GTM Engineer – Lead Gen, Data Automation Builder
ATLAS ANALYTICS
full-time
Posted on:
Location Type: Remote
Location: Singapore
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Job Level
About the role
- Design & implement GTM automations — end-to-end workflows (brief → source → verify → enrich → handoff) with clear ownership.
- Translate ICP/data briefs from Growth/CSM into precise, enriched datasets — methodologies, queries, exclusions, QA steps.
- Document & enforce standards — sourcing, enrichment, tool usage (Airtable, SalesOS, n8n/Make, AI).
- Ensure data accuracy, system uptime, and process reliability across tools/teams.
- Spot inefficiencies/bottlenecks early — propose and deploy scalable fixes.
- Serve as escalation point — leadership gets only strategic issues.
- Continuously improve — run experiments, compare results, deprecate complexity.
Requirements
- Lead-gen data nerd — enjoy turning messy inputs into clean, scalable outputs.
- Natural debugger — read logs, isolate variables, fix root causes (not symptoms).
- Systematic — document, templatize, add guardrails so others can run your systems.
- Business-aware — spot edge cases, understand GTM context, communicate trade-offs clearly.
- Tools-native — Clay (Tables/AI/Enrichment), Airtable, Apollo, Make/Zapier, Smartlead/Instantly, Google Sheets/Apps Script, APIs/webhooks, Slack/SalesOS.
- Bonus: light Python/Node; enrichment waterfalls/dedupe; LLM prompting.
- Fluent English (B2+); reliable CET overlap.
Benefits
- Remote setup stipend
- Paid learning resources
- ATLAS Academy access
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data enrichmentdata quality assurancedata analysisPythonNode.jsAPI integrationworkflow automationdebuggingdata deduplicationexperimentation
Soft Skills
leadershipsystematic thinkingproblem-solvingcommunicationbusiness awarenessattention to detailprocess improvementcollaborationcritical thinkingadaptability