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RevenueGrids2026·Frontend Engineer

RevenueGrids

AI-native outbound sales platform

RevenueGrids

Product modules

5

Ownership

Core UI

Team size

3–5

Ship cadence

Weekly

Core product UI · team of 3–5

overview

Overview

RevenueGrids is an AI-native outbound sales platform — agent workflows, prospecting, enrichment, and multi-channel outreach in one product surface.

features

Key features shipped

  • AI agent workflow builder and run monitoring
  • Prospect search, enrichment, and list management
  • Multi-channel outreach sequences (email + LinkedIn)
  • Campaign analytics and pipeline dashboards
  • Team workspace with role-based views

gallery

Product screens

Key surfaces shipped in production — layouts, flows, and UI patterns from the live product.

challenge

The challenge

The product moves fast: new agent capabilities ship weekly, data density is high, and sales teams need clarity under load. The frontend had to stay maintainable while supporting rich, stateful UI without sacrificing performance.

approach

Approach

I focused on composable feature modules, predictable data-fetch patterns, and UI that scales from empty states to dense operational dashboards. Performance budgets were treated as a product requirement, not a late audit.

contributions

What I worked on

  • Built core product UI in Next.js and React with TypeScript-first patterns
  • Structured feature areas for agent workflows, prospecting, and outreach tooling
  • Improved perceived performance with intentional loading states and layout stability
  • Partnered on design system usage so new surfaces stayed visually consistent

outcome

Outcome

Shipped production UI for a fast-moving AI sales platform with a frontend architecture that supports iteration without accumulating layout or state debt.

stack

Next.jsReactTypeScriptTailwind CSS