Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Growth Signals

Location: Hybrid (Boston, Massachusetts, US) / Remote (United States)

Job Type: Full-time

Category: Product Design / UX/UI

Date Posted: September 9, 2026

Experience Level: 5-10 Years

🚀 Role Summary

• Design and own end-to-end product experiences for an enterprise AI platform, focusing on intuitive, trusted, and outcome-driven interactions.

• Translate complex enterprise customer needs and business objectives into clear, usable, and scalable AI product solutions.

• Collaborate closely with Product Management, Engineering, AI/ML, and Customer Success teams to define, prototype, validate, and launch innovative features.

• Champion responsible AI practices by ensuring transparency, explainability, and user control within AI-powered capabilities.

• Drive product strategy by leveraging customer insights, usage data, and business goals to inform product direction and improve adoption, retention, and customer value.

📝 Enhancement Note: This role is positioned as a senior Product Designer, emphasizing ownership, strategic thinking, and a deep understanding of AI's practical application in enterprise settings. The "Product person with deep UI/UX craft" description highlights the need for a candidate who can bridge the gap between user experience and business outcomes.

📈 Primary Responsibilities

• Own the entire product design lifecycle from discovery and problem definition through to launch and post-launch iteration, including user flows, wireframes, prototypes, high-fidelity designs, and validation.

• Partner with Product Management to define product requirements, prioritize user problems, and make informed trade-offs that align design decisions with measurable product outcomes.

• Act as a directly responsible owner for design initiatives, driving clarity, momentum, and decision-making across cross-functional teams.

• Design AI-native workflows, interfaces, and interaction patterns that make advanced AI capabilities approachable, useful, and trustworthy for enterprise users.

• Create experiences that clearly communicate AI recommendations, system behavior, model limitations, confidence levels, uncertainty, and user control mechanisms.

• Conduct user research, discovery interviews, and usability testing with enterprise users and internal stakeholders to gather critical insights.

• Design end-to-end user journeys, information architecture, interaction models, dashboards, and data-heavy workflows.

• Develop and maintain reusable design patterns and contribute to a design system to enhance consistency and development speed.

• Collaborate closely with engineers to ensure technical feasibility, clear specifications, and high-fidelity implementation of designs.

• Partner with customer-facing teams to understand enterprise use cases, onboarding challenges, and adoption barriers.

• Communicate design rationale, user insights, trade-offs, and recommendations clearly to both technical and non-technical audiences.

• Support responsible AI principles by considering transparency, explainability, data sensitivity, bias mitigation, privacy, security, and enterprise risk.

• Design effective feedback loops that enable users to refine, correct, and improve AI-generated outputs, thereby enhancing product quality over time.

📝 Enhancement Note: The responsibilities clearly indicate a senior-level role with significant ownership and strategic input. The emphasis on "AI Product Experience and Responsible Design" suggests a specialized focus beyond traditional UI/UX, requiring an understanding of AI's unique design challenges and ethical considerations.

🎓 Skills & Qualifications

Education: [Specific degree requirements not mentioned, but a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is typically expected for this experience level.]

Experience:

• 5+ years of experience in product design, UX design, interaction design, or a closely related field.

• Preference for experience within B2B SaaS, enterprise software, AI products, or complex workflow platforms.

• Experience in an early-stage, high-growth, or "zero-to-one" product environment is a plus.

• Experience supporting enterprise customers, regulated environments, secure SaaS platforms, or products with high trust and compliance expectations is beneficial. Required Skills:

• Strong portfolio demonstrating end-to-end product design ownership, including research, UX strategy, interaction design, visual design, prototyping, validation, and shipped product impact.

• Deep understanding of UI/UX principles, information architecture, usability, human-centered design, accessibility, and design systems.

• Demonstrated ability to translate ambiguous customer problems into clear product experiences and practical design solutions.

• Experience designing complex workflows, dashboards, data-rich interfaces, or enterprise tools used by multiple user types.

• Strong product judgment, business orientation, and ability to connect design decisions to customer outcomes, adoption, efficiency, trust, and measurable value.

