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Jinba

Founding Design Engineer

San Francisco / US / CA · Not specified

Annual base salary
$150k – $250k USD
Equity
Not disclosed
Commitment
Full Time
Company stage
Not disclosed

Compensation as listed

$150K - $250K

About Jinba

Jinba lets enterprise teams vibe-code AI workflows instead of drag and drop. Describe what you need in plain language, and your whole company can start using it immediately. No engineers required. Enterprise-grade permissions, audit logging, and on-prem deployment built in. We serve 40,000+ daily enterprise users at major financial institutions including Fortune Global 500 companies in banking, insurance, and manufacturing.

About the role

Design engineer who owns the full visual and interactive experience of Jinba's platform. You'll build our design system from the ground up, create motion that makes complex workflows feel intuitive, and ship production code alongside the engineering team. This is a founding design role for someone who wants to shape how enterprise users interact with AI-native software.

Responsibilities

  • Design and build Jinba's design system: components, tokens, patterns, and documentation
  • Own UI/UX for core product surfaces, from concept through implementation
  • Create motion design that guides users through workflow creation and execution
  • Write clean, maintainable frontend code (we use shadcn/ui and modern React patterns)
  • Collaborate directly with engineering to ship features, not just hand off specs
  • Establish design processes and standards as the first dedicated design hire

Design Skills

  • Strong product design sense with portfolio showing end-to-end ownership
  • Experience building or significantly contributing to a design system
  • Motion design ability: you understand timing, easing, and how animation communicates state

Technical Ability

  • Proficient in React/TypeScript; you ship your own designs
  • Familiar with component libraries like shadcn/ui, Radix, or similar
  • Understanding of design tokens, CSS architecture, and scalable frontend patterns

Product Context

  • Experience with developer tools, no-code platforms, or workflow/automation products
  • Comfort designing complex interfaces: canvas editors, drag-and-drop builders, multi-step flows
  • Ability to simplify dense functionality without dumbing it down

Strong Signals

  • Design engineer or founding designer roles at early-stage startups
  • Experience at companies like Figma, Linear, Notion, Retool, Vercel, or similar dev/productivity tools
  • Built a design system from scratch at a growing company
  • Background combining design and engineering

Mindset

  • Generalist: you'd rather own the whole surface than perfect one component forever
  • Opinionated but collaborative: you have strong taste and can articulate why
  • Early-stage ready: you're excited by ambiguity and building foundations others will use

Technology

Jinba is a vibe-coding platform that compiles natural language into production-grade workflow code, deployed instantly as APIs, MCP servers, webhooks, or cron jobs. The core challenge is constrained code generation for the enterprise: translating ambiguous business intent into deterministic, auditable execution graphs that integrate with arbitrary enterprise systems (Salesforce, SAP, internal APIs), all while enforcing compliance constraints at the code generation level. Errors here have real financial consequences. On the infra side, we serve 40,000+ daily users at Fortune Global 500 companies, which means multi-tenant isolation with on-prem deployment, sub-second workflow execution, audit-grade observability, and hybrid AI model orchestration across AWS Bedrock, Azure AI, OpenAI, and self-hosted models. Our frontend is modern React with shadcn/ui, and we're one of the earliest platforms treating MCP as a first-class deployment target. If you want to work on problems at the intersection of AI, compilers, and enterprise infrastructure, we're hiring.

Source: Y Combinator. Confirm availability with the employer.

Apply through the original posting.

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