Episode
Best of LinkedIn: Go-to-Market CW 22/ 23
- Published
- Jun 11, 2026
- Duration seconds
- 1310
- Processing state
not_requested
Actions
POST https://stenobird.com/v1/public/podcasts/best-of-linkedin-strategic-b2b-marketing-7370361/episodes/best-of-linkedin-go-to-market-cw-22-23/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/best-of-linkedin-strategic-b2b-marketing-7370361/best-of-linkedin-go-to-market-cw-22-23.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
We curate most relevant posts about Go-to-Market on LinkedIn and regularly share key takeaways. We at Frenus help ICT & Tech providers identify niche channel partners by compressing the entire journey from identification to a qualified first meeting into just four to five weeks. You can find more info here: https://www.frenus.com/usecases/niche-partner-identification-and-activation-from-unknown-to-first-meeting-in-under-five-weeks In this edition, the emergence of GTM engineering, a discipline focused on building high-leverage revenue systems rather than simply accumulating disconnected software tools. A central theme is the shift toward AI-native architectures, where platforms like Claude Code are used to orchestrate complex outbound workflows and data enrichment. Contributors emphasize that while automation is accelerating, success still hinges on foundational strategy, specifically clean data, sharp ICP definitions, and human-led creative frameworks. The collection also highlights a distinct global evolution of the field, noting that while many employers are US-based, the talent and innovative sales tech are increasingly originating from Europe and India. There is a clear distinction between basic task automation and the high-value role of a GTM engineer who designs resilient, system-wide revenue infrastructure. Ultimately, the texts argue that the future of business growth lies in aligned systems that integrate AI to handle grunt work while humans focus on trust-building and local market adaptation. This podcast was created via Google Notebook LM.