GTM Automation Engineer

GTM Automation Engineer

Why this role exists

We are building a revenue engine that scales through systems, not headcount.

This role exists to design and harden the automation layer across the GTM stack — inbound, outbound, routing, enrichment, lifecycle transitions, alerts, dashboards, and workflow health. The goal is simple: GTM processes should run fast, correctly, and reliably, without silent failures, duplicate actions, or brittle logic.

This is not a classic RevOps admin role.

This is a builder role for someone who wants to own the automation infrastructure behind revenue execution — the layer that turns messy GTM intent into clean, auditable, scalable systems.

If you enjoy translating ambiguity into logic, preventing operational drift, and building workflows that survive real-world edge cases, this role is for you.

What you’ll own

You will own the systems and automation layer across the GTM lifecycle.

Core stack

You should expect to work across

• Workflow / orchestration: n8n, Make, Zapier, Workato, Tray.io, Retool
• CRM / GTM systems: HubSpot, Close, Apollo, Clay, Airtable
• Comms / collaboration: Slack, Gmail, Google Sheets, Notion
• APIs / integration layer: REST APIs, webhooks, auth flows, OAuth
• LLM / AI tooling: OpenAI, Claude, Gemini APIs
• Scripting / validation: JavaScript / Python / SQL where needed

We do not expect you to blindly connect tools. We expect you to understand where automation ends and engineering judgment begins.

What the role actually involves

• Architect and harden GTM automations

Build and maintain reliable workflows across marketing, sales, recruiting, and customer success functions.

This includes

• triggers
• branching logic
• routing
• retries
• fallback paths
• failure alerts
• manual review logic
• auditability

You should think like a systems engineer, not just a workflow builder.

• Own inbound automation

Design flows that capture, qualify, enrich, route, and follow up on inbound demand.

Examples

• form submissions
• lead capture
• meeting-booking triggers
• enrichment flows
• dedupe-safe lead creation
• territory / segment based routing
• SLA-sensitive follow-up
• alerts only after successful downstream writes

Fast is not enough. Routing needs to be fast and correct.

• Build outbound enablement workflows

Support SDRs and AEs with systems that reduce manual work and improve consistency.

Examples

• sequencing triggers
• task creation
• account research pipelines
• personalization support flows
• field completeness checks
• stage-based nudges
• leadership alerts
• hygiene enforcement

The goal is not more workflow for the sake of workflow. The goal is cleaner execution with fewer misses.

• Own data hygiene and governance

You will be the quality gate across GTM systems.

This includes

• deduplication logic
• lifecycle stage definitions
• property governance
• naming conventions
• ownership rules
• access controls
• audit checks
• data quality reviews

You should care deeply about correctness. Silent data drift is a bug.

• Build integrations with observability

Maintain integrations across internal and external systems using a mix of iPaaS, APIs, webhooks, and code where necessary.

You will also implement monitoring such as

• run failures
• timeout alerts
• duplicate-action checks
• workflow uptime
• broken data-flow detection
• incident runbooks

A workflow that “usually works” is not production-grade.

• Build the GTM truth layer

Create and maintain dashboards and operational reporting across the funnel.

Examples

• inbound volume
• MQLs / SQLs
• routing SLAs
• pipeline creation
• speed-to-lead
• stage conversion
• workflow failure rates
• funnel leakage
• enrichment quality
• manual-review load

You should be comfortable building systems that are not only automated, but measurable.

• Document systems that survive scale

Document

• workflow maps
• integration dependencies
• business rules
• fallback logic
• owner-routing logic
• failure conditions
• governance rules
• change history

Good documentation should make the system easier to audit, extend, and debug.

What success looks li