Product Designer, San Francisco

📍 Job Overview

Job Title: Product Designer

Company: Profound

Location: San Francisco, California, United States

Job Type: Full-Time

Category: Product Design / GTM Operations Support

Date Posted: February 16, 2026

Experience Level: Mid-Level (3+ years)

Remote Status: On-site

🚀 Role Summary

• This role focuses on the end-to-end design of core product experiences within a rapidly evolving AI technology company.

• The Product Designer will be instrumental in translating strategic objectives and complex problems into intuitive and high-quality user interfaces, particularly for data visualization and content workflow tools.

• This position requires a blend of strong visual design skills, a deep understanding of user-centered design principles, and the ability to collaborate effectively with cross-functional teams including product management, engineering, and data science.

• The role emphasizes rapid iteration, attention to detail in craft, and a proactive, entrepreneurial mindset to drive product innovation and user satisfaction.

📝 Enhancement Note: While this is a Product Designer role, its focus on data visualization, content workflow tools, and direct collaboration with product managers and engineers to define strategy and solve problems positions it as a critical support function for Go-To-Market (GTM) operations. The emphasis on user feedback, iteration, and contributing to design systems directly impacts the usability and effectiveness of tools used by sales, marketing, and customer success teams. Therefore, it's categorized under "Product Design / GTM Operations Support" to highlight its strategic operational relevance.

📈 Primary Responsibilities

• Design core product experiences from initial concept through to launch and iterative improvements, ensuring a seamless user journey.

• Collaborate closely with Product Managers and Engineers to translate product strategy and complex, ambiguous problems into clear, actionable design solutions.

• Rapidly explore and validate design directions using sketches, user flows, interactive prototypes, and high-fidelity mockups.

• Meticulously refine all design elements, including layout, typography, spacing, motion design, and micro-interactions, to achieve a high standard of visual and interactive craft.

• Balance user needs, technical constraints, and business objectives to deliver exceptional product experiences that align with Profound's vision and market demands.

• Leverage user feedback, qualitative insights, and product intuition to continuously enhance and optimize the product over time.

• Contribute to the development and evolution of Profound's design language, systems, and overall product vision, ensuring consistency and scalability.

• Actively participate in design critiques to provide constructive feedback and receive input on ongoing design work, fostering a collaborative design culture.

📝 Enhancement Note: The responsibilities highlight a holistic design process that directly impacts the usability of GTM tools. Owning end-to-end design, collaborating on strategy, and iterating based on user feedback are critical for ensuring that the AI platform's visualization and workflow tools are effective for internal and external users, thereby supporting GTM efficiency and impact.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 3 years of professional experience in digital product design, with a strong preference for experience within a fast-paced startup or product-centric company.

Required Skills:

• Product Design Expertise: Proven ability to design digital products end-to-end, encompassing user research, wireframing, prototyping, and high-fidelity visual design.

• Data Visualization Design: Experience in designing effective and intuitive data visualizations for complex datasets.

• Prototyping Skills: Proficiency in creating interactive prototypes using tools like Figma, or other industry-standard software, to test and communicate design concepts.

• Visual Design & Craftsmanship: A keen eye for detail, with a strong understanding of typography, layout, color theory, and interaction design principles to create polished, high-quality interfaces.

• Collaboration & Communication: Excellent ability to work effectively with product managers, engineers, data scientists, and other stakeholders, articulating design decisions clearly and constructively.

• User-Centered Design: Strong understanding of user needs and the ability to translate user feedback and qualitative insights into actionable design improvements.

• Design Systems Thinking: Experience contributing to or working with design language systems to ensure consistency and scalability across products.

• Problem-Solving Acumen: Ability to approach ambiguous problems with an analytical and creative mindset, developing innovative and practical solutions.

Preferred Skills:

• AI/ML Product Experience: Familiarity or experience designing products within the Artificial Intelligence or Machine Learning space.

• B2B Marketing/SaaS Product Experience: Experience designing for B2B SaaS platforms, particularly in marketing technology or data analytics domains.

