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High-Signal GTM for Tough ICPs ft. Kamil Sobiszewski
In today's episode, I chat with Kamil, a GTM engineer who works with Apex Fractional, about building precision targeting systems that achieve exceptional contact-to-deal ratios.
We explore his unique approach of working with just 3-4 clients at a time to build boutique outbound machines using Clay automation and data intelligence. Kamil shares a detailed breakdown of his most creative campaign for a UK recruitment agency, where he tracked LinkedIn posting frequency, leadership hires, and tech stack changes to identify companies that would need hiring before they started recruiting. We discuss his background in electrical engineering and how he became the "unicorn engineer" who could talk tech and close deals, his thoughts on cold calling as a testing tool for product-market fit, and why he believes GTM engineers won't be replaced by AI.
Enjoy 🙂
(00:00) Introduction to Outbound Wizards
(00:16) What Kamil Does and His Client Focus
(01:25) Building Custom Outbound Machines with Clay
(04:00) Most Creative Campaign: UK Recruitment Agency
(07:17) Cold Calling + Email Automation Strategy
(08:38) Using Cold Calling to Test Product-Market Fit
(10:20) Kamil's Journey: Electrical Engineering to GTM
(12:40) Why Engineers Make Great Sales People
(13:00) Delivering 600:1 Contact-to-Reply Rates
(14:30) Working with Apex Fractional on Enterprise AI
(15:00) The Future of GTM: AI's Role and Limitations
(17:00) Clay's Evolution: Startups to Enterprise ABM
(18:30) Will GTM Engineers Automate Themselves Out of Jobs?
(21:10) Advice for New GTM Engineers Starting with Clay
(22:30) Closing and Contact Information
🔗 CONNECT WITH KAMIL
👥 LinkedIn
💻 Website
🔗 CONNECT WITH SAURAV
🎥 YouTube Channel
🐦 X (Twitter)
💻 Website
👥 LinkedIn
📧 Email - [email protected]
🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)
👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.
View all episodes
By Saurav GuptaIn today's episode, I chat with Kamil, a GTM engineer who works with Apex Fractional, about building precision targeting systems that achieve exceptional contact-to-deal ratios.
We explore his unique approach of working with just 3-4 clients at a time to build boutique outbound machines using Clay automation and data intelligence. Kamil shares a detailed breakdown of his most creative campaign for a UK recruitment agency, where he tracked LinkedIn posting frequency, leadership hires, and tech stack changes to identify companies that would need hiring before they started recruiting. We discuss his background in electrical engineering and how he became the "unicorn engineer" who could talk tech and close deals, his thoughts on cold calling as a testing tool for product-market fit, and why he believes GTM engineers won't be replaced by AI.
Enjoy 🙂
(00:00) Introduction to Outbound Wizards
(00:16) What Kamil Does and His Client Focus
(01:25) Building Custom Outbound Machines with Clay
(04:00) Most Creative Campaign: UK Recruitment Agency
(07:17) Cold Calling + Email Automation Strategy
(08:38) Using Cold Calling to Test Product-Market Fit
(10:20) Kamil's Journey: Electrical Engineering to GTM
(12:40) Why Engineers Make Great Sales People
(13:00) Delivering 600:1 Contact-to-Reply Rates
(14:30) Working with Apex Fractional on Enterprise AI
(15:00) The Future of GTM: AI's Role and Limitations
(17:00) Clay's Evolution: Startups to Enterprise ABM
(18:30) Will GTM Engineers Automate Themselves Out of Jobs?
(21:10) Advice for New GTM Engineers Starting with Clay
(22:30) Closing and Contact Information
🔗 CONNECT WITH KAMIL
👥 LinkedIn
💻 Website
🔗 CONNECT WITH SAURAV
🎥 YouTube Channel
🐦 X (Twitter)
💻 Website
👥 LinkedIn
📧 Email - [email protected]
🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)
👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.