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Unstructured TechnologiesUT

Global Support Manager

Unstructured.io is a company that specializes in transforming unstructured data from various formats into LLM-ready data, enabling enterprises to leverage their internal data for AI applications.

Unstructured Technologies

Employee count: 51-200

United States only

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About Us

Unstructured is defining the standard for enterprise data transformation in the age of LLMs and GenAI. In just two years, we’ve raised over $65M from world-class investors, including Menlo Ventures, Bain Capital, Databricks, Nvidia, Microsoft, and IBM.
Our open-source toolkit has been downloaded 52M+ times with adoption by 50,000+ companies, including nearly half of the Fortune 500. We’re powering production AI workflows across commercial and federal sectors—transforming PDFs, emails, images, and more into AI-ready data at scale.
We’re not just building tooling, we’re building infrastructure to unlock intelligence across industries.
This role is Remote - United States

About the Role

We’re hiring a Global Support Manager to build and lead Unstructured’s global customer support function from the ground up. This is a true builder role: you’ll design the operating model, hire and develop small, high‑impact regional support teams (initially ~2 engineers per region across the Americas, EMEA, and APJ), and establish the processes, tooling, and culture needed to support enterprise customers running mission‑critical AI and data workloads.
You will balance strategic ownership with hands-on execution—setting the long‑term vision for global support while remaining close to customers, incidents, and escalations. You’ll partner closely with Engineering, Product, Sales, and Security to ensure fast resolution, strong feedback loops, and a world‑class enterprise support experience.

What You’ll Do

Build and Scale Global Support

Design and implement Unstructured’s global support strategy, operating model, and coverage plan across time zones.
Hire, onboard, and manage small regional support teams in the Americas, EMEA, and APJ.
Define clear roles, on‑call rotations, escalation paths, and follow‑the‑sun coverage.
Establish a strong team culture focused on ownership, customer empathy, and operational excellence.

Own Enterprise Support Operations

Build and run day‑to‑day support operations, including ticket triage, prioritization, SLAs/SLOs, and customer communications.
Act as the senior escalation point for complex or high‑severity customer issues.
Ensure consistent, high‑quality support experiences across regions.
Partner with Security, Legal, and Compliance teams on customer incidents and enterprise requirements.

Define Processes, Tooling, and Metrics

Review and evaluate existing support tooling (e.g., ticketing, on‑call, knowledge base, customer communications).
Define and track key support metrics (e.g., response time, resolution time, customer satisfaction, backlog health).
Create runbooks, incident management processes, and post‑incident review practices.
Build internal and external knowledge bases to scale support efficiency.

Partner Cross‑Functionally

Work closely with Engineering to drive efficient debugging, root‑cause analysis, and durable fixes.
Establish strong feedback loops with Product to surface recurring issues, feature gaps, and customer insights.
Collaborate with Sales and Customer Success on onboarding, renewals, and enterprise escalations.
Support pre‑sales and onboarding motions by defining support expectations and readiness for enterprise customers.

Be Hands‑On When It Matters

Jump into tickets, incidents, and customer calls as needed—especially early on and during critical events.
Lead major incident responses, including customer updates and internal coordination.
Set the standard for technical depth, responsiveness, and customer trust.

What You Bring

8+ years in customer support, technical support, site reliability, or customer engineering roles within an enterprise SaaS environment.
Proven experience building and scaling a support organization from scratch or through early growth stages.
Experience managing globally distributed teams across multiple time zones.
Strong technical background with the ability to understand and troubleshoot complex systems (cloud infrastructure, APIs, data pipelines, or developer‑facing platforms).
Deep familiarity with enterprise support expectations, SLAs, incident management, and executive‑level escalations.
Excellent communication skills—able to translate technical issues into clear, confident customer messaging.
A hands‑on, builder mindset: comfortable operating without heavy structure and creating clarity where none exists.

Nice to Have

Experience supporting data platforms, developer tools, or AI/ML infrastructure.
Background working with large enterprise or regulated customers.
Familiarity with cloud platforms (AWS, GCP, Azure) and modern observability/on‑call tooling.
Experience partnering closely with open‑source communities or products.

Why You’ll Love This Role

Build from zero to one: You’ll design and own Unstructured’s global support function end‑to‑end.
High impact: Your work directly affects customer trust, retention, and success.
Elite customers: Support teams running mission‑critical AI and data workloads.
Cross‑company influence: Shape product quality, reliability, and the overall customer experience.
Startup speed, enterprise scale: Move fast while building systems that support global enterprises.
Ready to help the world’s leading organizations unlock their unstructured data for AI? Join us and lead the deployments that make it real.

About the job

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Posted on

Job type

Full Time

Experience level

Manager

Location requirements

Hiring timezones

United States +/- 0 hours

About Unstructured Technologies

Learn more about Unstructured Technologies and their company culture.

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Unstructured addresses a significant challenge many enterprises face: leveraging their vast amounts of unstructured data for use with large language models (LLMs) and other AI applications. Customers often struggle with data in various formats like PDFs, Word documents, PowerPoint presentations, HTML files, images, and more, which are not readily usable by machine learning models. This is where Unstructured steps in, providing solutions to automate the preprocessing of this messy, human-generated data. Our platform transforms raw data into clean, structured formats, making it compatible with LLMs for tasks such as fine-tuning, pre-training, and Retrieval Augmented Generation (RAG).

Our customers need to unlock the potential of their internal data to enhance productivity, drive innovation, and gain actionable intelligence. Unstructured offers open-source libraries and commercial API products designed to simplify and accelerate this data transformation process. We enable organizations to connect their enterprise data, regardless of file type or layout, to LLMs efficiently. This means data scientists and engineers no longer need to spend the majority of their time on the laborious task of data preprocessing, which traditionally involves building custom, brittle pipelines for each data type. By providing robust tools for data ingestion, partitioning, cleaning, and staging, Unstructured empowers businesses to build powerful AI applications based on their own specific, high-quality data, rather than relying solely on generic, pre-trained models. This allows for more accurate, relevant, and secure AI-driven insights and workflows.

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Unstructured Technologies

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Unstructured Technologies hiring Global Support Manager • Remote (Work from Home) | Himalayas