Product Designer (Mid–Senior)

AutogenAI
Full-time£55k-90k/year (GBP)London, United Kingdom

📍 Job Overview

Job Title: Product Designer (Mid–Senior)

Company: AutogenAI

Location: London, England, United Kingdom

Job Type: Full-Time

Category: Product Design / GTM Operations Support

Date Posted: 2026-04-20

Experience Level: Mid-Senior (5-10 years)

Remote Status: Hybrid (2 days/week in office)

🚀 Role Summary

  • Shape the future of an AI-powered proposal platform, focusing on user experience and interface design for complex, multi-step workflows.

  • Collaborate cross-functionally with Product, Engineering, and Customer Success to translate user problems into intuitive, AI-assisted solutions.

  • Drive end-to-end design processes, from problem discovery and user research to high-fidelity UI and implementation support.

  • Contribute to and evolve the company's design system to ensure coherence, accessibility, and visual refinement across the product suite.

📝 Enhancement Note: While the role is Product Design, its focus on complex B2B SaaS workflows, AI-assisted collaboration, and enterprise solutions positions it closely with GTM Operations support. Success in this role will require understanding user pain points in proposal writing and sales enablement, aligning design with operational efficiency and revenue generation goals. The emphasis on "AI-assisted workflows" and "co-writing with AI" suggests a need to design for human-AI collaboration, which is a growing area within GTM operations.

📈 Primary Responsibilities

  • Partner with Product Management and Engineering to conduct user research, define user problems, and explore solution spaces for the AI proposal platform.

  • Translate complex user needs and business requirements into clear user flows, wireframes, interactive prototypes, and production-ready UI designs.

  • Design intuitive interaction patterns that enable seamless co-writing experiences between users and AI, ensuring clarity, control, and explainability.

  • Take ownership of features from initial concept through to successful implementation, iterating based on user feedback, usability testing, and engineering collaboration.

  • Actively contribute to the development and maintenance of the design system, promoting consistency, accessibility, and high-quality visual design standards.

  • Champion user advocacy by planning and conducting usability sessions, synthesizing research findings, and integrating insights into design iterations.

  • Collaborate closely with engineers during the implementation phase, providing design specifications, clarifying edge cases, and participating in QA to ensure design integrity.

  • Analyze and understand the nuances of enterprise, compliance-heavy, and proposal/bid workflows to inform design decisions and enhance user efficiency.

📝 Enhancement Note: The core responsibilities highlight a deep involvement in the product development lifecycle, from discovery to delivery. For operations professionals, understanding how the design of these workflows directly impacts sales efficiency, proposal win rates, and customer experience is key. The role requires translating complex operational needs into user-friendly interfaces that streamline processes, reduce manual effort, and improve the quality of output for sales and proposal teams.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a background in Design, Human-Computer Interaction (HCI), or a related field is beneficial. A strong portfolio demonstrating practical application of design principles will be prioritized over formal education.

Experience:

  • A minimum of 5-10 years of dedicated experience as a Product Designer, with a significant portion focused on web-based SaaS products.

  • Proven experience designing for B2B environments, ideally within enterprise software or complex workflow applications.

Required Skills:

  • Portfolio: A compelling portfolio showcasing strong UX thinking, clear problem framing, and high-quality, production-ready UI design for complex, multi-step workflows. Evidence of designing for intricate processes, multiple user types, or high-stakes decision-making scenarios is crucial.

  • UX/UI Design: Expertise in both user experience (UX) and user interface (UI) design, covering user research, information architecture, interaction design, and visual design.

  • Figma Proficiency: Advanced skills in Figma for wireframing, prototyping, and high-fidelity UI design.

  • Workflow Design: Ability to break down complex workflows into simple, usable, and efficient user experiences.

  • User Research & Testing: Experience conducting or supporting user research, usability testing, and synthesizing insights to inform design decisions.

  • Communication & Collaboration: Excellent verbal and written communication skills, with the ability to articulate design decisions, collaborate effectively with cross-functional teams, and provide/receive constructive feedback.

Preferred Skills:

  • AI Design Nuances: Exposure to designing for AI-powered products, including generative AI assistants, copilots, or recommendation systems, with an understanding of trust and explainability in AI.

  • Text-Heavy Tools: Experience with tools that involve significant text manipulation, document editing, or collaborative content creation.

  • Enterprise/Proposal Workflows: Familiarity with enterprise software paradigms, compliance-heavy processes, or specific proposal/bid workflow methodologies.

