GTM Engineer, Unstructured.io
$120-150k
Offers equity
Data prepping for Large Language Models
Be an early applicant
Data prepping for Large Language Models
21-100 employees
Be an early applicant
$120-150k
Offers equity
21-100 employees
Company mission
To give organizations access to all of their data.
Role
Who you are
- 3-6 years of experience in GTM systems management
- Must have deep experience with Clay integrated with HubSpot
- Strong hands-on workflow/automation engineering experience, including Zapier
- Experience setting up and utilizing APIs for integrations
- Ability to build or leverage lead scoring/intent models
- Familiarity with advanced data enrichment solutions (e.g., Apollo)
- Experience with multi-channel outbound systems (email, LinkedIn, and other touchpoints)
- Understanding of ICP and segmentation strategies
- Experience applying AI/LLMs for personalization, summarization, or enrichment
Desirable
- Experience with n8n or other low-code workflow automation platforms
- Some scripting/programming skills (SQL, JavaScript, Python) for custom data transformations
- Experience with Gong
- Exposure to sales engagement or marketing automation best practices
What the job involves
- We’re looking for a GTM Engineer to scale and modernize Unstructured’s go-to-market function on the Revenue Operations (RevOps) team. In this role, you’ll design, test, and deploy AI-driven workflows and automations across Growth Marketing and Sales, enabling the team to operate with efficiency and precision
- You’ll turn our huge pool of raw data into actionable outbound and pipeline generation programs, unify systems, and eliminate manual processes - ultimately fulfilling functions that traditionally require multiple individual contributors
- This is a high-impact role for someone who thrives at the intersection of RevOps, automation, and AI, with deep experience in tools like Clay and HubSpot
- This role is remote with occasional in-person working sessions; Preferred Locations: Denver, Colorado, but also open to Seattle, Washington
- Fully onboard and integrate Clay into Unstructured’s GTM stack
- Build, automate, and maintain AI workflows that unify data across our tech stack, including HubSpot, Reo.Dev, and additional enrichment solutions for personalization, summarization, and data enrichment
- Work alongside our Data team to operationalize GTM data, therefore delivering consistent, enriched outbound prospect lists and pipeline reporting
- Automate message-based and call-based outbound motions to conduct a clean hand-off of qualified prospects to the sales team
- Monitor and optimize GTM data pipelines to ensure accuracy, reliability, and scalability
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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