State of Tech Hiring 2026: What 106,000 Job Listings Reveal | JobScroller

106,271<br>Active listings<br>as of June 2026

2,533<br>Companies hiring

13,559<br>New this week

16%<br>Disclose salary

Finding #1<br>Return to office is no longer a debate — it is the default<br>Of 106,271 active tech listings, 85% are in-office roles . Only 14% are fully remote. This is a near-complete reversal from the 2021–2022 era when remote-first hiring was the dominant hiring signal. The shift has been gradual and is now structural — most companies list an office location without a remote option, and have stopped apologizing for it.<br>Note: hybrid is likely undercounted — many hybrid roles are listed with a city location and no explicit label. The remote figure (14%) reflects roles where "remote" appears explicitly in the location field.

Finding #2<br>AI is no longer a specialty — it is an expectation<br>"AI" appears in the tech stack of 25,976 listings — nearly 1 in 4 active roles . LLM, Agents, Fine-tuning, and Machine Learning follow closely. This is not just AI companies hiring AI engineers. These tags show up across security, DevOps, mobile, and product roles. The market has shifted from "we have an AI team" to "we expect AI fluency everywhere."<br>AI appears in nearly 1 in 4 tech job listings — more than AWS, Python, or any other technology.

Most in-demand technologies (active listings)<br>AI

25,976<br>AWS

13,211<br>Python

10,655<br>Go

9,463<br>Java

5,432<br>LLM

5,257<br>Kubernetes

4,917<br>AI Agents

4,574<br>Machine Learning

4,243<br>React

4,070<br>TypeScript

3,616<br>Fine-tuning

3,200

AI-highlighted rows indicate AI/ML-specific technologies

Browse AI and ML roles right now<br>25,976 active listings mention AI — filtered, salary-sorted, no account needed.

View AI jobs →<br>Finding #3<br>The remote salary premium has disappeared<br>For years, remote jobs at top companies commanded a premium — or at minimum matched in-office compensation. That era is over. Across 17,432 listings with disclosed salary data, the median compensation for remote and in-office roles is now virtually identical : $168k remote vs $170k in-office — a difference of $2k, within any reasonable margin.<br>$170k<br>In-office median

$168k<br>Remote median

−$2k<br>Remote "premium"

The P25–P75 salary range across all listings is $127k–$215k , with an overall median of $170k. The implication: location is no longer a salary lever for most candidates. Companies are calibrating to the role and the candidate, not the zip code.

Finding #4<br>Defense and healthcare are outpacing pure tech in headcount growth<br>The top 10 hiring companies by open role count include no traditional software-first companies in the top 5. Carvana leads with 1,993 open roles, followed by NVIDIA (1,913), Cleveland Clinic (1,883), Leidos (1,857), and GE Vernova (1,839). Defense contractors — Leidos, RTX, Booz Allen, Anduril — account for four of the top ten. Healthcare — Cleveland Clinic, Medtronic, Intermountain — for three.<br>Defense contractors and hospital systems are now among the largest tech employers in the country.

Top 15 companies by open roles<br>#CompanySectorOpen roles1CarvanaAutomotive / Tech1,9932NVIDIASemiconductors1,9133Cleveland ClinicHealthcare1,8834LeidosDefense1,8575GE VernovaEnergy / Industrial1,8396Johnson ControlsIndustrial / IoT1,7407Anduril IndustriesDefense / AI1,7278Booz Allen HamiltonDefense / Consulting1,6399RTXDefense / Aerospace1,63210TicketmasterEntertainment Tech1,40911Palo Alto NetworksCybersecurity1,36012SalesforceEnterprise SaaS1,18913SpaceXAerospace1,14314Veeva SystemsLife Sciences SaaS98715AdobeCreative Software986

Finding #5<br>Engineering managers earn more than any individual contributor role<br>Based on 17,432 listings with disclosed compensation, Engineering Managers have a median posted salary of $252k — $39k above the next highest individual contributor category. ML/AI Engineers are the top-paid IC role at $213k, reflecting the ongoing demand for applied AI skills. The biggest gap is at the bottom: Data Analysts earn a median of $135k, $60k below a typical Software Engineer.<br>Among specific tech stacks, AI/ML tooling commands the highest premiums. Roles requiring PyTorch have a median of $223k; those mentioning fine-tuning or SageMaker cluster around $212k. Infrastructure tooling has also repriced upward — Pulumi ($215k), OpenTelemetry ($210k), and Temporal ($207k) all signal that platform engineering specialization is increasingly well-compensated.<br>Highest-paying tech stacks (median salary, ≥20 data pts)<br>PyTorch$223k<br>Pulumi$215k<br>SageMaker$213k<br>Fine-tuning$212k<br>OpenTelemetry$210k<br>Bedrock$208k<br>Temporal$207k<br>Kubernetes$201k<br>.NET$213k

Finding #6<br>San Francisco leads — but London is now bigger than Austin and Boston combined<br>San Francisco remains the top hiring market by a wide margin with 6,446 active listings, followed by New York across its metro area (~4,886 combining city and NYC listings). The standout finding: London at 2,464 listings outpaces Austin, Los Angeles, and Boston individually — making it the third-largest...