Staff Frontend Engineer

About the Job

Assured is on a mission to modernize insurance. Claims processing (i.e., should we pay this claim?), while often overlooked, is the foundation of the entire industry. It's currently highly manual, involving phone calls, faxes, and gut instinct, costing tens of billions of dollars a year. We can do better.

Our Mission

At Assured, we provide large insurers with the software solutions they need to win in a modern, technology-driven world. From self-service claim-filing software to backend fraud detection, we're the engine that powers claims processing for some of the largest insurers in the world.

The challenges we face are deep and diverse: creating digital experiences that provide comfort and clarity to claimants at their most stressed and vulnerable; orchestrating large-scale ML-driven decision-making on billions of dollars of claims payments. Life at Assured is dynamic, collaborative, and rewarding.

Role Overview

We're looking for a Staff Frontend Engineer to help define the future of our B2B SaaS platform through exceptional user experiences, scalable frontend architecture, and AI-native product development workflows. This is a highly hands-on, high-impact role for an engineer who operates at the intersection of design, engineering, and product thinking.

You'll own critical areas of our frontend platform, shape interaction and UI standards, and help establish how modern AI-assisted engineering accelerates both product quality and development velocity. We're looking for someone who obsesses over usability and polish, thinks in systems, and uses AI tooling as a core part of how they prototype, build, refine, and ship software.

What You'll Do

• Own major areas of the frontend architecture, driving decisions around scalability, performance, maintainability, and user experience consistency across the platform.
• Use AI-assisted development tools (e.g., Cursor, Claude Code, Copilot, ChatGPT, v0, or similar) as part of your daily workflow to accelerate UI development, prototyping, debugging, testing, and iteration.
• Help define how AI can improve both our product experience and our internal frontend engineering workflows.
• Design and implement polished, production-ready interfaces, taking ideas from rough concepts and prototypes to refined customer experiences.
• Write, test, and ship high-quality frontend code with a strong focus on responsiveness, accessibility, performance, and maintainability.
• Architect reusable UI systems, component libraries, and frontend abstractions that enable fast, consistent product development at scale.
• Partner closely with design, product, backend, and data teams to deliver cohesive, customer-centered workflows and experiences.
• Use customer feedback, analytics, experimentation, and usage insights to continuously improve product usability and interaction quality.
• Mentor engineers and help establish a strong frontend engineering culture centered around craftsmanship, speed, ownership, and modern tooling.

What You Bring

• Extensive experience building and scaling complex modern web applications and frontend systems.
• Deep expertise in frontend architecture, component systems, state management, performance optimization, and production-quality software delivery.
• Strong proficiency with modern AI engineering and design tooling. You actively use AI to accelerate development, prototype interfaces, generate ideas, debug issues, and improve workflow efficiency.
• Exceptional design sensibility. You care deeply about UX quality, accessibility, interaction design, responsiveness, and visual precision.
• Systems thinking and frontend platform experience. You know how to design scalable UI architectures and maintain consistency across large products and teams.
• Strong execution mindset with the ability to move quickly while maintaining high standards for quality and maintainability.
• Collaborative, low-ego approach. You work effectively across engineering, design, and product teams and communicate ideas clearly.
• We value adaptability, product thinking, and engineering judgment more than experience with any specific framework or library.