Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Standard Metrics

Location: US (Remote)

Job Type: Full-Time

Category: Product Design / UX/UI Design

Date Posted: 2026-06-25

Experience Level: 7+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Drive end-to-end product design for complex B2B SaaS workflows, with a strong emphasis on AI-enabled product experiences.

• Leverage AI-assisted design tools and methodologies to enhance user research synthesis, prototyping, and design-to-engineering handoffs.

• Collaborate closely with Product and Engineering to define AI behavior, edge cases, confidence signals, and rollout strategies.

• Contribute to the evolution of design systems and cross-product design strategy, ensuring consistency and scalability.

• Partner with cross-functional teams to identify product roadmap opportunities and make data-informed decisions that impact user experience and business outcomes.

📝 Enhancement Note: This role is specifically focused on Product Design within a B2B SaaS environment, with a significant emphasis on designing AI-enabled features. The "Product Designer" title, combined with the responsibilities around AI behavior, user trust in AI, and collaboration with AI system requirements, strongly suggests a specialization in AI UX Design. The mention of "AI-assisted workflows" and "AI tools to strengthen their design process" further solidifies this focus.

📈 Primary Responsibilities

• Conceptualize, design, and validate user-centered solutions that balance usability, functionality, and technical feasibility for complex B2B SaaS workflows.

• Own the complete user journey from ideation and user research through prototyping, user testing, iteration, and final production-ready designs.

• Utilize user research, rapid prototyping, AI-assisted workflows, and data analytics to identify and implement platform improvements and enhance user experience.

• Design intuitive and trustworthy AI-enabled product experiences that empower users to understand, verify, correct, and confidently act on AI-generated outputs.

• Employ AI-assisted design and prototyping tools to accelerate the design lifecycle, including exploration, research synthesis, iteration, critique, and seamless handoff to engineering.

• Synthesize diverse requirements from design, engineering, product management, business stakeholders, and AI system specifications for complex, cross-functional initiatives.

• Collaborate with Product and Engineering to meticulously define AI behavior, identify edge cases, establish confidence signals, implement feedback loops, set evaluation criteria, and strategize rollout plans.

• Actively seek and incorporate feedback from cross-functional teams and end-users to continuously refine product experiences and optimize workflows.

• Document and expand design systems, ensuring alignment with product-specific needs and providing strategic guidance on cross-product design consistency.

• Partner with Product and Engineering leaders to shape the product roadmap, uncover new opportunities, and drive decisions informed by user impact and business objectives.

📝 Enhancement Note: The responsibilities explicitly mention "AI-enabled product experiences for complex B2B workflows," "understand, verify, correct, and trust AI-generated outputs," and "AI behavior, edge cases, confidence signals, feedback loops, evaluation criteria, and rollout strategy." This indicates a deep involvement in the strategic and tactical aspects of designing AI products, which goes beyond standard UX/UI design and into the realm of AI UX strategy and implementation.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often preferred for senior-level design roles. Candidates with equivalent practical experience and a strong portfolio will also be considered.

Experience: 7+ years of professional experience in Product Design, with a significant portion dedicated to B2B SaaS environments. Experience in fast-paced startup settings is highly valued.

Required Skills:

• 7+ years of Product Design experience within B2B SaaS companies.

• Proven track record of designing and shipping exceptional products, particularly those involving complex workflows.

• Demonstrated fluency and practical application of AI tools within the design process (e.g., for ideation, research synthesis, prototyping, content exploration, design critique, or design-to-code collaboration).

• Strong expertise in AI product UX, with a deep understanding of user needs related to uncertainty, failure states, user correction mechanisms, source transparency, auditability, and responsible handling of sensitive customer data.

• Proficiency in design tools such as Figma.

• Foundational knowledge of front-end technologies (CSS, HTML, React) to facilitate effective collaboration with engineering teams.

• Exceptional ability to distill complex problems into simple, elegant, and effective design solutions.

• Collaborative mindset with a proven history of working effectively across disciplines with multiple stakeholders, including product managers, marketing managers, and engineers. Preferred Skills:

• Experience designing AI-enabled features or products.

• Experience with AI-assisted design and prototyping tools beyond basic AI assistants.

• Familiarity with financial data platforms or FinTech environments.

