Senior Product Designer
π Job Overview
Job Title: Senior Product Designer
Company: Tessera Labs
Location: Remote (United States)
Job Type: Full-time
Category: Product Design / AI & Enterprise Software
Date Posted: May 13, 2026
Experience Level: Senior (5-10 years)
Remote Status: Fully Remote
π Role Summary
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Lead the end-to-end design lifecycle for AI-driven enterprise workflows, focusing on intuitive interfaces for complex multi-system processes.
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Design for governance, trust, and observability within multi-agent AI systems, ensuring human control and oversight.
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Conduct user research with enterprise stakeholders to inform design iterations and drive user-centric product development.
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Build and maintain a robust design system to ensure platform consistency across Tessera Mosaic.
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Act as the primary design voice, collaborating directly with product, engineering, and leadership to shape product vision and UX standards.
π Enhancement Note: This role is a foundational, high-ownership individual contributor position within a rapidly growing AI startup. The emphasis on "category that barely exists yet" and "multi-agent AI systems" signals a need for a designer comfortable with ambiguity, pioneering new interaction paradigms, and deeply understanding complex enterprise systems like SAP, Salesforce, and Workday. The "design voice in the room from day one" and "shape what design looks like at Tessera" indicates significant strategic influence and potential for leadership growth.
π Primary Responsibilities
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Spearhead the design process from initial research and ideation through to high-fidelity wireframes and interactive prototypes for AI-powered, data-intensive enterprise workflows.
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Translate intricate user needs and strategic business objectives into seamless, trustworthy interfaces for complex multi-system integrations involving SAP, Salesforce, Workday, and Oracle.
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Develop user experiences that clearly articulate agent actions, reasoning, and decision-making processes, enabling human review, intervention, and override capabilities.
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Execute qualitative and quantitative user research with target enterprise audiences, including IT leaders, ERP administrators, and business analysts, to drive informed design decisions.
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Foster strong, collaborative partnerships with product managers and engineers to ensure alignment on product vision, validate technical feasibility, and maintain high-quality product delivery.
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Establish and evolve the design system for the Tessera Mosaic platform, ensuring visual and interactive consistency across all products and user touchpoints.
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Elevate the overall design quality within the company by providing constructive design critiques, guiding engineers on UX best practices, and championing user-centricity across all departments.
π Enhancement Note: The responsibilities emphasize a deep dive into enterprise systems (SAP, Salesforce, Workday, Oracle) and the unique challenges of designing for AI agents. The focus on "governance and trust" and "observability into how agents reason and act" highlights a critical need for designers who can translate complex AI behavior into understandable and controllable user interfaces, a common challenge in the evolving AI product space.
π Skills & Qualifications
Education: While no specific degree is mandated, a strong educational foundation in Human-Computer Interaction (HCI), Interaction Design, Graphic Design, or a related field is expected, demonstrated through experience and portfolio.
Experience: A minimum of 5 years of progressive experience in product design, with a significant track record of building and shipping complex enterprise products, B2B SaaS platforms, or developer tools.
Required Skills:
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Comprehensive expertise across the full product design spectrum: interaction design, visual design, information architecture, and user research methodologies.
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Proven ability in systems-level thinking, capable of designing coherent end-to-end experiences across multiple products and complex workflows.
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Proficiency with industry-standard design and prototyping tools, particularly Figma.
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Demonstrated experience in designing for B2B SaaS or enterprise tooling environments.
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Strong understanding of user research techniques and the ability to translate findings into actionable design improvements.
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Excellent verbal and written communication skills, with the ability to articulate design rationale and trade-offs effectively to diverse stakeholders.
Preferred Skills:
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Direct experience designing for AI-native, agentic, or data-intensive products.
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Familiarity with enterprise systems such as ERP (SAP, Oracle), CRM (Salesforce), or HCM (Workday).
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Experience operating and designing within fast-paced, startup environments.
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Familiarity with or experience using AI-assisted design tools like Cursor.
