Staff Product Designer, Go Core

Superhuman
Full-timeโ€ข$232k-330k/year (USD)

๐Ÿ“ Job Overview

Job Title: Staff Product Designer, Go Core

Company: Superhuman

Location: San Francisco, California, United States

Job Type: FULL_TIME

Category: Product Design / AI Product Development

Date Posted: April 14, 2026

Experience Level: 7+ Years Experience

Remote Status: Hybrid

๐Ÿš€ Role Summary

  • Spearhead the end-to-end design of Superhuman's Go AI agent, focusing on user intent expression and agent collaboration across multiple platforms.

  • Define and elevate core chat and agent interaction experiences, ensuring simplicity, clarity, and power across desktop, web, and in-product environments.

  • Innovate AI-native user experiences, clearly communicating agent behavior and fostering user understanding of system actions.

  • Leverage high-fidelity prototyping as a key tool for exploring interaction models, motion, and AI behaviors.

๐Ÿ“ Enhancement Note: The "Go Core" team's focus implies a foundational role in establishing the core interaction patterns and technical underpinnings for Superhuman's AI agent across all its integrations. This Staff Product Designer will be instrumental in defining the "how" of agentic work for millions of users.

๐Ÿ“ˆ Primary Responsibilities

  • Own the complete design lifecycle for the Go AI agent, from conceptualization to polished execution, across standalone and embedded use cases.

  • Develop and refine core chat interfaces and agent interaction paradigms, setting a high standard for user experience and intuitive control.

  • Design AI-native experiences that translate user intent into actionable progress, ensuring transparency in agent actions and decision-making.

  • Create sophisticated, high-fidelity interactive prototypes to effectively communicate complex interaction models, motion design, and AI-driven behaviors.

  • Deliver exceptional design craft, including polished UI, nuanced micro-interactions, and purposeful animations that make advanced AI feel intuitive and responsive.

  • Collaborate closely with Product Management, Engineering, Research, and Content teams to shape product strategy, validate design concepts, and prioritize foundational user experiences.

๐Ÿ“ Enhancement Note: The emphasis on "prototyping as thinking" and delivering "polished interfaces, thoughtful micro-interactions, and animation" suggests a role that requires not just conceptual design but also a deep focus on execution and craft, particularly in bringing complex AI interactions to life in a user-friendly manner.

๐ŸŽ“ Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, HCI, or a related field is typically expected for a Staff level Product Designer.

Experience: 7+ years of product design experience, with a proven ability to lead complex, ambiguous design challenges from inception to launch.

Required Skills:

  • Deep experience in end-to-end product design, with a strong portfolio showcasing ownership of complex projects.

  • Hands-on experience designing AI-native products, particularly those involving natural language processing (NLP) or multi-step automated workflows.

  • Exceptional interaction and visual design skills, demonstrated through a portfolio of work exhibiting excellence in layout, motion design, micro-interactions, and overall polish.

  • Proficiency in using advanced prototyping tools as a primary method for thinking, communication, and interaction exploration.

  • Practical experience prototyping or working with modern AI-assisted design and development tools (e.g., Cursor, Claude Code, Figma Make).

  • A strong, demonstrable curiosity and hands-on engagement with AI as a field, including awareness of current trends and exploration of emerging tools.

  • Demonstrated ability to operate at a Staff level, including strategic influence, direction-setting, and raising the design quality bar across teams.

Preferred Skills:

  • Experience designing for both desktop applications and web-based interfaces.

  • Familiarity with user research methodologies to validate design decisions.

  • Experience with content design and its integration into AI-driven experiences.

  • A background in developing design systems for complex products.

๐Ÿ“ Enhancement Note: The requirement for experience with "Cursor, Claude Code, Figma Make, or similar" strongly indicates a need for candidates who are not just theoretical but practical in their engagement with AI development tools, suggesting that the design process is closely intertwined with the AI's underlying technology.

๐Ÿ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase end-to-end design projects that demonstrate problem-solving for ambiguous, complex challenges.

