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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.

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Contrary to the belief that deep-tech startups should be purely technical, ElevenLabs prioritized distribution early. Their first 10 hires included 3 people focused on go-to-market and growth, enabling both self-serve and sales-led motions from the start alongside foundational research.

Sales coaches excel at turning a functional, founder-led sales process into a scalable machine. They are not equipped to solve the fundamental problem of figuring out your initial case study and factory from scratch. Hiring one before you have a repeatable motion is premature and will likely fail.

The talent pool for experienced AI GTM managers doesn't exist yet. Instead of hiring externally, find an internal employee—perhaps a quantitative SDR or RevOps analyst—who loves data, enjoys training systems, and is eager to manage your agents.

Many AI and PLG companies in a hot market are not actually selling; they're taking orders, much like early Salesforce. The companies that build a world-class, value-based sales organization now, even if it seems unnecessary, will be the ones who win when the hype cools and competition intensifies.

Companies are replacing traditional, siloed sales assembly lines with a centralized "GTM Engineer." This technical role uses AI and automation tools to build revenue systems, absorbing the manual research and prospecting work previously done by individual reps. This allows for rapid learning and scaling of creative ideas across the entire team.

Before scaling a sales organization, founders must personally learn how to sell the product, even if they do it poorly. This hands-on experience provides an invaluable, holistic understanding of the full customer journey, which is critical context that cannot be outsourced or delegated when building a GTM engine.

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.

Technical founders often mistakenly fall in love with product marketers first. However, at the early stage, the single most important function of marketing is generating leads. A new CMO who prioritizes a website redesign over demand gen is a major red flag; the focus must be on building pipeline.

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.

While development is a core skill, it sits lower on the hierarchy than sales, marketing, and product. Companies can bootstrap to millions in ARR with strong go-to-market execution and fix technical debt later, but the reverse is rarely true.