Why Tech Companies Now Only Hire Technical Leaders

In October 2025, Amazon cut roughly 14,000 corporate jobs. CEO Andy Jassy told staff the move was "not really financially driven, and it's not even really AI-driven, not right now at least." The real problem, he said, was layers: too much management sitting between people with ideas and people who ship.

That is the clearest signal yet of where tech is heading. The era of the paper-pushing leader, the person whose entire output was scheduling, summarizing, and forwarding, is ending. In its place, companies are paying record sums for technical leaders who can build, decide, and ship the work themselves.

This is not a soft trend. It shows up in layoff data, in compensation reports, and in the job titles that are exploding right now. If your value has been "I manage people," the market is repricing you in real time. Here is what the numbers say, and how to get on the right side of the shift.

The paper-pushing manager is first out the door

The management layer is being deliberately thinned. Gartner forecast that 20% of organizations would use AI to flatten their structures by 2026, eliminating more than half of existing middle-management roles.

That prediction is already playing out in headcount. Research from Live Data Technologies, reported by The Wall Street Journal, shows manager headcount fell 6.1% between May 2022 and May 2025, while executive-level roles dropped 4.6%. Korn Ferry's Workforce 2025 survey found 41% of employees say their companies trimmed management layers, a survey that covered 15,000 professionals worldwide.

The middle is no longer the safe place to sit. An analysis by Live Data Technologies found middle-management positions accounted for almost one-third of layoffs in 2023, up from 20% in 2018.

Every major tech company is running the same play. Meta's "year of efficiency" began in 2023, when Mark Zuckerberg said the company would flatten its organization by removing layers of management and asking many managers to become individual contributors again. Amazon's Andy Jassy told employees the company would raise its ratio of individual contributors to managers by at least 15% by the end of the first quarter of 2025, and Google's Sundar Pichai told staff the company had cut roughly 10 percent of its manager, director, and vice president roles in an efficiency push.

Read those cuts carefully. They are not aimed at the people writing code, closing customers, or shipping product. They are aimed at the coordination layer, the roles whose main function was passing information sideways.

What tech companies mean by "technical leaders" now

As the org chart compresses, the remaining leaders inherit far bigger teams. Gallup data shows the average manager went from 10.9 direct reports in 2024 to 12.1 in 2025, up from 8.2 when Gallup first measured span of control in 2013. Some analysts expect that number to keep climbing.

Source: Gallup, 2025 (2013 to 2025 actuals); 2028 figure is an industry projection. Chart by Archer Careers.

When one person runs 12 or 25 people instead of 7, a leader who cannot contribute directly becomes pure overhead. That is why the definition of "leader" is being rewritten around technical depth.

The founders leading this are explicit about it. The "founder mode" idea that Paul Graham described in his September 2024 essay, drawn from Airbnb's Brian Chesky, argued that great leaders stay deep in the details rather than delegating to a layer of professional managers. Operators are now taking that further. In one widely shared framing of "AI founder mode," the advice is blunt: stop hiring polished people managers and start hiring people biased toward execution, and the polished manager whose only output is other people's output has gone from a green flag to a red flag.

What replaces the pure manager is a hybrid. As traditional management roles are eliminated, companies are creating paths that combine technical depth with strategic responsibility, where experienced engineers take on project ownership, cross-team communication, and mentorship without becoming full-time managers. The new bar is simple: even an engineering manager still reads the code, and even a product leader still understands the system well enough to make real calls.

The money now follows technical depth

Compensation is the loudest proof. The old assumption that you had to manage people to earn the most no longer holds. At Google, the median L6 Staff Engineer earns about $579,576 in total compensation, while the L6 Engineering Manager at the same level earns about $590,551, essentially the same number.

At the frontier, deep technical talent pulls far ahead of any management track. OpenAI's L5 engineers have a median total compensation of $1,094,250, and the L6 median lands around $1.24 million, numbers no management track at a traditional tech company reaches at equivalent seniority.

Source: Levels.fyi, 2025 to 2026. Chart by Archer Careers.

