Software Engineer, Front-End

Superhuman

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Location: United States
Job Type: full-time
Work Format: 🌍 Remote
Salary: Not specified
Posted: September 11, 2026

Job Description

Superhuman is building the AI productivity platform that works everywhere people do — and the front-end is where it all comes together. Our Front-End engineers own the interfaces that put AI capabilities directly into users' hands: the Chrome extension and desktop app for Go (our proactive AI assistant), the editor and collaboration surfaces in Superhuman Docs, the inbox experience in Superhuman Mail, and the admin controls that let enterprises deploy it all at scale.

This isn't typical front-end work. You'll build interfaces that stream and render AI-generated content in real time, design interaction patterns for inline agent suggestions that appear while users are writing, and create the tools that let anyone build and customize their own AI agents — no code required. The craft challenges are deep: orchestrating state across browser extensions, native desktop apps, and web surfaces; making agentic workflows feel instant and fluid; and shipping a consistent experience across a product suite that reaches millions of users. Superhuman's engineers have the freedom to innovate and uncover breakthroughs - and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale AI-powered features across every surface. You can hear more from our team on our technical blog.

As a Front-End Software Engineer, you will:

Build the interfaces for AI-powered products used by millions — including real-time chat experiences, inline agent suggestions, document editors, and agent builder tools.
Design and implement rich, responsive user interfaces in React and TypeScript.
Work across the Superhuman product suite — Go, Mail, Docs, Grammarly, or enterprise.
Target high availability for consumer and enterprise customers.
Tackle hard interaction design problems: streaming content, complex state management, and multi-surface interactions.
Collaborate widely with Product, Design, and ML/AI teams to translate AI capabilities into intuitive user experiences.
Contribute to an engineering culture with a strong emphasis on documentation, testing, and user experience.
Mentor and grow junior engineers on the team.

Qualifications

At least 5 years of experience in front-end development, with expert-level knowledge of TypeScript (and/or JavaScript), HTML, and CSS, extensive experience with ReactJS (or similar UI frameworks) and modern web client development and testing tools.
Excellent software engineering fundamentals, including knowledge of algorithms and data structures.
Comfort working with AI-powered features — whether that's building UI for LLM-generated content, streaming responses, or agentic workflows. Prior experience integrating AI/ML into product surfaces is a plus.
Fluency with AI coding tools (Copilot, Cursor, Claude Code, etc.) and a point of view on how they change the way teams build software.
Experience with browser extensions, cross-platform web clients, or shipping front-end code across multiple surfaces (web, desktop, mobile) is a plus.
Deep understanding of continuous integration and delivery methods.
Strong product instincts — you care about the end-user experience and strive to ensure high quality.
Ability to work independently with minimal guidance, proactively manage priorities across multiple projects, and collaborate effectively with cross-functional teams.

We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower!

Support for you, professionally and personally

Professional Growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being
A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first, hybrid model enables a highly collaborative culture rooted in our values. We work to foster belonging among team members in a variety of ways. This includes our team member resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
Comprehensive benefits for candidates: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.

We encourage you to apply

At Superhuman, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. Superhuman is an equal opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, color, gender expression or identity, sexual orientation, sexual identity, national origin, citizenship, age, marital status, veteran status, disability status, criminal prosecution, judgment in a criminal case, or any other characteristic protected by law.

For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here.

🎯 Who is this job for?

This role is best suited for a Senior Front-End Software Engineer with at least five years of experience building production web applications.

Required skills include expert TypeScript or JavaScript, HTML, CSS, React, modern testing and CI/CD practices, algorithms and data structures, and familiarity with AI-powered interfaces, streaming content, and complex state management.

The candidate should be experienced in developing responsive, high-availability interfaces across web, desktop, or browser-extension surfaces, collaborating with Product, Design, and AI teams, mentoring junior engineers, and independently delivering user-focused features.

💬 Potential Interview Questions

How would you architect a React and TypeScript interface that consumes and renders streaming LLM responses in real time?

I would process the response as incremental events, maintain a normalized state model, and update only the affected message or content segments. I would also handle cancellation, retries, connection errors, partial content, and accessibility while avoiding excessive re-renders through batching or carefully scoped state subscriptions.

How would you model complex state across a browser extension, desktop application, and web surface?

I would separate shared domain state from platform-specific integration code and define clear boundaries for persistence, synchronization, and messaging. A typed event protocol, predictable state transitions, and explicit handling of offline or stale data would help keep behavior consistent across surfaces.

How would you implement inline AI suggestions while a user is typing in a React editor?

I would debounce requests, associate each response with the editor revision that produced it, and discard suggestions that no longer match the current document state. Suggestions should be rendered non-destructively, with clear keyboard and mouse interactions, cancellation support, and safeguards against disrupting user input.

What techniques would you use to optimize performance in a large React application with real-time updates?

I would profile before optimizing, then use component memoization, stable references, selective subscriptions, virtualization, and code splitting where appropriate. For streaming updates, I would batch state changes and isolate frequently changing content so unrelated parts of the interface do not re-render.

How would you design a reliable TypeScript data model for AI-generated content and agent workflows?

I would use discriminated unions for states such as pending, streaming, completed, cancelled, and failed, with runtime validation at API boundaries. This makes state transitions explicit and prevents untrusted or evolving server responses from causing unsafe assumptions in the UI.

How would you make an AI-powered interface resilient to network failures and interrupted streams?

I would support reconnecting with bounded exponential backoff, request cancellation, idempotent retries, and preservation of already-rendered content. The UI should clearly communicate whether an operation is streaming, paused, failed, or recoverable without blocking unrelated user actions.

How would you test a React feature that displays streamed content and supports agent actions?

I would unit test state transitions and parsing logic, component-test incremental rendering and user interactions, and use integration or end-to-end tests for network interruption, cancellation, and completion flows. Mock streams should include partial chunks, malformed data, delays, and out-of-order or duplicate events.

What security concerns would you consider when developing a browser extension that handles user data and AI responses?

I would minimize permissions, isolate content scripts from privileged extension code, validate all messages, and avoid injecting unsanitized AI-generated HTML. Sensitive data should be handled deliberately, with secure storage, strict content security policies, and careful protection against prompt injection and cross-site scripting.

How would you approach building a reusable design system across Mail, Docs, Go, and enterprise interfaces?

I would define accessible primitives, shared tokens, and composable components with stable APIs, while allowing platform-specific behavior where necessary. Visual regression tests, documentation, and compatibility guidelines would help maintain consistency without preventing product teams from iterating.

How would you structure CI/CD for a multi-surface front-end application?

I would run type checks, linting, unit tests, component tests, build validation, and security checks on every change, with parallelized jobs and caching to keep feedback fast. Deployment should use staged environments, feature flags, monitored rollouts, and an easy rollback path for web, desktop, and extension releases.

📋 Job Summary

Superhuman is building an AI productivity platform used across email, documents, desktop apps, browser extensions, and enterprise workflows. As a Front-End Software Engineer, you’ll create real-time AI interfaces, inline agent suggestions, document editors, collaboration tools, and responsive product experiences using React, TypeScript, JavaScript, HTML, and CSS. This is a full-time, fully remote role in Ukraine, offering competitive pay with salary details undisclosed, plus comprehensive benefits, home-office support, wellness stipends, and professional development. Apply to tackle meaningful AI interaction challenges, influence the product roadmap, and help shape tools used by millions.