Product Designer - US
π Job Overview
Job Title: Product Designer - US
Company: Ema
Location: San Francisco Bay Area, California, United States
Job Type: FULL_TIME
Category: Product Design / User Experience
Date Posted: May 16, 2026
Experience Level: Mid-Senior Level (5-10 years implied)
Remote Status: Hybrid
π Role Summary
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Design intuitive and visually appealing user interfaces for Ema's Agentic AI platform, focusing on simplifying complex enterprise workflows.
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Develop user flows, wireframes, mockups, and interactive prototypes to conceptualize and iterate on new product initiatives.
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Collaborate closely with cross-functional teams, including engineering, product management, and user research, to translate design concepts into functional features.
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Establish and maintain detailed user-interface patterns and design system specifications to ensure consistent application across all Ema products.
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Utilize data insights, market analysis, and customer feedback to inform design decisions and drive continuous improvement of the product experience.
π Enhancement Note: While the title is "Product Designer," the description heavily emphasizes UX/UI design responsibilities, including user-centered design, prototyping, and design systems. This suggests a role that bridges the gap between user experience strategy and visual interface execution within a product development context. The "US" designation in the title, coupled with San Francisco Bay Area location, implies a primary focus on the US market and potentially a need for candidates familiar with US business practices and user expectations.
π Primary Responsibilities
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Conceptualize and craft user-centered designs for Emaβs Universal AI Employee platform, ensuring an intuitive and efficient user experience for enterprise clients.
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Translate complex business processes and technical capabilities into simple, elegant, and user-friendly interface designs and interactive prototypes.
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Lead the creation of detailed wireframes, user flows, mockups, and high-fidelity prototypes using industry-standard design tools.
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Contribute to and maintain a comprehensive design system, ensuring consistency, scalability, and efficiency in product development.
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Actively participate in user research activities, analyze feedback, and leverage data insights to iterate on designs and validate product concepts.
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Present design solutions and rationale clearly and persuasively to cross-functional teams, stakeholders, and leadership.
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Work collaboratively with engineering teams to ensure the accurate and high-quality implementation of design specifications.
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Continuously research industry trends, best practices, and emerging technologies in AI and enterprise software design to inform and innovate product experiences.
π Enhancement Note: The responsibilities highlight a strong emphasis on simplification of complex processes, a core challenge in enterprise AI solutions. The mention of "Agentic AI platform" and "Universal AI Employee" indicates a need for designers who can think about novel interaction models beyond traditional software interfaces. The requirement to establish and maintain a design system points to a need for a structured and scalable approach to design.
π Skills & Qualifications
Education: Bachelorβs degree in Design, Human-Computer Interaction (HCI), Graphic Design, or a related field.
Experience: 5+ years of professional experience in UX/UI design, product design, or a similar role, with a proven track record of shipping successful digital products.
Required Skills:
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Demonstrated expertise in user-centered design principles and methodologies.
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Proficiency in industry-standard design and prototyping tools such as Figma, Adobe XD, or Sketch.
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Strong ability to create detailed user flows, wireframes, mockups, and interactive prototypes.
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Experience in establishing, maintaining, and utilizing design systems.
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Solid understanding of current web technologies and their implications for design.
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Proven ability to analyze market trends, user data, and customer feedback to inform design decisions.
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Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex design concepts to diverse audiences.
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A strong portfolio showcasing a breadth of UX/UI design work, with a focus on problem-solving and user impact.
Preferred Qualifications:
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Experience designing for enterprise software, SaaS platforms, or AI-driven products.
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Demonstrated experience with shipped work across multiple platforms (web, mobile).
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Experience mentoring junior designers and contributing to design team growth.
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A critical awareness of the implications of design decisions on user-centered design and business objectives.
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Passion for innovation and a proactive approach to learning new design techniques and technologies.
π Enhancement Note: The "5+ years" experience level combined with the need for a strong portfolio and specific tool proficiency suggests a role for a mid-to-senior level designer. The emphasis on shipping work and experience with enterprise/AI products indicates a preference for candidates who can deliver tangible results in complex technical environments.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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A curated selection of 3-5 case studies that demonstrate a deep understanding of the product design process from problem definition to final solution.
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Each case study should clearly articulate the user problem, design challenges, your role and contributions, the design process followed, and the final outcomes or impact.
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Showcase your ability to simplify complex problems, with specific examples of how you translated intricate workflows into intuitive user interfaces.
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Include visual examples of user flows, wireframes, high-fidelity mockups, and interactive prototypes.
Process Documentation:
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For each case study, detail the research methodologies employed (e.g., user interviews, surveys, competitive analysis, data analysis).
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Clearly outline the iterative design process, including concept development, prototyping, user testing, and refinement stages.
