What AI Companies Get Wrong About Executive Hiring
AI companies consistently underinvest in commercial and operational leadership. The founding team that built the technology is rarely the same team that can build the revenue function, the go-to-market motion, or the operational infrastructure that turns a strong product into a durable business. Recognising when to hire is the first problem. Finding the right person is the second — and harder — one.
Majhi Group places VP and C-suite executives at AI-native companies across enterprise software, infrastructure, and applied AI. Every search accounts for the unique dynamics of the category: rapid product evolution, intense talent competition, and the challenge of explaining what the company does to candidates who haven't followed the space closely.
The Roles That Matter Most at AI Companies
Critical Executive Hires at AI Companies
Unique Challenges in AI Executive Search
Technical fluency without technical limitation
The best commercial executives for AI companies understand the technology well enough to sell it credibly — but their identity is not engineer. Finding that profile requires sourcing in a specific stratum of the market.
Category creation vs. category entry
AI companies in emerging categories need executives who can define the problem before solving it for the market. This is a different skill than selling into an established category — and most candidates have done one, not both.
Compensation in a hyper-competitive market
The AI talent market is the most competitive in technology. Compensation benchmarking and equity structure matter more here than in almost any other vertical. Positioning the offer incorrectly is the most common reason good candidates decline.
"AI companies often hire too technically for commercial roles and too commercially for technical ones. The intake process has to surface what the role actually requires — not what a job description that was written in 90 minutes suggests."
How Majhi Group Approaches AI Executive Search
Every Majhi Group AI search begins with a deep brief — understanding the company's go-to-market motion, the maturity of the product, the competitive dynamics of the category, and what success in the role looks like in 12 and 24 months. That context shapes candidate profile, sourcing strategy, and the narratives used to engage passive candidates. The search closes in 30–45 days. The hire holds.