What 81,269 Job Postings Reveal About Hiring in 2026

Only 3.32% of the 81,269 job postings in this analysis disclose a salary range in a structured, parseable field. That single number frames everything that follows: this is a data study of 81,269 technology and startup job postings collected by JobJam's own job-discovery engine through June 25, 2026, drawn from company applicant-tracking systems (Greenhouse, Ashby, Lever, Personio, SmartRecruiters, Workable, Breezy, BambooHR) plus a handful of remote feeds — 2,696 companies across 11 sources. The picture it paints is a hiring market that is heavily senior, mostly remote at the top, cloud-native by default, and almost entirely silent on pay.

Key findings

• Only 3.32% of all postings disclose a salary range in a structured field — and the United States leads at 5.24% while Germany discloses just 0.61%.
• Of the 47,203 postings with a determinable work model, 54.0% are remote, 35.4% hybrid, and 10.6% onsite.
• A senior role is roughly twice as likely to be remote as a junior role (54.8% vs. 28.0%).
• The market skews senior: across 36,110 labeled postings the senior-to-junior ratio is 3.7 : 1, and senior, staff, and principal roles together account for 73.0%.
• Python leads the engineering skill stack, appearing in 41.9% of 21,401 engineering-titled roles, ahead of AWS at 28.2% and CI/CD tooling at 22.9%.
• The United States (15,820 postings) and Germany (9,073) are the two largest geographies, followed by the UK at 4,619.

Methodology and caveats

This study is built entirely on postings collected from applicant-tracking systems, which means the corpus skews toward funded tech startups and scaleups rather than the whole labor market. The findings describe technology and startup hiring, not employment broadly.

Work model and seniority are best-effort labels, not source-declared fields. They cover roughly 58% and 44% of postings respectively, and every rate we report (remote share, seniority mix, remote-by-seniority) is computed only on the labeled subset, not the full 81,269.

"Salary disclosed" means a structured, parseable salary field was present. Some postings bury pay in free text we do not capture, so the true disclosure rate is somewhat higher than 3.32%. The reliable signal here is the cross-country gap, not the absolute level.

Finally, posting counts are a snapshot, not a hiring-velocity time series. Month-over-month counts partly reflect growth in our own coverage, so they should not be read as a measure of how fast the market itself is expanding.

The salary-transparency gap

Across the full corpus, only 3.32% of postings expose a structured, parseable salary range. The rest leave pay either undisclosed or buried in free text our pipeline doesn't capture.

The geography is the story. US employers disclose at 5.24% — modest in absolute terms, but a different league from the EU. Germany, the corpus's second-largest market with 9,073 postings, discloses on just 0.61% of them: nearly nine times lower than the US. Singapore (0.38%), Ireland (0.25%), and Switzerland (0.21%) sit lower still.

One European market breaks the pattern: Poland discloses on 5.12% of its postings, almost matching the US and far ahead of every other country in the EU — a reminder that Europe's transparency laggards are making a choice, not bumping into a structural limit.

The timing makes the wider gap notable. The EU Pay Transparency Directive must be transposed into national law by mid-2026, obliging employers across the bloc to publish pay ranges — yet every EU country here except Poland discloses far less than the US does today. That is the distance the directive has to close. One caveat: because we only count a structured salary field, true disclosure is somewhat higher everywhere. But the field is applied uniformly, so the cross-country gap — not the absolute level — is the reliable signal.

Remote work and seniority

Across the 47,203 postings with a determinable work model, remote dominates the labeled set: 54.0% remote, 35.4% hybrid, and just 10.6% onsite. But that headline split hides a steep climb up the ladder. The more senior the role, the more likely it is to be remote.

A senior role is roughly twice as likely to be remote as a junior one (54.8% vs 28.0%). Juniors don't simply lose remote to onsite, though — onsite rates stay in a narrow 8.9%–15.0% band across every tier. What changes is the trade between remote and hybrid: 57.0% of junior roles are hybrid, the highest share of any tier, while hybrid falls to 36.3% for senior roles. Early-career postings push candidates toward a desk at least part of the week; senior postings more often offer work from anywhere.

The gradient is not perfectly monotonic. Remote rises from junior (28.0%) to mid (35.9%) to a peak at senior (54.8%), then eases back: staff sits at 51.1% and principal at just 43.4%, where hybrid climbs back to 46.2%.

A plausible read is that companies extend full remote as a seniority and retention perk, while expecting less-proven hires to show up in person. But these are postings, not employee outcomes, and the tier labels cover 44% of the corpus — so treat this as a pattern in how tech and startup employers advertise roles, not a proven causal rule about who gets to work from home.

The entry-level squeeze

The funded-startup market this corpus captures is built for people who already have a track record. Across the 36,110 postings we could label by seniority, senior roles outnumber junior ones 3.7 to 1 — 22,344 senior listings against just 5,975 junior. Junior openings account for only 16.5% of labeled roles, while senior, staff, and principal positions together make up 26,372 of them: 73.0% of the labeled market.

For a job seeker, the takeaway is concrete: nearly three-quarters of the labeled roles are pitched at people with demonstrated experience, and fewer than one in six target people starting out. That thin entry-level layer means the headline corpus size overstates how many of these postings are open to early-career candidates.

