New-category roles like "GTM Engineer" have no established talent pool. Instead of searching externally for a non-existent candidate, find the person on your marketing team who already hacks tools together with Zapier and builds their own dashboards.

While large enterprises can afford specialized roles like Go-to-Market Engineers, Series A companies must prioritize foundational operations first. The initial ops hire should focus on building a solid data foundation, like funnel and pipeline tracking, before any advanced AI work is undertaken.

The most advanced GTM teams are abandoning traditional CRMs like Salesforce as their primary interface. Instead, they use data warehouses (Snowflake, Databricks) for flexible data storage and push curated insights to reps directly within their workflows (Slack, email, Notion), eliminating the need for manual data entry and retrieval.

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.

Traditional sales profiles lack the technical depth for the AI era. The most successful hires for modern customer-facing roles are product managers, pre-sales engineers, and technical consultants. These individuals have the domain expertise to guide customers through complex workflow discovery and change management post-sale.

Most leadership teams cannot name a single owner for the go-to-market tech stack. This simple question exposes a critical lack of unified strategy and a significant opportunity for MarketingOps to step in as the central architect.

Frame your go-to-market strategy as an engineering problem. Create a dedicated 'GTM engineering team,' including actual engineers, to build a programmatic stack and apply a rigorous test-and-learn mindset to every GTM motion, from outbound campaigns to event strategy.

Historically, the most successful technology companies, like Snowflake and MongoDB, pair the greatest technologists with the greatest sales force. In the competitive AI market, having a superior product alone is not enough. A world-class go-to-market organization is a required counterpart, not a nice-to-have.

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.