Senior Product Designer

Role overview Contribute to an emerging AI agentic platform as a Senior Product Designer embedded in a central design organization. The role shapes how technical users build, evaluate, and trust AI agents across command-line, web, console, onboarding, and documentation surfaces, in a category that is brand new and fast-moving. Responsibilities Partner with product and engineering to set product direction, frame ambiguous problems into clear opportunities and design hypotheses, and break complex efforts into executable units of work. Prototype in code alongside engineers so technical constraints inform design choices and accelerate decisions. Own visual and interaction design across every surface, evolving a style guide and design system and contributing reusable patterns for the broader product family. Run user research, workshops, usability studies, and product analytics analyses, turning dense information into clarifying visualizations for varied user archetypes. Collaborate across business units and go-to-market teams, with occasional travel for in-person work. Requirements Around six or more years designing interfaces for complex technical domains such as developer tools, enterprise software, security, infrastructure, or AI, with strong visual and interaction craft. Working knowledge of AI and agentic products and the ability to make intricate technical workflows understandable without oversimplifying. Fluency with Figma and modern AI design tools, plus comfort prototyping in code and reasoning with engineers about technical constraints. Hands‑on user research experience, including usability studies, contextual inquiry, and surveys, paired with product sense that ties user needs to business and technical outcomes. Track record of designing for early‑stage products in fast, ambiguous, high‑autonomy environments, with strong communication and stakeholder skills. Nice to have Experience designing developer tools, command-line experiences, or open-source products. Familiarity with emerging machine learning workflows or agentic frameworks. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Benefits and work setup Competitive base salary commensurate with experience, plus equity and performance-based incentives. Comprehensive health, dental, and vision coverage, 401(k) with company match, and generous parental leave. Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery. Mentorship from senior scientific and executive leadership, exposure to major funded programs, and dedicated learning budgets for ongoing development. #J-18808-Ljbffr SandboxAQ