The Executive Talent Market in 2026
The executive talent market for growth-stage technology companies in 2026 is characterised by three simultaneous dynamics: high demand for AI-literate functional leaders, compression of the available talent pool through the 2022–2024 tech layoff cycles, and a structural mismatch between the profiles companies are searching for and the candidates who are actually available in the market.
The result is a market where executive searches are taking longer than the industry median in the highest-demand roles — and where companies that wait for the perfect profile are routinely losing candidates to faster-moving competitors or watching strong candidates accept counter-offers from their current employers.
The Roles Taking Longest to Fill in 2026
VP Engineering: The combination of AI-era technical leadership requirements and the elevated supply of engineering candidates (post-layoff) has paradoxically not shortened VP Engineering searches — it has lengthened them. Companies are looking for VP Engineering candidates with genuine AI/ML fluency, a proven track record of building high-velocity engineering cultures, and the commercial orientation to partner effectively with a revenue team. This specific profile is scarce, and the searches for it are running 70–100 days at growth-stage companies.
Chief Revenue Officer: The CRO profile has evolved significantly in 2025–2026. The previous model — hire a VP Sales who becomes CRO as the company scales — is increasingly being replaced by a demand for genuine CROs who own the full revenue function including marketing, customer success, and partnerships from day one. This expanded scope requirement is narrowing the candidate pool substantially and extending searches.
Chief People Officer: The post-pandemic repositioning of the People function from HR administration to strategic people leadership has elevated the CPO role — and the supply of genuinely strategic CPOs at the growth-stage company level has not kept pace with demand. The best CPO candidates are receiving multiple approaches simultaneously and moving quickly when they decide to make a move.
What Is Working in 2026 Executive Searches
AI-literacy as a baseline, not a differentiator: Companies that were treating AI fluency as a differentiated requirement in 2024 are now treating it as a baseline requirement in 2026. Every functional VP — Sales, Marketing, Engineering, Product, People — is now expected to have a working understanding of how AI tools apply to their function and a perspective on how to deploy them strategically. Candidates who lack this understanding are increasingly unable to compete for the strongest roles.
Retained search is outperforming contingency search on time-to-fill: The pattern is consistent with prior market cycles. When the talent market is competitive and the best candidates are not actively seeking, the search model that reaches passive candidates through peer-level, non-recruiter outreach consistently outperforms the model that posts roles and waits. Majhi Group's average time-to-fill in 2026 is 41 days against an industry median of 65–90.
Equity narrative quality matters more than it has in years: In the low-interest-rate environment of 2020–2021, equity at growth-stage companies was easy to sell. In 2026, candidates are more sophisticated about equity valuation, liquidity timelines, and the probability of various exit scenarios. Companies that present equity with specific, well-reasoned narratives are consistently outperforming companies that present equity as a percentage grant without context.
What Is Not Working
Searching for the "unicorn" profile: The most common search failure pattern in 2026 is defining a profile that requires a combination of experiences that almost no single candidate has — and then spending 90 days learning that this profile does not exist, before resetting with a more realistic brief. The correction is to complete profile alignment before beginning sourcing, specifically to stress-test the profile against market reality before investing 90 days in a search that the market cannot fulfill.
Underinvesting in the offer process: The second most common search failure in 2026 is losing a preferred candidate at the offer stage — either to a counter-offer from their current employer, to a competing offer from another company, or to a compensation gap that was not identified early enough to bridge. The offer stage failures that Majhi Group observes are almost uniformly attributable to insufficient pre-offer process: the candidate's compensation expectations were not surfaced early, the equity narrative was presented late and inadequately, and the counter-offer risk was not managed proactively.
"41 days. A $275K search. Two firms failed in 60+ days. That's not luck — that's a different system."
— Majhi Group case study. Read the full case study →