Staff and Principal Software Engineer, Unstructured.io

Salary not provided

AWS

Kubernetes

GCP

Python

Whiteboard

Azure

Senior and Expert level

San Francisco Bay Area

3 days a week in office

Data prepping for Large Language Models

Be an early applicant

Data prepping for Large Language Models

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataMachine LearningSaaSAPI

Be an early applicant

Salary not provided

AWS

Kubernetes

GCP

Python

Whiteboard

Azure

Senior and Expert level

San Francisco Bay Area

3 days a week in office

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataMachine LearningSaaSAPI

Company mission

To give organizations access to all of their data.

Job

Company

Role

Who you are

7 to 10+ years of experience shipping production systems in high-growth, high-scale environments
Deep technical chops in Python, cloud-native systems (AWS/GCP/Azure), and distributed architectures
Proven track record of leading major technical initiatives, mentoring engineers, and shaping team culture
Passion for performance, reliability, and elegant design
Strong communication and leadership presence—you make others better

Desirable

Experience in AI/ML systems, unstructured data, or real-time pipelines
Expertise in Kubernetes, IaC, or scaling SaaS infrastructure
Startup DNA—you thrive in fast-moving environments and love turning ambiguity into action

What the job involves

This role is hybrid in San Francisco—join us in-office 3x a week for deep collaboration, whiteboard sessions, and hands-on impact
Architect the Future
Own the technical vision for some of the most complex and high-impact systems we build
Drive long-term architectural strategy that enables scale, performance, and simplicity
🦾 Be a Builder and a Multiplier
Write production-ready code and lead projects that move the needle—while mentoring engineers across the org
Set the standard for clean design, thoughtful abstractions, and scalable patterns
🔥 Tackle High-Stakes Problems
Solve deep technical challenges that others shy away from—think orchestration at scale, data flow optimization, and AI-first infrastructure
🤝 Lead Cross-Org Initiatives
Align engineering, product, and go-to-market teams around a shared technical roadmap
Unblock teams, resolve architectural escalations, and help guide us through “one-way door” decisions

Our take

Unstructured.io is tackling a prevalent challenge in AI adoption - the difficulty of integrating complex, enterprise-sized data with Large Language Models (LLMs). The company's platform provides a solution by extracting and staging all data, even that which is in difficult-to-use formats, and making it compatible with LLMs.

Thus, the startup streamlines the time-consuming data preparation process, providing tools for otherwise complex tasks like removing unwanted elements, text concatenation, and Optical Character Recognition (OCR). It also tailors processing pipelines for specific document types, addressing a critical bottleneck in AI development workflows.

In enabling the seamless integration of LLMs with enterprise data, Unstructured.io's platform has the potential to unlock substantial productivity gains. As of 2023, it boasted over 700,000 downloads, and will continue to develop its pioneering solution to the data preparation bottleneck which will be critical for addressing evolving industry demands.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Mar 2024

$40m

SERIES B

Jul 2023

$20m

SERIES A

Total funding: $65m

Company HQ

SoMa, San Francisco, CA

Leadership

Brian S. Raymond

(CEO)

Previously worked in Investment Banking at Harris Williams & Co. Prior to this they worked at The White House in the National Security Council and as an Intelligence Officer at the Central Intelligence Agency.

Matt Robinson

(Head of Product)

Previously a Machine Learning Engineer at Rebellion Defense, a Solutions Engineer/Director at Primer.ai, and a Data Science Manager at Capital One.

Crag Wolfe

(Head of Engineering)

Previously the Director of Engineering at Primer.ai. They also worked at Red Hat as a Python Developer and at Ricoh Innovations as a Web Architect.

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