• Excellent collaboration and communication skills with product managers, engineers, AI/ML teams, executives, and customers.

• Proficiency with modern design and prototyping tools such as Figma or comparable platforms. Preferred Skills:

• Experience designing AI, machine learning, LLM, generative AI, agentic workflows, conversational interfaces, or intelligent automation experiences.

• Familiarity with responsible AI design principles, model evaluation concepts, prompt-based workflows, human-in-the-loop systems, or enterprise AI governance considerations.

• Comfort rapidly prototyping with AI-enabled tools, low-code/no-code platforms, front-end concepts, or collaborative engineering workflows.

📝 Enhancement Note: The emphasis on a "strong portfolio" is critical. Candidates should prepare to showcase projects that highlight their end-to-end ownership, problem-solving skills, and direct impact on product outcomes, especially those involving complex enterprise workflows or AI.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design ownership, from initial problem definition and user research to final shipped product and its impact.

• Include case studies demonstrating how you translated complex enterprise customer needs and business objectives into intuitive AI product experiences.

• Highlight your contributions to defining workflows, information architecture, interaction models, and high-fidelity visual interfaces.

• Demonstrate your ability to conduct and leverage user research, discovery interviews, and usability testing.

• Present examples of how you have balanced user needs, business priorities, technical constraints, and enterprise usability expectations.

• Illustrate your understanding and application of design systems and reusable design patterns.

• Clearly articulate your role and impact within cross-functional teams, including collaboration with Product Management, Engineering, and AI/ML teams.

• Provide evidence of how your design decisions connect to measurable product outcomes such as adoption, retention, efficiency, and trust. Process Documentation:

• Detail your approach to user research and discovery, including methodologies used and how insights were synthesized.

• Explain your process for translating complex requirements into user flows, wireframes, and prototypes.

• Describe your methods for validating designs through usability testing and gathering feedback.

• Illustrate how you collaborate with engineering and product teams during the development lifecycle.

• Show examples of how you have contributed to or maintained design systems and documentation.

📝 Enhancement Note: The portfolio requirements are geared towards demonstrating a holistic design process and tangible impact, particularly relevant for an AI product. Candidates should focus on showcasing their strategic thinking, problem-solving capabilities, and ability to deliver user-centered solutions in a complex enterprise context.

💵 Compensation & Benefits

Salary Range: For a Product Designer with 5-10 years of experience in Boston, MA, the estimated salary range is typically between $130,000 and $180,000 annually. This estimate is based on industry benchmarks for senior design roles in major tech hubs, considering the company's focus on enterprise AI and B2B SaaS.

Benefits:

• Full-time salaried position with competitive compensation.

• Comprehensive health, dental, and vision insurance.

• Paid time off (PTO) and holidays.

• Opportunities for professional development and continuous learning.

• Potential for equity or stock options in a high-growth company.

• Flexible work arrangements (hybrid/remote options).

Working Hours: The role is expected to require approximately 40 hours per week. Flexibility may be needed to support high-priority product launches, customer needs, and fast-moving business priorities, which is common in high-growth environments.

📝 Enhancement Note: Salary is estimated based on the provided experience level (5-10 years), location (Boston, MA), and industry (Enterprise AI/B2B SaaS). The remote option for the US broadens the potential talent pool but may influence compensation depending on the candidate's specific location within the US.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focusing on Enterprise AI platforms. This industry is characterized by rapid innovation, a strong emphasis on data-driven decision-making, and the integration of advanced machine learning capabilities into business solutions.

Company Size: [Company size not explicitly stated, but the description suggests a potentially fast-growing, possibly early-stage or scale-up company ("high-growth," "zero-to-one product environment"). This implies a dynamic, agile, and potentially less bureaucratic environment.]

Founded: [Company founding date not provided. However, the focus on enterprise AI suggests a modern company likely founded in the last decade or so.]

Team Structure:

• The Product Designer will be part of a collaborative product development environment.

