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Pave Hot Jobs Index

Powered by Real-Time Employee Data from 9,000+ Pave Customers

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Hot & Cold Jobs in Q1 2026

Which jobs are on the rise and which jobs are declining?

Monthly Summary

What are the big takeaways from the Hot & Cold Job Index this month? Here's a breakdown.

The AI boom heats up chipmaking jobs
The AI boom heats up chipmaking jobs

As the use of AI increases, so too does the need for the chips and semiconductors that power the industry. Because of this, it's no real surprise that roles like Layout / Mask Design and ASIC Engineering appear in the Hot Jobs list—both are vital jobs in chip manufacturing.

The AI builders lead the pack
The AI builders lead the pack

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Web development cools in the AI age
Web development cools in the AI age

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Methodology
Methodology

Drawn from Pave's real-time dataset of 2M+ employees across 9,000+ companies, skewed toward technology companies.

The Hot Jobs Score measures which roles are gaining or losing momentum across the workforce - ranked from −100 (cooling fast) to +100 (heating fast).

The score combines two signals:
- Hiring Momentum (65%): how a role's share of new hires is trending over time
- Workforce Prevalence (35%): how a role's share of total headcount is trending over time

Both signals are measured as a growth rate relative to baseline, so a small-but-fast-growing role is compared fairly against a large established one. Each is converted to a percentile rank across all eligible job families, then combined into the final score.

Alongside the score, we surface a supporting compensation signal, the new-hire to employee pay ratio, which compares recent-hire median base pay to the broader population. A ratio above 1 indicates employers are paying a premium to attract new talent into that role, a sign of real market competition.

Scores cover tech job families, exclude executive levels, and require a minimum number of employees and companies per job family to ensure statistical reliability. The company panel is held constant across time so trends reflect role composition, not reporting changes.

Macro Trends

Broad labor market and hiring trends powered by Pave's real-time dataset of 9,000+ companies

Hires Rate
1.7%
% of Employees Hired in that Month
Expand trend
Hiring Rate by Industry
346.7%
% of New Hires at Native-AI Companies Relative to Q1 2023
Expand trend
Annualized Turnover Rate
16.1%
Annualized Turnover Rate at Public Companies
Expand trend
Young People in the Workforce
6.1%
% of Employees between the Ages of 21-25 in the Workforce
Expand trend
Average Age
37.7
Average Age of Workforce
Expand trend
Gender Representation
38.9%
% of Workforce that Self-Identifies as Female
Expand trend
Talent Alpha
India
Country with the most "Talent Alpha" based on Talent Density and Talent Cost
Expand trend
Talent Alpha by Function
India
Best places to hire for engineering and customer support based on talent density and talent cost
Expand trend
Cost of Labor vs. Cost of Living
Charlotte, NC
Highest leverage US metro to live in based on cost of labor vs. cost of living
Expand trend

Emerging Jobs

Jobs on the rise that Pave is actively tracking

Forward Deployed Engineer

Deeply embedded technical support to implement and customize complex AI systems

AI Transformation Lead

Identify where AI can generate the most value within an organization and lead the change management efforts required to realize it

GTM Engineer

Sits at the intersection of sales, marketing, and software and is responsible for building and operating the AI-powered systems that drive revenue growth

AEO/GEO Specialist

Focus on ensuring that companies surface meaningfully in AI-generated responses, extending and in some cases supplanting search engine optimization (SEO)

AI Product Manager

Product manager who is focused on building native-AI products and features

Meet PaveOS

The AI-powered operating system for compensation

Connect your HCM, EMS, and ATS platforms to PaveOS to benchmark compensation in real-time, price jobs, run merit cycles, and communicate total rewards—all in one place.

Access real-time compensation benchmarks from more than 8,700 companies, driven by AI-powered job matching and predictive machine learning, to set pay with confidence.

Price jobs with ease and build competitive pay ranges using automation and machine learning to blend and analyze compensation data from multiple sources.

Deliver your next merit cycle on time and on budget with elegant workflows that allow you to manage, drive, and analyze pay decisions in real-time.

Wow candidates and engage employees with dynamic, always-on total rewards portals that communicate the full value of your investment in people.

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