Principal Software Engineer, Unstructured.io
$190-300k
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
$190-300k
3 days a week in office
21-100 employees
Company mission
To give organizations access to all of their data.
Role
Who you are
- 10+ years of software engineering experience with a strong record of building and shipping complex systems
- Expertise in software architecture, design patterns, and system-level thinking
- Expertise in Python and experience with modern programming frameworks
- Proven leadership driving multi-team initiatives, mentoring engineers, and influencing senior stakeholders
- Exceptional problem-solving skills and the ability to simplify complexity
- Excellent communication—you bring clarity and confidence to technical discussions across audiences
- Thrives in fast-paced, ambiguous environments and builds structure where none exists
Desirable
- Experience in generative AI, ML infrastructure, or unstructured data processing
- Background in cloud-native architectures (AWS/GCP), large-scale systems, or developer platform tooling
- History of growing engineering orgs or mentoring early-career engineers
What the job involves
- We're looking for a deeply experienced technical leader to own org-wide architecture, guide strategic projects, and mentor our engineers while driving high-impact software development
- Lead the architecture and design of core product systems, ensuring alignment with our long-term vision and business needs
- Define and evolve technical direction across teams, setting the standard for scale, performance, and quality
- Own cross-functional, high-impact initiatives that shape the future of our products
- Provide technical direction across teams and projects while delivering production-ready, strategic code
- Tackle complex, persistent software challenges that span systems and teams
- Set new standards for engineering excellence through scalable, elegant solutions
- Mentor engineers and foster a culture of technical excellence and collaboration
- Act as a force multiplier—raising the bar on architecture, design, and implementation across the org
- Ensure product and engineering teams are aligned on coherent design patterns and long-term decisions
- Resolve escalations, identify risks, and guide us through critical “one-way door” decisions
- Shape how we build software now and in the future
- Influence key architectural decisions that impact our software offerings, developer experience, and go-to-market velocity
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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