To keep pace with rapid product changes, Notion dissolved the central CMO organization. It created two focused teams: "Storytelling," which sits close to product, and a "go-to-market" function serving sales. This decentralizes marketing and increases speed.

The ultimate purpose of adopting agile practices is to build a team that can rapidly pivot in response to major market changes, like a competitor's move or a disruptive technology like AI. The various ceremonies and processes are simply a means to achieve this organizational adaptability, not an end in themselves.

To avoid bureaucratic slowdowns at scale, Canva organizes its marketing team into small, empowered "swift boat pods." These teams can pursue impactful ideas with minimal friction and approvals, preserving a scrappy, experimental culture and preventing bureaucracy from stifling creativity.

This framework balances long-term vision with rapid, short-term iteration. It prevents teams from getting bogged down in planning while ensuring daily actions align with a larger strategy. Fast iteration can compensate for being initially wrong, making it a core principle for modern marketing.

Instead of slow quarterly planning, Mustafa Suleiman's division uses rapid 6-8 week cycles, each ending with an in-person meetup for retrospectives and planning. This rhythm creates clear, falsifiable missions suitable for the fast-paced nature of AI development, keeping the entire organization synchronized and focused.

Reframe MarketingOps from a tactical execution team to a strategic function that owns and orchestrates the entire go-to-market technology stack as a cohesive product, aligning it with business goals and translating needs into capabilities.

To adapt to AI-driven productivity, Block abandoned large, static feature teams for small squads of 1-6 people that can flexibly move between products. This structure, combined with cutting management layers by over 50%, allows for faster information flow and rapid, AI-powered development cycles.

Adopt engineering methodologies like sprints, story points, and capacity dashboards for marketing operations. This provides the data needed to manage stakeholder expectations, prioritize requests transparently, and move the team from reactive order-takers to strategic partners with a defensible roadmap.

In the AI era, shift from silos like 'Demand Gen' to cross-functional pods focused on outcomes like 'Brand Relationship' or 'Product Delight.' This model, inspired by product development, aligns teams to solve specific customer problems and better integrates AI agents directly into core workflows.