Between 2020 and 2022, the enterprise software and SaaS industry hired as if the growth would never stop. Venture capital was abundant, valuations were inflated, and the operating assumption across much of the sector was that adding headcount was the same thing as adding capacity. GTM teams doubled. Sales headcount tripled. And then the market corrected, sharply and without mercy. The layoffs of 2023 and 2024 were, in large part, the industry paying the price for hiring decisions made without sufficient rigour.
The question for 2026 is whether enterprise software, SaaS, and AI companies have actually changed how they hire, or whether they are beginning to repeat the same pattern as confidence returns and budgets loosen. The evidence is mixed. Some companies have genuinely internalised the lessons of the correction. Others are already showing signs of reverting to the headcount-as-strategy playbook that caused the problem in the first place.
What Over-Hiring Actually Looked Like
The over-hiring of the 2020 to 2022 period was not random. It followed a specific pattern. Companies hired ahead of revenue, predicting growth that had not yet materialised. They hired for roles that did not yet have a clear function, on the theory that smart people would find ways to add value. They hired to signal momentum to investors, knowing that headcount growth was being used as a proxy for business momentum in a market where actual metrics were less compelling than they appeared.
The GTM function was particularly susceptible to this dynamic. Adding sales reps feels like adding revenue capacity. In practice, a sales hire who joins before the product, the process, and the support infrastructure are ready to support them will not generate revenue. They will generate a salary burn, a frustrated hiring manager, and an eventual attrition event that costs more than the hire did. Many of the layoffs of the correction period were not underperformers being exited. They were people who were never set up to succeed.
The Shift Toward Surgical Hiring
The companies navigating 2026 well are not hiring less. They are hiring differently. The approach has become more deliberate, more specific, and more focused on the precise impact a hire is expected to have rather than the general category of role they are filling. A company that would have hired three Account Executives in 2021 is now more likely to hire one exceptional one, build the infrastructure to support them properly, and wait until that hire has demonstrated the model works before adding resource.
This is not caution. It is precision. And it changes what the ideal search process looks like. A surgical hire requires a more specific brief, a narrower candidate profile, and a more rigorous assessment process. The days of briefing multiple agencies on a broad spec and hoping someone close enough turned up are over for the best operators. They are working with specialist search partners who can define and find a specific profile, not search firms producing volume in the hope that something lands.
AI-native companies are accelerating this trend. When your product is powered by AI agents rather than static software, the GTM hire you need is fundamentally different. The traditional enterprise AE profile built on relationship selling and product demos is not sufficient. The market now requires candidates who can position AI-driven value in a language that resonates with buyers who are simultaneously excited and sceptical. That is a narrower profile than it sounds. Finding it requires a more targeted search, not a broader one.
The Metrics That Have Changed
The GTM metrics that boards are focused on have shifted materially since the correction. Gross revenue retention and net revenue retention have become primary indicators of business health in a way they were not when growth was the only thing investors cared about. This has a direct implication for GTM hiring. Customer Success leadership, previously treated as a support function, is now a revenue-critical hire that boards care about directly. Presales and solutions engineering roles, once afterthoughts in the hiring priority stack, are now recognised as win-rate determinants that justify significant search investment.
The companies building durable GTM teams in 2026 are hiring across the full revenue function, not just adding quota-carrying salespeople. They are hiring for retention as well as acquisition, recognising that the true measure of a GTM team is not pipeline generated but revenue that stays.
Where Companies Are Still Getting It Wrong
The most persistent mistake in 2026 GTM hiring is using the same process for a surgical hire that was used for the volume hiring of the growth era. Posting on job boards and briefing generalist recruiters was barely adequate when you were hiring for broadly defined roles with flexible requirements. For the specific, impact-focused hires that the current market demands, it is entirely inadequate.
The best candidates for these roles are not on job boards. They are not actively looking. They are in post, delivering results, and considering their next move carefully because the market has taught them that moves carry risk. Reaching them requires a search process built around relationships, not algorithms. It requires a partner who knows them, has credibility with them, and can articulate why this specific opportunity is worth their attention. That is not something a generalist recruiter or an automated sourcing tool can reliably deliver.
What Intelligent GTM Hiring Looks Like in 2026
The enterprise software, SaaS, and AI companies building the strongest GTM teams this year are doing a small number of things consistently. They are defining roles with precision before they start searching. They are being realistic about what success looks like in the first twelve months and building that expectation into the brief. They are investing in the search process rather than treating it as a cost to be minimised. And they are measuring the quality of their hires over time, not just the speed at which roles get filled.
The companies that came through the correction strongest did not emerge by luck. They emerged because they made better hiring decisions during the growth phase: more specific, more rigorous, more focused on long-term retention than short-term headcount. That discipline is now the competitive advantage, in a market where the quality of your GTM team is more important than its size.
Strong Search works with enterprise software, SaaS, and AI companies at every stage of growth to build GTM teams that perform and stay. If you are rethinking your hiring approach for 2026 across SaaS, enterprise software, or AI-native businesses, we would welcome a conversation about what a more surgical search process looks like in practice. Book a call with the team.
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