Best of LinkedIn: Go-to-Market CW 28/ 29

Go-to-market is being rebuilt around a new operating layer rather than a new headcount line. The selected posts describe a field where AI has made execution cheap enough that judgment, systems design and post-close revenue now separate the companies compounding pipeline from the ones just adding tools. A distinct new role, GTM Engineering, has moved from a niche title to a measurable hiring category in under three years, while agentic stacks, bow tie revenue models and channel portfolios are replacing single-channel playbooks across the buyer journey

Date

July 23, 2026

Go-to-Market

Thomas Allgeyer

Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!

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If you prefer listening, check out our podcast summarizing the most relevant insights from Go-to-Market CW 08/ 09:

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GTM Engineering: The Role

Clay's rebuilt homepage anchors its positioning around the GTM engineer as the builder of Data, Agents, Orchestration, Execution and Governance systems
GTM engineer hiring across 9,600 companies rose 23x, from 0.1% in January 2023 to 2.3% by June 2026
GTM Engineering and RevOps are converging into one hybrid function
Apollo's GTM Engineer role is judged on one metric: higher customer pipeline three months in
Real GTM Engineering is connecting signal to account to pipeline, not stacking more point tools
Wayne Johnson frames the GTM Engineer as sitting between RevOps and software engineering

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AI and Agentic Tools

An agency running entirely on Claude Code hit $1.5M ARR and 2.2M LinkedIn impressions in 90 days
Five GTM CLIs and APIs for Claude Code were compared: Clay's CLI, Deepline, ColdIQ, Cargo and OXYGEN
A personalized landing page agent was built with FullEnrich, Claude, GitHub and Vercel
A lean nine tool GTM stack ran on Claude Code, Clay, HubSpot, Slack, Notion, Webflow, Cloudflare and GitHub Actions
Deepline's signal engine traced wealth management prospects through FAA aircraft registry data
A PMM Sherpa MCP gives GTM agents a judgment layer across scoping, decisions, drafting and review
A 17 API stack runs outbound end to end with zero manual touches

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Case Studies and Wins

Sierra reached $200M ARR at a $15.8B valuation on outcome based pricing
HeyReach grew from $3M to $16M ARR in 16 months, then added $470K from signal based outbound
An AI built website booked 100+ qualified calls and closed $200K in 60 days
Cursor's internal Sales AI tripled SDR qualified meetings and halved AE ramp time
A split test showed 83% of pipeline value landing on the side with fewer, higher quality meetings
Apollo is approaching $200M ARR and 100,000 customers after acquiring Pocus
Freshworks built a $600M+ business from a founder's $45,000 bet on one positioning slide

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Frameworks and Strategy

A channel portfolio model splits spend 70/20/10 across proven, promising and experimental channels
The Set, Run, Ship framework keeps humans on both ends of the AI handoff across 230+ campaigns
A five type ROI framework shows most B2B teams pitch only the hardest to prove ROI type
The bow tie GTM model shows 82% of SaaS lifetime revenue arrives after the initial close
Only 33% of GTM teams that use AI daily use it to fully automate a task
Roughly 80% of software buyers have changed research habits because of AI search
The same six GTM problems recur across 15+ clarity sprints from €0 to €1M ARR

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Careers and Hiring

GTM Engineer job postings grew 205% year over year to 3,000+ live listings by January 2026
Python and SQL together add roughly $80,000 to a GTM Engineer's compensation
Anthropic and OpenAI have hired roughly 100 Salesforce sales and marketing staff this year
A single GTM engineer opening at Pipeline.tech drew 150+ applications in 24 hours
A GTM Engineering cohort drew applicants from SDR leaders to solo founders around builder first thinking
Amanda Schlegel formalized her GTM advisory offerings after decades at Microsoft, IBM, Samsung and FedEx
Ramp speed depends on sales, industry and business acumen together, not a recognizable employer name

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Thanks to Varun Anand, Mishti Sharma, Lorenzo Amadei, Eric Quanstrom, Soumajit Nandi, Wayne Johnson, Jani Vrancsik, Tim Scheuer, Saad Khan, Pankaj Kumar, Jai Toor, Abhishek Ratna, Faiz Sayyad, Ivan Landabaso, Fivos Aresti, Othmane Khadri, brendan short, Jonathan M K., Michael Levy, Preeti Sahu, Mickey Haslavsky, for the insights behind this edition. Find the full list of posts and voices on LinkedIn: