Lead Frontend Engineer - Engine

About Gen:

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we’d love you to be part of Gen.

About the Role:

Engine by Gen partners with leading Financial Institutions to surface the richest, most

comprehensive set of personalized financial product offers to the consumer. We are

looking for an experienced Lead Engineer to support our world-class financial products

marketplace.

We’re looking for a deeply experienced front-end engineer with full-stack fluency who

brings strong judgment and a thoughtful critical perspective. 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.

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.

About You:

• Bachelor’s degree in computer science or engineering, or a related field.

• 10+ years of experience building production web applications and 2+ years as a Principal Engineer.

• 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).

• Deep understanding and experience with of the orchestration and composition of calls across multiple services

• 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 software development.

• Advanced knowledge of the testing pyramid and how to use automated tests as a safety net for