AI-powered outbound growth platform for B2B sales teams
Atlas Analytics runs a services-led outbound growth operation using a lean tech stack (Airtable, Apollo, Make, Zapier, Python, Node.js) to manage multi-channel campaigns and data workflows. The hiring mix is heavily weighted toward sales and ops roles with minimal engineering headcount — consistent with a model that prioritizes client execution and campaign delivery over product development. Current focus on client onboarding, lead-gen automation, and playbook development suggests an organization scaling its service delivery systems rather than building platform features.
Notable leadership hires: Head of Sales, Growth Lead, Head of Operations
Atlas Analytics is a B2B outbound growth service operating from Singapore with a global client base of 200+ companies. The company combines AI-driven prospect targeting, personalized email and video outreach, and hands-on campaign execution — typically onboarding clients within 2–3 weeks. The team includes Growth Strategists, SDRs, CSMs, Data Analysts, and Copywriters working to manage large-volume outbound campaigns. Internal challenges center on scaling the sales pipeline engine, reducing no-shows, and improving pipeline reliability while maintaining operational stability as the company grows.
Airtable, Apollo, Make, Zapier, Google Sheets, Google Apps Script, Slack, Python, Node.js, LinkedIn, Loom, and n8n. The stack emphasizes no-code workflow automation and data integration over bespoke platform infrastructure.
Singapore. The company actively hires in Singapore and South Africa, with 18 open roles across sales, ops, and engineering functions.
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