Lead Frontend Full Stack Engineer

Job Description

We're looking for a deeply experienced frontend engineer with full-stack fluency who brings strong judgment and a thoughtful critical perspective with leadership experience. This role is not about producing baseline code quickly. Modern AI tools can do that. It's about collaboration, setting direction, making sound decisions, and driving technical quality. You will leverage AI agents as force multipliers while maintaining a high bar for correctness, maintainability, testability, and operational excellence.

Success here depends on engineering judgment-choosing the right solution, not just producing code.

We're open to leveling for exceptional candidates.

Hybrid: NYC office 3 days/week (commutable distance required)

Key Responsibilities

Take Ownership: You'll be accountable for upholding a high bar for quality through design reviews, code reviews, test strategy, and production readiness.

Collaborate cross-functionally: Partner with product, design, and fellow engineers to shape solutions, clarify tradeoffs, and deliver reliably.

Architect for change: Design and build full-stack, frontend-leaning systems that are intentionally small, composable, and resilient to evolving product requirements.

Improve Performance & Quality: Enforce architectural and operational quality, catching subtle issues that are easy to miss in fast-moving, AI-assisted development.

Champion Functional Patterns: Champion functional programming principles and immutability to reduce side effects and make systems simpler to reason through and debug.

Lead AI-assisted development: You'll use AI assistants/agents for prototyping, scaffolding, refactoring, and exploratory development, then harden the result and rigorously validate through tests, reasoning, and edge-case review.

Raise quality through testing: Build and maintain a strong automated test suite of unit, integration/contract, component/UI, and end-to-end coverage, with fast feedback loops in CI.

Salary Range for this role is $170,000 - $190,000

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

8+ years of experience building production web applications

Expert-level proficiency with TypeScript, strong experience with React, server-side rendered Next.js (or similar), and performant component-driven development (e.g. Reshaped UI)

Ability to articulate complex technical trade-offs to stakeholders and translate product vision into high-fidelity technical direction.

Demonstrated development of simple, reusable, changeable systems (with examples of refactors, platforming work, or scalable patterns).

Preference for functional programming and a deep understanding of why immutability is critical in modern frontend development.

Advanced knowledge of the testing pyramid and how to use automated tests as a safety net for rapid, iterative development.

Proven technical leadership through mentorship, delegation, and high-quality code reviews.

AI-Assisted Engineering Expectations

Hands-on experience with tools like Cursor (or equivalent AI-augmented IDEs) and all modern coding models.

Practical understanding of where AI is strong vs. where it falls short, paired with sound discernment in its application.

Ability to use AI agents to quickly project multiple approaches, compare tradeoffs, and converge on the best solution without shipping "AI-shaped" code.