GTM Engineer
Build and maintain the revenue organization’s data pipelines, internal tools, and AI-driven workflows across Salesforce and the modern GTM stack. The role requires 2+ years of analytical, data engineering, or software engineering experience, plus SQL, scripting, pipeline ownership, and strong data governance.
About the job
Responsibilities
- Learn and extend the Salesforce and sales tooling architecture, including its data model, field taxonomy, and dependency logic.
- Build, monitor, and maintain data pipelines connecting Salesforce, Gong, Common Room, Slack, and enrichment sources.
- Ship internal revenue tools such as forecast trackers, scoring dashboards, compensation calculators, and deal-desk monitoring systems.
- Build signal-based and AI-driven workflows for routing, enrichment, next-best-action surfacing, and automated outreach support.
- Support Area Directors, Account Executives, and Customer Success teams with prioritized tools and fixes.
- Own data quality across the stack, including pipeline health, field hygiene, and synchronization integrity.
- Maintain code repositories for internal GTM tooling so systems remain secure, maintainable, legible, and compliant.
- Prototype and iterate on tooling and integrations as the GTM function evolves.
Requirements
- 2+ years of experience in an analytical, data engineering, or software engineering role.
- SQL and at least one scripting language, preferably Python, used to build within a defined scope.
- Experience building end-to-end data pipelines and preventing silent failures.
- Ability to take clearly scoped problems through to working tools and ask clarifying questions when specifications are incomplete.
- Ability to quantify impact in revenue terms, such as pipeline influenced, hours removed, or cost per lead.
- Experience maintaining data governance, quality, and integrity in fast-moving software systems.
- Ability to design software and develop interfaces for a revenue organization without a dedicated designer.
Nice-to-haves
- Experience integrating LLMs into GTM workflows, including enrichment, scoring rationale, outreach drafting, or agentic systems.
- Experience with Model Context Protocol or similar agent frameworks.
- Experience with Gong, Common Room, Clay, or comparable modern GTM tools.
- Experience selling to or supporting technical, hardware, or government/defense buyers.
- A publicly shared portfolio of systems built and their results.
Benefits
- 100% coverage of medical, dental, and vision insurance
- Unlimited PTO and sick leave
- Free lunch, snacks, and coffee
- Professional development stipend
- Annual company retreat
Skills
Salesforce, SQL, Python, Data Pipelines, LLMs, Model Context Protocol, Gong, Common Room, Clay, Slack, Data Governance, AI Workflows
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