GTM Engineer
Key Skills for This Role
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What You’ll be Responsible For:
Workflow Automation: Design and build custom internal tools, automated signal-based outbound prospecting sequences, and seamless cross-functional data handoffs using orchestration platforms like Clay, Zapier, or n8n.
Data Architecture: Build and optimize pipelines to clean, enrich, deduplicate, and sync raw lead data across our modern data stack and core CRM environment (Salesforce). (ie. Conference List Upload process).
Marketing Operations: Partner closely with Sales and Marketing teams to design and implement lead-scoring methodologies, optimize lead routing, and streamline pipeline generation.
AI Integration: Identify high-leverage opportunities to embed AI and Large Language Models (LLMs) directly into GTM workflows to automate cognitive tasks and personalize revenue loops.
Who You Are:
- Experience: 4+ years in GTM engineering, Marketing Operations, Data analysis, or Data Engineering within a SaaS environment.
- Technical Skills: Experience with Python, SQL, API’s and Webhooks for custom scripts and data manipulation. Experience with orchestration and enrichment tools like Clay, Zapier, n8n or Claude Code.
- Systems Knowledge: Strong working knowledge of Salesforce/CRM data models and architecture.
- Systems & Holistic Thinker: Deconstructs complex, interconnected processes to design scalable solutions that align with both technical constraints and business goals.
- Familiarity with Snowflake, Databases, Business Intelligence Tools, Customer Success Platforms is a bonus.
- Additional information
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- 4+ years in GTM engineering, Marketing Operations, Data analysis, or Data Engineering within a SaaS environment.
- Experience with Python, SQL, API’s and Webhooks for custom scripts and data manipulation. Experience with orchestration and enrichment tools like Clay, Zapier, n8n or Claude Code.
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