  • Include specific examples of designing AI-native experiences, highlighting how user intent was translated into agent action and progress.

  • Present case studies that detail your interaction and visual design process, emphasizing your craft in layout, motion, and micro-interactions.

  • Demonstrate proficiency in using prototyping as a thinking tool, with examples of high-fidelity prototypes that explore novel interaction models or AI behaviors.

Process Documentation:

  • Detail your approach to defining core chat and agent interaction experiences, including how you ensure simplicity, clarity, and power.

  • Explain your methodology for making AI agent behavior clear, understandable, and intuitive for users.

  • Illustrate your process for using prototyping to explore and communicate complex AI interactions and motion design.

  • Provide examples of how you've worked with cross-functional partners to pressure-test ideas and focus on foundational user experiences.

๐Ÿ“ Enhancement Note: Given the "Staff" level and the focus on "Go Core," the portfolio should emphasize strategic thinking, complex problem-solving, and the ability to define foundational interaction models for AI agents, rather than just executing on defined features. Demonstrating impact and leadership in design is crucial.

๐Ÿ’ต Compensation & Benefits

Salary Range:

  • Zone 1 (US): $232,000 - $330,000 USD per year.

  • Zone 1 (Canada): While not explicitly stated with a separate range, Canadian locations are considered "Zone 1," implying the USD range is a benchmark, but local market adjustments would apply.

Benefits:

  • Comprehensive Health Care: Medical, dental, vision, mental health, and fertility benefits.

  • Insurance: Disability and life insurance options.

  • Retirement Savings: 401(k) and RRSP matching.

  • Family Support: Paid parental leave.

  • Time Off: 20 days paid time off, 12 paid holidays, 2 floating holidays, and flexible sick time.

  • Generous Stipends: For caregiving, pet care, wellness, home office, and more.

  • Professional Development: Annual budget and opportunities for growth.

Working Hours: Approximately 40 hours per week, with a hybrid work model that balances focus time with in-person collaboration.

๐Ÿ“ Enhancement Note: The salary range is provided based on compensation zones. "Zone 1" includes all Canadian locations and specific US locations. The company uses a market-based approach, so actual pay will depend on factors like location, experience, and skills. The hybrid model suggests expectations for regular office presence for collaboration, likely a few days per week.

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๐Ÿข Company Culture

Industry: AI Productivity Platform / Software / Technology. Superhuman is integrating Grammarly, Coda, Mail, and Go to create a comprehensive AI-native productivity suite.

Company Size: Not explicitly stated, but the integration of Grammarly suggests a significant, scaling organization. The mention of "1 million applications and websites" and "40 million people, 50,000 organizations, and 3,000 educational institutions" indicates a large and impactful user base.

Founded: 2009. This long history provides a foundation for established processes and a deep understanding of user productivity needs, now evolving rapidly with AI.

Team Structure:

  • The "Go Core" team is responsible for the foundational aspects of the Go agent across all surfaces.

  • This role involves close collaboration with Product Management, Engineering, Research, and Content specialists.

Methodology:

  • AI-Native Design: Emphasis on designing experiences that leverage AI proactively and intuitively.

  • Prototyping-Driven Development: Prototypes are treated as integral to the design and thinking process.

  • Cross-Functional Partnership: A strong emphasis on collaborative development to ensure cohesive product strategy and execution.

  • User-Centricity: Focus on understanding user intent and translating it into tangible progress without constant tool-switching.

Company Website: https://superhuman.com/

๐Ÿ“ Enhancement Note: Superhuman's evolution into an AI-native productivity suite, integrating established tools like Grammarly, signals a significant strategic shift. The "Go Core" team is at the heart of this AI integration, making this role critical for the company's future direction and user experience across its entire product ecosystem.

๐Ÿ“ˆ Career & Growth Analysis

Operations Career Level: Staff Product Designer. This level signifies a senior individual contributor role with substantial influence. It requires setting design direction, mentoring others implicitly through example, and tackling the most ambiguous and impactful problems. The role is expected to drive strategic initiatives and elevate design craft across the product.

