Hiring in 2026 Is Weird (And Where the Jobs Actually Are)

Hiring in 2026 feels weird.

On one side of the feed you see “hiring freeze,” “restructuring,” and another round of tech layoffs. On the other, Hirebase is still pulling thousands of new roles every week. So what’s actually going on?

Over the last 24 hours we pulled two fresh slices of our own data:

• 50 new roles from a global consumer tech company (TikTok) over the last 7 days
• 50 new roles from a pan‑European retailer (Lidl) over the last 30 days

Then we cross‑checked that against recent research on 2026 hiring trends. A few things stand out.

The “Great Freeze” is real… but it’s not universal

External data is pretty blunt:

• Crunchbase is still counting six‑figure layoff totals in U.S. tech alone into 2026.
• SaaStr calls it the “Great Freeze”: in many well‑paid fields (data analytics, software, marketing) the new playbook is “don’t hire unless you absolutely have to.”

That’s exactly what we see in our own index: far fewer generic mid‑level “Software Engineer” and “Data Analyst” roles than you’d expect for this stage of the cycle, and a lot more precision in the roles that do get opened.

Headcount is shifting from “builders” to “optimizers”*

In our TikTok slice, the dominant themes weren’t classic IC engineering – they were optimization and monetization roles:

• Client Solutions Managers, Product Marketing Managers, and Agency Partner roles who can use data to squeeze more performance out of ads and commerce.
• Data & analytics-heavy ICs (Data Scientist, Data Analyst, ML Engineer) where Python/SQL and experimentation are front and center.
• Governance / Trust & Safety / Compliance roles that sit between product, legal, and policy.

Job descriptions lean hard on three core categories; SQL, Python, experimentation, dashboards, ROI / LTV / CAC literacy, Cross‑functional collaboration (Sales, Product, Ops, Legal), and metrics ownership such as GMV, retention, advertiser satisfaction, fraud loss, etc.

The headline isn’t “no one is hiring engineers”; it’s closer to: “we’re hiring fewer generalists and more people who can move one critical number.”

The real volume is in frontline + management pipelines*

Now contrast that with the Lidl slice:

• Dozens of roles for store staff, sales assistants, logistics, and cleaning staff across Europe
• A lot of assistant store managers, shift leads, and graduate/Abiturienten programmes -– essentially management pipelines for the next 3–5 years
• A single, very specialized Data Science Expert role (Python, XGBoost, fbProphet, etc.) embedded inside that retail machine

From a labor‑market perspective, that’s loud:

• Even while white‑collar tech tightens, frontline retail, operations, and local management are still hiring at scale.
• Large employers are doubling down on structured career ladders (trainee → assistant → store manager) rather than ad‑hoc mid‑career hires.
• The “data” trend shows up here too: even grocery retailers now hire in‑house DS/ML to optimize pricing, inventory, and workforce planning.

If you only watch tech Twitter, you miss the fact that the center of gravity for new roles has slid toward operations, retail, and data‑enabled management, not away from hiring altogether.

What this means if you’re on the market

Putting the research and our own data together:

• Mid‑level generalists have the toughest road. If your profile is “solid X years of backend” without a clear business lever attached (payments, fraud, infra reliability, ads, etc.), 2026 is unforgiving.

• Specialization + metrics travel well. The people still getting multiple offers are the ones who can say “I own conversion/fraud loss/churn for this surface and here’s what I moved.” That’s true whether the employer is a social app or a supermarket chain.

• Hybrid profiles are quietly winning. Roles that blend domain + data + people leadership (store managers with P&L, client solutions leads, data‑savvy product marketers) are all over the dataset.

• Geography and sector matter less than they used to. Tech, retail, and e‑commerce are all hiring for the same underlying muscles: data literacy, process design, and the ability to run teams against targets.

At Hirebase, we’re trying to make that reality less opaque: normalizing skills, mapping roles across sectors, and exposing the patterns that sit underneath the headlines.

If you’re trying to navigate this market, the practical takeaway is simple: pick a metric that matters to your business, and get very, very good at moving it. The market is still hiring for that.

Sources:

• Hirebase (TikTok roles, Jan–Feb 2026)

• Hirebase (Lidl roles, Jan–Feb 2026)

• InformationWeek – “2026 tech company layoffs” (survey of U.S. hiring managers, AI as a driver of layoffs) – https://www.informationweek.com/it-staffing-careers/2026-tech-company-layoffs

• Crunchbase News – “Tech Layoffs: US Companies With Job Cuts In 2024 And 2025 (continuing into 2026)” – https://news.crunchbase.com/startups/tech-layoffs/

• Robert Half – “2026 Technology job market: In-demand roles and hiring trends” – https://www.roberthalf.com/us/en/insights/research/data-reveals-which-technology-roles-are-in-highest-demand

• U.S. Veterans Magazine – “2026 Workforce Forecast: Where the Jobs Will Be” – https://usveteransmagazine.com/usvm/2026-workforce-forecast-where-the-jobs-will-be/

• SaaStr – “The Rise of Invisible Unemployment in Tech: 2026 Will Be The Year When Everything Really Changes” – https://www.saastr.com/the-rise-of-invisible-unemployment-in-tech-2026-will-be-the-year-when-everything-really-changes/