Unstructured is redefining how organizations unlock the value of unstructured data - think PDFs, HTML, Word docs, emails, and more - for AI/ML pipelines. Our open-source library has been downloaded over 40 million times and is trusted by more than 50,000 companies, including nearly half the Fortune 500. We’re backed by leading investors like Menlo Ventures, Databricks Ventures, Bain Capital, and IBM Ventures - and we’re just getting started.

We’re building the definitive stack for file transformation and data orchestration, enabling enterprises to connect any data to any model with speed, precision, and scale.

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 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.

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.

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.

Join a company at the cutting edge of AI + data infrastructure, powering the future of generative AI.

Receive dedicated mentorship from our Sales and Revenue Operations leaders.

Work in a fast-paced, no-ego team where outcomes matter more than process.

Build high-impact automations that directly scale pipeline and revenue.

Competitive compensation, equity, and benefits.