• They will work closely with Product Management, Engineering, AI/ML specialists, and Customer Success teams.

• The role implies a flat or matrixed organizational structure where cross-functional collaboration is key.

• Interactions with enterprise customers and internal stakeholders will be frequent. Methodology:

• Emphasis on human-centered design principles and customer discovery.

• Data-driven decision-making, using customer insights and usage data to inform product direction.

• Agile development methodologies are likely employed, requiring flexibility and rapid iteration.

• Focus on responsible AI practices, integrating ethical considerations into the design process.

• Ownership and accountability are core to the team's approach.

Company Website: growthsignals.com

📝 Enhancement Note: The "enterprise AI platform" focus is critical. Candidates should research Growth Signals to understand their specific market niche, target customers, and competitive landscape within the AI space.

📈 Career & Growth Analysis

Operations Career Level: This role is for a Senior Product Designer. It demands end-to-end ownership of design initiatives, strategic input into product development, and the ability to guide complex design challenges, particularly within the AI domain. The expectation is for a candidate who can operate autonomously and influence product direction.

Reporting Structure: While not explicitly stated, a Senior Product Designer typically reports to a Head of Design, Director of Product, or a Product Lead. They will work closely with Product Managers and Engineering Leads, forming a core product team.

Operations Impact: The Product Designer's impact is measured by their ability to create product experiences that directly contribute to customer success, adoption, efficiency, and trust in the AI platform. Their designs will influence how enterprise users leverage AI, driving measurable business value and competitive advantage for Growth Signals' clients.

Growth Opportunities:

• Specialization: Deepen expertise in AI product design, responsible AI, and complex enterprise workflow optimization.

• Leadership: Potential to grow into a Lead Product Designer role, mentoring junior designers and shaping design strategy for larger product areas.

• Product Strategy: Increased involvement in product strategy, roadmap planning, and market analysis.

• Skill Development: Opportunity to work with cutting-edge AI technologies and contribute to a rapidly evolving product.

📝 Enhancement Note: The "high-growth" and "zero-to-one" context suggests that career paths might be less defined but offer significant opportunities for impact and rapid advancement for individuals who can drive results.

🌐 Work Environment

Office Type: The role offers a hybrid work arrangement in Boston, MA, or can be fully remote within the United States. This provides flexibility for employees to choose their preferred work setting.

Office Location(s): Boston, Massachusetts, US. For remote employees, work is conducted from their chosen location within the United States.

Workspace Context:

• Collaborative Environment: The role emphasizes close collaboration with cross-functional teams (Product, Engineering, AI/ML, Customer Success) through meetings, design reviews, and research sessions.

• Tools & Technology: Access to modern design and prototyping tools (e.g., Figma) is expected. The company likely utilizes collaboration platforms and project management tools common in tech environments.

• Team Interaction: Regular interaction with internal teams and enterprise customers is a key aspect of the role, fostering a connected and communicative work environment.

Work Schedule: The standard work schedule is approximately 40 hours per week. Flexibility is expected to accommodate business needs, such as supporting product launches or addressing urgent customer requirements, which is typical in fast-paced tech companies.

📝 Enhancement Note: The hybrid/remote options are significant benefits. Candidates should consider how they best thrive in either environment and how they will maintain strong collaboration and communication across distributed teams.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on experience and portfolio relevance.

2. Portfolio Review & Interview: You will likely present your portfolio, discussing key projects that demonstrate your end-to-end design process, product thinking, and impact. This stage assesses your design craft, strategic approach, and communication skills.

3. Cross-Functional Interviews: Interviews with Product Managers, Engineering Leads, and potentially AI/ML specialists. These will focus on your ability to collaborate, understand technical constraints, and contribute to product strategy. Expect discussions around problem-solving, trade-offs, and how you approach complex challenges.

4. Design Challenge (Potential): You may be given a small design exercise or asked to elaborate on a hypothetical AI product design problem to assess your on-the-spot thinking and design methodology.

