency in AI concepts, agentic systems, and Figma is required, along with excellent communication and collaboration skills.