The premium for the right kind of depth is widening. Levels.fyi data shows Staff-level AI specialists earned 18.7% more than their non-AI peers in 2025, up from 15.8% in 2024, and a Staff ML Engineer's reported range at Intuit reaches toward $948K at the high end while the median non-AI Staff Software Engineer there sits around $338,932. Same title, same company, a different pay universe.

Technical depth also buys stability. Staff Engineer roles have been more resilient through the 2022 to 2023 layoffs and the 2025 to 2026 AI-driven shifts, with cuts disproportionately hitting middle management, and Meta, Stripe, and Salesforce all explicitly named a flatter org as a goal during recent rounds. The paper-pushing layer absorbs the cuts. The building layer keeps its leverage.

Forward-deployed everything: where the demand is exploding

The pull toward depth is strongest in AI, and it is reshaping every technical role. According to the Dice 2025 Tech Jobs Report, 53% of U.S. tech job postings in November 2025 required AI or machine learning skills, up from just 29% a year earlier, and Lightcast data shows job postings requiring AI skills surged 109% from 2024 to 2025. The AI Workforce Consortium, led by Cisco, found that 78% of information and communications technology roles now require AI technical skills.

Meanwhile the generalist floor is falling out. Indeed's Hiring Lab found U.S. tech job postings were down 36% from February 2020 levels as of mid-2025, with generalist and entry-level roles hit hardest while specialized and senior roles stayed fiercely competitive, producing a two-speed market. Broad-but-shallow no longer clears the bar.

Nowhere is the "build it, do not just manage it" shift clearer than in the forward-deployed engineer, the hybrid who writes production code inside a customer's messy environment and owns the outcome. Forward-deployed engineering has seen the fastest growth of any job created by AI, with the number of positions increasing 42-fold between 2023 and 2025, according to LinkedIn. Posted FDE compensation in 2026 clusters in a $300K to $550K total-comp band for mid-to-senior roles, with staff and principal levels at frontier labs clearing $1M in headline numbers.

The demand is concentrated exactly where Archer places people. Hiring is clustering at Palantir, OpenAI, Anthropic, Google, Databricks, and a long tail of YC-backed application startups, and the most-listed skills are no longer just Python and SQL but customer discovery, problem decomposition, and AI product judgment. The role exists because depth is now the bottleneck. MIT's NANDA initiative found in its State of AI in Business 2025 report that 95% of enterprise generative AI pilots showed no measurable business impact. Companies do not need more people to coordinate that failure. They need people who can go into the code and fix it.

How to reposition as a technical leader

If your last few roles were mostly about running process, the fix is not to fake depth. It is to reframe and rebuild around it. Start with proximity: find where your experience is already closest to deep, in a domain like fintech, healthtech, or applied AI, and invest there rather than chasing the highest-paying field from scratch.

Then rewrite how you present yourself. Hiring managers for specialist roles look for evidence of depth, not breadth, which means your resume and profile need to be reorganized around a specialization: lead with the specific tools and systems, highlight the most relevant projects, and quantify the infrastructure you scaled or the pipelines you built. A profile that reads as "coordinated stakeholders across five teams" loses to one that reads as "designed and shipped the system those five teams depend on."

Precise positioning is often the entire difference between an offer and silence. Archer recently worked with a product manager at Google DeepMind who wanted to move to a frontier lab. By targeting the right labs and positioning his technical experience precisely, he landed a Member of Technical Staff role at Anthropic in 45 days: 34 targeted applications, 6 interviews, 3 offers. The technical depth was real. The job was making the market see it.

The same logic applies whether you are an engineer, a TPM, a growth leader, or a founder moving into an operator seat. Map the companies where your depth is a premium, not a nice-to-have, then build the resume, profile, and interview narrative that proves it. That mapping work, across 50 to 100-plus companies per search, is exactly where a placement partner earns its keep, because the difference between the two-speed market's fast lane and slow lane is often just knowing where to aim.

The takeaway is simple. The market is done paying a premium for people whose only output is other people's output. It is paying more than ever for people who can go deep and ship. Pick your depth, prove it, and point it at the companies that reward it.

Ready to make your next move?

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