5. Final Interview: Likely with a senior leader (e.g., Head of Product, CEO) to assess cultural fit, strategic alignment, and overall suitability for the role and company.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest projects that best showcase end-to-end ownership, product thinking, and impact, especially those related to enterprise software, complex workflows, or AI.

• Tell a Story: For each case study, clearly articulate the problem, your role, the process you followed (research, ideation, design, validation), the challenges you faced, the decisions you made, and the quantifiable outcomes or learnings.

• Highlight AI & Enterprise Context: Emphasize any experience with AI, machine learning, or designing for enterprise users. Detail how you addressed complexity, trust, explainability, and business value.

• Showcase Process: Clearly document your design process, including research methods, user flows, wireframes, prototypes, and how you iterated based on feedback.

• Visuals are Key: Use high-quality visuals (mockups, prototypes, user journey maps) to illustrate your work.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs (e.g., improved adoption rates, increased efficiency, positive user feedback).

Challenge Preparation:

• Understand the AI Context: Familiarize yourself with common AI product design challenges, responsible AI principles, and how AI capabilities are integrated into enterprise workflows.

• Practice Problem Decomposition: Be ready to break down ambiguous problems into smaller, manageable parts, identifying key user needs and business goals.

• Articulate Trade-offs: Think about the potential trade-offs between user experience, technical feasibility, business objectives, and AI limitations.

• Focus on User Value: Ensure your solutions are always grounded in delivering tangible value to the enterprise user.

📝 Enhancement Note: The interview process is comprehensive, emphasizing not just design skills but also strategic thinking, collaboration, and an understanding of AI's unique challenges. A well-prepared portfolio that clearly articulates impact and process is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (required), or comparable platforms like Sketch, Adobe XD.

• User Research & Testing: Tools like UserTesting.com, Lookback, Maze, or internal methods for conducting research and validation.

• Collaboration & Communication: Slack, Microsoft Teams, Zoom, Google Workspace.

• Project Management: Jira, Asana, Trello, or similar tools for tracking design tasks and sprints.

Analytics & Reporting:

• While not directly a designer's tool, understanding product analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) is beneficial for informing design decisions based on user behavior.

• Familiarity with dashboarding tools for reviewing product performance metrics. CRM & Automation:

• Understanding of CRM principles (e.g., Salesforce) and how design impacts user adoption within these systems can be advantageous, especially for enterprise software.

• Familiarity with workflow automation concepts relevant to enterprise processes.

📝 Enhancement Note: Proficiency in Figma is explicitly required. Candidates should be prepared to discuss their experience with these tools and how they leverage them to create effective user experiences and facilitate collaboration.

👥 Team Culture & Values

Operations Values:

• Product Thinking & Ownership: A strong sense of responsibility for the product's success, treating design as integral to product strategy, not just execution.

• Customer Empathy: Deep understanding and focus on enterprise customer needs, workflows, and business objectives.

• Responsible AI: Commitment to designing AI systems that are transparent, explainable, trustworthy, and ethical.

• Collaboration & Communication: Openness to working closely with cross-functional teams, sharing insights, and aligning on product direction.

• High-Quality Craft: Dedication to producing polished, intuitive, and effective user interfaces and experiences.

• Agility & Adaptability: Comfort in fast-paced, ambiguous environments, with a willingness to iterate and adapt quickly.

• Data-Informed Decisions: Using user data, research findings, and business metrics to guide design choices.

Collaboration Style:

• Cross-functional Integration: The role requires seamless collaboration with Product Managers, Engineers, and AI/ML experts, involving frequent communication and joint problem-solving.

• User-Centric Approach: A shared commitment to understanding and serving the enterprise customer through continuous research and feedback.

• Iterative Design: A culture that embraces prototyping, testing, and refining designs based on feedback to achieve optimal outcomes.

• Transparency: Open sharing of design rationale, research findings, and potential trade-offs with all stakeholders.

📝 Enhancement Note: The emphasis on "Responsible AI" and "Product Ownership" are key cultural indicators. Candidates should align their values and working style with these principles.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate enterprise workflows and advanced AI capabilities into simple, intuitive user experiences.

