Implement and maintain a composable CDP and data warehouse, build pipelines and identity resolution, deploy autonomous AI-enabled workflows using n8n/Zapier/Clay, and implement monitoring/alerting for GTM data operations to ensure reliable lead syncs and scalable GTM infrastructure.
The Mission: SecureW2 is a fast-growing cybersecurity startup, and we are moving beyond legacy "all-in-one" marketing automation platforms to build a modular, scalable revenue engine. We are looking for a Junior Go-To-Market (GTM) Engineer to implement systems across our go-to market data, build automated workflows and autonomous AI agents to solve identified problems in our GTM departments, and treat our go-to-market infrastructure as a production-grade software product. You will bridge the gap between data engineering and user experience strategy, ensuring our systems are both usable internally and scalable with growth.
Key Responsibilities:
- Implement the Composable Data Stack: Implement and maintain a composable Customer Data Platform and Data Warehouse. You will implement the schemas, pipelines, and identity resolution logic that turns all customer data into a unified customer profile through data activation and reverse ETL.
- Build "Agentic" Workflows: Go beyond simple Zaps. Build and deploy autonomous AI agents using n8n, Zapier, and Clay that can autonomously perform actions across the Sales and Marketing team, with human intervention only at the right time.
- Full-Stack Observability: Treat GTM operations like a DevOps engineer. Implement monitoring, alerting, and error handling for our data pipelines. If a lead fails to sync to Salesforce, you should know before the sales team does.
The Stack You Will Work In:
- Core Infrastructure: Composable CDP, Google Cloud, BigQuery
- Automation & AI: n8n, Zapier, Clay, foundational GenAI models (OpenAI, Google, Anthropic)
- Business Platforms: Salesforce, Outreach, SendGrid, Hockeystack, etc.
Requirements:
- Engineering Background: Experience with Python/TypeScript and SQL. You are comfortable calling APIs, handling webhooks, and writing transformation code.
- Systems Design: You understand the difference between a "Data Lake" and a "Data Warehouse" and know when to use an Event Stream vs. a Batch ETL process.
- Low-Code Mastery: Deep expertise in n8n, Zapier or similar orchestration tools. You know how to handle pagination, rate limits, and error handling in visual workflows.
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