Marketing Operations Engineer
New
Fully remote across EuropeFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonJavascriptHubSpot
Requirements
- API & workflow automation fluency (n8n, Zapier, Make).
- Basic scripting (JavaScript or Python) for integrations and data transformations.
- CRM platform experience (HubSpot, Attio APIs, workflows, custom objects).
- GTM understanding: leads → pipeline → revenue, inbound vs outbound, deal stages.
- AI-native: uses Claude, ChatGPT, Cursor, Windsurf to accelerate work.
- Commercial mindset: prioritizes revenue impact over technical perfection.
- Bias toward action: experiments fast, learns from failures.
- Strong prioritization: "revenue enablement first, system perfection second."
- Autonomous: works independently, comfortable with ambiguity.
Responsibilities
- Own the entire RevOps stack: CRM, sales automation (Clay, email sequencing, LinkedIn), marketing automation, account management (Airtable), and revenue reporting (HockeyStack).
- Build signal-based outbound that automatically detects buying signals and triggers personalized campaigns through Clay workflows.
- Configure cross-channel sequencing with stop-on-reply logic, shared contact state, and CRM sync.
- Decouple marketing from CRM by extracting forms, email, nurturing, and ads into dedicated systems.
- Build automation workflows that connect Clay → sequencers → CRM → Slack without manual steps.
- Design AI agent workflows that replace manual tasks: lead research, email personalization, data enrichment.
- Maintain data integrity: clean CRM data, deduplication logic, prevent duplicate outreach, sync lifecycle stages.
- Evaluate and swap tools proactively before they become blockers.
- Enable self-service workflows so teams execute campaigns without ops support.
- Partner with leadership on GTM architecture and experimentation roadmap.
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