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Job listing

San Francisco, United States$150K - $300K + Equity

US Founding Engineer at fast-growing AI data startup

Are you an entrepreneurial engineer ready to lead a US expansion? This well-funded AI startup is looking for a Founding Engineer in San Francisco to take end-to-end ownership of their technical stack. You'll work at the cutting edge of data infrastructure for machine learning, building the tools that help pioneering AI teams move from research to production. With a $150k-$300k salary range and significant equity, this is a rare 0-to-1 opportunity to shape the future of a high-growth platform alongside a team of industry veterans.

Overview

Role overview

As the first engineering hire in San Francisco, you will spearhead US operations for a high-growth AI platform. You will take holistic ownership of product development, building across the full stack to solve complex data challenges. This role offers the unique opportunity to shape technical architecture and influence product strategy from the ground up.

Company

About the company

Fast-growing AI data startup

Responsibilities

What you will do

  • Architect and build scalable, production-grade software and data infrastructure using Python and TypeScript.
  • Lead the development of core platform features that enable enterprises to manage complex datasets for machine learning.
  • Collaborate directly with founders to translate product vision into reliable, high-performance technical solutions.

Candidate profile

Who this is a fit for

  • Proven track record of 0-to-1 product development and maintaining complex systems from scratch.
  • Strong proficiency in modern software stacks, ideally involving Python, React, and cloud-native infrastructure.
  • Entrepreneurial mindset with the ability to thrive in ambiguous environments and drive high-impact technical decisions.

What makes it remarkable

Why this role is remarkable

  • Founding impact: You will be the primary technical driver for a new regional hub, establishing engineering culture and best practices.
  • High-stakes innovation: Work at the intersection of deep learning and data infrastructure, building tools used by leading AI development teams.
  • Strategic ownership: Enjoy total autonomy over end-to-end projects, from initial architectural design to global deployment and monitoring.

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How Jack & Jill work together

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Jill
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