About Us

Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.
We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 120-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.
We love open sourcing our code and ideas on our GitHub and on The Making of Close, our behind-the-scenes Product & Engineering blog. Check out our open source projects like close-mongo-ops-manager, SocketShark, TaskTiger, LimitLion and ciso8601.
AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we're embracing and find deeply exciting.

The Growth team owns the surfaces that turn someone who just signed up into a paying customer who sticks around — onboarding, activation, billing and checkout. The operating mode is simple: find the fastest path to learning, ship it, then standardize and clean up. The Growth team ships in weeks what other teams might take months to do.

Two of our exciting projects right now:

• Agent-forward experience. We're exploring how agents and AI can make the experience better for our customers and demonstrate the value of Close faster. Our focus is helping users get real value from the product, not just automating on their behalf.

• Creating data from unstructured sources. We're building ways to turn the information customers already have, like their inbox, into a working CRM, so they can skip the manual data entry and see value from Close faster.

One thing to know up front: we do move people between teams as the work shifts. Most engineers here end up on more than one team over their time at Close.

You are

• A seasoned frontend engineer. React is our bread and butter, but perhaps you've worked across Vue, Svelte, or Solid. You pick the right tool for the problem rather than retreating to what you know. You've seen a variety of problems, can collaborate and self-direct.

• Fluent in experimentation. You understand what data points to capture in an experiment, what a funnel looks like, and how to design a feature so it produces meaningful data — not just ship it and hope. This is the core of the role.

• Experienced with B2B experiment structure. A strong bonus: you've worked in Amplitude on the implementation side, not just the technical configuration side.

• Building AI-powered interfaces. You've shipped LLM-backed features for real users and have an opinion on where they're trustworthy, where they fall over, and how to make them feel reliable. You know how to design for streamed responses, uncertain states, and agent-driven UIs.

• Working with AI daily. You use AI tools in your own workflow to ship faster, write tighter code, and reason about unfamiliar parts of the codebase. We fund the use of AI tools (Claude Code, Codex, and other best-in-class developer tools) and treat learning and experimentation as part of the work.

• A builder first. You'd rather get the first iteration of a feature in front of fifty customers than spend three weeks fretting over a perfect PR. You ship — and you're comfortable standardizing and cleaning up after the learning lands.

You will

• Build agent-forward onboarding. An agent that teaches by doing: clicking around, highlighting, demonstrating the app while it talks to the user. You'll own the UI layer that makes an agent feel like a trainer instead of a chat window — and help find the balance between the agent doing everything and the user learning enough to make Close's workflow their own.

• Turn an inbox into a CRM. Build the experience around our unstructured-data pipeline: a use