Staff Product Designer, Go Enterprise

📍 Job Overview

Job Title: Staff Product Designer, Go Enterprise

Company: Superhuman (formerly Grammarly)

Location: San Francisco, CA, United States

Job Type: Full-Time

Category: Product Design / GTM Operations (Enterprise Focus)

Date Posted: February 28, 2026

Experience Level: 7+ Years (Staff Level)

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end design of enterprise-grade user experiences for Superhuman Go, focusing on proactive AI agent capabilities.

• Define and evolve critical user journeys for enterprise personas, translating complex AI systems into clear, trustworthy, and usable interfaces.

• Design robust configuration and control surfaces for AI agents, ensuring safe and practical deployment at scale across organizations.

• Champion design craft, visual clarity, and polished execution to make advanced AI behavior approachable and human for enterprise users.

• Drive adoption and confidence in AI-native productivity tools by focusing on critical enterprise concerns like data protection, integrations, and audit trails.

📝 Enhancement Note: This role is positioned as a Staff Product Designer with a specific focus on "Go Enterprise." This implies a senior-level individual contributor role responsible for strategic design direction and execution within a complex, B2B SaaS environment. The "Go" product is described as a proactive agent platform, suggesting a need for expertise in designing intuitive interfaces for AI-driven workflows and automation, particularly for organizational-level deployment and management. The emphasis on "enterprise" signifies a requirement for understanding B2B user needs, administrative controls, security, and scalability.

📈 Primary Responsibilities

• Own the complete design lifecycle for Superhuman Go's enterprise features, from initial concept through to polished execution and iterative improvement.

• Define and articulate critical user journeys for enterprise administrators and end-users, ensuring seamless integration of AI agent capabilities into their daily workflows.

• Design intuitive and secure interfaces for configuring AI agent behavior, including feature enablement, data management policies, and model selection.

• Develop trustworthy user experiences that clearly communicate data protection measures, integration capabilities, identity management protocols, and audit log transparency.

• Hold a high bar for design craft, delivering exceptionally polished interfaces and interactions that enhance clarity, usability, and visual appeal across both end-user and admin dashboards.

• Collaborate intimately with Product Management, Engineering, Research, Content Strategy, and Security teams to navigate technical constraints, make informed trade-offs, and elevate the quality of enterprise AI experiences.

• Act as a design leader, setting strategic direction for enterprise features and influencing product vision for AI-native productivity solutions.

• Translate complex AI concepts and system behaviors into easily understandable and actionable design patterns for enterprise adoption.

📝 Enhancement Note: The primary responsibilities clearly indicate a senior-level design leadership role within a specialized product area (Go Enterprise). The emphasis on "owning the end-to-end design," "defining critical user journeys," and "designing configuration and control surfaces" points to a need for strategic thinking, user-centered problem-solving, and a deep understanding of enterprise software dynamics. The requirement to "hold a high bar for design craft" and "create trustworthy experiences" highlights the importance of meticulous execution and a focus on user confidence, especially with AI-driven products.

🎓 Skills & Qualifications

Education:

Experience:

• 7+ years of professional product design experience, with a proven ability to manage and deliver complex, cross-surface problems from inception to launch.

• Demonstrated success operating at a Staff or Principal level, characterized by setting strategic design direction, influencing cross-functional partners, and elevating design quality across multiple projects.

• Significant experience designing enterprise-grade software, with a focus on products where user trust, reliability, and clarity are paramount to adoption and success.

Required Skills:

• Product Design Leadership: Ability to define vision, set direction, and influence product strategy for complex enterprise features.

• Enterprise UX Design: Deep understanding of B2B user needs, administrative controls, security protocols, and scalability requirements for organizational software.

• AI Interaction Design: Expertise in designing intuitive interfaces for AI-driven products, managing user expectations around AI capabilities, and building trust in AI outputs.

• Systems Thinking: Capacity to reason about complex interconnected systems, user flows, and agent behaviors to create cohesive and logical user experiences.

• Design Craft & Execution: Exceptional UI design skills, meticulous interaction design, and a keen eye for detail, resulting in polished and visually coherent interfaces.

• Cross-Functional Collaboration: Proven ability to partner effectively with Product Managers, Engineers, Researchers, and other stakeholders to achieve shared goals.

• Problem Solving: Ability to tackle ambiguous and complex problems, breaking them down into manageable design solutions.

• Communication: Strong verbal and written communication skills to articulate design decisions, rationale, and trade-offs effectively.

Preferred Skills:

• Experience with proactive agent platforms or AI assistants.

