How to Build a $30M ARR Business with Just Three Founders and ZERO employees – Amos Bar-Joseph, Co-Founder, Swann

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Are you struggling to scale your cybersecurity sales team without ramping up headcount or getting drowned in technical complexity? Wondering if AI can really move the needle for high-value, complex sales cycles? Curious how leading founders are reimagining go-to-market operations to win in today’s fast-paced, AI-driven environment? This episode of the Cybersecurity Go-To-Market Podcast dives right into these pressing questions.

In this conversation we discuss: 

👉 The ground-breaking approach of building a $30m ARR SaaS company with only 3 founders and a suite of AI agents and no additional employees. 

👉 How AI-driven agentic workflows can help sales teams focus on high-value tasks, remove technical complexity, and iterate at the speed of thought. 

👉 Practical strategies for cybersecurity companies to integrate AI into their GTM motion, while building trust and adapting to their unique sales cycles and ACVs.

About our guest:
Amos Bar-Joseph is the co-founder of Swan, an innovative SaaS platform that enables human-AI co-selling at scale. Drawing from two previous B2B startup journeys, Amos is on a mission to rewrite the go-to-market playbook, making businesses radically more efficient by scaling intelligence, not headcount.

Summary
If you want to understand how AI agents can help you work smarter, not harder, and what it would take to scale your cybersecurity sales function without more bodies, you can’t miss this episode. Tune in to discover actionable insights from founders who are paving the way with new GTM models that are designed for speed, adaptability, and intelligent automation. Listen now!

Links & Resources

• Connect with Amos Bar-Joseph on LinkedIn
• Learn more about Swan

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