• Understanding of AI system requirements, including data pipelines, model outputs, and user feedback loops.

• Experience contributing to and maintaining robust design systems.

📝 Enhancement Note: The requirement for "7+ years of experience in Product Design" and a portfolio showing "senior-level product design work for complex workflows, ideally including shipped AI-enabled features" positions this as a senior individual contributor role. The emphasis on AI tools and AI product UX judgment indicates a need for specialized expertise in this emerging area of design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio is mandatory for application.

• Showcase senior-level product design work that demonstrates mastery of complex B2B SaaS workflows.

• Include case studies of shipped AI-enabled features, detailing the problem, your design process, AI integration, user validation, and impact.

• Highlight instances where AI tools were leveraged to enhance the design process itself, explaining the specific tools and their benefits.

• Demonstrate strong judgment around AI product UX, including how you addressed uncertainty, failure states, and user trust.

• Examples of designing for understandability, verification, and correction of AI-generated outputs are crucial. Process Documentation:

• Detail your approach to user research methodologies, including how you gather insights for complex B2B environments.

• Illustrate your rapid prototyping techniques and how you use them for user validation and iteration.

• Showcase your methods for integrating AI-assisted workflows into your design process, explaining how it improves efficiency and quality.

• Provide examples of how you collaborate with engineering and product to define AI behavior, edge cases, and feedback loops.

• Demonstrate your understanding of design system principles and how you contribute to or leverage them for scalable design solutions.

📝 Enhancement Note: The explicit requirement for a portfolio showing "shipped AI-enabled features" and "fluency using AI tools in the design process" makes this section critical. Candidates must be prepared to present detailed case studies that not only showcase their design skills but also their specific experience and strategic thinking in designing with and for AI.

💵 Compensation & Benefits

Salary Range: The estimated annual salary for this role in the USA is between $170,000 - $205,000. This range is benchmarked against top-tier tech hubs like San Francisco and New York City, reflecting the company's commitment to paying at or above market rates. For international roles, compensation will be adjusted to be top of market within the respective country. Actual compensation will be determined by individual experience, qualifications, and location.

Benefits:

• Comprehensive Health Coverage: Full coverage for medical, dental, and vision insurance for employees and their families in the USA. International employees receive coverage that matches local health standards.

• Flexible Vacation Policy: Employees are encouraged to take the time off they need, with most taking 3-4 weeks annually, in addition to standard holidays.

• Paid Parental Leave: 12 weeks of paid leave for all new parents in the USA, with international locations matching local parental leave standards.

• Equity Package: A competitive equity offering is included with the compensation for this role.

• Company Transparency: Full access to business metrics and financial information, fostering an open and informed work environment.

• Regular Offsites: The company organizes recurring offsite events in exciting destinations for the entire team to plan, bond, and innovate, complementing its remote-first approach.

Working Hours: While the specific daily hours are not defined, the role is expected to require a commitment typical of a full-time position, estimated at 40 hours per week. The remote-first nature of the company emphasizes flexibility, allowing for effective management of work within the context of global collaboration and individual productivity.

📝 Enhancement Note: The salary range provided is specific to the US market. For candidates outside the US, salary will be adjusted to local market rates. The benefits listed are extensive and highlight a strong focus on employee well-being, work-life balance, and transparency, which are attractive components for senior-level design professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Standard Metrics operates within the FinTech and AI sectors, specifically focusing on providing an AI-driven financial data platform for investors and portfolio companies. This intersection of finance and advanced AI creates a dynamic and rapidly evolving market landscape.

Company Size: Standard Metrics is a venture-backed startup, implying a dynamic, growth-oriented environment. The company is actively building out its Product Design team, suggesting it is in a growth phase where design plays a pivotal role in shaping the product and user experience.

Founded: Founded with a mission to accelerate innovation in private markets, Standard Metrics is backed by prominent venture capital firms like 8VC and Spark Capital. This backing signifies strong investor confidence and a clear growth trajectory.

Team Structure:

• The Product Design team is central to the product-building process, indicating high visibility and influence.

• Designers will work closely with Product Management and Engineering, suggesting a collaborative, integrated product development approach.

• Collaboration extends across all departments, including potentially Sales, Marketing, and Investor Relations, given the nature of the SaaS platform and its B2B clientele.