• Familiarity with data privacy regulations and compliance in enterprise contexts.

• Experience designing for security-sensitive applications or features (e.g., identity management, audit logs).

• Knowledge of user research methodologies and ability to translate insights into design decisions.

• Experience working in a fast-paced, results-driven tech environment.

📝 Enhancement Note: The qualifications emphasize a senior-level designer with specific experience in enterprise B2B SaaS and AI-native products. The "Staff level" designation implies leadership, strategic thinking, and the ability to operate with autonomy. The "AI-native products" requirement is critical, as it suggests the need for designers who understand how to design for systems where the AI's behavior, limitations, and trustworthiness are core to the user experience, not just an add-on feature.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design projects, clearly articulating your role, the problem space, your design process, and the impact of your solutions.

• Include case studies that demonstrate experience with complex, cross-surface problems and how you navigated ambiguity.

• Highlight projects specifically related to enterprise software, B2B applications, or platforms requiring robust administrative controls and user management.

• Present examples of designing for trust, security, and data privacy within user interfaces, particularly if related to sensitive data or AI functionalities.

Process Documentation:

• Clearly outline your design process for each case study, detailing discovery, ideation, prototyping, user testing, and iteration phases.

• Emphasize how you collaborate with cross-functional teams (Product, Engineering, Research) throughout the design lifecycle.

• For AI-related projects, explain how you approached designing for uncertainty, model behavior, and user education regarding AI capabilities.

• Showcase how you measured the success of your designs, ideally with quantifiable outcomes related to user adoption, task completion, or efficiency gains.

📝 Enhancement Note: For a Staff Product Designer role, the portfolio is paramount. It needs to go beyond just showcasing final UI and delve deep into the process and strategy behind the design. The emphasis on "enterprise experiences," "AI-native products," and "trustworthiness" means the portfolio should explicitly address how the candidate tackled these specific challenges. Demonstrating a structured approach to complex problems and cross-functional collaboration is key for a senior role.

💵 Compensation & Benefits

Salary Range:

• Zone 1 (US): $232,000 - $319,000 USD per year.

• Zone 1 (Canada): Equivalent market-based compensation.

• Note: Base pay is determined by job-related knowledge, skills, and experience, and may vary. The ranges provided are subject to change.

Benefits:

• Comprehensive Health Care (Medical, Dental, Vision, Mental Health, Fertility)

• Disability and Life Insurance options

• 401(k) and RRSP Matching

• Paid Parental Leave

• Generous Paid Time Off:

  • 20 days of Paid Time Off (PTO) per year
  • 12 days of Paid Holidays per year
  • 2 Floating Holidays per year
  • Flexible Sick Time

• Stipends for:

  • Caregiving
  • Pet Care
  • Wellness
  • Home Office

Working Hours:

• Standard full-time commitment, typically 40 hours per week, with flexibility expected to meet project deadlines and collaborative needs within a hybrid model.

📝 Enhancement Note: The salary range provided is quite specific and tiered by compensation zones. For the San Francisco location (Zone 1), the range is substantial, reflecting the senior level and high cost of living. The benefits package is extensive, covering health, financial security, work-life balance, and professional development, which are strong indicators of a company investing in its employees' well-being and growth. The mention of "market-based approach" and "compensation zones" is standard practice for larger tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI Productivity Platform / Software & Technology (specifically focusing on enterprise AI solutions)

Company Size: Superhuman is a rapidly growing company, having merged with Grammarly. While specific current numbers are not provided, the combined entity is significant, with a mission to empower millions of users and thousands of organizations. This implies a dynamic, fast-paced, and innovation-driven environment.

Founded: Superhuman was founded in 2009 as Grammarly, evolving into Superhuman as an AI productivity platform. This history suggests a company with a strong foundation in AI and a forward-looking vision.

Team Structure:

• The role operates within the "Go Enterprise" team, which is focused on scaling Superhuman's proactive agent platform for organizational use.

• This team likely comprises Product Managers, Engineers, Researchers, and Designers working collaboratively to define and build enterprise-grade AI solutions.

• As a Staff Product Designer, you will be a senior individual contributor, expected to work independently while also influencing and mentoring others.

Methodology:

• AI-Native Development: The company's core mission revolves around AI, so design and development processes are likely centered around leveraging AI capabilities to enhance productivity and user experiences.

• User-Centric Design: Despite the AI focus, the emphasis on "human potential" and "approachable AI" suggests a strong commitment to user-centered design principles, ensuring that AI serves users effectively and intuitively.

• Agile/Iterative Development: Given the fast-paced nature of tech and AI, expect agile methodologies, with rapid iteration, testing, and continuous improvement of products based on user feedback and performance data.