• Prototyping in Code: Experience with prototyping directly in code, and familiarity with version control systems like Git and GitHub.

• Figma Proficiency: Deep expertise in Figma, leveraging its advanced features for design and prototyping.

• Familiarity with AI Design Tools: Experience experimenting with emerging AI design tools like v0 or Cursor.

• Entrepreneurial Mindset: A proactive, self-starter attitude with a product-thinking approach to design challenges.

📝 Enhancement Note: The emphasis on "sweating the details," "balancing craft and user needs," and "prototyping directly in code" suggests a hands-on role where the designer is expected to be deeply involved in the execution and implementation phases, potentially blurring lines between design and engineering. This is common in early-stage startups where versatility is highly valued.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Design Case Studies: Showcase 2-3 comprehensive case studies detailing your process from problem identification to final solution, highlighting your role and contributions.

• Problem-Solving Demonstration: Clearly articulate the user problems or business challenges you addressed, your design process, and the rationale behind your key decisions.

• Visual Design Excellence: Present high-fidelity mockups and interactive prototypes that demonstrate a strong command of visual design principles, UI patterns, and interaction design.

• Impact and Iteration: Include examples of how your designs have had a measurable impact on users or business goals, and how you've iterated on designs based on feedback or data.

• System Contribution (Optional but Recommended): If applicable, demonstrate experience with or understanding of design systems, showing how you've ensured consistency or contributed to their evolution.

Process Documentation:

• Workflow Design: Illustrate your process for mapping user journeys, defining information architecture, and creating user flows for complex features.

• Prototyping & Testing: Detail your approach to prototyping for different stages of design (e.g., low-fidelity for concept validation, high-fidelity for usability testing) and how you incorporate user feedback.

• Cross-Functional Collaboration: Provide examples of how you document and communicate design specifications and collaborate with engineering and product teams to ensure accurate implementation.

📝 Enhancement Note: For a role like this, a portfolio is critical. It needs to showcase not just polished final screens but the thinking behind them. The emphasis on "craft" and "execution" means demonstrating attention to detail in spacing, typography, and interaction. The mention of "sketches, flows, prototypes" indicates a need to show the breadth of their process, not just the final output.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Total Compensation: Includes base salary, equity (stock options), and a comprehensive benefits package.

• Health & Wellness: Likely includes medical, dental, and vision insurance.

• Retirement Savings: Potential for a 401(k) plan with company matching.

• Paid Time Off: Generous vacation, sick leave, and paid holidays.

• Professional Development: Opportunities for learning, training, and attending industry events.

• Perks: May include commuter benefits, wellness stipends, team events, and other amenities typical of a San Francisco-based tech company.

Working Hours:

• Standard full-time work, typically around 40 hours per week. As an on-site role in a fast-paced startup, there may be expectations for flexibility and dedication beyond standard hours when project demands require it.

📝 Enhancement Note: The salary range is quite broad, reflecting significant variation based on experience, specific skill set alignment, and negotiation. Candidates within the 3-5 year experience range might target the lower to mid-end of this spectrum, while those with exceptional portfolios or niche experience (e.g., deep data visualization expertise) could command the higher end. The expectation for "shipping fast and often" suggests a dynamic work environment where efficiency and output are key performance indicators.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Software as a Service (SaaS), Data & Analytics. Profound is positioned at the intersection of AI and brand experience, focusing on helping companies manage their AI presence.

Company Size: Profound appears to be an early-stage startup, likely with fewer than 100 employees, given the context of a "fast-moving product company" and the direct involvement of a co-founder in the job description. This implies a highly dynamic, agile, and hands-on work environment.

Founded: The founding date is not explicitly stated, but the company's mission suggests it's a relatively new venture focused on emerging AI trends.

Team Structure:

• Product Team: This role sits within the product organization, working closely with Product Managers and Engineers.

• Design Team: There is a dedicated design function, with regular design critiques indicating a structured approach to design feedback and collaboration. The co-founder's note emphasizes building a "design team renowned for setting a new standard of excellence."

