Sr. Frontend Engineer

WorkBoard

About The Position

WorkBoard’s Strategy Execution Platform powers the digital operating rhythm for companies around the globe, providing organization-wide clarity, alignment, and insights for growth. AstraZeneca, Ford, 3M, Intel and many others rely on WorkBoard’s platform, playbook, and expertise to accelerate results by aligning OKRs, simplifying business reviews and scorecards, focusing weeklies on outcomes, and leveraging analytics – all with embedded AI. More than 15,000 people are certified in WorkBoard’s OKR coaching and Outcome Mindset Methodology™ which enables their organizations to quickly gain the agility OKRs can provide. Based in Silicon Valley and founded in 2013, WorkBoard investors include Andreessen Horowitz, SoftBank, GGV Capital, Workday Ventures, M12 (Microsoft), Intel Capital, Silicon Valley Bank, and Capital One. As a Senior Frontend Engineer, you will play a critical role in shaping the technical direction of our platform's user experience. You will lead the design and delivery of high-quality, performant, and scalable frontend systems — while collaborating closely with backend engineers to contribute across the full stack when needed. Beyond hands-on development, you will serve as a technical leader: guiding component architecture, mentoring engineers, and driving initiatives that raise the bar for UI quality and frontend engineering practices. This role requires strong ownership, deep problem-solving skills, and excellent communication. You will operate in a small, highly collaborative team where clarity, accountability, and impact matter. Hands-on experience building AI-powered features and using AI tools to improve engineering productivity is required.

Requirements

7+ years of professional software engineering experience, with a strong focus on building and owning modern frontend applications
Deep expertise in React and modern JavaScript/TypeScript, including component architecture, state management, and frontend application design
Experience using AI-assisted development tools such as Claude Code or Cursor to accelerate frontend development and improve engineering productivity
Strong product and design sensibility, with a high bar for UI quality, usability, consistency, and craft
Proven track record designing frontend architectures that scale across teams, products, and complex user workflows
Strong knowledge of performance optimization, accessibility, responsive design, and modern frontend best practices
Deep debugging and problem-solving skills in browser-based applications, with the ability to quickly identify and resolve issues across frontend-backend boundaries
Proficiency with GitHub-based development workflows, including pull requests, code review practices, branching strategy, and CI/CD automation using GitHub Actions
Ability to work effectively with backend systems and APIs, contributing where needed while keeping frontend excellence as the primary focus
Experience as a technical leader who can drive frontend direction, mentor engineers, and raise the quality bar across the team
Excellent communication skills and the ability to work closely with design, product, and engineering partners

Nice To Haves

Experience building or integrating AI-powered features
Familiarity with LangGraph, LangChain, or similar agent-based frameworks
Experience with data-rich UIs: dashboards, analytics, or complex data visualization
Background in design systems or shared component libraries
Experience with Cypress or end-to-end testing frameworks
Background in DevOps and CI/CD practices

Responsibilities

Lead by example: contribute high-quality React code and set the standard for frontend craftsmanship across the platform
Shape architecture: design scalable component systems, state management patterns, and frontend infrastructure that support long-term growth
Mentor engineers: coach and support teammates through code reviews, design discussions, and problem-solving
Own complex problems: drive investigation, debugging, and resolution of performance, rendering, and scalability challenges
Drive execution: translate product and design requirements into clear technical designs and well-scoped Jira tickets
Collaborate cross-functionally: work closely with product, design, and backend partners to deliver impactful, end-to-end solutions
Establish best practices: improve standards around code quality, accessibility, performance, and reliability
Champion improvement: introduce new tools, patterns, or approaches — including AI-enabled workflows — where they add real value