• Data-Driven Decision Making: While not explicitly stated for design, the general tech industry trend and the nature of AI products imply that design decisions will be informed by data, user research, and performance metrics.

Company Website: superhuman.com

📝 Enhancement Note: Superhuman's acquisition of Grammarly positions it as a major player in the AI productivity space. The "Go Enterprise" focus signals a strategic move into the B2B market, requiring a design approach that balances advanced AI capabilities with the stringent needs of enterprise clients (security, control, scalability, trust). The culture is likely to be highly innovative, fast-paced, and collaborative, with a strong emphasis on leveraging AI to solve real-world productivity challenges.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer. This is a senior individual contributor role, typically one or two levels below Principal or Director. It signifies deep expertise, strategic influence, and the ability to lead complex projects autonomously. For operations professionals, this translates to a role that drives significant impact on GTM strategy and execution through product design.

Reporting Structure: The description mentions partnering closely with Product, Engineering, Research, Content, and Security teams. While the direct reporting manager isn't specified, a Staff Designer often reports into a Design Lead, Head of Design, or Director of Product. The role requires influencing peers and stakeholders across departments.

Operations Impact: The Staff Product Designer for Go Enterprise will directly influence how organizations adopt and leverage AI for productivity. This includes shaping user trust, driving adoption rates, and ensuring the scalability of AI agent behavior across thousands of users. The impact is significant, affecting how entire companies operate and unlock "superhuman potential."

Growth Opportunities:

• Technical Depth & AI Specialization: Deepen expertise in designing for AI-native products, understanding complex AI models, and developing best practices for trustworthy AI interactions in enterprise settings.

• Strategic Product Influence: Grow influence within the product organization, contributing to the strategic roadmap for Superhuman Go and potentially other AI-powered products within the suite.

• Leadership & Mentorship: As a Staff Designer, there are opportunities to mentor junior designers, lead design initiatives, and potentially transition into management roles or Principal/Distinguished Designer tracks.

• Cross-Functional Leadership: Develop stronger partnerships and leadership skills by driving alignment and execution across multiple departments.

• Industry Recognition: Contribute to high-impact products in a rapidly evolving field, potentially leading to industry recognition for design innovation in AI and enterprise solutions.

📝 Enhancement Note: The "Staff" title is crucial. It implies a high level of autonomy, strategic contribution, and influence. For operations roles, this means the candidate is expected to not just execute but to define strategy, mentor others, and drive significant business outcomes through their design expertise. The growth paths are typical for senior individual contributors in tech, focusing on deepening expertise, expanding influence, and leadership.

🌐 Work Environment

Office Type: Superhuman employs a "hub-based hybrid working model." This means there are physical office spaces (hubs) for in-person collaboration, but employees also have flexibility to work remotely.

Office Location(s): The primary location mentioned is San Francisco, CA. The hybrid model implies that while the role is based in San Francisco, there will be expectations for in-office presence for specific collaborative activities.

Workspace Context:

• Hybrid Collaboration: The model balances focused, individual work time with in-person collaboration designed to foster trust, innovation, and a strong team culture. Expect a mix of remote collaboration tools and in-office meetings.

• Technology Focus: As an AI-native company, the workspace will likely be equipped with modern technology, advanced collaboration tools, and access to robust design and development environments.

• Innovation Hub: The San Francisco hub is likely a center for innovation, creativity, and intensive cross-functional work, especially for a role focused on enterprise product development.

Work Schedule: Standard full-time hours (approx. 40 hours/week) with the expectation of flexibility to accommodate project needs and team collaboration, particularly within a hybrid model. The emphasis on "focus time" suggests an appreciation for deep work, which is essential for complex design tasks.

📝 Enhancement Note: The "hub-based hybrid" model is a key differentiator. It suggests a deliberate approach to balancing remote flexibility with the benefits of in-person interaction, crucial for complex problem-solving and team cohesion in advanced product development. For a designer, this means understanding how to leverage both modes of work effectively.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a conversation with a recruiter to assess basic qualifications, experience, and cultural fit.

• Portfolio Review & Design Challenge: A key stage involves presenting your portfolio, focusing on relevant enterprise and AI experience. This may be followed by a design exercise or case study presentation to evaluate your problem-solving skills, design craft, and strategic thinking.

• Cross-Functional Interviews: Meetings with Product Managers, Engineers, and potentially Researchers to assess collaboration skills, technical understanding, and alignment with team processes.

