The modern customer success role demands deep technical credibility. The best talent often comes from pre-sales or product management, possessing the domain expertise needed and can be trained on commercial skills.

Personio created 'Go-to-Market Engineer' roles within their Revenue Operations team. These individuals have a business background but are also data-driven and tech-focused. This hybrid role is crucial for successfully implementing AI solutions because they understand both business context and technical requirements.

To leverage AI effectively, employees must now act like product managers for their own roles—identifying use cases, defining requirements, and assessing impact versus feasibility. This is a significant skill shift that most organizations are not prepared for, as roles like marketing or sales do not traditionally train for this mindset.

AI products require intensive, hands-on training to work, as they don't function 'out of the box'. Consequently, the strongest hiring trend is for 'forward-deployed engineers' who manage customer onboarding and training, shifting resources away from traditional sales roles to post-sales success.

To build effective GTM automation, hire people who understand both the technology and the sales process. Vercel found success by transitioning its technical sales engineers—who were already former developers—into GTM Engineer roles. This ensures automated workflows are grounded in proven, real-world sales best practices.

When selling AI, effectiveness shifted from pure sales craft to demonstrated expertise in using AI tools. Salespeople must act as 'AI ambassadors,' and their personal use of the technology builds the authenticity and trust needed to sell a new way of working, not just a product.

Clay created the "Go-to-Market Engineer" role because traditional AEs struggled to sell its complex product. This new role combines sales responsibilities with a deep, product-oriented, and operational mindset, effectively bridging the gap between a technical product and its target users who are similarly technical.

When products change weekly due to AI, traditional relationship-based selling fails. The most valuable reps are those who know the product cold and can solve complex customer problems, making them indispensable in a way schmoozing no longer can.

Rather than simply eliminating jobs, the rise of AI agents is creating a need for new, specialized roles. Positions like "Go-to-Market Engineer" and "AI Marketing Ops Specialist" are emerging to oversee, coach, and orchestrate these agents, signaling a transformation—not a reduction—of the GTM workforce.