ATLAS ANALYTICS
11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
🤝 B2B
💳 Fintech
Artificial Intelligence • B2B • Fintech
ATLAS ANALYTICS is a technology-driven company that specializes in enhancing B2B sales and marketing efforts through innovative solutions. They provide a comprehensive platform that integrates data sourcing, lead generation, and personalized outreach, leveraging AI to improve sales efficiency. ATLAS ANALYTICS empowers businesses by connecting them with quality prospects through smart data sourcing, engaging video outreach, and expert consulting services, enabling sales teams to close more deals and achieve their revenue goals.
GTM Engineer – Lead Gen, Data Automation Builder
🕒 February 4
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ATLAS ANALYTICS
11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
🤝 B2B
💳 Fintech
Artificial Intelligence • B2B • Fintech
ATLAS ANALYTICS is a technology-driven company that specializes in enhancing B2B sales and marketing efforts through innovative solutions. They provide a comprehensive platform that integrates data sourcing, lead generation, and personalized outreach, leveraging AI to improve sales efficiency. ATLAS ANALYTICS empowers businesses by connecting them with quality prospects through smart data sourcing, engaging video outreach, and expert consulting services, enabling sales teams to close more deals and achieve their revenue goals.
📋 Description
• 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
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