• Hiring Manager/Leadership Interview: A discussion with the hiring manager or design leadership to delve deeper into strategic thinking, leadership potential, and alignment with the company's vision and values.

• Final Round/Executive Interview: Potentially a final conversation with senior leadership to confirm strategic fit and overall suitability for the role.

Portfolio Review Tips:

• Curate for Relevance: Select projects that best showcase your experience with enterprise products, AI-native design, complex systems, and cross-surface problem-solving. Highlight projects where trust, security, and user clarity were critical.

• Tell a Story: For each project, clearly articulate the problem, your role, your process (discovery, ideation, iteration), design decisions, and the measurable impact of your work. Use visuals effectively to illustrate your points.

• Demonstrate Staff-Level Thinking: Go beyond describing tasks; explain your strategic contributions, how you influenced direction, managed trade-offs, and raised the bar for quality.

• Address AI & Enterprise Nuances: Be prepared to discuss how you approached designing for AI model behavior, user trust in AI, data protection, and enterprise-specific administrative controls.

• Be Prepared for Questions: Anticipate questions about your design philosophy, how you handle ambiguity, your collaboration style, and how you approach complex technical challenges.

Challenge Preparation:

• Understand the Product: Research Superhuman, its mission, its products (Grammarly, Coda, Mail, Go), and its target audience, especially the enterprise segment.

• Anticipate AI Design Problems: Think about common challenges in designing AI-powered interfaces: managing user expectations, explaining AI decisions, handling errors, ensuring data privacy, and building trust.

• Practice Enterprise Scenarios: Consider how you would design for organizational deployment, user onboarding, admin controls, and policy management for an AI agent.

• Structure Your Presentation: If given a design challenge, prepare a clear structure for your presentation, including problem definition, assumptions, proposed solutions, rationale, and next steps.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's portfolio for evidence of senior-level contributions in enterprise and AI design. The design challenge or case study presentation is critical for assessing practical skills and strategic thinking. Candidates should be prepared to articulate their process and rationale in detail, especially concerning the unique challenges of designing for AI in an enterprise context.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable given industry standards), Sketch, Adobe Creative Suite (Illustrator, Photoshop).

• Prototyping & Testing: InVision, Principle, Framer, or Figma's prototyping features for interactive mockups.

• Collaboration & Project Management: Jira, Asana, Trello, Slack for team communication and task tracking.

Analytics & Reporting:

CRM & Automation:

• Understanding of enterprise CRM systems (e.g., Salesforce) and workflow automation tools might be relevant for grasping how Go integrates into broader business processes, although direct hands-on experience is less likely to be a primary requirement for a designer.

📝 Enhancement Note: The core tools for this role will be standard professional design software like Figma. However, understanding how design integrates with product analytics, project management, and potentially enterprise systems like CRMs is crucial for a designer operating at the enterprise level. The ability to create interactive prototypes is a must for illustrating complex interactions.

👥 Team Culture & Values

Operations Values:

• Embrace Differences & Foster Inclusion: Superhuman actively encourages applications from individuals with diverse backgrounds and identities, aiming to create an inclusive environment where everyone can thrive.

• Mission-Driven: The company is driven by a mission to "unlock the superhuman potential in everyone," implying a focus on impact, innovation, and empowering users.

• Customer Focus: While not explicitly stated for design, the emphasis on user experience and driving adoption suggests a strong underlying value of understanding and serving customer needs, especially enterprise clients.

• Excellence & Craftsmanship: The high expectations for "design craft," "visual clarity," and "polished execution" indicate a culture that values quality and attention to detail.

• Collaboration & Trust: The hybrid model and emphasis on partnering closely with other teams highlight the importance of teamwork, open communication, and mutual trust.

Collaboration Style:

• Cross-Functional Partnership: The role requires extensive collaboration with Product, Engineering, Research, Content, and Security teams. This suggests a culture where diverse perspectives are valued, and decisions are made through collective input.

• Hub-Based Interaction: The hybrid model encourages in-person interaction for key collaborative activities, fostering stronger relationships and more effective brainstorming/problem-solving sessions.

• Open Communication: The fast-paced nature of tech and AI necessitates clear, concise, and frequent communication, likely facilitated through tools like Slack and regular team meetings.

• Feedback Culture: Expect a culture where constructive feedback is exchanged regularly, both within the design team and across disciplines, to continuously improve products and processes.

📝 Enhancement Note: The company's stated values around inclusion and its mission to unlock human potential are key cultural indicators. For a designer, understanding how these values translate into the product development process and team dynamics is crucial. The hybrid model also shapes the collaboration style, requiring intentionality in how teams connect and work together.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity & Trust: Translating the capabilities and limitations of advanced AI agents into designs that are understandable, reliable, and trustworthy for enterprise users. This includes managing user expectations around AI behavior and ensuring data privacy.