• Cross-functional Collaboration: Expect close partnerships with Engineering (for implementation and technical constraints) and Data Science (for understanding data and user insights). The "blur the lines" mentality suggests deep integration.

Methodology:

• Agile Development: Given the startup environment and emphasis on "shipping fast and often," an agile or iterative product development methodology is highly probable.

• User-Centric Design: The focus on user feedback, qualitative insights, and user needs underscores a commitment to user-centered design principles.

• Data-Informed Decisions: While the role is design-focused, the product's nature (AI, data visualization) implies that data analysis will inform design choices and product strategy.

• Design Systems: The mention of contributing to and evolving "design language, systems" indicates a structured approach to maintaining design consistency and efficiency.

Company Website: https://www.tryprofound.com/

📝 Enhancement Note: The co-founder's message strongly emphasizes the foundational role of design and the ambition to set industry standards. This signals a culture that values design leadership, innovation, and high-quality execution. The "build a design team renowned for setting a new standard" suggests opportunities for designers to shape the future of the product and the company's design practice.

📈 Career & Growth Analysis

Operations Career Level:

Reporting Structure:

Operations Impact:

Growth Opportunities:

• Design Specialization: Deepen expertise in AI product design, data visualization, or design systems.

• Leadership Path: Potential to grow into a Senior Product Designer role, or potentially lead design initiatives as the company scales.

• Cross-Functional Mastery: Develop deeper understanding and collaboration skills with product management and engineering, potentially leading to product strategy involvement.

• Impactful Portfolio Growth: Contribute to a foundational product in the AI space, building a strong portfolio with demonstrable impact.

• Shaping Design Culture: Play a key role in establishing and evolving the design team's practices and standards.

📝 Enhancement Note: The emphasis on "shipping fast and often" and "having deep ownership" suggests that career growth will be tied to tangible contributions and the ability to drive projects to completion. The startup environment often provides accelerated growth opportunities for individuals who consistently deliver high-quality work and demonstrate initiative.

🌐 Work Environment

Office Type: On-site role based in their SoMa, San Francisco office. This suggests a collaborative, in-person work environment designed for rapid iteration and direct interaction.

Office Location(s): SoMa, San Francisco, California. This is a prime tech hub location, offering access to a vibrant ecosystem of talent and resources.

Workspace Context:

• Collaborative Hub: The on-site nature is described as being "designed for builders who thrive on speed, iteration, and meaningful impact," indicating an environment conducive to spontaneous discussions, whiteboarding sessions, and close teamwork.

• Tools & Technology: Access to modern design tools (Figma, prototyping tools) and development workflows (Git, GitHub) is implied. The mention of AI design tools suggests an openness to leveraging cutting-edge technology.

• Team Interaction: Close proximity to product managers, engineers, and potentially other designers will facilitate seamless communication and rapid problem-solving.

Work Schedule:

• Standard full-time, but the startup environment and on-site requirement may encourage flexibility and a commitment to project deadlines, fostering a culture of productivity and shared goals.

📝 Enhancement Note: The "SoMa, SF office" location is a significant factor for many candidates, implying a dynamic urban work setting. The "builders who thrive on speed, iteration, and meaningful impact" phrase suggests a culture that values proactive contribution and tangible results over rigid structures.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a brief call with a recruiter to assess basic qualifications, cultural fit, and interest.

• Portfolio Review & Discussion: A dedicated session with design or product leadership to present your portfolio, discuss your process, and dive deep into case studies. This is where your problem-solving approach and craft will be evaluated.

• Design Challenge/Exercise: Potentially a take-home assignment or a live design exercise focused on a relevant problem, assessing your ability to apply your skills to Profound's domain.

• Cross-Functional Interviews: Meetings with Product Managers and Engineers to evaluate collaboration skills, technical understanding, and ability to translate strategy into design.

• Final Round/Leadership Interview: A chance to meet with founders or senior leadership to discuss overall vision, culture fit, and strategic alignment.

Portfolio Review Tips:

• Tell a Story: Structure your case studies to narrate a clear problem, your process, your decisions, and the outcome.

