Founding Engineer

Posted 4 Days Ago
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San Francisco, CA, USA
In-Office
120K-250K Annually
Expert/Leader
Artificial Intelligence • Software • Generative AI • Automation
The Role
Own end-to-end development of an AI-native, agentic enterprise platform. Build reliable agent systems, scope products from user needs, ship backend-heavy full-stack features, review code, and drive AI-first development. The role requires strong product sense, comfort with ambiguity, deep Go expertise, and experience building AI products or systems from scratch.
Summary Generated by Built In

About Dataleap

We raised $3M from YC and angels like Aravind (CEO Perplexity) and Rahul Vohra (Superhuman) to build the agentic operating system for the enterprise. We have thousands of agents deployed across scale-up startups and Fortune 500 companies. We have PMF and are doubling revenue every month. And we have far more enterprise inbound than we can handle.

About the role

We need someone who operates at CTO-level. Someone who can take a vague problem, scope it, build it end-to-end, and ship something that actually provides value. Backend-heavy, AI-native, able to go full stack when needed. No hand-holding. No waiting for specs. You're a full-stack engineer, an AI engineer, and a product engineer in one person. Former founder is a strong plus.

What you'll do

  • Own large parts of the product end-to-end, from user insight to production.

  • Build and improve our agentic systems. Make them more accurate, more reliable, more powerful.

  • Work at the frontier of AI engineering: context engineering, tool use, agent architectures.

  • Talk to users. Understand their pain. Scope features that actually solve problems.

  • Push AI-first development — Claude Code, coding agents, automation. You should be obsessed with scaling yourself.

  • Review code fast and maintain a high bar across the codebase.

Our stack: Go backend, Vite/TypeScript frontend.

You're a fit if

  • You're a razor-sharp engineer who solves hard problems fast with the code taste to review PRs at speed without dropping the bar.

  • You have deep product sense. You build for users, not for code's sake.

  • You love Go and care about clean, maintainable code. Backend-heavy, but not allergic to frontend.

  • You've built AI products, ideally agentic systems or AI coding tools.

  • You've built something from scratch: a startup, a side project, a feature that shipped. You thrive in ambiguity and don't need a PM to tell you what to build.

AI research background or experience at an AI coding startup is a plus. But what matters most is that you're exceptional and hungry.

What you get

  • Work alongside a brilliant design engineer who makes everything look and feel incredible.

  • A CTO and cofounder who will push you harder than anyone has before and make you grow faster than you thought possible.

  • Unlimited AI budget. We practice what we preach.

  • Generous equity and comp reflecting the outsized impact this role will have.

  • A seat at the table. This is a founding role, you'll shape the product and the company.

We're building the platform that redefines how people work. If you want to build at the frontier, reach out.

Skills Required

  • Exceptional software engineering ability and ability to solve complex problems quickly
  • Ability to independently scope, build, and ship products end-to-end
  • Strong backend engineering experience with Go
  • Full-stack development capability, including frontend work
  • Experience building AI products, preferably agentic systems or AI coding tools
  • Strong product sense and ability to understand user problems
  • Experience building a startup, side project, or product from scratch
  • Experience with agent architectures, tool use, or context engineering
  • Former founder experience
  • AI research background
  • Experience at an AI coding startup
Am I A Good Fit?
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The Company
6 Employees
Year Founded: 2023

What We Do

Dataleap builds an agentic operating system for enterprises, centered on AI employees that business teams can create and orchestrate without engineering support. Its platform enables users to automate knowledge work through agent-first interfaces, integrations with existing business tools, and human approvals for important actions. The company positions these AI coworkers as practical operators for sales, operations, HR, service, revenue, and customer-insights workflows.

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