• The company is remote-first, requiring robust communication protocols and asynchronous collaboration tools. Methodology:

• Data-Driven Decision Making: Heavy reliance on user research, data insights, and AI-generated outputs to inform design and product strategy.

• Iterative Design & Development: Emphasis on rapid prototyping, user testing, and continuous iteration to refine solutions.

• AI Integration: A core methodology involves leveraging AI in both the product itself (AI-enabled features) and the design process (AI-assisted workflows).

• Cross-Functional Partnership: A strong emphasis on close collaboration with engineering, product, and other business units to ensure holistic product development.

Company Website: https://standardmetrics.io/

📝 Enhancement Note: The company's focus on AI and private markets, combined with its venture backing, suggests a fast-paced, innovative culture. The remote-first nature implies a need for strong self-discipline, excellent communication skills, and comfort with asynchronous collaboration. The product's B2B SaaS nature means the design focus will be on professional users, complex workflows, and delivering tangible business value.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Senior Product Designer level, requiring 7+ years of experience and the ability to lead end-to-end design processes for complex products. It involves significant autonomy and strategic input, moving beyond purely execution-focused tasks.

Reporting Structure: While not explicitly stated, a Senior Product Designer typically reports to a Head of Product, Design Lead, or Director of Product Design. They will work closely with Product Managers and Engineering leads on a day-to-day basis.

Operations Impact: The Product Designer's impact is central to the success of the Standard Metrics platform. By creating intuitive, AI-enabled user experiences, they directly influence user adoption, retention, satisfaction, and the perceived value of the financial data and AI insights provided. This directly contributes to revenue growth and market positioning.

Growth Opportunities:

• Specialization in AI UX: Deepen expertise in designing for AI, a rapidly growing and high-demand field, potentially leading to lead AI design roles.

• Leadership Track: Progress into a Lead Product Designer or Design Manager role, overseeing a team and influencing design strategy across multiple product areas.

• Product Strategy Influence: Contribute significantly to the product roadmap and strategic direction of the company, leveraging design thinking to identify new market opportunities.

• Cross-Functional Expertise: Gain broad exposure to the FinTech and AI startup ecosystem, building a strong network and understanding of business operations.

📝 Enhancement Note: The role offers significant growth potential, especially for individuals looking to specialize in the cutting-edge field of AI UX Design within the FinTech space. The emphasis on strategic input and end-to-end ownership suggests a path towards leadership or principal-level individual contributor roles.

🌐 Work Environment

Office Type: Standard Metrics operates as a fully remote-first company. This means there is no physical central office, and all collaboration and work are conducted virtually.

Office Location(s): As a remote-first company, employees can work from anywhere within the United States (for this specific listing). International roles are also mentioned, indicating a global distributed workforce. The company does organize "regular offsites" in various exciting destinations to foster team cohesion.

Workspace Context:

• Remote Collaboration Tools: Expect heavy reliance on digital collaboration tools such as Slack, Zoom, Figma, and project management software.

• Asynchronous Communication: A strong emphasis on clear, concise written communication and documentation to facilitate effective collaboration across different time zones.

• Autonomy and Self-Management: The remote-first environment requires individuals to be highly self-motivated, organized, and capable of managing their own time and workload effectively.

• Focus on Output: Success is measured by the quality and impact of work delivered, rather than physical presence or hours worked.

Work Schedule: While the core working hours are not strictly defined, the role is full-time (estimated 40 hours/week). The remote-first nature allows for flexibility in scheduling, provided that critical meetings and collaborations are attended and deadlines are met. Effective time management across different time zones is key.

📝 Enhancement Note: The remote-first nature of Standard Metrics is a defining characteristic of its work environment. Candidates should be comfortable and proficient in remote work dynamics, including asynchronous communication and self-directed work. The offsites provide opportunities for in-person connection, balancing the remote setup.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess experience, skills, and alignment with the role, particularly the AI UX and B2B SaaS requirements.

• Portfolio Presentation & Deep Dive: Expect to present your portfolio, focusing on case studies that highlight your experience with complex B2B SaaS workflows and AI-enabled features. Be prepared to discuss your design process, decision-making, and the impact of your work.

• Cross-Functional Interviews: Interviews with Product Managers, Engineers, and potentially other stakeholders to assess collaboration skills, technical understanding, and cultural fit.