  • Accessibility Standards: Knowledge of WCAG or other accessibility guidelines and experience designing for diverse user needs.

  • Design Systems: Experience contributing to or actively maintaining design systems.

📝 Enhancement Note: The emphasis on a portfolio demonstrating "complex, multi-step workflows" and "high-stakes decisions" is critical. For operations candidates, this translates to showcasing how their design skills have directly improved efficiency, reduced errors, or streamlined critical business processes within a B2B context. Experience with AI-driven tools is a strong differentiator, aligning with the company's core product.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Problem-Solution Framing: Showcase case studies that clearly articulate a user problem or business challenge, your design process to address it, and the resulting solution.

  • Workflow Visualization: Include examples of how you've mapped out and designed complex, multi-step user journeys, demonstrating an understanding of sequential processes and user flow optimization.

  • UI Design Quality: Present high-fidelity mockups and prototypes that exhibit a strong sense of visual hierarchy, usability, accessibility, and brand consistency.

  • Production Readiness: Demonstrate experience in designing for implementation, including considerations for edge cases, error states, and developer handoff.

  • Impact & Iteration: Highlight how your designs have led to measurable improvements (e.g., increased efficiency, reduced task completion time, improved user satisfaction) and how you've iterated based on feedback.

Process Documentation:

  • Discovery & Research: Provide examples of how you document user research findings, competitive analyses, and initial problem definitions.

  • Design Artifacts: Showcase examples of wireframes, user flows, prototypes, and high-fidelity mockups that clearly communicate design intent and system logic.

  • Design System Contribution: If applicable, demonstrate contributions to or usage of design systems, including style guides, component libraries, and pattern documentation.

  • Collaboration & Handoff: Illustrate your process for collaborating with engineering and product, including documentation for handoff and QA.

📝 Enhancement Note: For a Product Designer role, the portfolio is paramount. It needs to go beyond aesthetics and demonstrate a deep understanding of process, user workflows, and the ability to translate complex operational needs into usable interfaces. Candidates should prepare to walk through 1-2 key projects, explaining their role, the problem, their design process (emphasizing user research and iteration), and the impact of their work. Highlighting experience with B2B SaaS and AI-assisted workflows will be particularly valuable.

💵 Compensation & Benefits

Salary Range:

  • Mid-Level: £55,000 - £75,000 GBP per year

  • Senior Level: £75,000 - £90,000 GBP per year

These ranges are dependent on the candidate's experience, demonstrated skill level, and the specific level at which they are hired.

Benefits:

  • Stock Options: Meaningful equity in a growing company.

  • Pension Scheme: A retirement savings plan to support long-term financial security.

  • Unlimited Vacation: Flexible and generous paid time off, empowering employees to manage their work-life balance.

  • Private Healthcare: Comprehensive Bupa Medical and Dental coverage.

  • Life Insurance: Financial protection for employees and their families.

  • Paid Parental Leave: 16 weeks for birth mothers, 4 weeks for partners after one year of service.

  • Hybrid Working: Flexibility with two days per week in the London office.

  • Home Office Allowance: Support for setting up an effective remote workspace.

  • Regular Team Retreats: Opportunities for team building and strategic alignment.

Working Hours: While not explicitly stated, the standard for full-time roles in London is typically 37.5-40 hours per week. The hybrid arrangement allows for some flexibility in structuring the work week.

📝 Enhancement Note: The salary ranges provided are based on the explicit figures in the job description. The benefits are comprehensive, offering standard UK benefits alongside attractive perks like unlimited vacation, stock options, and a home office allowance, indicating a strong focus on employee well-being and long-term commitment. The hybrid model with specific office days is a key detail for candidates considering their work arrangements.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Artificial Intelligence, SaaS) focused on revolutionizing bid and proposal writing. This is a rapidly evolving sector, emphasizing innovation and AI integration.

Company Size: AutogenAI is likely a growing startup or scale-up, indicated by the "room to grow into more strategic ownership" and the competitive salary/equity packages. The company size is not explicitly stated but is implied to be dynamic and expanding.

Founded: The founding date is not provided, but the company's mission suggests it is relatively modern, leveraging current AI advancements.

Team Structure:

  • The Product Design team is integrated within a broader product development function, working closely with Product Management and Engineering.

  • Designers are expected to collaborate across departments including Sales and Customer Success, indicating a GTM-aligned operational structure.

Methodology:

  • AutogenAI emphasizes a fast-paced, action-oriented approach ("Make It Happen," "Act Like Owners").

