Founding Engineer ($200k-$400k + Equity) at Fragment Data Technologies

Role Overview

Fragment Data Technologies is revolutionizing Fortune 500 procurement with autonomous AI agents. The company has already reached mid-7-figure ARR with $0 marketing spend, and this San Francisco-based team is hiring a Founding Engineer to build the core infrastructure that powers complex enterprise workflows.

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.

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.

Location

San Francisco, United States

Compensation

$200k-$400k + Equity

Company

Fragment Data Technologies

Pay

$200k-$400k

Schedule

TBD

Benefits

N/A

Qualifications

2-7 years of experience

Skills

High-slope generalist, ship high-quality production code, thrive in ambiguity, build 0-to-1 systems, deep technical interest in agentic infrastructure, solve messy enterprise data problems at Fortune 500 scale