• Design Challenge (Potential): Some companies may include a small design exercise or a take-home challenge, though this is not explicitly stated. If so, it will likely focus on problem-solving within a B2B SaaS context or designing an AI-enabled interaction.

• Final Interview: A discussion with leadership to assess strategic thinking, leadership potential, and overall fit with the company's mission and values.

Portfolio Review Tips:

• Show, Don't Just Tell: For each case study, clearly articulate the problem statement, your role and responsibilities, the design process you followed, key decisions made (especially regarding AI), user testing insights, and the final outcomes/impact.

• Highlight AI: Explicitly showcase how you designed for AI, how you used AI tools, and how you addressed user trust and understanding of AI outputs. Quantify impact where possible.

• Complex Workflows: Emphasize projects that demonstrate your ability to navigate and simplify intricate user journeys and business processes.

• B2B SaaS Focus: Select projects that are relevant to a B2B SaaS environment, showcasing your understanding of professional user needs and business objectives.

• Figma & Collaboration: Be ready to walk through Figma files or discuss your collaborative design workflows.

Challenge Preparation:

• Understand the Product: Thoroughly research Standard Metrics, its AI-driven financial data platform, its target users (investors, portfolio companies), and its competitors.

• AI UX Principles: Refresh your knowledge of best practices for designing AI-enabled products, focusing on transparency, explainability, error handling, and user trust.

• B2B SaaS Challenges: Consider common challenges in B2B SaaS design, such as onboarding complex users, managing large datasets, integrating with existing systems, and driving adoption of advanced features.

• Problem-Solving Framework: Be prepared to articulate a structured approach to solving design problems, combining user research, ideation, prototyping, and validation.

📝 Enhancement Note: The emphasis on AI-enabled features and AI tools within the design process means candidates should prepare to discuss these aspects in detail during their portfolio review and interviews. Demonstrating an understanding of the nuances of AI UX will be critical.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI design, prototyping, and collaboration. Expect to create wireframes, high-fidelity mockups, and interactive prototypes.

• CSS & HTML: Foundational web technologies for understanding front-end implementation and collaborating with engineers.

• React: Familiarity with React is beneficial for understanding the front-end architecture and facilitating design-to-code handoffs.

Analytics & Reporting:

• User Research Tools: Tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Lookback, Maze).

• Data Analytics Platforms: While not explicitly listed as a designer's tool, understanding how to interpret data from platforms like Google Analytics, Mixpanel, or Amplitude will be beneficial for data-informed design decisions.

CRM & Automation:

• Project Management Tools: Tools like Jira, Asana, or Trello for managing design tasks and collaborating with engineering on sprints.

• Collaboration Platforms: Slack for communication, Google Workspace or Microsoft 365 for document sharing and collaboration.

📝 Enhancement Note: Proficiency in Figma is a must. While direct experience with React isn't always required for designers, understanding its principles and how it impacts UI implementation is highly valued for effective collaboration with engineering teams in a SaaS environment. The mention of AI tools suggests the company may be exploring or already using specialized AI design assistants or AI-powered prototyping tools.

👥 Team Culture & Values

Operations Values:

• Optimistic Product Builders: A core value that emphasizes a positive, proactive, and creative approach to building and improving products.

• AI-Driven Innovation: A commitment to leveraging AI to create forward-looking solutions and enhance decision-making for users.

• User-Centricity: A deep focus on understanding and serving the needs of investors and portfolio companies, ensuring delightful usability and functional design.

• Collaboration & Transparency: Encouraging open communication, cross-functional teamwork, and sharing of business metrics and financial information.

• Efficiency & Speed: Operating in a fast-paced startup environment requires the ability to ship exceptional products quickly and iterate effectively.

Collaboration Style:

• Cross-Functional Integration: Designers are embedded within product teams, working hand-in-hand with Product Managers and Engineers to define strategy and execute on features.

• Feedback-Rich Environment: Actively soliciting and incorporating feedback from users and internal teams is a cornerstone of the design process.

• Shared Ownership: A culture where all team members feel a sense of ownership over the product's success and are encouraged to contribute ideas.

• Remote-First Synergy: Building strong working relationships and effective collaboration strategies despite being a distributed team.