  • User-centricity is paramount ("Customers, Always"), driving decisions through research and feedback.

  • Continuous learning and innovation are key ("Learn and Invent"), essential for an AI-focused tech company.

  • Transparency and respect form the foundation of internal collaboration ("Build Trust Through Transparency," "Lead With Respect").

Company Website: AutogenAI.com

📝 Enhancement Note: The company culture is defined by strong values that promote ownership, customer focus, innovation, and collaboration. For a designer, this means an environment where ideas are valued, and impact is measurable. For operations professionals, understanding this culture is key to fitting in and driving efficiency through design that aligns with these core principles. The "Act Like Owners" and "Make It Happen" values suggest a proactive, results-driven environment common in high-growth tech companies.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as Mid-Senior, indicating a need for solid foundational skills and the ability to work with a degree of independence. It offers the potential to grow into more strategic ownership, suggesting a career path towards Senior Product Designer, Lead Designer, or potentially influencing product strategy more broadly.

Reporting Structure: The Product Designer will likely report to a Design Lead or Head of Product, working within a cross-functional product team. Collaboration is expected with Product Managers, Engineers, and potentially GTM teams (Sales, Customer Success) for user research and feedback.

Operations Impact: The design of the AI proposal platform directly impacts the efficiency and effectiveness of sales and proposal teams. Strong UX/UI design can lead to faster proposal generation, higher quality submissions, improved win rates, and a better overall customer experience during the sales cycle. This role is crucial for enabling the GTM function through intelligent product design.

Growth Opportunities:

  • Design Specialization: Deepen expertise in AI-assisted design, complex B2B workflows, and user research methodologies.

  • Strategic Influence: Grow into a role with greater strategic input on product direction, roadmap planning, and the overall design vision.

  • Leadership Potential: Develop leadership skills by mentoring junior designers, leading design initiatives, and potentially managing design projects or a small team as the company scales.

  • Cross-Functional Exposure: Gain deeper understanding of Sales, Marketing, and Customer Success operations by collaborating closely with these teams.

📝 Enhancement Note: The role offers significant growth potential, particularly for those interested in the intersection of product design and GTM operations. The opportunity to influence a "category-defining product" and gain "autonomy, ownership" points to a high-impact role where performance can lead to rapid career progression. For operations professionals looking to move into product-adjacent roles, this represents a strong opportunity to leverage their understanding of business processes and user needs.

🌐 Work Environment

Office Type: AutogenAI operates a hybrid work model, requiring employees to be in their London office two days per week. This suggests a modern office environment designed for collaboration, with meeting rooms, shared workspaces, and necessary amenities.

Office Location(s): The primary office is located in London, United Kingdom, facilitating in-person collaboration for hybrid employees. Specific details about office amenities or accessibility would typically be available upon further inquiry.

Workspace Context:

  • Collaborative Hub: The office environment is intended to foster collaboration, team building, and spontaneous interactions between product, engineering, and design teams.

  • Tools & Technology: Employees will have access to standard office technology and potentially specialized design software and hardware required for their roles. The company emphasizes modern design practices, suggesting access to up-to-date tools.

  • Team Interaction: The hybrid model allows for focused individual work (remote) and dedicated collaborative sessions (in-office), promoting a balanced approach.

Work Schedule: A standard full-time work schedule is expected, with flexibility offered through the hybrid arrangement. The emphasis on "Make It Happen" suggests a focus on outcomes rather than strict adherence to hours, within reasonable professional boundaries.

📝 Enhancement Note: The hybrid model is a key aspect of the work environment, balancing the benefits of in-office collaboration with the flexibility of remote work. This setup is common in the tech industry and suits roles that require both focused individual work and team synergy.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A review of your resume and portfolio to assess basic qualifications and alignment with the role.

  • Portfolio Presentation & Discussion: A dedicated session where you present 1-2 key projects from your portfolio. Be prepared to discuss your design process, problem-solving approach, collaboration, and the impact of your work. Focus on complex B2B SaaS or AI-related projects if possible.

  • Design Challenge/Exercise: You may be given a take-home assignment or a live design exercise to assess your problem-solving skills, design thinking, and ability to work under pressure. This could involve critiquing an existing design, proposing solutions for a given problem, or sketching out user flows.

  • Cross-Functional Interviews: Interviews with members of the Product, Engineering, and potentially Sales/Customer Success teams to evaluate collaboration skills, technical understanding, and cultural fit.