• Building Trust in AI: Designing interfaces that clearly communicate AI's function, limitations, and ensure user confidence and control.

• Navigating Ambiguity: Operating effectively in a fast-paced, high-growth environment where priorities can shift and requirements may evolve.

• Cross-Functional Alignment: Ensuring consistent understanding and buy-in from diverse teams (Product, Engineering, AI/ML, Sales, Customer Success) on design decisions.

• Balancing User Needs vs. Business Goals: Making informed trade-offs that satisfy both user requirements and strategic business objectives.

Learning & Development Opportunities:

• AI Specialization: Gain deep expertise in designing for cutting-edge AI, ML, and LLM technologies.

• Enterprise SaaS Mastery: Develop a sophisticated understanding of enterprise software design patterns and user needs.

• Product Strategy Influence: Contribute significantly to product roadmap and strategic planning.

• Mentorship: Opportunity to mentor junior designers or evolve into a design leadership role.

• Industry Exposure: Work within a dynamic tech startup environment, potentially attending industry conferences or workshops related to AI and design.

📝 Enhancement Note: The challenges presented are common in innovative AI product development. Highlighting how candidates have successfully navigated similar situations in their past roles will be crucial.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate a complex, ambiguous problem into a clear product experience. What was your process, and what was the outcome?" (Focus on problem decomposition, user research, and iterative design.)

• "How do you approach designing for AI, specifically ensuring transparency, explainability, and user trust?" (Highlight your understanding of responsible AI principles and specific design patterns.)

• "Walk us through a project where you had to balance competing priorities from product, engineering, and business stakeholders. How did you achieve alignment?" (Demonstrate collaboration, negotiation, and trade-off decision-making.)

• "Imagine you need to design a feature for an enterprise AI platform that helps users understand why the AI made a specific recommendation. How would you approach this?" (Assess your problem-solving and AI-specific design thinking.) Company & Culture Questions:

• "What interests you specifically about Growth Signals and our focus on enterprise AI?" (Research the company's mission, product, and market position.)

• "How do you envision contributing to a high-ownership, customer-centric culture?" (Align your values with the company's stated values.)

• "Describe your ideal collaboration style with Product Managers and Engineers." (Emphasize communication, shared understanding, and iterative feedback.) Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of your role and the project's goals. Then, detail the problem, your approach, key decisions, challenges, and the final outcomes/impact.

• Highlight Impact: Clearly articulate the measurable results of your design work, focusing on user adoption, efficiency gains, or improved customer satisfaction.

• Showcase Process: Visually represent your design process using artifacts like user flows, wireframes, prototypes, and research insights.

• AI/Enterprise Focus: Emphasize how you addressed the unique challenges of designing for AI and enterprise users.

• Be Ready for Deep Dives: Anticipate detailed questions about your design choices, research methods, and trade-offs made.

📝 Enhancement Note: Preparation should focus on articulating a clear design process, demonstrating strategic thinking, and showcasing experience with complex enterprise products and AI technologies. Quantifiable results and a strong understanding of responsible AI are key differentiators.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on the Growth Signals careers page or ATS.

• Portfolio Customization: Tailor your portfolio to highlight projects that best demonstrate your experience in end-to-end product design, enterprise software, and AI/ML applications. Emphasize case studies that showcase your problem-solving skills, strategic thinking, and measurable impact.

• Resume Optimization: Ensure your resume clearly outlines your 5+ years of experience, highlighting key responsibilities and achievements that align with the job description, particularly in areas like UI/UX design, interaction design, user research, and AI product design. Integrate keywords from the job description naturally.

• Interview Preparation: Practice presenting your portfolio, focusing on articulating your design process, rationale, and the outcomes of your work. Prepare to discuss your experience with Figma and other relevant design tools, as well as your approach to responsible AI design.

• Company Research: Thoroughly research Growth Signals, its enterprise AI platform, target market, and company culture. Understand their mission and how your design expertise can contribute to their success.

⚠️ 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.