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RevenueGrids2026·Frontend Engineer

RevenueGrids

AI-native outbound sales platform

RevenueGrids
Problem

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

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.

Results

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

Product modules5OwnershipCore UI
Tech
Next.jsReactTypeScriptTailwind CSS

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

Problem

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

Results

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

metrics

Results metrics

Product modules

5

Ownership

Core UI

Team size

3–5

Ship cadence

Weekly

Core product UI · team of 3–5

stack

Next.jsReactTypeScriptTailwind CSS

Portfolio

Building thoughtful digital products with a focus on performance, accessibility, and craft.

WorkAboutContact© 2026 Matija Alilović