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

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.

The next step is to speak to Jack.

Job Title

Founding Engineer

Salary

$200k-$400k + Equity

Company Description

Fragment Data Technologies is a San Francisco-based AI startup building autonomous agents that resolve procurement exceptions for Fortune 500 enterprises. Founded by platform veterans from Uber, Instabase, and Zoom, the company has scaled to mid-7-figure ARR with zero marketing spend, serving global customers who rely on their agents to navigate complex, large-scale workflows.

Job Description

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.

Location

San Francisco, USA

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.

The ideal candidate

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.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

Jill is the AI recruiter working for the company. She recruits from Jack's network.

If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.