Reporting Structure: The Staff Product Designer will report into a design leadership role, likely a Head of Design or Design Director, within the Go product area or a broader product design function. They will work closely with Product Managers and Engineering Leads for the Go Core team.

Operations Impact: The "Go" agent is positioned as the "layer that helps people move from intention to execution." This role directly impacts how users feel using Superhuman by making advanced AI behavior intuitive and reliable. Success means significantly reducing "busywork" and enabling users to achieve their goals more effectively across Superhuman's suite of products, thereby driving user engagement, retention, and overall product value.

Growth Opportunities:

  • Strategic Leadership: Opportunity to shape the long-term vision and interaction model for AI agents within a leading productivity platform.

  • Skill Specialization: Deepen expertise in AI-native product design, natural language interaction, and advanced prototyping techniques.

  • Cross-Functional Influence: Gain experience influencing product strategy and roadmaps across multiple product lines (Mail, Docs, etc.).

  • Mentorship: Implicit opportunity to mentor junior designers through design reviews and collaborative problem-solving.

  • Career Advancement: Potential to move into Principal Designer roles, design leadership, or specialized AI product strategy roles.

๐Ÿ“ Enhancement Note: A Staff Product Designer role at a company like Superhuman, especially on a core AI initiative, offers significant leverage. The growth path isn't just about more complex projects but also about increasing strategic impact and shaping the future of AI-driven productivity tools.

๐ŸŒ Work Environment

Office Type: Hybrid. This model combines remote work for focus with in-office collaboration to foster trust, innovation, and team culture.

Office Location(s): San Francisco, California, United States. The company's hybrid model implies proximity to a physical office in this area is necessary for in-person collaboration days.

Workspace Context:

  • Collaborative Environment: The hybrid model is designed to facilitate in-person collaboration, suggesting opportunities for spontaneous brainstorming, team building, and direct interaction with colleagues.

  • Tools & Technology: Access to modern design and AI development tools is implied, including Figma, and potentially specialized AI prototyping tools like Cursor or Claude Code.

  • Team Interaction: Regular opportunities to engage with product managers, engineers, researchers, and content strategists, fostering a multidisciplinary approach to problem-solving.

Work Schedule: A standard full-time schedule (approx. 40 hours/week) is expected, with the hybrid model allowing for flexibility in how and where work is done, balanced with required in-office days for collaboration.

๐Ÿ“ Enhancement Note: The hybrid model is explicitly framed as a way to achieve "plenty of focus time along with in-person collaboration." This suggests that successful candidates must be comfortable and effective in both independent remote work and structured in-office teamwork.

๐Ÿ“„ Application & Portfolio Review Process

Interview Process: (Inferred based on industry standards for Staff-level design roles)

  • Initial Screening: A brief call with a recruiter to assess basic qualifications, role understanding, and cultural fit.

  • Portfolio Review & Design Deep Dive: A session with design leadership and/or senior designers to review your portfolio, focusing on your process, problem-solving approach, and design craft for complex projects. This will likely include discussions on AI-native design and prototyping.

  • Cross-Functional Collaboration Interview: Discussion with Product Managers and Engineering Leads to assess your ability to collaborate, influence strategy, and work effectively within a multidisciplinary team. Expect questions about how you handle ambiguity and drive consensus.

  • Staff-Level Strategy/Vision Interview: A session focused on your strategic thinking, ability to set direction, and vision for AI-driven experiences. This might involve a hypothetical scenario or discussion of industry trends.

  • Final Round/Hiring Manager Interview: A wrap-up conversation to confirm fit, discuss role expectations, and answer any remaining questions.

Portfolio Review Tips:

  • Curate for Impact: Select 2-3 complex projects that best demonstrate your ability to solve ambiguous problems at a strategic level. Prioritize AI-native product design and end-to-end ownership.

  • Show, Don't Just Tell: Use high-fidelity mockups, interactive prototypes, and detailed case study narratives. Explain the "why" behind your design decisions, the trade-offs you made, and the user impact.

