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Lead Software Engineer, Front End

Location
New York, NY
Work type
Full Time · On-site
Posted
2026-08-27

Job description

What You'll Do
Build new, customer-facing products and platform services from the ground up across the full stack - from data and APIs through to the experiences customers touch.
Work AI-natively: use modern AI tooling to prototype, generate, test, and ship features across many different areas and surfaces at a pace traditional teams can't match.
Partner directly with product, design, business, and external supply/partner contacts - translating real-world business needs into technical solutions and owning them end-to-end.
Lead a portfolio of fast-moving projects and help set the engineering bar for a new team, mentoring others and raising the standard for AI-accelerated delivery.
Make pragmatic architecture decisions for systems that need to scale quickly and reliably as the vertical grows.
Utilize programming languages like JavaScript (Angular, React, Node), HTML/CSS, TypeScript and Java, open source frameworks, RESTful web services, and work on cross-browser and cross-device development

What We're Looking For
Builders who have shipped their own projects end-to-end with AI - not just code-completion, but using AI across the whole build cycle.
Engineers who move fast in ambiguous, zero-to-one environments and have launched new features at scale.
People who are comfortable owning business and partner relationships, not just tickets.

Basic Qualifications
Bachelor's Degree
At least 4 years of experience in software engineering (Internship experience does not apply)
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications
Master's Degree
7+ years of experience in at least one of the following: JavaScript, React, Angular, Node, TypeScript, or Java
3+ years of experience with AWS, Google Cloud Platform, Microsoft Azure, or another cloud service
4+ years of experience in open source frameworks
1+ years of people management experience
2+ years of experience in Agile practices
Hands-on experience building and shipping their own projects with AI end-to-end - using interactive AI tooling to spec, generate, test, and deliver, well beyond basic code completion
Experience launching new, customer-facing features at rapid scale in a fast-moving consumer or marketplace environment

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