• Scaling Enterprise Solutions: Ensuring that design solutions for Go Enterprise are scalable across vast organizations, accommodating diverse user roles, administrative needs, and integration requirements.

• Balancing Innovation with Enterprise Needs: Innovating with cutting-edge AI while adhering to enterprise-level requirements for security, stability, control, and compliance.

• Cross-Functional Alignment: Navigating complex stakeholder requirements and technical constraints from Product, Engineering, and Security to deliver cohesive and impactful design solutions.

• Pacing in a Fast-Moving Field: Keeping pace with rapid advancements in AI technology and applying them effectively to product design within the competitive productivity software market.

Learning & Development Opportunities:

• Deep AI Product Design Expertise: Become a leader in designing for AI-native products, gaining in-depth knowledge of AI models, their implications, and how to design for them effectively.

• Enterprise SaaS Strategy: Develop a strong understanding of enterprise software sales cycles, customer needs, and the strategic considerations for deploying technology at scale.

• Advanced Design Leadership: Hone skills in setting design direction, influencing product strategy, mentoring other designers, and potentially leading design initiatives for new product areas.

• Industry Trends & Emerging Tech: Stay at the forefront of AI and productivity software trends, with opportunities for professional development, conferences, and continuous learning.

• Impactful Product Development: Contribute to a product that has the potential to fundamentally change how millions of people and thousands of organizations work.

📝 Enhancement Note: The challenges are directly tied to the specific nature of the role: designing advanced AI for enterprise clients. The growth opportunities reflect the senior nature of the position, focusing on deepening specialized expertise, expanding strategic influence, and developing leadership capabilities.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing the administrative control panel for an AI agent that organizations can deploy across their workforce?" (Focus on security, user roles, feature enablement, audit trails, and configurability).

• "Describe a time you had to design for ambiguity or uncertainty in an AI product. What was your process, and what were the key outcomes?" (Look for structured problem-solving, user-centricity, and managing AI limitations).

• "How do you balance user needs with technical constraints and business objectives when designing complex enterprise features?" (Assess strategic thinking, trade-off management, and cross-functional collaboration).

Company & Culture Questions:

• "What excites you most about Superhuman's mission and the Go Enterprise product?" (Demonstrate research into the company and alignment with its goals).

• "How do you see your design philosophy aligning with Superhuman's values, particularly regarding inclusion and unlocking human potential?" (Showcase cultural awareness and alignment).

Portfolio Presentation Strategy:

• Structure for Impact: Start with a high-level overview of the project's business goals and user problem. Then, walk through your design process chronologically, highlighting key decisions and rationale. Conclude with the outcomes and learnings.

• Focus on Enterprise & AI: Specifically call out how you addressed enterprise requirements (scalability, security, admin controls) and AI-specific design challenges (trust, transparency, model behavior) in your chosen case studies.

• Quantify Impact: Whenever possible, present metrics or results that demonstrate the success of your designs, such as increased adoption, improved task completion rates, or reduced errors.

• Be Prepared for Deep Dives: Know your projects inside and out. Be ready to answer detailed questions about your process, your rationale behind specific design choices, and how you collaborated with other teams.

• Showcase Craftsmanship: Ensure your presentation materials are polished, clear, and well-designed, reflecting the high bar for execution expected in this role.

📝 Enhancement Note: Interview preparation should focus on articulating strategic thinking, demonstrating deep understanding of enterprise and AI design principles, and showcasing a mature design process. Candidates should be ready to present case studies that specifically address the challenges of this role and demonstrate senior-level impact.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the provided link on Greenhouse.

• Portfolio Customization: Tailor your portfolio to prominently feature projects related to enterprise software, AI-native products, complex systems, and user trust. Highlight your role in defining strategy and driving outcomes.

• Resume Optimization: Ensure your resume clearly articulates your 7+ years of experience, your Staff-level contributions, and specific examples of designing for enterprise and AI contexts. Use keywords from the job description.

• Interview Preparation: Thoroughly research Superhuman, its mission, and its product suite. Prepare to discuss your design process, strategic thinking, and how you approach complex challenges, particularly those involving AI and enterprise adoption. Practice presenting your portfolio with a focus on impact and relevance.

• Company Culture Research: Familiarize yourself with Superhuman's values and hybrid work model. Be ready to discuss how you contribute to an inclusive and collaborative environment.

⚠️ 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.