  • Highlight AI & Prototyping: Explicitly showcase your experience with AI-native design principles and your proficiency with prototyping tools. Detail how prototyping informed your thinking and the final product.

  • Demonstrate Collaboration: Describe your role within cross-functional teams and how you partnered with PM, Eng, and Research to achieve outcomes.

  • Quantify Impact: Whenever possible, include metrics or qualitative feedback that demonstrate the success and impact of your designs.

Challenge Preparation:

  • Be prepared to discuss your approach to designing for AI, including challenges like managing user expectations, ensuring transparency, and handling uncertainty.

  • Practice articulating your design process and rationale clearly and concisely, especially when discussing complex interactions or strategic decisions.

  • Research Superhuman's current products (Mail, Grammarly, Coda, Go) to understand their existing design language and user experience. Think about how Go integrates and enhances these.

  • Be ready to discuss your understanding of AI trends and how they might influence future productivity tools.

๐Ÿ“ Enhancement Note: The "Staff" title suggests interviewers will be looking for strategic thinking, leadership potential, and the ability to operate with significant autonomy. Your portfolio and interview responses should reflect a mature design process, a deep understanding of user needs in a productivity context, and a forward-thinking perspective on AI.

๐Ÿ›  Tools & Technology Stack

Primary Tools:

  • Design & Prototyping: Figma (highly likely standard), with advanced capabilities in creating high-fidelity, interactive prototypes.

  • AI-Assisted Design/Dev: Cursor, Claude Code, Figma Make, or similar tools are explicitly mentioned as experience points. This indicates the team is embracing AI in its workflow.

  • Collaboration: Likely tools like Slack, Google Workspace, or similar for day-to-day communication and project management.

Analytics & Reporting:

CRM & Automation:

  • Not directly relevant to the Product Designer role, but understanding how design integrates with broader CRM and automation workflows might be a plus.

๐Ÿ“ Enhancement Note: The explicit mention of AI-assisted tools like Cursor and Claude Code is a strong signal. Candidates should be prepared to discuss their experience and comfort level with integrating AI into their design and development workflows, not just as a subject of design but as a tool for creation.

๐Ÿ‘ฅ Team Culture & Values

Operations Values: (Inferred from company description and common tech values)

  • AI-Native: A core belief in leveraging AI to enhance human potential and eliminate busywork.

  • User-Centricity: A deep commitment to understanding and serving user needs, aiming to make complex tasks simple and intuitive.

  • Craftsmanship & Polish: A dedication to high-quality design execution, attention to detail, and creating delightful user experiences.

  • Collaboration & Transparency: Valuing open communication, cross-functional partnership, and shared ownership.

  • Innovation & Speed: A drive to push boundaries, experiment with new technologies, and iterate quickly in a fast-moving market.

Collaboration Style:

  • Hybrid Integration: A deliberate blend of asynchronous remote work and synchronous in-person collaboration to optimize team dynamics.

  • Cross-Functional Synergy: Close partnerships between Design, Product, and Engineering are foundational to the product development process.

  • Feedback-Driven: An environment that encourages constructive feedback to continuously improve designs and processes.

  • Intentional Design: Focusing on how users express goals and how AI agents can proactively assist, emphasizing meaningful work and progress.

๐Ÿ“ Enhancement Note: Superhuman's stated mission to "unlock the superhuman potential in everyone" and their emphasis on values (linked in the description) suggests a culture that is ambitious, user-focused, and values high-quality execution. The integration of Grammarly and other tools points to a culture that values bringing best-in-class solutions together.

โšก Challenges & Growth Opportunities

Challenges:

  • Designing for Ambiguity: The core of the Staff role involves tackling complex, ill-defined problems in the emerging field of AI agents.

  • AI Transparency & Trust: Designing experiences where users understand and trust the AI's actions and capabilities will be a significant ongoing challenge.

  • Cross-Platform Consistency: Ensuring a seamless and consistent Go experience across desktop, web, and integrated Superhuman products.

