GTM Engineer, Unstructured.io
Sales Operations
$120-150k
+ Equity
Data prepping for Large Language Models
Open for applications
Data prepping for Large Language Models
21-100 employees
Open for applications
$120-150k
+ Equity
21-100 employees
Company mission
To give organizations access to all of their data.
Role
Who you are
- 4+ years in GTM (revenue/marketing/sales) operations or GTM engineering at a B2B SaaS company
- Deep HubSpot CRM experience, including workflow automation, custom properties, and pipeline management
- Experience building and maintaining workflow automations (HubSpot workflows, n8n, Zapier, or similar)
- Proficiency with AI-assisted development tools (Claude Code, Codex, Cursor, etc.). Must have shipped a tool, integration, or automation to production that a team actually uses
- Experience with lead routing (including Marketing to BDR to AE handoff), deal stage management, and sales process design
- Experience with designing system for handoff of accounts from Sales to Solutions for technical implementation
- Experience with CPQ, billing integrations, or deal desk operations
- Experience with owning sales enablement processes, such as a GTM team onboarding processes/automations
- Ability to run quick build vs. buy analyses: not everything needs to be custom-engineered
- A documentation-heavy mindset with a knack for effective change management
Desirable
- Familiarity with Clay for data enrichment
- Experience at a developer-focused or open-source company
- Experience with Enterprise ICPs and complex, multi-stakeholder sales cycles
What the job involves
- We're looking for a GTM Engineer, Operations to own the systems engineering layer of Unstructured's go-to-market function on the RevOps & Data team
- In this role, you'll design, build, and maintain the CRM architecture, workflow automation, lead routing/handoff, deal desk processes, integration infrastructure, and sales enablement ops processes that the entire GTM organization runs on
- You'll treat these systems like a product you own: scoping solutions, shipping them to production, and iterating based on how the team uses them
- This is a high-impact role for someone who thrives at the intersection of RevOps, systems engineering, and AI-assisted development, with deep experience in HubSpot and a track record of building tools that teams actually use
- You'll work alongside a GTM Engineer (Growth) focused on prospecting, enrichment, and signal activation, and a Senior Data Analyst who owns our Snowflake lakehouse and BI stack
- Small team, big scope
- This role is remote (US) with occasional in-person working sessions (travel paid for by Unstructured)
- Own and evolve HubSpot CRM architecture: deal stages, pipeline configuration, property management, record automation, and data hygiene at scale
- Build and maintain workflow automation across the full GTM funnel: lead routing, lifecycle stage progression, assignment rules, and sales stage enforcement
- Design and operationalize the Marketing -> BDR -> AE lead -> Solutions implementation handoff, including routing logic, SLAs, and feedback loops
- Own deal desk, CPQ, and quote-to-cash processes, working with sales and BizOps to ensure clean handoffs from signed contract to provisioning to payment made
- Ship custom integrations and tools using AI-assisted development (Claude Code, etc.) that solve real operational problems and run in production
- Support GTM team onboarding and enablement: build onboarding workflows, maintain playbook distribution, and ensure new hires are productive in the stack quickly
- Manage attribution and lead funnel reporting in conjunction with Marketing/Growth to ensure pipeline sources and conversion metrics are accurate
- Conduct build vs. buy analysis for new tooling needs. Not everything needs to be custom-engineered; know when to configure, when to integrate, and when to build
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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