AI GTM, Fellowship Program

AI GTM Engineer — Fellowship

Atlanta, GA | In-person | New grads or no degree required - we are NOT accepting current college students - you need to be ready to go full-time.

You've been watching the AI revolution unfold on X. You've shipped side projects with Claude, built agents that actually work, and you know the difference between a demo and a deployment. Now you want in — not as a spectator, but as someone who builds.

This role is for the rare person who can write code, craft prompts, and think like a GTM operator. You'll be a deployed engineer on the front lines of how Obvious goes to market — building complex workflow orchestrations, creating AI-powered demos that close deals, and shipping the kind of work that makes people say "wait, how did you do that?

You'll work alongside engineers and operators from Google, Netflix, Scale AI, NYU, Stanford, and Georgia Tech. You'll have access to one of the most advanced AI agent platforms in the world. And you'll be expected to use it to do things no one's done before.

This isn't a 9-to-5. It's 60-80 hour weeks of building, learning, and shipping. If that sounds exhausting, this isn't for you. If that sounds like exactly what you've been looking for — keep reading.

Build AI-powered workflows — Design and ship complex orchestrations using Obvious's agent platform. You'll automate processes, connect systems, and build things that feel like magic to end users.

Create killer demos — Build the demos that close enterprise deals. You'll take customer problems and turn them into "holy shit" moments that show what's possible with AI agents.

Prompt engineering at scale — Write prompts that actually work in production. You'll develop reusable patterns, optimize for reliability, and push the boundaries of what agents can do.

Ship GTM tooling — Build internal tools that make the sales and marketing teams faster. Automations, dashboards, integrations — whatever creates leverage.

Document and share — Write about what you build. Create content that positions Obvious as the leader in AI agents. Be part of the broader AI building community on X, Git Hub, and beyond.

Solve novel problems — Every week brings something new. You'll figure out how to do things that don't have playbooks yet — and then write the playbook for the next person.

AI-native — You've built with LLMs. Not just tutorials — real projects. You understand context windows, prompt chaining, tool use, and why agents fail. You follow the cutting edge and can separate signal from hype.

Can ship code with AI — You don't need to be a senior engineer, but you need to be dangerous with AI-coding tools.

AI intuition — You understand how to translate real world needs into software and AI-driven workflows. You can think about a customer problem and design a solution that sells itself. You know what makes a demo memorable and wildly impressive. You imagine Claude code is capable to solving just about any problem in the right hands.

Creative problem solver — You see a cool build on X and think "I could do that in Obvious." You're constantly experimenting, remixing ideas, and finding new ways to use tools.

Relentlessly hardworking — This role is intense. 60-80 hour weeks. Fast iteration cycles. High expectations. You're not looking for balance right now — you're looking to accelerate.

Builder mentality — You'd rather ship something rough than wait for permission. You learn by doing. You're energized by ambiguity and ownership.

New grad or early career — New grad or no degree — we don't care about credentials. But you can't be a current student. This is a full-time commitment. From a strong CS/engineering program, or you've been building independently and have the portfolio to prove it. Georgia Tech, Stanford, NYU, or the school of hard knocks — we care about what you've built.

The best AI tools on the planet — You'll have full access to Obvious's platform and the latest models. You'll build with technology most people only read about.

World-class teammates — You'll learn from people who've built products at the biggest tech companies and scaled startups from zero. The feedback…