About The Position

You build the Research Workbench — the primary interface every user interacts with. For the first client, this means department-specific research views for a crypto hedge fund. But the architecture must be modular and configurable: a different client in a different finance domain should get a different arrangement of the same components without rebuilding the frontend. You also build the feedback UI that captures the corrections and ratings driving the platform’s improvement loop. Strong product instincts are essential — there is no dedicated designer on the founding team.

Requirements

  • 4+ years frontend engineering; expert in React/Next.js and TypeScript.
  • Experience building configurable, modular UI architectures.
  • WebSocket and real-time data display experience.
  • Strong product sense — you can design information-dense interfaces without a dedicated designer.
  • Data visualisation: Recharts, D3.js, Plotly, or TradingView Lightweight Charts.
  • TailwindCSS and component library experience (shadcn/ui or similar).

Nice To Haves

  • Experience building multi-tenant SaaS frontends.
  • Experience with financial or trading interfaces.
  • Feedback collection UI patterns.
  • Crypto UX conventions (wallet addresses, transaction hashes, token metadata).

Responsibilities

  • Build the Research Workbench as a configurable, module-based interface: event analysis, document Q&A, data visualisation, alert management, and morning brief modules. Each client’s view is a configuration, not a separate codebase.
  • Build the first client’s configured views for their three research departments.
  • Build the AI chat interface with streaming responses and inline citations linked to source documents.
  • Build the feedback UI: thumbs up/down, inline correction flow (before/after capture), star ratings, citation accuracy feedback.
  • Build real-time data display via WebSocket: live prices, alerts, event feeds.
  • Build tenant-aware authentication: users see only their tenant’s data and configuration.
  • Conduct weekly user interviews with pilot researchers. Iterate rapidly based on real feedback.
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