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Provide examples of how you've collaborated with engineering, product management, and other stakeholders throughout the design lifecycle.
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Highlight instances where data insights or technical constraints influenced your design decisions.
π Enhancement Note: For a Product Designer role, the portfolio is paramount. The emphasis on process and systems implies that Ema is looking for designers who are not just visually skilled but also methodical, data-informed, and collaborative. They want to see evidence of how you approach complex problems and deliver user-centric solutions within a product development framework.
π΅ Compensation & Benefits
Salary Range:
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Estimated Range: $120,000 - $180,000 annually.
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Methodology: This estimate is based on industry benchmarks for Product Designers with 5-10 years of experience in the San Francisco Bay Area, a high-cost-of-living region known for its competitive tech salaries. Factors considered include the company's Series A funding status (implied by prominent investors), the focus on AI technology, and the hybrid work model. Specific compensation will be determined by factors such as location, level, job-related knowledge, skills, and experience.
Benefits:
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Variable Compensation: Potential for performance-based bonuses.
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Equity: Opportunity to receive stock options or grants in a growing startup.
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Comprehensive Health Insurance: Medical, dental, and vision coverage.
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Retirement Savings Plan: 401(k) or similar, potentially with company matching.
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Paid Time Off: Generous vacation, sick leave, and holidays.
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Professional Development: Opportunities for training, conferences, and skill enhancement.
Working Hours:
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Standard full-time commitment, typically around 40 hours per week.
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While core hours will likely exist for collaboration, Ema offers a hybrid work environment, suggesting flexibility in daily schedules to accommodate personal needs and optimize productivity.
π Enhancement Note: Given the company's backing and location, a competitive salary and startup-oriented benefits package (equity, variable compensation) are expected. The salary range is a broad estimate for a role of this nature in the specified region and experience level.
π― Team & Company Context
π’ Company Culture
Industry: Artificial Intelligence (AI), Enterprise Software, SaaS. Ema is at the forefront of "Agentic AI" and aims to revolutionize enterprise productivity by deploying AI employees. This positions them in a high-growth, innovative, and competitive sector.
Company Size: The description implies a growing startup, likely in the range of 50-200 employees, given its backing by prominent investors and multiple office locations (Silicon Valley, London, Bangalore, Vancouver). This size suggests a dynamic, agile environment where individual contributions have significant impact.
Founded: Ema was founded by former executives from Google, Coinbase, Flipkart, and Okta, indicating a leadership team with deep experience in scaling technology companies and product development. The company is actively building its team and product.
Team Structure:
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The Product Design team likely operates within a Product department, collaborating closely with User Research, Product Management, and Engineering teams.
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Designers are expected to work cross-functionally, contributing to product strategy and execution from concept through launch.
Methodology:
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Data-driven design: Utilizing market analysis, user data, and customer feedback to inform design decisions.
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User-centered approach: Prioritizing the needs and experience of enterprise users in all design outputs.
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Agile development: Working in iterative cycles, with a focus on rapid prototyping and continuous improvement.
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Design system implementation: Ensuring consistency and efficiency through standardized design components and patterns.
Company Website: https://ema.co/
π Enhancement Note: The company culture is likely to be fast-paced, innovative, and focused on impact. As a startup backed by experienced leaders and investors, Ema is probably characterized by a strong emphasis on execution, learning, and rapid iteration. The hybrid work model suggests a trust-based culture that values flexibility.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a mid-to-senior Product Designer, requiring 5+ years of experience and the ability to work autonomously while also collaborating effectively. The designer will be expected to take ownership of design initiatives and contribute significantly to product strategy.
Reporting Structure: The Product Designer will likely report to a Design Lead or Head of Product. They will work closely with Product Managers and Engineering leads, forming a core product development triad. Direct interaction with founders and senior leadership is also probable in a startup environment.
Operations Impact: The Product Designer will directly influence the usability, adoption, and effectiveness of Ema's AI platform. By simplifying complex workflows and creating intuitive user experiences, they will be instrumental in driving enterprise productivity gains, which is Ema's core value proposition. Their work will directly impact customer satisfaction, user retention, and the overall success of the product in the market.
Growth Opportunities:
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Skill Specialization: Deepen expertise in AI product design, enterprise UX, or design system management.
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Leadership Development: Potential to mentor junior designers, lead design initiatives, or eventually move into a Design Lead or Manager role as the team grows.
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Strategic Contribution: Play a key role in shaping the product roadmap and design vision for Ema's Agentic AI platform.
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Industry Exposure: Gain extensive experience in the rapidly evolving field of AI and its application in enterprise productivity.
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Startup Growth: Benefit from the rapid growth trajectory of a well-funded startup, potentially leading to significant career advancement.