• Highlight Your Process: Show the breadth of your work—from initial research and sketches to wireframes, prototypes, and final polished designs. Emphasize why you made certain choices.

• Showcase Craftsmanship: Pay close attention to the visual details of your presented work. Ensure high-fidelity mockups are pixel-perfect and interactive prototypes are smooth.

• Quantify Impact: Whenever possible, include metrics or user feedback that demonstrate the positive impact of your designs.

• Tailor to Profound: If possible, include a case study related to data visualization, complex workflows, or B2B SaaS. Highlight your understanding of AI's role in user experience.

• Be Ready for Code Discussions: Given the preference for coding experience, be prepared to discuss your understanding of technical constraints and how you collaborate with engineers.

Challenge Preparation:

• Understand the Domain: Research Profound, their mission, and the AI landscape. Think about the challenges of designing for AI presence management, data visualization, and content workflows.

• Focus on Problem-Solving: For any design challenge, prioritize understanding the core problem before jumping to solutions.

• Demonstrate Iteration: Show how you would approach iteration, incorporating feedback and exploring multiple directions.

• Articulate Your Rationale: Be prepared to clearly explain the reasoning behind every design decision you make, linking it back to user needs and business goals.

📝 Enhancement Note: The emphasis on "craft," "details," and "shipping directly to production" implies that the interview process will heavily scrutinize the quality of execution and the candidate's ability to translate ideas into reality efficiently. Candidates should be prepared to discuss their comfort level with ambiguity and their proactive approach to problem-solving.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma is expected to be the primary tool, given its industry prevalence. Proficiency in creating flows, interactive prototypes, and high-fidelity mockups is essential.

• AI Design Tools: Familiarity with emerging tools like v0 and Cursor is a plus, indicating an openness to leveraging AI in the design process.

• Version Control: Git and GitHub are explicitly mentioned as preferred tools for collaboration and shipping code, suggesting a close integration between design and development workflows.

Analytics & Reporting:

CRM & Automation:

• Understanding the user context for CRM and automation tools might be relevant if Profound's platform integrates with or serves users of such systems, particularly in B2B contexts.

📝 Enhancement Note: The explicit mention of Git/GitHub and experimental AI design tools (v0, Cursor) indicates a modern, forward-thinking tech stack. Designers comfortable with these tools, or eager to learn them, will be highly valued. This suggests a role where designers are expected to be technically adept and integrated into the development pipeline.

👥 Team Culture & Values

Operations Values:

• Excellence in Craft: A deep commitment to high-quality design, attention to detail, and polished execution is paramount, as highlighted by the co-founder.

• User-Centricity: Prioritizing user needs and leveraging feedback to create intuitive and valuable product experiences.

• Entrepreneurial Spirit: A proactive, self-driven approach to problem-solving, taking initiative, and embracing challenges.

• Collaboration & Communication: Openness to feedback, constructive critique, and effective teamwork across disciplines.

• Innovation & Experimentation: Willingness to explore new tools, technologies (especially AI), and ways of working to push product boundaries.

• Impact-Driven: Focus on delivering tangible results and contributing meaningfully to the company's mission and product success.

Collaboration Style:

• Integrated Teams: Expect a highly collaborative environment where designers work hand-in-hand with product managers and engineers, blurring traditional role boundaries.

• Feedback-Rich: Regular design critiques and an open exchange of ideas are integral to the process.

• Iterative & Agile: A dynamic approach to problem-solving and development, characterized by rapid cycles of design, feedback, and implementation.

📝 Enhancement Note: The co-founder's note is a strong indicator of the company's values. The emphasis on "taste, creativity, and thoughtful execution" points to a culture that highly regards design as a strategic differentiator. The ambition to "set a new standard of excellence" suggests a drive for innovation and impact.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining Novel AI Experiences: Designing intuitive and valuable user experiences for emerging AI applications can be challenging due to the novelty of the technology and evolving user expectations.

