GTM Engineer

The GTM Engineer owns the code-and-integration layer of the go-to-market motion as an individual contributor - the programmatic plumbing that connects and drives the revenue stack. The scope is technical and cross-platform specifically: API integrations and iPaaS / middleware workflows that connect the CRM, the marketing-automation platform (MAP), the warehouse, enrichment providers, and the outbound / engagement tools; data pipelines and syncs that move and reconcile records between those systems; signal-based and lifecycle automation (lead routing and assignment, scoring, enrichment, deduplication at scale, territory logic) built as reliable software rather than clicked together and forgotten; net-new GTM tooling and internal apps stood up against vendor APIs; and the tracking / attribution data flow that the revenue number is eventually reported on. Cutting across all of it is the engineering discipline that separates this seat from a power-user: reliability (error handling, retries, idempotency, backfills), observability (logging, alerting, runbooks), scale (rate-limit budgeting, batching, throughput), and safe deployment against production revenue systems (staging, canary, rollback). This is a practitioner / IC seat reporting to a RevOps Manager or Head of Revenue Operations, partnering closely with the GTM Systems Analyst, marketing / sales ops, and the Data Engineer. It is deliberately not a declarative-admin seat and not the central-data-platform seat. The GTM Engineer builds the programmatic layer that the platform admins configure inside, and works close to the go-to-market tools rather than owning the company-wide warehouse. What separates great from average is turning a fragile pile of point-to-point integrations and clicked-together automations into monitored, idempotent, documented infrastructure that a revenue org can trust with its numbers: syncs that survive a rate-limit and a malformed record instead of silently corrupting the CRM, automations that fail loudly and roll back instead of mass-mailing the wrong segment, a data model with a clear system of record instead of two systems overwriting each other, and net-new tooling that ships with a runbook instead of living in one engineer's head. A mediocre GTM Engineer wires two tools together on a Friday, skips the error handling, and leaves an unobserved sync that is discovered only when pipeline reporting goes wrong; a great one designs the integration for failure and scale from the first line, instruments it, deploys it safely against production, and knows exactly which changes are theirs to ship and which touch the reported number and must be escalated.