Senior Engineering Manager, Unstructured.io
Data prepping for Large Language Models
Job no longer available
Data prepping for Large Language Models
21-100 employees
Job no longer available
21-100 employees
Company mission
To give organizations access to all of their data.
Role
Who you are
- 10+ years of experience in software engineering, including 3+ years leading high-performing teams
- Strong technical background in distributed systems, data infrastructure, or platform engineering
- Deep fluency in Python and cloud infrastructure (Kubernetes, Docker, AWS/GCP/Azure)
- Track record of shipping and operating complex production systems
- Experience establishing scalable delivery processes and engineering best practices
- Exceptional communication, mentorship, and problem-solving skills
- Ability to balance technical depth with execution speed
Desirable
- Experience working with or building for LLM, RAG, or GenAI systems
- Familiarity with modern data processing frameworks (Spark, Ray, Dask) or orchestration tools (Airflow, Prefect)
- Experience in open-source or early-stage, high-growth startup environments
What the job involves
- We’re looking for a Senior Engineering Manager to lead a team of exceptional engineers building and scaling Unstructured’s core data and infrastructure systems
- You’ll be both a technical leader and execution driver—someone who can dive into architecture and code reviews, while also establishing the processes that keep teams delivering at startup speed with enterprise-grade reliability
- You’ll report to the Head of Infrastructure and Engineering, working closely with product and platform teams to drive technical excellence, delivery discipline, and continuous improvement across the engineering organization
- Lead, mentor, and grow a team of backend engineers working across data ingestion, transformation, and orchestration systems
- Stay hands-on—review designs, guide architecture decisions, and contribute to code in Python and Kubernetes environments when needed
- Partner with the Head of Infra & Eng to define technical roadmaps, delivery milestones, and success metrics
- Establish lightweight, high-impact engineering processes that improve reliability, speed, and quality (CI/CD, testing, code review)
- Drive clarity and accountability across projects, ensuring alignment between engineering, product, and customer outcomes
- Foster a culture of technical excellence, ownership, and operational rigor
- Support recruiting, onboarding, and the ongoing growth of top engineering talent
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's platform has the potential to unlock substantial productivity gains. As of March 2024, its open-source library has been download more than 6M times and by 2025, the total user base has grown significantly, with over 65,000 organizations now leveraging Unstructured tools. The company continues to develop its solution to the data-preparation bottleneck, a crucial component in meeting the evolving demands of enterprise-scale LLM deployments.
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
(Founder & 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.
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