  • Balancing Focus & Collaboration: Effectively navigating the hybrid work model to maximize both deep work and team synergy.

  • Raising the Bar: Continuously pushing the boundaries of design quality and innovation in a rapidly evolving AI landscape.

Learning & Development Opportunities:

  • AI Product Design Expertise: Becoming a leader in designing for AI-native applications and agentic workflows.

  • Strategic Influence: Developing skills in shaping product strategy and influencing roadmaps at a senior level.

  • Cross-Functional Leadership: Enhancing collaboration and communication skills with diverse technical and product teams.

  • Industry Trends: Staying at the forefront of AI advancements and their application in productivity tools through continuous learning and experimentation.

  • Design System Evolution: Contributing to the evolution of design systems for complex, AI-infused products.

๐Ÿ“ Enhancement Note: The challenges here are directly tied to the novelty and complexity of AI-driven productivity tools. Successfully navigating these will provide significant learning and growth, making this role attractive for designers looking to build expertise in a cutting-edge domain.

๐Ÿ’ก Interview Preparation

Strategy Questions:

  • "How would you approach designing the core interaction model for an AI agent that needs to help users express intent and manage progress over time?" (Focus on your process, user-centricity, and AI considerations.)

  • "Describe a complex, ambiguous problem you solved end-to-end as a product designer. What was your process, what were the challenges, and what was the outcome?" (Highlight your Staff-level capabilities and impact.)

  • "How do you ensure transparency and build trust when designing AI-driven experiences, especially when the AI is performing actions on behalf of the user?" (Focus on UI patterns, feedback mechanisms, and user control.)

Company & Culture Questions:

  • "What excites you about Superhuman's mission to create an AI-native productivity suite, and how does the Go agent fit into that vision?" (Show your understanding of the company's strategy.)

  • "How do you approach collaboration with product managers and engineers, especially when dealing with novel technologies like AI?" (Emphasize your ability to work effectively in cross-functional teams.)

Portfolio Presentation Strategy:

  • Narrative Focus: Structure your case studies as compelling stories. Start with the problem, explain your unique approach, detail your process (especially for AI and prototyping), and conclude with the impact and learnings.

  • Visual Clarity: Ensure your visuals are clean, well-annotated, and effectively communicate your design decisions. Use motion and interactive elements where appropriate to showcase your craft.

  • AI & Prototyping Emphasis: Dedicate specific sections or talking points to how you designed for AI and leveraged prototyping. Show the evolution of ideas through prototypes.

  • Strategic Rationale: Be prepared to defend your design choices with clear reasoning, linking them back to user needs, business goals, and your understanding of AI capabilities.

  • Conciseness: Respect the interviewer's time. Be thorough but concise, focusing on the most impactful aspects of your work.

๐Ÿ“ Enhancement Note: For a Staff-level role, interviewers are looking for more than just execution skills. They want to see strategic thinking, influence, and the ability to lead complex initiatives. Your preparation should focus on showcasing these attributes through your portfolio and interview responses.

๐Ÿ“Œ Application Steps

To apply for this Staff Product Designer position:

  • Submit your application through the provided link on jobs.ashbyhq.com.

  • Curate your portfolio to highlight 2-3 of your most impactful projects, focusing on end-to-end ownership, complex problem-solving, AI-native design, and advanced prototyping.

  • Tailor your resume to emphasize your 7+ years of experience, specific achievements in product design, and any experience with AI tools or natural language interactions.

  • Prepare a clear narrative for each portfolio project, detailing your role, process, challenges, and the measurable impact of your designs, especially how you designed for AI and used prototyping.

  • Research Superhuman's products (Mail, Grammarly, Coda, Go) and their stated values to understand their strategic direction and cultural fit for your application and interview preparation.

โš ๏ธ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Application Requirements

Candidates must have 7+ years of product design experience with a strong track record of solving complex, ambiguous problems. You should have hands-on experience designing AI-native products and proficiency in high-fidelity prototyping tools.