Frontend Engineering Lead
About Finster AI
This is a direct application for Finster AI. You will be interviewing directly for this specific role.
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
Upload Resume
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Take Interview
Complete a single 30-minute AI technical interview session
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