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Open nowPosted 11 days ago

Software Engineer

Fragment Data Technologies6 open roles

Pay
$200,000 – $350,000 a year
Where
San Francisco
Work mode
On site
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Your applicationOpen nowSoftware EngineerFragment Data Technologies · San Francisco

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This job: posted 11 days ago

The posting

Fragment is the AI platform that autonomously streamlines procurement workflows end to end. Within a few months of launch, we signed Fortune 500 companies. Within a year of founding, our customers, all $1B+ revenue enterprises, continue to grow in number and are actively championing us to their networks, and our marketing and CAC to get here has been $0.

We're hiring Software Engineers to help build the systems that make this possible. Our team comes from enterprise AI and manufacturing and has been shipping agents in production environments since the beginning. We need engineers who want to own what they build.

Company Highlights

- The Team: Our CEO previously led and scaled three of Zoom's products past $300M in revenue, and our CTO is an ex-AI researcher who has spent his entire career in enterprise AI, leading engineering teams from seed through Series C. The broader team includes repeat VC-backed founders, Caltech PhDs, former quants, chess masters, Six Sigma Master Black Belts, and one very enthusiastic Bonsai grower.

- Product: We pride ourselves on our depth of our experience building agents, and on our continued diligence in leveraging the latest technology. We hold a high bar of excellence that starts with the founding team.

- Hypergrowth: 30x revenue growth in the first half of this year, with the majority of our pipeline coming from customer references.

Background

Deploying truly impactful AI Agents today requires teams of forward-deployed engineers, months of ontology design, hundreds of ad-hoc integrations, and thousands of lines of glue code. It’s slow, expensive, brittle, and impossible to scale.

Fragment eliminates all of that. We’ve built a platform where:

1. Ontology Agents autonomously construct the context layer, unifying structured + unstructured data, capturing tribal knowledge, and composing it all into a real-time ontology of the business.

2. Self-assembling Process Agents automate workflows that would normally be manually and tediously handled by BPOs https://www.mckinsey.com/capabilities/operations/our-insights/getting-business-process-outsourcing-right-in-a-digital-future. Our first suite of agentic workflows, which drove our early traction, targets procurement https://www.mckinsey.com/capabilities/operations/our-insights/creating-value-through-procurement-outsourcing.

Our product sits in the #1 budget priority for traditional enterprises right now: AI that streamlines labor, and actually works in production.

What You'll Do

You will design and own systems that don’t exist yet -- the foundational architecture for AI Agents operating over complex enterprise data. For example:

- Build a distributed agent pipeline that processes tens of millions of data points with deterministic, auditable, and multi-tenant-safe behavior

- Define and develop an automation editor that takes a visual-text hybrid approach to workflow development. Enable dynamic, configurable design that autonomously adapts to the processes of a customer.

- Engineer graph traversal + indexing systems enabling fast, lossless reasoning over our Unified Data Interface (UDI) and arbitrary data systems.

- Define the core framework for self-assembling agents that compose and execute workflows autonomously -- safely, predictably, and with full traceability

This is not a “feature team” role. This is foundational engineering, shaping the platform that every agent and every enterprise workflow will rely on.

Who You Are

We’re looking for a high-slope generalist with 3-7+ years of experience who gets restless when they're not building things that matter. You might describe yourself as someone who:

- Learns ridiculously fast

- Thrives in ambiguity

- Thinks in systems, not tickets

- Ships high quality work quickly

- Gets excited by messy enterprise data and hard problems

- Wants to own architecture, product, and customer impact

- Has seen high quality production code across the stack

Interested? Reach out even if you’re not sure you’re a perfect fit. High-slope engineers rarely fit cleanly on paper.

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