  • Hiring Manager/Leadership Interview: A final discussion with the hiring manager or a senior leader to assess overall fit, strategic thinking, and alignment with company values.

Portfolio Review Tips:

  • Curate Wisely: Select 2-3 projects that best showcase your skills in complex B2B SaaS, AI-assisted workflows, and end-to-end design. Prioritize projects demonstrating strong UX thinking and problem-solving over purely visual execution.

  • Tell a Story: For each project, clearly articulate: the problem statement, your role and responsibilities, the design process followed (research, ideation, iteration, testing), key design decisions made and why, and the measurable impact or outcome.

  • Highlight AI & Complexity: If possible, include projects that involved AI, complex multi-step processes, or high-stakes decisions. Explain how you designed for user trust, explainability, and efficiency in these contexts.

  • Showcase Figma Skills: Be ready to discuss your Figma workflow, including how you manage files, utilize components, and create prototypes.

  • Prepare for Questions: Anticipate questions about trade-offs, challenges, how you handle feedback, and how your designs align with business goals.

Challenge Preparation:

  • Understand the Context: If given a take-home challenge, thoroughly research AutogenAI, its product, and its target users.

  • Focus on Process: For any design exercise, emphasize your thought process, how you approach problem-solving, and how you would gather information if this were a real project.

  • Articulate Trade-offs: Be prepared to discuss potential trade-offs between design ideals and business constraints (e.g., time-to-market, technical feasibility).

  • Practice Presentation: Rehearse how you will present your work and explain your rationale concisely and effectively.

📝 Enhancement Note: The interview process is designed to assess not only design skills but also the candidate's ability to collaborate, understand business needs, and contribute to a fast-paced environment. A strong portfolio that highlights experience relevant to AutogenAI's product (B2B SaaS, AI, complex workflows) is essential. Candidates should be prepared to discuss their design process in detail and demonstrate how their work drives business outcomes.

🛠 Tools & Technology Stack

Primary Tools:

  • Figma: The core design tool for wireframing, UI design, prototyping, and collaboration. Proficiency is a must.

  • Prototyping Tools: Beyond Figma's capabilities, familiarity with tools like InVision, Principle, or Axure might be beneficial for more complex interactions.

  • User Research Platforms: Tools such as UserTesting.com, Maze, Lookback, or similar, for conducting usability testing and gathering user feedback remotely.

Analytics & Reporting:

  • Product Analytics Tools: Experience with tools like Amplitude, Mixpanel, or Pendo to understand user behavior, track feature adoption, and measure the impact of design changes.

  • Data Visualization Tools: While not explicitly mentioned, familiarity with tools like Tableau or Looker for understanding data insights that inform design decisions can be advantageous.

CRM & Automation:

  • CRM Systems: Exposure to CRM platforms like Salesforce or HubSpot is beneficial for understanding the B2B sales ecosystem and how the proposal platform integrates into the sales process.

  • Collaboration Tools: Proficiency with tools like Slack, Jira, Confluence, and Notion for team communication, project management, and documentation.

📝 Enhancement Note: The primary tool requirement is Figma. However, understanding the broader tech stack of a SaaS company, including product analytics and CRM, will provide valuable context for a Product Designer aiming to drive operational efficiency through their designs. Familiarity with tools that support user research and feedback loops is also critical.

👥 Team Culture & Values

Operations Values:

  • Customers, Always: Design decisions are rooted in understanding customer needs and ensuring their success and delight, directly impacting GTM effectiveness and client retention.

  • Make It Happen: A bias for action and ownership means designers are empowered to drive initiatives and solve problems proactively, often with minimal oversight.

  • Learn and Invent: A culture of continuous learning and innovation is essential for an AI company, encouraging designers to explore new technologies and methodologies.

  • Act Like Owners: Designers are expected to take responsibility for their work, think beyond their immediate tasks, and contribute to the overall success of the product and company.

  • Turn It Up to 11: A commitment to excellence and pushing boundaries, driving a culture of high performance and continuous improvement in design quality.

  • Lead With Respect: Fosters an inclusive environment where diverse perspectives are valued, and collaboration is built on mutual respect and active listening.

  • Build Trust Through Transparency: Open communication and information sharing are encouraged, creating a collaborative atmosphere where feedback is freely given and received.

Collaboration Style:

  • Cross-functional Integration: Designers work closely with Product Managers and Engineers, participating in agile sprints and integrating design into development cycles.

  • User-Centric Feedback Loops: Regular engagement with customers and internal stakeholders to gather feedback and inform design iterations.