π Enhancement Note: For a Product Designer at a startup like Ema, career growth is often tied to the company's expansion and the individual's ability to take on increasing responsibility. The role offers a chance to be a foundational member of the design team and influence product direction significantly.
π Work Environment
Office Type: Ema offers a hybrid work environment, suggesting a blend of remote work and in-office collaboration. The company has offices in Silicon Valley (likely Mountain View, given the mention of "Mountain View offices"), London, Bangalore, and Vancouver. The San Francisco Bay Area role will likely involve regular attendance at the local office.
Office Location(s): The primary office for this role is likely in the San Francisco Bay Area, potentially in Mountain View, California, as indicated in the job description. This location provides access to a vibrant tech ecosystem.
Workspace Context:
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Collaborative Spaces: The offices are expected to be equipped with collaborative spaces designed to foster teamwork and innovation, facilitating design reviews, brainstorming sessions, and cross-functional meetings.
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Technology & Tools: Employees will have access to the necessary hardware, software, and tools required for product design, including high-performance workstations and licenses for design and prototyping software.
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Team Interaction: The hybrid model encourages intentional in-person collaboration, allowing designers to connect with engineers, product managers, and other team members for focused work sessions and relationship building.
Work Schedule: A standard full-time schedule (approximately 40 hours/week) is expected, with flexibility inherent in the hybrid model. The focus will be on achieving objectives and collaborating effectively, with core hours likely established for team synchronization.
π Enhancement Note: The hybrid model aims to balance the benefits of remote work (flexibility, focus) with the advantages of in-office collaboration (team building, spontaneous ideation). This setup is common in the tech industry and requires strong communication and self-management skills.
π Application & Portfolio Review Process
Interview Process:
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Application & Portfolio Review: Initial screening based on resume and a strong portfolio demonstrating relevant UX/UI design experience.
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Hiring Manager/Recruiter Screen: A brief call to assess initial fit, understand career goals, and discuss the role in more detail.
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Design Challenge/Take-Home Assignment: A practical exercise to evaluate design thinking, problem-solving skills, and ability to apply design principles to a simulated Ema product scenario.
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Portfolio Presentation & Discussion: A deeper dive into 2-3 selected case studies from the portfolio, focusing on process, rationale, collaboration, and impact. This will likely involve presenting to the hiring manager and/or senior design/product team members.
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Cross-Functional Interviews: Meetings with Product Managers, Engineers, and potentially other stakeholders to assess collaboration skills, technical understanding, and cultural fit.
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Final Interview: A conversation with a founder or senior leader to discuss vision, alignment with company values, and overall fit for the organization.
Portfolio Review Tips:
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Focus on Process: Clearly articulate your design process for each case study. Show your thinking, not just the final output.
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Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs. How did your work improve user engagement, conversion rates, task completion times, or customer satisfaction?
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Highlight Collaboration: Showcase instances where you effectively partnered with engineering, product, and research teams.
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Simplify Complexity: Given Ema's focus on simplifying complex enterprise workflows, explicitly demonstrate how you tackled and solved such challenges in your portfolio.
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Tailor to Ema: Research Emaβs product, target audience (enterprise AI), and mission. Frame your case studies to highlight relevant skills and experiences.
Challenge Preparation:
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Understand Ema's Product: Familiarize yourself with Ema's mission, vision, and the concept of "Agentic AI Employees." Consider the unique design challenges of such a platform.
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Think Enterprise UX: Consider the needs of enterprise users β efficiency, data security, integration, scalability, and ease of adoption.
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Focus on Simplification: Practice breaking down complex hypothetical problems into clear, actionable design solutions.
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Be Ready to Justify: Prepare to articulate the "why" behind your design decisions, supported by user-centered principles and data.
π Enhancement Note: The interview process is standard for a design role in a tech company, with a strong emphasis on portfolio quality and a practical design challenge. Candidates should be prepared to demonstrate their entire design process, from research to iteration and final execution.
π Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (primary), Adobe XD, Sketch. Proficiency in at least one is essential, with Figma being the industry leader and highly preferred.
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User Research Tools: Experience with tools for user interviews, surveys, usability testing (e.g., UserTesting.com, Maze, Hotjar).
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Collaboration Tools: Jira, Asana, Trello for project management and task tracking. Slack for team communication.
Analytics & Reporting:
- Familiarity with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and inform design iterations.
CRM & Automation (Indirect Relevance):
- While not a direct tool for designers, understanding how CRMs (like Salesforce) and automation platforms integrate with enterprise software can provide context for user workflows and data flow.
π Enhancement Note: Proficiency in Figma is almost a de facto requirement for modern product design roles. The company's focus on enterprise AI implies that designers should be comfortable with tools that support complex data visualization, workflow management, and potentially integrations with other enterprise systems.
