Front-End Engineering Lead: AI-Native, Scalable Web

Condé Nast Germany

New York (NY)

On-site

USD 210,000 - 240,000

Full time

14 days+

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Job summary

Condé Nast in New York seeks an engineering leader to own the delivery of best-in-class customer experiences across our web framework and consumer-facing surfaces. You will guide architecture, oversee a globally distributed team and partner with product, design and editorial colleagues.

This role balances long-term architecture with timely delivery, promotes AI-native practices, and ensures health and performance of the platform while maintaining reader focus and high editorial standards.

Qualifications

  • Proven experience leading and growing engineering teams delivering consumer-facing web at scale.
  • Track record of managing distributed teams across multiple locations and time zones.
  • Strong hands-on credibility in modern front-end / web platform engineering.
  • Ability to align product, design and editorial partners with engineering plans.
  • Experience driving AI-native ways of working within a team.

Responsibilities

  • Lead, grow and develop the Web applications team across locations, ensuring delivery and quality.
  • Own the team's roadmap and translate goals into credible, sequenced plans.
  • Set quality benchmarks and maintain momentum while reviewing technical decisions.
  • Collaborate with product, design and editorial partners across time zones and regions.

Skills

Engineering leadership
Distributed teams
Front-end / web platform engineering
Cross-functional partnership
AI-native delivery
Communication

Tools

JavaScript
TypeScript
React
Astro
Node.js
GraphQL
REST
AWS
Docker
Kubernetes
CDN/Edge

Job description

Condé Nast in New York seeks an engineering leader to own the delivery of best-in-class customer experiences across our web framework and consumer-facing surfaces. You will guide architecture, oversee a globally distributed team and partner with product, design and editorial colleagues.

This role balances long-term architecture with timely delivery, promotes AI-native practices, and ensures health and performance of the platform while maintaining reader focus and high editorial standards.

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