Staff Software Engineer - Frontend

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. As a Staff Front End Engineer, you will be responsible for defining and owning the front-end architecture for AI-native product surfaces and collaborating with cross-functional teams to shape user experiences.

Responsibilities:

• Define and own the front-end architecture for AI-native product surfaces, including streaming interfaces, agentic workflows, and model-assisted UIs
• Establish patterns for integrating LLM APIs, real-time data streams into production front-end systems
• Drive architectural decisions that balance scalability, performance, and developer experience
• Contribute hands-on to complex feature development and support implementation across the team
• Collaborate with engineering, product, and platform teams to align on front-end standards and shared technical direction
• Partner with leadership to shape AI-driven user experiences and influence roadmap decisions
• Communicate technical concepts, trade-offs, and decisions clearly to both technical and non-technical stakeholders
• Mentor engineers and provide technical guidance to elevate front-end expertise across the organization
• Promote best practices through code reviews and technical leadership
• Establish metrics and feedback loops to improve system performance and user experience
• Troubleshoot and resolve issues across distributed front-end and service ecosystems

Requirements:

• 4+ years of front-end engineering experience
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Advanced proficiency in TypeScript and modern frontend frameworks (e.g., React)
• Proven experience building reusable frontend SDKs or internal libraries that standardize AI patterns (streaming, reasoning, tool calling, HITL)
• Solid understanding of browser-side performance bottlenecks related to long-lived web sockets, server sent events (SSE), and heavy string manipulation for real-time LLM streaming
• Experience building and scaling microfrontend architectures and front-end platforms
• Experience implementing monitoring for AI UX tracking things like TTFT, user-correction rates and client-side model latency
• Experience building interoperability between Dart and TypeScript microfrontends
• Experience authoring RFDs and technical roadmaps that align multiple product squads toward a unified frontend platform vision
• Experience working in distributed/cloud-based environments
• Proven ability to mentor engineers and elevate team-wide technical standards
• Experience in agile environments with a focus on continuous delivery