Two caveats keep this honest. These are tech and startup roles sourced from company applicant-tracking systems, not the broader labor market — and seniority is a best-effort label that covered 44% of postings, so every rate here is computed on the labeled subset, not the full corpus.

The 2026 stack employers actually ask for

Across 21,401 engineering-titled roles, one language towers over the rest: Python appears in 41.9% of postings, roughly 1.5 times as often as the next-most-requested skill. After Python, the picture is unmistakably cloud-native and ops-heavy. The three hyperscalers all rank in the top seven — AWS (28.2%), GCP (21.6%), Azure (16.9%) — and they travel with the delivery and orchestration layer: CI/CD pipelines (22.9%), Kubernetes (21.8%), Docker (15.7%), Terraform (12.0%). Together these read as a default infrastructure stack rather than a set of specialist asks.

Classic backend and web skills fill out the middle: Java (17.7%), SQL (15.3%), TypeScript (13.9%), React (12.3%), and C++ (11.5%). The much-hyped newer systems languages sit lower than their mindshare suggests — Go at 7.3% and Rust at 4.0%.

A method note on Go

These figures use strict word-boundary matching, which matters more than it sounds. A naive substring match badly over-counts short tokens: an early pass tagged "go" in roughly 80% of postings simply by matching inside words like "go-to-market" and "ongoing." Recomputing with word boundaries drops Go to its true 7.3%. We mention this because the same trap inflates any skill chart built on loose string matching — and because the difference between 80% and 7.3% is exactly the kind of error worth being transparent about.

Where the tech jobs are

The United States dominates this corpus with 15,820 postings — more than the next two countries combined. Germany is a striking second at 9,073, a signal of how much European startup and scaleup hiring this dataset captures. The United Kingdom (4,619) and India (3,213) round out the top four before a long tail of mid-sized markets.

European coverage is unusually deep here: Germany, the UK, France, Spain, and the Netherlands together account for 17,938 postings — more than the US on its own. That tilt reflects the ATSs we scrape (Personio and SmartRecruiters skew DACH and EU-enterprise), so read these counts as a map of where this engine looks, not a census of every open tech role worldwide.

What this means for your search

Four takeaways from the 81,269-posting corpus — each tied to an exact figure, and each describing tech and startup hiring specifically, since that is what this ATS-sourced corpus measures.

1. The volume of postings is senior-coded. Of the 36,110 postings we could label by seniority, 73.0% were senior, staff, or principal (26,372 roles), versus just 16.5% junior. The senior-to-junior ratio is 3.7 : 1. If you have the years, more of these listings are aimed at you; if you're early-career, the open pool of postings here is much thinner than the headline corpus size suggests.

2. Senior-coded roles are where the remote options concentrate. Among labeled roles, a senior role is ~2x as likely to be remote as a junior one (54.8% vs 28.0%). Remote share rises from junior (28.0%) to mid (35.9%) to senior (54.8%), then eases at staff (51.1%) and principal (43.4%). If remote matters to you, senior-coded roles are where both the volume and the remote share are highest.

3. Almost everywhere, expect to apply without a posted pay range. Only 3.32% of all postings disclose a structured salary range, and disclosure is thin even at the top: the US leads at 5.24% and Canada at 4.13%, which still means roughly 95% of US and Canadian listings show no range either. The cross-country gap is the real signal — Germany sits at 0.61%, the UK at 1.10%, and Switzerland at 0.21%. Wherever you apply, and especially in Europe outside Poland, research comparables first, because the listing almost certainly won't show a number.

4. Python plus one cloud is the most-requested skill combination. Across 21,401 engineering-titled roles, Python appears in 41.9% — the single most-requested skill by a wide margin. AWS (28.2%), GCP (21.6%), and Azure (16.9%) all rank in the top seven, joined by CI/CD pipelines (22.9%), Kubernetes (21.8%), Docker (15.7%), and Terraform (12.0%). The frequencies point to a "cloud-native default" stack, with Python and a major cloud the two most commonly requested pieces.

FAQ

What percentage of job postings disclose salary? Just 3.32% of postings in this 81,269-job corpus include a structured, parseable salary range. Disclosure is highest in the United States (5.24%) and lowest in Switzerland (0.21%), with most of Europe — Germany 0.61%, the UK 1.10% — far below the US. Poland is the lone European outlier, disclosing at 5.12%.

Are most tech jobs remote in 2026? Among the 47,203 postings with a determinable work model, 54.0% were remote, 35.4% hybrid, and 10.6% onsite. But remote availability rises sharply with seniority: 54.8% of senior roles are remote versus 28.0% of junior roles.

Which technical skills are most in demand? Python leads, appearing in 41.9% of 21,401 engineering-titled roles, followed by AWS (28.2%), CI/CD pipelines (22.9%), Kubernetes (21.8%), and GCP (21.6%). The cloud trio of AWS, GCP, and Azure all rank in the top seven, pointing to a cloud-native default stack.

How was this data collected? The data comes from JobJam's own job-discovery engine, which scrapes company applicant-tracking systems (Greenhouse, Ashby, Lever, Personio, SmartRecruiters, Workable, Breezy, BambooHR) plus a few remote feeds, covering 81,269 postings from 2,696 companies across 11 sources through June 25, 2026. Because the corpus is ATS-sourced, it skews toward funded tech startups and scaleups rather than the whole labor market, and remote and seniority are best-effort labels covering 58% and 44% of postings respectively.