Sr. Front-End Engineer
St Labs
| Company | St Labs |
| Category | Engineering |
| Location | New York City |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 22 Jan 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
Standard Template Labs is an AI-native, seed stage startup reimagining the future of IT Service and Configuration Management. Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems.
The Role
We are seeking a Senior Front-End Engineer (AI-First) to join our small but growing engineering team. In this role, you’ll own and shape the user-facing product end to end: designing and building polished, high-performance interfaces, setting front-end technical direction, and leveraging AI-driven tools to accelerate development. You’ll partner closely with Product, Design, and Backend Engineering to turn complex enterprise workflows into intuitive, scalable front-end experiences.
This is a hands-on senior role with real ownership - ideal for someone who enjoys building, mentoring through example, and raising the bar for front-end quality across the product.
What You’ll Do
- Own the front-end architecture for core product surfaces, making thoughtful decisions around state management, data fetching, performance, and scalability.
- Build responsive, accessible, and high-performance UIs using modern front-end technologies (e.g. React, Next.js, TypeScript).
- Design, develop, and evolve a shared component library / design system, ensuring consistency, usability, and maintainability as the product grows.
- Collaborate closely with backend engineers to define API contracts (REST / SSE / GraphQL) and ensure smooth, efficient data flow between frontend and backend.
- Build AI-first, realtime user experiences, including streaming and interactive components that respond dynamically to backend and model outputs.
- Leverage AI-assisted development tools (code generation, refactoring, testing, linting, review) as a core part of your workflow to increase velocity while maintaining high code quality.
- Partner deeply with Product and Design to translate UX concepts and wireframes into production-ready features, proactively identifying edge cases, trade-offs, and implementation risks.
- Drive performance, accessibility, and quality across the front-end stack (load times, responsiveness, cross-browser support, a11y).
- Set and uphold high engineering standards: write clean, testable code; lead by example in code reviews; help define front-end best practices and patterns.
What We’re Looking For
Required / Core Skills
- Several years of professional front-end engineering experience (or equivalent), with deep hands-on experience building production applications using modern JavaScript / TypeScript frameworks (e.g. React, Next.js).
- Strong mastery of HTML, CSS, and modern styling approaches (CSS-in-JS, design tokens, component-based styling), with a deep understanding of browser behavior, layout, and performance.
- Proven experience owning and evolving complex front-end systems, not just implementing features.
- Experience integrating with backend APIs (REST / GraphQL / streaming APIs) and collaborating closely with backend teams on system design.
- Experience building or supporting realtime, streaming, or AI-driven UI components.
- Strong product and UX instincts - comfortable working with designers and product managers to refine flows, interactions, and edge cases.
- High standards for code quality and maintainability; experience with testing strategies, CI/CD workflows, and version control (Git).
- Strong interest in - and comfort with - AI-augmented engineering workflows, using AI tools to accelerate development without sacrificing correctness or quality.
Nice-to-Have / Preferred
- Experience building conversational or chat-based interfaces, including managing complex client-side state, streaming responses, and dynamic message flows (e.g. ChatGPT-style UIs).
- Prior ownership of a design system or shared component library used by multiple engineers or teams.
- Deep experience w
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