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Frontend Engineering Lead

New York / London
$140k-$200k + Equity
Full-time

About Finster AI

This is a direct application for Finster AI. You will be interviewing directly for this specific role.

Finster AI

Finster AI

Series A • AI/Fintech • New York

About the Role

We are seeking a talented and passionate Frontend Engineering Lead to join our growing team and help shape the future of AI design principles. Finster AI is a Series A stage firm, redefining the future of finance with our AI-native research and task automation platform. Founded by a team of experts from Google DeepMind, Meta AI, and J.P. Morgan, we provide cutting-edge solutions to help finance professionals unlock unique insights. You will thrive here if you are comfortable with ambiguity, enjoy a fast-paced environment, and want to shape the commercial and operational foundation of a rapidly scaling company.

What You'll Do

  • Lead and manage a team of front-end engineers, fostering growth.
  • Build, optimize, and maintain responsive, accessible front-end applications.
  • Define and implement design systems and component libraries.
  • Collaborate with product, design, and engineering leadership on roadmap.
  • Partner with designers to turn prototypes into seamless user experiences.
  • Champion quality through testing, performance optimization, and security practices.

Requirements

  • 8+ years of professional front-end engineering experience.
  • 2+ years in a technical leadership role with people management.
  • Expertise with React, Next.js, TypeScript, and modern front-end tooling.
  • Deep understanding of state management and performance optimization.
  • Experience leading technical discussions and setting architecture direction.
  • Startup-friendly mindset: comfortable with ambiguity and rapid iteration.
  • Experience with data visualization frameworks (e.g., AG Grid, D3) is a plus.

The Interview

This role requires a 30-minute technical interview. Here's what you can expect:

  • Resume Deep Dive: Detailed walkthrough of your past experience.
  • Technical Case Study: Short case study on a technical topic.
  • Operating Case Study: Short case study on an operating topic.

Application Process

01

Upload Resume

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02

Take Interview

Complete a single 30-minute AI technical interview session

03

Get Offers

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04

Get Feedback

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