Andrew Tsai

Revenue leadership is hitting an inflection point. For years, scaling revenue meant more reps, more managers, more playbooks. That model still works. But it’s no longer enough. Just this week, CRO titles at companies like Gong and Apollo.io quietly shifted. Gong’s CRO became Chief Revenue Architect. Customer Success roles evolved into Revenue Architects. Apollo moved CSMs toward GTM Engineers. Those aren’t cosmetic title tweaks. They’re signals. Growth is shifting from scaling teams that run playbooks to designing systems that automate execution - blending human judgment with agentic AI tools. That is a fundamentally different playbook. The idea has been building for years. Manny Medina, founder of Outreach, was early to this shift when he described the emerging AI-native revenue leader - a systems builder, not just a team scaler. Winning by Design helped popularize the idea that GTM has an architecture. Clay made that architecture programmable (if you had the right specialists). Now tools like Claude Code are making true programmability accessible to in-house GTM teams - allowing revenue orgs to build their own system layer without relying on external specialists. And the next generation of sales software organizations won’t just sell tools - they’ll help companies redesign how their GTM actually runs, shifting teams from manual execution to programmable, agentic workflows tailored to their motion. The system layer just became buildable. The implication: revenue leaders are moving from playbook scalers to system architects - designing how people, process, and AI work together. Elite selling will always matter. Great leadership will always matter. But how the entire GTM engine gets engineered is changing for good. This is not the same playbook we’ve run for the last 20 years. Boards are starting to recognize that the next era of growth demands system architects, not just headcount scalers. Revenue leadership has entered its system-building era.

3

4 Comments

Salesforce's Life Sciences Cloud roadmap says order management and compliant event management land by October. Every pharma ops leader I know is getting the same pitch deck right now: the gaps are closing, time to commit. So, two things can be true at once. Life Sciences Cloud is genuinely maturing, and "GA in October" tells you almost nothing about when it's usable in YOUR org. GA means the feature exists. It doesn't mean it survives your validation process, your data model, or the fourteen SOPs your compliance team wrote for the old system. In regulated life sciences, the distance between "generally available" and "validated and adopted by a field team" is routinely six to nine months of real work. I've watched features sit toggled-off for a year because nobody budgeted the change management. That doesn't make it vaporware, and honestly the platform bet is looking better every quarter. It makes it a project. If the October wave matters to your Veeva decision, the question for your account exec isn't "when is it GA." It's "who's running this in production in an org shaped like mine, and can I talk to them." Vendors sell release dates. You should be buying reference calls. #LifeSciencesCloud #Veeva

15

2 Comments

Big news! 🚀 Mission Andromeda has landed, kicking off Gong’s new product launch cadence. This launch brings powerful new capabilities to help revenue teams move faster and execute with confidence, including: ✨ Gong Enable — AI role-plays to help reps practice real moments before they happen live ✨ Gong Assistant — always-on conversational guidance for everyday workflows ✨ Account Boards — unified view of all accounts to align AE + CS ✨ Account Console – deep dive view of a single account ✨ Gong MCP Support — integrated AI across your tech stack Proud to be part of a team building the #1 revenue AI OS, and excited to see how customers put these updates to work. Learn more: https://lnkd.in/dPZiM_PA

19