📝 Enhancement Note: The company's values suggest a culture that is innovative, collaborative, and focused on impact. Candidates who thrive in environments that blend cutting-edge technology (AI) with a strong user focus and a fast-paced startup ethos will be a good fit.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Trust: A primary challenge will be designing interfaces and experiences that build user trust in AI-generated outputs, address uncertainty, and provide mechanisms for verification and correction.

• Complexity of Financial Data: Translating complex financial data and insights into simple, understandable, and actionable designs for sophisticated users.

• Balancing Innovation with Usability: Integrating novel AI features while ensuring the platform remains intuitive and easy to use for B2B professionals.

• Pace of a Startup: Adapting to rapid development cycles, shifting priorities, and the need to deliver high-quality work under tight deadlines.

• Remote Collaboration Dynamics: Mastering asynchronous communication and maintaining strong connections with a distributed team.

Learning & Development Opportunities:

• AI UX Specialization: Gain deep expertise in a highly sought-after field, becoming a go-to person for AI-driven product design.

• FinTech & Private Markets Insights: Develop a strong understanding of the financial technology sector and the unique needs of investors and private companies.

• Product Strategy Involvement: Contribute to high-level product decisions and roadmap planning, expanding strategic thinking capabilities.

• Design System Expansion: Play a key role in growing and refining the company's design system to support new AI features and product growth.

📝 Enhancement Note: The challenges presented are directly tied to the company's core focus on AI and financial data. Successfully navigating these challenges offers significant opportunities for professional growth and specialization.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex B2B workflow you've designed. What were the key challenges, and how did your design address them?" (Focus on process, problem-solving, and user impact).

• "How would you approach designing an AI feature that provides financial forecasts to investors? What are the critical considerations for user trust and transparency?" (Test AI UX judgment and strategic thinking).

• "Walk me through how you would use AI tools to enhance your design process for a new feature. What specific tools and methodologies would you employ?" (Assess practical AI tool application).

• "How do you balance the need for rapid iteration in a startup with ensuring the quality and robustness of your designs, especially for AI-driven features?" (Evaluate adaptability and process management). Company & Culture Questions:

• "What interests you most about Standard Metrics and our mission in the private markets?" (Assess motivation and research).

• "How do you approach collaboration with Product Managers and Engineers, particularly when dealing with complex technical requirements or AI system constraints?" (Evaluate teamwork and communication).

• "Describe a time you had to advocate for a design decision that was met with resistance. How did you handle it?" (Assess influence and negotiation skills).

• "What are your thoughts on the future of AI in product design, and how do you stay current with trends in this space?" (Gauge forward-thinking and continuous learning). Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, follow a clear story arc: Problem -> Your Role -> Process -> Solution -> Impact.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., increased user adoption, reduced error rates, improved task completion time).

• Focus on AI Specifics: For AI-related projects, explicitly detail how you addressed AI-specific challenges like uncertainty, explainability, user feedback loops, and trust-building.

• Showcase AI Tool Usage: If you used AI tools in your process, clearly articulate which tools, how you used them, and the tangible benefits they provided (e.g., faster research synthesis, accelerated prototyping).

• Engage Your Audience: Be prepared to answer questions thoroughly and engage in a discussion about your design choices and the challenges you faced.

📝 Enhancement Note: Candidates should prepare to speak extensively about their experience with AI, both as a tool in their design process and as a feature within products. Demonstrating a nuanced understanding of AI UX principles will be crucial during the interview process.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Greenhouse.

• Portfolio Customization: Tailor your portfolio to highlight your most relevant B2B SaaS and AI-enabled design projects. Ensure case studies clearly articulate your role, process, and the impact of your work, especially concerning AI features and the use of AI tools.

• Resume Optimization: Update your resume to emphasize your 7+ years of experience in Product Design, with specific keywords related to B2B SaaS, AI UX Design, Figma, user research, prototyping, and cross-functional collaboration. Quantify achievements where possible.

• Interview Preparation: Practice presenting your portfolio and articulating your design process, focusing on how you approach complex problems and integrate AI. Prepare thoughtful questions for the interviewers about the team, product roadmap, and AI strategy.

• Company Research: Thoroughly research Standard Metrics, its AI-driven financial data platform, its competitors, and its market position. Understand their mission and values to articulate your alignment during the interview.

⚠️ 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.