Senior Technical Support Engineer, Unstructured.io

West Coast

Salary not provided

Plus equity

AWS

Docker

Kubernetes

GCP

Python

Terraform

Azure

Prometheus

Grafana

Datadog

Pulumi

DevOps

Mid and Senior level

Remote from US

More information about location

Data prepping for Large Language Models

Open for applications

Data prepping for Large Language Models

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataMachine LearningSaaSAPI

Open for applications

Salary not provided

Plus equity

AWS

Docker

Kubernetes

GCP

Python

Terraform

Azure

Prometheus

Grafana

Datadog

Pulumi

DevOps

Mid and Senior level

Remote from US

More information about location

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataMachine LearningSaaSAPI

Company mission

To give organizations access to all of their data.

Job

Company

Role

Who you are

5+ years in Technical Support, SRE, DevOps, or similar roles supporting production systems
Strong experience with cloud environments (AWS, GCP, or Azure), especially VPC networking
Hands-on experience with Kubernetes and Docker
Proficiency in Python skills for scripting, API integration, and automation
Proven ability to debug production or distributed systems end-to-end
Comfortable working with APIs, logs, and system-level debugging tools
Strong communicator who can work effectively with both engineers and customer teams
High ownership, strong troubleshooting instincts, and ability to operate in ambiguous, fast-moving environments

Desirable

Experience supporting self-hosted or single-tenant deployments
Familiarity with Terraform, Pulumi or other IaC tools
Experience with observability tools (Datadog, Prometheus, Grafana)
Python or scripting experience for debugging and automation
Exposure to data pipelines, ETL workflows, or AI/LLM systems
Experience working in early-stage or high-growth startups

What the job involves

As a Technical Support Engineer, you’ll work directly with enterprise customers to troubleshoot issues across cloud infrastructure, Kubernetes, networking, and data pipelines
This is not SaaS support, you’ll be operating inside complex, customer-owned environments and partnering closely with Engineering to resolve root causes
Triage and resolve customer issues across VPC deployments, APIs, and data pipelines
Debug production systems using logs, metrics, and system-level analysis
Reproduce issues and drive them to resolution with Engineering
Help customers operate Unstructured in AWS, GCP, or Azure environments
Troubleshoot Kubernetes, Docker, networking (VPC, private endpoints), and IAM issues
Guide customers on running reliable, production-grade deployments
Investigate issues across document processing pipelines and API behavior
Identify root causes, not just workarounds, and validate fixes
Work closely with Engineering, Forward Deployed Engineers, and Solutions on escalations and blockers
Act as the voice of the customer for enterprise deployments
Build runbooks, troubleshooting guides, and internal tooling
Identify patterns and drive improvements in reliability and supportability

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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