π Enhancement Note: The requirement for "5+ years of proven experience in product design, building enterprise products, developer tools" and a "strong portfolio of complex, shipped productsβideally B2B SaaS, enterprise tooling, or developer tools" is a critical filter. This indicates the company is seeking a seasoned designer who can hit the ground running and has a proven history of delivering successful, complex B2B solutions, rather than an entry-level or junior designer. The emphasis on "systems-level thinking" is paramount for this role.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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A robust portfolio showcasing a minimum of 3-5 complex, shipped B2B SaaS or enterprise products.
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Detailed case studies that clearly articulate your role, the design process, challenges faced, and the impact of your design solutions.
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Emphasis on end-to-end ownership, demonstrating your ability to take a product from concept to launch.
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Visual documentation of interaction flows, information architecture, and user research findings.
Process Documentation:
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Case studies must detail the user research methodology employed, including methods for gathering insights from enterprise users.
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Showcase your approach to systems thinking, illustrating how you designed for interconnected workflows and platform consistency.
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Evidence of your experience in building or contributing to design systems, including examples of reusable components and guidelines.
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Documentation of how youβve designed for governance, trust, and observability in complex systems.
π Enhancement Note: The portfolio requirement is critical and goes beyond mere visual aesthetics. It needs to demonstrate a deep understanding of enterprise workflows, systems thinking, and the ability to design for complex, data-heavy, and AI-driven products. The emphasis on "complex, shipped products" and "end-to-end ownership" means candidates must present well-documented case studies that highlight their strategic contribution and tangible outcomes.
π΅ Compensation & Benefits
Salary Range: $179,000 - $210,000 USD per year. This range is based on the provided salary data and reflects a senior-level product design role in the US tech market, with potential adjustments for specific experience and location within the US if applicable.
Benefits:
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Equity: Opportunity to own a stake in a rapidly growing AI startup.
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Comprehensive health, dental, and vision insurance plans.
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401(k) retirement savings plan.
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Professional development and continuous learning opportunities.
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Generous paid time off (PTO) and holidays.
Working Hours: Full-time, approximately 40 hours per week. While a standard work week is expected, the remote nature and startup environment may offer flexibility, with a focus on output and impact rather than strict adherence to hours.
π Enhancement Note: The stated salary range of $179,000 - $210,000 USD is competitive for a Senior Product Designer role in the US, especially for a well-funded AI startup. The inclusion of "Equity" as a benefit is significant, indicating a strong incentive for long-term commitment and a stake in the company's success, which is typical for early-stage tech companies. The "AI-native, agentic, or data-intensive products" and "ERP, CRM, HCM" experience are key differentiators that could command a salary at the higher end of this range.
π― Team & Company Context
π’ Company Culture
Industry: Artificial Intelligence, Enterprise Software, Automation, SaaS. Tessera Labs operates at the cutting edge of AI, specifically focusing on multi-agent systems to automate complex business workflows within established enterprise platforms. This positions them as a disruptor in the enterprise software and AI automation market.
Company Size: Early-stage startup (exact employee count not specified, but implied to be small and growing, with leadership from major tech companies). This size means high visibility, direct impact, and a lean, agile operational structure.
Founded: Founded by leaders from Meta AI, Google Research, Microsoft AI, SAP, Oracle, and Salesforce. This deep bench of expertise from major tech players suggests a culture of technical excellence, strategic thinking, and a focus on solving significant enterprise challenges.
Team Structure:
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The design function is nascent, with this being the first dedicated Senior Product Designer hire. This implies a direct reporting line to product leadership or a founding team member.
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The role will involve close collaboration with a small, highly skilled engineering team and product managers.
Methodology:
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AI-First Approach: Emphasis on building "real AI automation" and operating at the "frontier of applied AI."
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Extreme Ownership: A core value, meaning individuals are expected to take full responsibility for their areas and drive them to completion.
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Speed and Agility: The company "moves fast," indicating a dynamic and iterative development process.
