Frontend Engineer

We're building AI employees. Not chatbots. Not copilots. Autonomous digital workers that do real jobs.

Our first, Ava, is an AI BDR used by hundreds of companies. She researches leads, writes and sends emails in a customer's voice, runs multi-step outbound sequences, manages her own deliverability infrastructure, self-optimizes over time, and handles objections and meeting booking. She's not a tool someone uses. She's a teammate.

We're a YC W24 company, have raised $35M+ from investors including Y Combinator, and are at $8M+ ARR. Right now we're building Ava 2.0, a step change in what an AI employee can do. The engineering problems are hard and the surface area is enormous.

Artisan isn't a single product. It's an entire working platform that replaces the sales stack. That means CRM, inbox, dialer, lead database, campaign engine, website visitor tracking, and AI agent management, all in one product. The frontend is where all of this comes together for the user.

The design bar is high. We build dense, information-rich interfaces with calm clarity. Think Ramp, not Salesforce. Every view needs to surface the right data without visual noise, handle complex workflows without feeling complex, and make working alongside an AI employee feel natural.

You'll own the frontend architecture and set the standard for how Artisan is built on the client side. This is a staff-level role. You won't just ship features. You'll define how the team builds UI.

What that looks like concretely:

• Multi-product frontend architecture. Artisan ships dozens of products as a unified platform. You'll build and maintain the component systems, routing, state management, and shared infrastructure that make this feel like one product, not seven.
• Real-time, data-dense interfaces. Users manage thousands of leads, monitor live AI activity, review email sequences, and track campaign performance. The UI needs to render large datasets performantly, update in real time, and remain usable les, filters, search, dashboards, activity feeds. This is the core of the product experience.
• AI-native interaction patterns. Users work alongside Ava as a teammate. That means designing and building interfaces for AI transparency (what is Ava doing and why), human-in-the-loop controls, confidence indicators, and workflows where human and AI actions interleave. There's no established playbook for this. You'll help create one.
• Design system and component library. Build and maintain a design system that enforces consistency, accelerates development, and scales across the product suite. Tight collaboration with design to translate Figma specs into production components.
• Performance and quality. Fast initial loads, smooth interactions, minimal layout shift, accessible markup. The product is used all day by salespeople who live in it. Performance is a feature.
• Developer experience. Build frontend tooling, patterns, and conventions that make other engineers faster. Code review, mentorship, documentation. You raise the bar for the whole frontend codebase.

Our stack:
Type Script, React, deployed on AWS. We ship constantly.

• 6+ years of frontend engineering experience, with a track record of building complex, data-rich web applications
• Deep expertise in Type Script and React. You don't just use them. You understand the internals, the tradeoffs, and the patterns that scale.
• You've built or maintained design systems and component libraries used across multiple product surfaces
• An eye for design quality. You care about spacing, alignment, typography, and interaction polish. You can take a Figma file and ship something that matches it exactly, or push back on design when something won't work in practice.
• Experience with real-time data (Web Sockets, polling, optimistic updates) and complex form/table UIs
• Opinions on frontend architecture, testing strategy, and code organization, grounded in experience shipping production software
• Comfortable working directly with designers and product managers to shape features, not just implement specs
• Bonus: experience building interfaces for AI products, conversational UIs, or agent-based systems
• Bonus: experience with accessibility…