π₯ Team Culture & Values
Operations Values:
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Innovation: A drive to push boundaries and explore new possibilities with Agentic AI.
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User-Centricity: A deep commitment to understanding and solving problems for enterprise users.
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Efficiency: A focus on optimizing workflows and delivering high-impact solutions quickly.
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Collaboration: Valuing teamwork and open communication across disciplines.
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Impact-Driven: A focus on delivering tangible business value and transforming productivity.
Collaboration Style:
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Cross-Functional: Expect close collaboration with Product Management and Engineering, forming a cohesive product development team.
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Iterative & Feedback-Oriented: A culture that encourages frequent feedback loops, design critiques, and iterative improvements.
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Transparent Communication: Open sharing of ideas, progress, and challenges through tools like Slack and in regular team meetings.
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Problem-Solving Focus: A collective approach to tackling complex design and technical challenges.
π Enhancement Note: Ema's culture is likely to be aligned with typical high-growth tech startups: fast-paced, innovative, and results-oriented, with a strong emphasis on collaboration and user impact. The AI focus will likely foster a culture of continuous learning and experimentation.
β‘ Challenges & Growth Opportunities
Challenges:
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Simplifying AI Complexity: Designing intuitive interfaces for advanced AI capabilities like "Agentic AI Employees" presents a unique challenge in making sophisticated technology accessible and understandable to enterprise users.
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Balancing Innovation and Usability: Striking the right balance between introducing cutting-edge AI features and ensuring the platform remains practical, reliable, and easy to use for business operations.
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Evolving AI Landscape: Keeping pace with the rapid advancements in AI technology and translating them into meaningful product improvements.
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Cross-Functional Alignment: Ensuring seamless collaboration and alignment between design, engineering, and product management in a fast-paced startup environment.
Learning & Development Opportunities:
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AI Product Design Specialization: Gaining deep expertise in designing for AI-powered enterprise solutions, a highly in-demand skill.
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Foundational Design Team Member: Opportunity to help shape the design culture, processes, and standards of a growing company.
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Industry Exposure: Working with leading investors and a team from top tech companies provides unparalleled learning and networking opportunities.
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Mentorship: Potential to be mentored by experienced leaders and to mentor junior designers as the team expands.
π Enhancement Note: The primary challenge lies in making advanced AI technology usable for enterprise clients. Growth opportunities are significant due to the company's stage and the cutting-edge nature of its product.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you had to simplify a highly complex process or system for users. What was your approach, and what was the outcome?" (Focus on your process, user research, and quantifiable impact).
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"How do you approach designing for emerging technologies like AI, especially when user mental models are still forming?" (Demonstrate your adaptability, research skills, and user-centric approach).
Company & Culture Questions:
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"What interests you most about Ema's mission to transform enterprise productivity with Agentic AI?" (Show genuine interest and understanding of their value proposition).
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"How do you see your design philosophy aligning with a fast-paced startup environment focused on innovation and impact?" (Emphasize your adaptability, proactivity, and results orientation).
Portfolio Presentation Strategy:
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Tell a Story: Frame each case study as a narrative, beginning with the problem, detailing your journey, and concluding with the solution and its impact.
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Show Your Process: Don't just show final mockups. Include sketches, wireframes, user flows, and research insights to illustrate your thinking.
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Quantify Results: Use metrics and data to demonstrate the success of your designs. If direct metrics aren't available, discuss expected outcomes or user feedback.
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Be Prepared for Questions: Anticipate questions about your design decisions, challenges faced, and alternative solutions considered.
π Enhancement Note: Interviewers will be looking for a blend of strong design fundamentals, a clear process, the ability to simplify complexity, and a collaborative spirit. Demonstrating an understanding of AI and enterprise challenges will be a significant advantage.
π Application Steps
To apply for this Product Designer position:
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Submit your resume and a link to your online portfolio through the provided application link.
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Portfolio Customization: Tailor your portfolio to highlight 2-3 key case studies that best demonstrate your experience in simplifying complex workflows, user-centered design, and working with enterprise-level products or AI technologies. Ensure your contributions are clearly defined.
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Resume Optimization: Review your resume to ensure it clearly outlines your 5+ years of relevant UX/UI design experience, proficiency in design tools (especially Figma), and achievements using action verbs and quantifiable results where possible.
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Company Research: Thoroughly research Ema, its mission, product, and the concept of Agentic AI. Understand their target market (enterprises) and the value proposition they offer.
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Prepare for Design Challenges: Anticipate a take-home design challenge or an in-depth portfolio presentation. Practice articulating your design process and rationale concisely and persuasively.
β οΈ 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 need 5+ years of UX/UI experience with a strong portfolio and proficiency in tools like Figma or Adobe XD. A Bachelor's degree in Design, HCI, or a related field is required.