AI GTM Engineer - Fellowship at Obvious

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

42000.0

Posted On

25 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, GTM, Coding, Prompt Engineering, Workflow Automation, Problem Solving, Creative Thinking, Collaboration

Industry

Artists and Writers

Description

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. What You'll Do 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, GitHub, 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. What We're Looking For 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. What You'll Get 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 loop is fast and the bar is high. Career-defining experience — This role compresses years of learning into months. You'll come out of it with skills, credibility, and a network that sets you up for whatever comes next. Ownership from day one — No ramp period. No shadow work. You'll ship real things that affect the business immediately. $42K stipend — This isn't a salary. It's a stipend to cover your basics while you prove yourself. The real payoff comes after: fellows who deliver will be hired into full-time roles at market rate with equity. By then, we'll have seen exactly what you can do — no guessing, no interview theater. You'll leave this program as one of the most elite AI GTM engineers in the industry, with skills that don't exist anywhere else yet. A seat at the table — You'll be in the room where decisions get made. You'll understand how GTM works, how deals close, and how companies scale. Logistics Location: Atlanta, GA (in-person required — this isn't remote-friendly) Type: Full-time Experience: New grads or no degree required. But NOT current college students — you need to be ready to go full-time. Start: Immediate How to Apply Step 1: Apply here and get access Apply here, and if approved, you'll get access to Obvious with no waitlist. Step 2: Build something impressive Use Obvious to create a project that shows what you can do. Build an AI workflow, automate something complex, create a demo that would close a deal, or solve a problem we haven't thought of yet. Push the platform. Show us you belong in this role. Step 3: Share your project Add jon+fellows@obvious.ai to your project with chat history enabled. We don't just want to see the output — we want to see the prompts, the iteration, the problem-solving. Your thought process matters as much as the result. Step 4: We'll reach out If we like what we see, we'll schedule two quick 30-minute interviews. In the first, be prepared to walk us through your project and iterate on it live. We're looking for how you think under pressure. No resume. No cover letter. Just ship something and show us. The Bottom Line The AI GTM Engineer role doesn't exist at most companies. We're inventing it here because we believe the future of go-to-market is technical, and this program is designed to produce the most elite AI-savvy technical operators in GTM. These individuals, who can bridge code, prompts, and customer value, will be extraordinarily valuable because this skillset barely exists. If you've been waiting for your way into the AI game, this is it. You'll work harder than you ever have. You'll learn faster than you thought possible. And you'll build things that actually matter. Apply now. We're hiring immediately. What you'll get at Obvious (Available for US-based full-time employees only) Competitive compensation—optimized for you and your future. Meaningful equity—you’ll own a real piece of something that could be huge. Founding team influence—your voice will shape direction. Creative freedom—evolve and steer both current and future product identity. Platform to shine—use Obvious’s reach to amplify your personal brand and design voice. Room to grow—as we scale, opportunities are limitless. In-person hackathons—we’re semi‑distributed and regularly meet in person to lock in and build together. Excellent benefits—fully covered health, vision, and dental, 401k match, parental leave, home office stipend, and more. Work comfortably—choose between a $10,000 home office makeover stipend or paid co-working spaces.

Responsibilities

The AI GTM Engineer will build AI-powered workflows, create impactful demos, and develop internal tools to enhance sales and marketing efficiency. They will also document their work and solve novel problems in a fast-paced environment.