We are seeking a Senior Product Designer, Design Systems to own the design infrastructure that accelerates Momentus' AI-first product strategy. This is not a maintenance role. It is a strategic, code-adjacent position at the center of how Momentus builds product. 

Components live in a shared repository. Design tokens are the source of truth. Figma, where it exists today, is the starting point for an audit, not the destination. The system you build will be LLM-readable, used by Claude as structured context, and will directly accelerate R&D velocity across six product lines. This role is for someone who understands that a well-structured design system is no longer just a design asset. It is the context layer that powers how modern product teams build with AI. 

Responsibilities

AI-First Design System

• Audit existing product-line-specific Figma libraries, then lead the migration to a component system that lives in code with tokens as the source of truth 
• Build and maintain LLM-readable system documentation, accessible to designers, engineers, and Claude 
• Own the context layer: structured prompt libraries, MCP server integration, and system artifacts that keep Claude producing consistent, on-brand, accessible output 
• Establish governance that accounts for AI-generated code, not just human-authored contributions 
• Track and report on system health metrics tied to business outcomes: product velocity, cycle time, and features shipped, alongside coverage and adoption 

AI Interaction Design

• Lead the design of Momentus' AI interaction patterns as the primary design surface, covering non-deterministic outputs, trust and transparency, agentic workflow UIs, and progressive disclosure of AI behavior 
• Define standards for how AI features look, feel, and communicate across all product lines 
• Create reusable patterns for supporting surfaces: onboarding flows, reporting and analytics interfaces, and dashboards 

Cross-Functional Influence

• Partner with Engineering to define token architecture, component APIs, and the front-end structure that makes the system scalable and AI-agent-consumable 
• Collaborate with Product Management to sequence system work against the AI-first product roadmap 
• Elevate design team capability through pairing, critique, and informal mentorship across all product lines 

Standards and Quality

• Define and uphold visual and interaction quality standards across all product lines 
• Champion accessibility to WCAG 2.2 AA, using AI tooling (automated audits, contrast checks, alt-text generation) to accelerate compliance rather than treat it as overhead 
• Contribute to design reviews with feedback grounded in system standards and AI-first principles 
• Own annual VPAT generation across all product lines, coordinating with Engineering and QA to assess conformance, document findings accurately, and publish updated reports on a defined cadence 

• Demonstrated experience building or significantly maturing a design system in a multi-product B2B SaaS environment. Years of experience matter less than evidence of outcomes at scale 
• AI-assisted workflows are your primary working mode today, specifically tools like Claude, Claude Code, and Claude Design. You can describe concretely what you shipped using them 
• Comfortable producing shippable components and contributing to a shared component repo. You do not need to be a full-stack engineer, but you cannot treat code as someone else's problem 
• Fluent in design tokens as a source-of-truth architecture, component APIs, and the front-end structures that make a system AI-agent-consumable 
• Experience designing AI interaction surfaces, including non-deterministic outputs, agentic workflows, or trust and transparency patterns 
• Strong communication and documentation skills, able to write system guidance that is as useful to an LLM as it is to a human engineer 
• Experience working in a remote, cross-functional environment 

Preferred

• Experience with shadcn, Radix, or Tailwind-based component systems 
• Familiarity with MCP servers or prompt engineering in a product development context 
• Exposure to accessibility automation workflows, axe-core, VPAT generation, or similar 
• Background in complex B2B domains: data visualization, reporting, workflow UIs, or analytics interfaces