  • Design System as a Shared Language: The design system serves as a central point for collaboration, ensuring consistency and shared understanding across teams.

  • Openness to Iteration: A culture that embraces iterative design and values constructive criticism to refine solutions.

📝 Enhancement Note: The company values are deeply embedded in the operational philosophy. Designers are expected to embody these values, which translates to a proactive, customer-focused, and collaborative approach to their work. Understanding how these values translate into daily tasks will be key for a successful candidate.

⚡ Challenges & Growth Opportunities

Challenges:

  • Designing for AI Explainability & Trust: Creating interfaces that help users understand and trust the AI's outputs and recommendations is a significant design challenge.

  • Balancing Complexity and Simplicity: Translating the intricate workflows of bid and proposal writing, augmented by AI, into simple, intuitive user experiences.

  • Fast-Paced Environment: Adapting to rapid development cycles and evolving product requirements in a growing startup.

  • Cross-Functional Alignment: Ensuring design decisions are well-communicated and aligned with the technical capabilities of engineering and the strategic goals of product and GTM teams.

Learning & Development Opportunities:

  • AI Design Expertise: Gain specialized knowledge in designing for generative AI and human-AI collaboration.

  • Domain Expertise: Develop a deep understanding of the bid and proposal writing process and enterprise sales workflows.

  • Strategic Product Influence: Grow into a role with greater impact on product strategy and roadmap.

  • Design System Growth: Contribute to the evolution of a robust design system in a scaling company.

  • Mentorship: Opportunities for mentorship from senior design or product leaders.

📝 Enhancement Note: This role presents exciting challenges related to cutting-edge AI technology and complex B2B workflows. The growth opportunities are substantial, offering a chance to become an expert in a niche but critical area of product design that directly supports revenue generation.

💡 Interview Preparation

Strategy Questions:

  • "Describe a time you had to design for a complex, multi-step workflow. What were the key challenges, and how did you simplify the user experience?" (Focus on process, problem-solving, and user-centricity.)

  • "How would you approach designing an AI feature that needs to be both powerful and trustworthy for users in a high-stakes business context like proposal writing?" (Assess understanding of AI design principles, trust, and explainability.)

Company & Culture Questions:

  • "What interests you about AutogenAI's mission to revolutionize bid and proposal writing with AI?" (Show genuine interest and understanding of the company's value proposition.)

  • "How do you embody our value of 'Customers, Always' in your design work?" (Connect your past experiences to the company's core values.)

Portfolio Presentation Strategy:

  • Structure: For each project, clearly outline the problem, your specific role, your design process (research, ideation, iteration, testing), key decisions, challenges, and outcomes. Use visuals that clearly communicate your design thinking and UI execution.

  • Focus on Impact: Quantify the impact of your designs whenever possible (e.g., "reduced task completion time by X%", "improved user satisfaction scores by Y%"). If direct metrics are unavailable, articulate the anticipated business value and operational benefits.

  • Explain 'Why': Be prepared to deeply explain the rationale behind your design decisions. What user needs, business goals, or technical constraints informed your choices?

  • AI & Complexity Angle: Emphasize any experience with AI, complex B2B workflows, or high-stakes decision-making. Discuss how you ensured usability, trust, and efficiency in these contexts.

📝 Enhancement Note: Preparation should focus on demonstrating a blend of strong design fundamentals, an understanding of B2B SaaS and AI product challenges, and alignment with AutogenAI's values. The ability to articulate a clear, iterative design process and its business impact will be crucial.

📌 Application Steps

To apply for this Product Designer position:

  • Submit your application through the provided link on Greenhouse.

  • Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your experience with complex B2B SaaS workflows, AI-assisted design, and end-to-end product development. Ensure each project clearly articulates the problem, your process, your role, and the impact.

  • Tailor Your Resume: Highlight experience relevant to SaaS, B2B, AI, user research, and complex workflow design. Use keywords from the job description and emphasize quantifiable achievements.

  • Prepare Your Presentation: Practice walking through your portfolio projects, focusing on storytelling, clear articulation of your design process, and the business impact of your work. Be ready to discuss your Figma proficiency and approach to AI design.

  • Research AutogenAI: Familiarize yourself with AutogenAI's mission, product, target market, and company values. Understand how your design skills can contribute to their goals.

⚠️ 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 must have solid experience in product design for web-based SaaS products, specifically within B2B environments. A strong portfolio demonstrating UX thinking, complex workflow design, and proficiency in Figma is required.