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Enterprise Focus: Strong emphasis on understanding and solving complex problems for large enterprises, integrating with their existing systems.
Company Website: https://tesseralabs.ai/
π Enhancement Note: The company culture is described as "enterprise serious, AI forward," backed by prestigious investors and a founding team from top AI and enterprise software companies. This points to a high-caliber, ambitious, and technically sophisticated environment. The "extreme ownership" and "move fast" ethos is typical of successful startups and requires individuals who are proactive, self-directed, and comfortable with rapid iteration.
π Career & Growth Analysis
Operations Career Level: This is a Senior Individual Contributor (IC) role, crucial for establishing the design practice at Tessera Labs. It offers significant autonomy and the opportunity to define design standards and processes.
Reporting Structure: The Senior Product Designer will likely report directly to a Head of Product, VP of Product, or a founding member. This close proximity to leadership provides high visibility and direct influence on product strategy.
Operations Impact: The designer will have a direct and substantial impact on how enterprise users perceive and interact with cutting-edge AI automation. Success in this role means shaping user trust, adoption, and the overall effectiveness of Tessera Labs' multi-agent AI systems, directly influencing revenue and market positioning.
Growth Opportunities:
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Design Leadership: As the company scales, there's a strong likelihood of growing into a Design Lead or Head of Design role, building and managing a design team.
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Product Strategy: Deep involvement in product strategy, influencing the roadmap and vision for AI automation in enterprise workflows.
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Skill Specialization: Opportunity to become a leading expert in designing for novel AI interaction paradigms, agentic systems, and complex enterprise integrations.
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Cross-Functional Expertise: Developing strong collaboration skills with engineering, product, and GTM teams, broadening professional capabilities.
π Enhancement Note: This role offers substantial growth potential, moving beyond a pure IC role to potentially leading the design function. The "high ownership, high impact" described in the job posting, combined with the early-stage nature of the company, suggests that individuals who excel can quickly shape their career trajectory and take on leadership responsibilities. The focus on a "category that barely exists yet" provides a unique opportunity for deep specialization and thought leadership in AI product design.
π Work Environment
Office Type: Fully Remote with a focus on the United States. This offers maximum flexibility for team members across different time zones within the US.
Office Location(s): Remote within the United States. This implies team members can work from their preferred location within the country, fostering a distributed and flexible work environment.
Workspace Context:
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Distributed Collaboration: Expect a highly collaborative digital environment, relying heavily on tools like Slack, Zoom, and Figma for communication and design work.
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Technology Stack: Access to leading design and collaboration tools, including Figma, and potentially AI-assisted design tools.
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Team Interaction: Regular virtual team meetings, design critiques, and cross-functional syncs to maintain alignment and foster a cohesive team spirit despite the remote setup.
Work Schedule: While the standard is 40 hours/week, the remote and startup nature often translates to flexibility. The focus is on delivering results and meeting project deadlines, allowing for adaptable schedules as long as collaboration and availability for key meetings are maintained.
π Enhancement Note: The fully remote nature for US-based employees means the company is adept at managing distributed teams and likely has robust processes for virtual collaboration. The emphasis on "enterprise serious, AI forward" suggests a professional, results-oriented work ethic, even within a flexible remote setting. Candidates should be prepared for a highly digital and asynchronous communication style.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess experience, skills, and alignment with the role's requirements.
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Portfolio Presentation & Discussion: A deep dive into your portfolio, where you'll present 1-2 key case studies. Expect questions about your design process, decision-making, collaboration, and the impact of your work. This is where "systems-level thinking" and enterprise design experience will be heavily scrutinized.
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Design Challenge/Exercise: Potentially a take-home assignment or a live design exercise focusing on a relevant problem space (e.g., designing an interface for an AI agent's decision-making or a governance dashboard). This will test your ability to apply your skills to Tessera Labs' specific domain.
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Cross-Functional Interviews: Meetings with Product Management, Engineering, and potentially founding leadership to assess your collaborative capabilities, technical understanding, and cultural fit.
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Final Interview: Likely with a founder or senior leader to discuss overall vision, career aspirations, and final alignment.
Portfolio Review Tips:
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Curate Strategically: Select case studies that best showcase your experience with complex enterprise products, B2B SaaS, and ideally, any exposure to AI, data-heavy interfaces, or systems integrations.
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Focus on Process & Impact: Clearly articulate the problem, your approach, your specific contributions, the trade-offs you made, and the quantifiable or qualitative outcomes of your design. Use visuals effectively to tell the story.
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Highlight Systems Thinking: Demonstrate your ability to think holistically about user journeys across multiple systems and platforms, not just isolated screens.
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Showcase Research & Iteration: Detail how you used user research to inform your designs and how you iterated based on feedback.
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Be Prepared for AI/Enterprise Specifics: Be ready to discuss how you'd approach designing for AI agents, governance, and complex enterprise workflows like SAP or Salesforce.
Challenge Preparation:
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Understand the Domain: Research Tessera Labs' mission, the problem of multi-agent AI automation for enterprises, and the systems they integrate with (SAP, Salesforce, Workday).
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Think Holistically: For any design challenge, consider the entire user journey, potential edge cases, and how the design fits into the broader system.
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Prioritize Trust & Control: For AI-related challenges, focus on how to build user trust, provide transparency into AI actions, and ensure users remain in control.
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Communicate Your Rationale: Clearly explain your design decisions, assumptions, and trade-offs.
π Enhancement Note: The interview process will heavily lean on portfolio review and potentially a design challenge tailored to AI and enterprise systems. Candidates need to be prepared to articulate their thought process for complex problems, demonstrate systems thinking, and show how they've handled ambiguity and driven impact in previous roles, especially within B2B/enterprise contexts.
π Tools & Technology Stack
Primary Tools:
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Figma: The core tool for UI/UX design, wireframing, prototyping, and collaboration. Proficiency is essential.
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Prototyping Tools: Beyond Figma, experience with advanced prototyping for complex interactions or user flows might be beneficial.
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User Research Platforms: Tools for conducting interviews, surveys, and usability testing (e.g., UserTesting.com, Lookback, Maze).
Analytics & Reporting:
CRM & Automation:
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Enterprise Systems: Familiarity with the user interfaces and workflows of major enterprise systems like SAP, Salesforce, Workday, and Oracle is a significant advantage.
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AI Tools: Experience with AI tools, especially those related to agentic systems or AI-assisted design (e.g., Cursor), is a plus.
π Enhancement Note: Figma is explicitly mentioned as a required tool. The emphasis on enterprise systems like SAP, Salesforce, and Workday suggests that designers who understand the complexities and user expectations within these environments will have a distinct advantage. Experience with AI-specific design tools or platforms is also a plus, reflecting the company's core focus.
π₯ Team Culture & Values
Operations Values:
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Extreme Ownership: Taking full responsibility for design outcomes and proactively driving initiatives.
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AI Forward: A commitment to innovation and building at the forefront of applied AI.
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Enterprise Serious: A deep understanding and respect for the complexities and needs of enterprise clients.
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Speed & Agility: A culture of moving quickly, iterating, and adapting to new information.
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User-Centricity: A foundational belief in understanding and solving user problems, even within complex technical systems.
Collaboration Style:
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Direct & Transparent: Given the startup environment and remote setup, expect direct communication and a focus on clear, concise information sharing.
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Cross-Functional Integration: Design will be deeply integrated with Product and Engineering, requiring a collaborative approach to problem-solving and decision-making.
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Feedback-Oriented: A culture where constructive feedback is shared and received to improve designs and processes.
π Enhancement Note: The core values of "extreme ownership," "AI forward," and "enterprise serious" are key to understanding the expected mindset. Candidates should demonstrate how they embody these values in their work, particularly in handling complex, enterprise-level challenges with a proactive and innovative approach.
