Staff Software Engineer, Unstructured.io
3 days a week in office
Data prepping for Large Language Models
Open for applications
Data prepping for Large Language Models
21-100 employees
Open for applications
3 days a week in office
21-100 employees
Company mission
To give organizations access to all of their data.
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
- If you're energized by hard problems, want to build products that matter, and are ready to work alongside serious builders, this is your moment
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
- We are seeking a highly experienced Staff Software Engineer as a key player, you will own organization-level architecture and product solutions, mentoring our engineering teams while solving complex software problems
- You will be instrumental in aligning teams toward coherent, scalable designs and mitigating long-term risks
- 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
- 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
- Solve deep technical challenges that others shy away from—think orchestration at scale, data flow optimization, and AI-first infrastructure
- 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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