GTM Engineer

Convex is the backend platform that keeps up with you and your agents. Our mission is to fundamentally change how software is built on the Internet by empowering developers to create fast, reliable, and dynamic apps without a backend team. We provide a full-stack app platform carefully designed with database, compute and backend abstractions that allow developers and LLMs to move fast but also create products that scale and remain simple over their lifetime.

Convex has assembled a team that has built and designed some of the largest platforms in the world, and scaled companies to millions in revenue and thousands of employees. We’re a group of friendly, collaborative, and passionate people that love working in-person together in our office in San Francisco. We hire primarily in SF but have a few experienced folks working remotely in certain situations.

Every week thousands of developers sign up for Convex, then start building and deploying on us. Some are kicking the tires. Some are quietly building the next big company. Your job is to help build the systems to find signal in the noise, and help us act. We’re looking for our first GTM Engineer to help us engage at just the right moment without being annoying about it. You'll design, build, and ship the workflows and data infrastructure that turn product and market signal into pipeline, plus the internal apps and tools that compound our output. You'll walk in, audit what we have, decide what's missing, and start shipping. Our users are developers, which makes this harder and more interesting than GTM engineering at most companies. Developers have antibodies against generic outbound, and the most valuable signal lives in product usage, not a lead form. We are deeply allergic to slop: the last thing the world needs is another ill-conceived cold email, and we won't ship one. Anything we send should be something a thoughtful person would be glad to receive. We’re not anti-AI by any means (helps us stay lean and move fast), and you'll be the person who keeps us on the right side of the line. The plays that work here are technical, specific, and earned, which is why we think the best version of this role is held by someone technical enough to build on Convex themselves.

Turn Convex product usage into the GTM signal it should be: model which deploys are getting serious, surface intent the moment a team crosses a threshold, and route it to the right play or the right human automatically. Build agent + human-in-the-loop outbound that's genuinely useful, and keep it from ever becoming slop. Build the AI agents and internal tools that compound the commercial team's output as we grow. Audit the stack, generate your own backlog, and know when to reach for a point-and-click tool versus building something custom. Do the unglamorous data cleanup that makes all of it trustworthy. Write a bunch of cool GTM code on Convex itself. We dogfood. Measure your results and double down on what works best. What Excites Us: A few years spent building revenue and automation systems, whether you got there through Revenue Operations, Sales Ops, growth engineering, or as a software engineer who drifted toward the commercial side. You don't need "GTM Engineer" on your resume; the title barely existed a year ago, and we care far more about what you've built than what it was called. Technical enough to build and wire systems together yourself. You don't have to be a career software engineer, but you're comfortable with APIs, data, and a bit of code (SQL, a scripting language, or TypeScript, which is what Convex itself is built in). Hands-on experience inside a modern GTM stack. Hands-on with AI in real work, not just in theory. You know where models are reliable and where they break, and you’re not afraid to fire up Claude Code or Codex to stand things up yourself rather than waiting on someone else. Systems thinking: you consider what happens at 10x volume, when an