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Founding Engineer at Fragment Data Technologies
- Location
- San Francisco, United States
- Compensation
- $200k-$400k + Equity
Fragment Data Technologies is revolutionizing Fortune 500 procurement with autonomous AI agents. Having already reached mid-7-figure ARR with $0 marketing spend, this SF-based team is hiring a Founding Engineer to build the core infrastructure that powers complex enterprise workflows.
If you are a high-slope generalist with 2-7 years of experience looking for significant equity and the chance to own foundational systems alongside founders from Uber and Zoom, this is your opportunity to define the next era of enterprise AI in a high-velocity, in-office environment.
What's the next step?
This role is no longer actively hiring, but Jack can still help you discover similar open roles that fit.
Role overview
As a Founding Engineer at Fragment Data Technologies, you will architect the foundational systems for AI agents operating across complex enterprise data. You will design distributed pipelines and graph-traversal systems to resolve procurement failures end-to-end. This high-impact role involves working directly with Fortune 500 customers and shaping the technical trajectory of a high-growth startup.
About Fragment Data Technologies
Artificial Intelligence, Software · 1-10 employees
Fragment is an AI-native procurement automation platform that uses AI agents to autonomously execute and resolve sourcing workflows end-to-end. Its proprietary Autonomous Context Engine (ACE) learns enterprise systems, policies, and tribal knowledge. Fragment eliminates exceptions automatically without manual effort or up-front IT investment.
What you will do
- Design and build distributed agent pipelines processing tens of millions of data points with deterministic and multi-tenant-safe behavior.
- Engineer advanced graph traversal and indexing systems to enable fast, lossless reasoning over complex, unified data interfaces.
- Develop self-assembling workflow engines that allow AI agents to autonomously compose and execute complex procurement tasks with full traceability.
Who this is a fit for
- A high-slope generalist with 2–7 years of experience and a track record of shipping high-quality production code across the full stack.
- Proven ability to thrive in ambiguity and build 0-to-1 systems, ideally having been a founder or lead engineer at an early-stage startup.
- Deep technical interest in building robust agentic infrastructure and solving messy enterprise data problems at Fortune 500 scale.
Why this role is remarkable
- Join a high-velocity startup that has achieved mid-7-figure ARR within its first six months through organic customer references and zero CAC.
- Own the foundational engineering for autonomous agents solving trillion-dollar procurement problems for some of the world’s largest enterprises.
- Work alongside an elite founding team of AI researchers and platform engineers with leadership experience at Zoom, Uber, and Instabase.
How Jack & Jill work together
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Fragment Data Technologies wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.