CSM roles decline 700% as AI-native companies shift to forward deployed engineering

CSM roles decline 700% as AI-native companies shift to forward deployed engineering

Jun 10, 2026
SaaStr ARMARM Gtm_strategy

The Gist

  • Traditional CSM titles now trigger buyer skepticism per Assembly AI data
  • Forward deployed engineer roles grew 1000% while CSM hiring flatlined
  • Harvey uses old-school EBRs for AI adoption in conservative industries
  • AI-native companies avoid mentioning AI in positioning to signal maturity
Key Quotes

The moment you stop saying AI in every sentence is the moment you actually become AI-native.

The winners in AI will be the ones who deliver the change management that drives workflow change, not the best model or UI.

Key Insights
  • The CSM role grew over 700% through Q2 2022 and then flatlined for four years running, while forward deployed engineering is up more than 1,000% and still climbing, signaling a structural shift in post-sales roles.
  • AI-native companies are shifting from traditional CSM roles to forward deployed engineering, focusing on building trust progressively, investing in domain expertise, and going deep rather than wide.
  • Lovable's approach to customer success includes stopping the overemphasis on AI, rewiring the clock to match product speed, designing for experiences not activities, controlling the stack, and aligning value with revenue.
  • Harvey's traditional CS motion in the legal AI space shows that selling AI is about selling a fundamental change in workflow, not just software, emphasizing the human layer in change management.
  • Assembly AI's shift from CSM to FDE roles highlights the importance of technical capability in customer success, with metrics showing significant improvements in resolution rates and scalability.
  • The new metrics for AI-native CS include eval pass rate, time to first value, velocity, and a reset NRR, reflecting the shift from protecting an annuity to operating a toll booth.
Actionable Takeaways
  • Shift from traditional CSM roles to forward deployed engineering to align with the structural changes in post-sales work.
  • Focus on building trust progressively, investing in domain expertise, and going deep rather than wide in customer engagements.
  • Redefine customer success metrics to include eval pass rate, time to first value, velocity, and a reset NRR.
  • Conduct a time-and-motion study to define your unit of work, map context and correctness inputs, and hire accordingly.
Data Points
  • 700% (Growth of the CSM role through Q2 2022, followed by a flatline for four years.)
  • 1,000% (Increase in forward deployed engineering roles over the same period as CSM flatline.)
  • 26% (Legal teams using GenAI, double the prior year.)
  • 78% (Legal professionals who believe AI will be central to their work.)
  • 4x (Firms with a visible AI strategy are more likely to see ROI than those with ad hoc adoption.)
  • 75% (End-to-end resolution rate achieved by Assembly AI's customer support agent in 45 days.)

RevBots.ai View:

The most advanced companies are hiding their AI capabilities while fundamentally restructuring customer-facing roles.

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