β‘ Challenges & Growth Opportunities
Challenges:
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Designing for the Unknown: Creating user interfaces for a nascent category of multi-agent AI systems requires pioneering new interaction patterns and user paradigms.
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Balancing AI Autonomy with Human Control: Designing experiences that leverage AI's power while ensuring users feel in control, understand AI actions, and can intervene effectively.
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Integrating with Complex Enterprise Systems: Designing cohesive experiences that seamlessly integrate with established, often complex, enterprise platforms like SAP and Salesforce.
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Building a Design Practice from Scratch: As the first dedicated designer, establishing design processes, standards, and advocacy within a fast-paced startup.
Learning & Development Opportunities:
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Pioneering AI Design: Become an expert in designing for cutting-edge AI technologies and agentic systems.
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Deep Enterprise System Knowledge: Gain unparalleled insight into the architecture and user needs of major enterprise platforms.
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Strategic Product Influence: Directly shape the product vision and roadmap of an AI startup with significant backing.
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Leadership Potential: Opportunity to build and lead the design function as the company scales.
π Enhancement Note: The primary challenges revolve around the novelty of the technology and the complexity of the enterprise landscape. The growth opportunities are directly tied to overcoming these challenges, offering a chance to become a leader in a rapidly evolving field.
π‘ Interview Preparation
Strategy Questions:
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"How would you approach designing an interface for a multi-agent AI system that automates a complex SAP workflow? What are the key considerations for trust and control?" (Tests AI design, enterprise integration, and strategy).
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"Describe a time you had to design for a complex, data-heavy enterprise system. What were the challenges, and how did you ensure a coherent user experience across different modules or platforms?" (Tests enterprise experience and systems thinking).
Company & Culture Questions:
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"What excites you about Tessera Labs' mission to bring AI automation to enterprises?" (Tests alignment with company vision).
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"How do you embody 'extreme ownership' in your work?" (Tests cultural fit).
Portfolio Presentation Strategy:
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Structure Your Narrative: For each case study, clearly outline the problem, your role, the solution, the process you followed (including research), the challenges, and the impact.
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Visual Storytelling: Use annotated screenshots, flow diagrams, and prototypes to illustrate your design decisions and the user experience.
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Quantify Impact: Whenever possible, present metrics that demonstrate the success of your designs (e.g., increased efficiency, reduced errors, improved user satisfaction).
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Be Prepared for Deep Dives: Anticipate detailed questions about your design choices, trade-offs, and how you handled constraints.
π Enhancement Note: Interview questions will likely probe your experience with complex systems, your ability to design for novel AI interactions, and your capacity to thrive in a startup environment. Candidates should prepare to articulate their design process, demonstrate systems thinking, and connect their past experiences to the specific challenges and opportunities at Tessera Labs.
π Application Steps
To apply for this Senior Product Designer position:
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Submit your application through the Ashby application link provided.
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Curate Your Portfolio: Select 2-3 of your most relevant case studies that highlight enterprise B2B SaaS product design, complex workflows, and ideally, any AI or data-intensive product experience. Ensure your contributions and impact are clearly articulated.
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Tailor Your Resume: Highlight keywords such as "Product Design," "Interaction Design," "Enterprise Software," "B2B SaaS," "Figma," "User Research," "Systems Thinking," and any experience with AI or major ERP/CRM systems.
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Prepare Your Narrative: Be ready to walk through your portfolio case studies, clearly explaining your design process, decision-making, and the outcomes. Practice articulating your approach to designing for trust and control in AI systems.
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Research Tessera Labs: Understand their mission, the problems they solve, and their target market. Be prepared to discuss why you are a good fit for their "enterprise serious, AI forward" culture.
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
Requires 5+ years of experience in product design for enterprise products or developer tools with a strong portfolio of shipped B2B SaaS products. Must be proficient in Figma and possess strong systems-level thinking and communication skills.