
Job Overview
Location
Remote in the U.S.
Job Type
Full-time
Category
Product Designer
Date Posted
May 16, 2026
Full Job Description
đź“‹ Description
- • Lead the full product design lifecycle for AI-driven enterprise workflows, including user research, ideation, interaction design, high-fidelity wireframes, and interactive prototyping.
- • Design intuitive, trustworthy interfaces for complex multi-system processes that integrate SAP, Salesforce, Workday, Oracle, Snowflake, and MuleSoft, where autonomous AI agents operate alongside human oversight.
- • Create governance and audit experiences that surface agent reasoning, actions, and decision logic—enabling users to review, intervene, or override AI behavior with confidence.
- • Conduct qualitative and quantitative research with enterprise users including IT leaders, ERP administrators, and business analysts, and iterate on designs based on empirical insights.
- • Partner directly with product managers, engineers, and founding leadership to align on vision, ensure technical feasibility, and deliver high-quality, user-centered solutions.
- • Build, maintain, and evolve the Tessera Mosaic design system to ensure visual and functional consistency across all product surfaces and platforms.
- • Champion user-centric design principles across the organization by providing design critique, mentoring engineers on UX patterns, and advocating for usability at every stage of development.
- • Translate business goals and technical constraints into seamless, scalable product experiences for enterprise teams managing mission-critical automation workflows.
- • Design operational tools that empower users to monitor, manage, and troubleshoot multi-agent AI systems in real time, with clarity and control.
- • Own the end-to-end design of key product areas from initial concept through post-launch iteration, balancing innovation with enterprise reliability requirements.
- • Define and communicate design rationale clearly to cross-functional stakeholders, including non-designers, executives, and customers, ensuring alignment and buy-in.
- • Raise the standard of design craft within the company by establishing best practices for interaction patterns, accessibility, and responsiveness in data-dense environments.
- • Anticipate user needs in emerging AI-native workflows where traditional UI paradigms do not apply, and design novel solutions for human-AI collaboration.
- • Collaborate with GTM, customer success, and engineering teams simultaneously to support product launches, feedback loops, and enterprise adoption initiatives.
- • Maintain deep familiarity with enterprise systems of record and their data models to design interfaces that respect system constraints and integration realities.
🎯 Requirements
- • 5+ years of proven experience in product design, building enterprise products, developer tools, or B2B SaaS platforms
- • Strong portfolio showcasing complex, shipped products with evidence of interaction design, visual design, information architecture, and user research
- • Demonstrated systems-level thinking with ability to design coherent end-to-end experiences across multiple platforms and workflows
- • Proficiency in Figma and other industry-standard design tools
- • Excellent communication skills to articulate design decisions to engineers, product managers, founders, and customers
- • Proven track record of owning product areas end-to-end with a proactive, collaborative mindset
🏖️ Benefits
- • Build AI products that solve complex, real-world enterprise problems
- • Work at the intersection of AI, ERP systems, and automation
- • High ownership, high impact, and direct influence on product direction
- • Collaborate with a deeply technical and customer-focused team
Skills & Technologies
About Tessera Labs, Inc.
Tessera Labs provides a secure platform for developers to integrate, evaluate, and deploy large language models. Its APIs and control layer streamline access to multiple models while enforcing policy, monitoring usage, and protecting sensitive data across applications. The company focuses on governance, observability, and compliance tooling that lets enterprises adopt generative AI safely at scale.
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