• Balancing Ambiguity and Execution: Operating in a startup environment means dealing with ambiguity while needing to deliver concrete, high-quality designs rapidly.

• Maintaining High Craft Standards: Ensuring meticulous attention to detail and design quality across a fast-paced development cycle requires discipline and focus.

• Cross-Functional Alignment: Effectively translating complex technical constraints and business goals into user-friendly designs requires strong communication and negotiation skills.

• Evolving Design Systems: Contributing to and scaling design systems in a rapidly growing product requires foresight and adaptability.

Learning & Development Opportunities:

• AI Product Design Expertise: Gain deep experience in a cutting-edge field, becoming an expert in designing for AI-driven products.

• Startup Growth Experience: Learn to operate and thrive in a fast-paced, high-growth startup environment, developing resilience and adaptability.

• Advanced Design Tooling: Experiment with and master new design and AI tools that are shaping the future of product development.

• Strategic Influence: Contribute to product strategy and vision, influencing the direction of a company in a rapidly expanding market.

• Leadership Potential: Grow into senior design roles or lead design initiatives as the company scales.

📝 Enhancement Note: The primary challenge will be navigating the inherent ambiguity of a startup environment while maintaining a high bar for design quality. The growth opportunities are substantial for someone who can thrive in this dynamic setting and contribute significantly to Profound's ambitious goals in the AI space.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to balance competing priorities (user needs, technical constraints, business goals) in a design project. How did you approach it, and what was the outcome?" (Focus on your problem-solving process, trade-offs, and communication.)

• "How do you approach designing for a product that leverages AI, especially when the AI's behavior might be complex or not fully predictable?" (Demonstrate understanding of AI product challenges and user expectations.)

Company & Culture Questions:

• "How do you stay updated on the latest design trends and emerging technologies, particularly in AI?" (Showcase your passion for learning and innovation.)

• "Describe your ideal collaboration style with product managers and engineers. How do you handle disagreements or differing perspectives?" (Emphasize teamwork, communication, and constructive conflict resolution.)

Portfolio Presentation Strategy:

• Select Diverse Case Studies: Choose 2-3 projects that best showcase your end-to-end process, problem-solving skills, and visual design craft. Include one related to data viz or complex workflows if possible.

• Structure Your Narrative: For each case study, clearly define the problem, your role, the constraints, your process (research, ideation, prototyping, testing), key design decisions with rationale, and the final outcome/impact.

• Emphasize Your "Why": Be prepared to articulate the reasoning behind every significant design choice.

• Show, Don't Just Tell: Use visuals (sketches, wireframes, prototypes, final screens) effectively. Ensure your interactive prototypes are polished and demonstrate key interactions.

• Be Ready for Deep Dives: Anticipate questions about specific design decisions, technical considerations, and how you handled challenges. If you have coding experience, be ready to discuss it.

📝 Enhancement Note: The interview process will likely be rigorous, focusing on both design execution and strategic thinking. Candidates should prepare to demonstrate not only their aesthetic sensibility but also their ability to solve complex problems collaboratively and contribute to a rapidly evolving product. The emphasis on "shipping directly to production" means they'll look for candidates who can deliver results efficiently.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Ensure your portfolio prominently features case studies that highlight your end-to-end design process, problem-solving skills, and visual craft. Tailor your selection to showcase relevant experience in data visualization, complex workflows, or B2B SaaS if applicable.

• Resume Optimization: Update your resume to clearly articulate your 3+ years of product design experience, emphasizing achievements and responsibilities related to core product design, user experience, and cross-functional collaboration. Integrate keywords like "Product Design," "Data Visualization," "Prototyping," "Design Systems," and "AI."

• Interview Preparation: Practice articulating your design process and rationale for key decisions. Be ready to discuss your experience with Figma, Git/GitHub, and any exposure to AI design tools. Prepare thoughtful questions for the interviewers about the team, product strategy, and design culture.

• Company Research: Thoroughly research Profound's mission, product offerings, and the AI landscape they operate in. Understand their target audience and the value proposition of their AI presence management solutions.

⚠️ 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.