GTM Engineer Club

GTM Engineer Job Description Template

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Use this job description template and questions below to hire (or prep) efficiently.

Job Description

Role: GTM Engineer
Location: Remote/Hybrid | Team: Revenue Operations

Why this role exists
Build and operate the GTM data and automation layer so marketing, sales, and success move faster with trustworthy data.

Responsibilities

  • Design and maintain tracking plans, identities, and data contracts.
  • Own integrations: product → CDP → Warehouse → Reverse ETL → CRM/MAP.
  • Implement lead routing, enrichment, scoring, and lifecycle automations with SLAs.
  • Model core revenue metrics (pipeline, conversion, cohorts) and publish certified datasets.
  • Set up observability (tests, alerts, runbooks) and handle incidents.
  • Partner with RevOps/Growth on experiments, attribution, and performance reporting.
  • Document systems; enable stakeholders via playbooks and office hours.

Requirements

  • Proficient in SQL and one scripting language (Python or JS).
  • Hands-on with Salesforce/HubSpot and one CDP (Segment/RudderStack).
  • Warehouse + dbt experience; reverse ETL familiarity (Hightouch/Census).
  • Understand funnel metrics and lifecycle design.
  • Clear, concise documentation; bias to automate.

Nice to have

  • Experimentation frameworks, server-side tagging, LLM/AI automations, Airflow/Prefect.

Success in 90 days

  • Tracking plan shipped; core integrations stabilized with alerting.
  • Lead flow SLA met; first lifecycle program live; baseline revenue metrics certified.
  • Backlog prioritized with ROI estimates.

Interview Questions (Signal > Noise)

  1. Walk me through a tracking plan you designed. What changed after go-live?
  2. Describe a messy integration you stabilized. What monitoring exists today?
  3. How do you define MQL/SQL/Pipeline across systems? Where do those definitions live?
  4. Show me a model or DAG you built. What tests protect it?
  5. A stakeholder asks for “multi-touch attribution.” What problem are they really trying to solve?

Practical exercise (2–3 hrs max)

  • Provide a mini dataset, CRM schema, and a user story (e.g., “route high-intent demo requests in <5 min”).
  • Candidate ships a simple DAG + reverse ETL map + alerting plan + short doc.

For Employers: How to Hire Faster (and Smarter)

  • Scope first: Write a one-page “systems charter” listing sources, sinks, SLAs, and who owns what.
  • Pay for reliability: Reward on uptime, data test coverage, and business impact, not just dashboards.
  • Trial projects: A well-bounded paid project beats 8 interview loops.
  • Avoid title traps: If you need deep modeling and orchestration, you’re hiring closer to Analytics Engineer + RevOps.

For Candidates: How to Stand Out

  • Publish a Tracking Plan sample, a dbt repo with tests, and a runbook screenshot.
  • Share before/after metrics (e.g., “dropped lead response from 19h → 6m; +14% opp conversion”).
  • Bring an “incident post-mortem” where you fixed data trust.

Career Path

  • IC track: Senior → Staff → Principal GTM Engineer (platform ownership).
  • Lead/Manager: Own the RevOps/GTM Engineering function; set standards; hire.
  • Adjacent moves: Product Growth, Analytics Engineering, Solutions Architecture.