Responsibilities
🤓 As a GTM Engineer the company expects you to perform the following tasks.
- Architect and build the object and data model, lifecycle states, pipelines, properties, and workflows so HubSpot becomes the ledger the entire company runs on.
- Deploy and own the context graph. It auto-populates HubSpot with clean, structured data and gives the entire company a unified, data-driven, customer-centric brain to query.
- Deploy and own the PRM: data model, deal registration, attribution, partner workflows, and payouts.
- Own enrichment, routing, scoring, and attribution, and automate lead capture, handoffs, lifecycle, and renewals so teams move without manual setup.
- Connect the stack through APIs and prepare it for MCP access so it's ready for AI agents (e.g. Gemini Enterprise).
- Build the pipeline, forecasting, and attribution reporting the company's divisions run on day to day, and the data-quality standards that keep it trustworthy.
Requirements
✨ You are the person they are looking for if you have.
- Proven experience building and owning GTM systems across sales and marketing
- Deep, hands-on HubSpot expertise as the system of record
- Experience deploying and integrating a PRM and the wider GTM stack
- Workflow automation, data architecture, and data-quality governance (enrichment, routing, scoring, attribution)
- API integration work and data modeling
- Revenue forecasting and pipeline analytics
- Familiarity with Google Workspace and Slack
- Plus: experience with agentic AI, MCP, and context graphs (Sybill)
