CVin.Bio Research / April 2026
The Tech Talent
Report 2026
We track 17,836 active job listings across 171 tech companies in 18 countries. This report breaks down what those listings reveal about roles, skills, seniority, remote work, and regional hiring patterns.
86% of tech roles still require you to show up
Of 15,458 listings, only 13.9% are explicitly remote and 3.5% are hybrid. The remaining 82.6% require on-site presence. This aligns with broader industry data. According to LinkedIn Economic Graph, remote job availability in the US declined from about 27% in 2022 to roughly 16% by late 2024.
Remote roles skew toward engineering (39.8% of remote listings) and sales (15.7%). Product management is 6.5% of remote roles. Infrastructure and security are notably under-represented in remote work, each at just 1.3%.
Work arrangement
Engineering is the most remote-friendly function (40% of remote listings). Infrastructure and security are the least (1.3% each).
Breakdown of remote roles by function
Source: CVin.Bio, April 2026 · LinkedIn Economic Graph for US remote job trends
Every region has a different hiring personality
The role mix varies dramatically by geography. The US and India are engineering-heavy (35% each). Japan is the outlier where sales and business development (38%) far outnumber engineering (12%). This pattern is consistent with Japan Dev reporting that foreign tech companies entering Japan prioritize go-to-market roles because they need bilingual sales teams to navigate the local business culture. The UK splits almost evenly between engineering, sales, and leadership.
Top function: Engineering
Engineering and product hub
Top function: Engineering
Engineering and ops center
Top function: Engineering
Fintech and crypto hub
Top function: Sales & BD (22%)
Balanced across functions
Top function: Sales & BD (38%)
Sales-first market entry
Top function: Engineering
Most engineering-heavy
Role mix comparison by region (% of listings)
Japan is 38% sales roles. Remote listings are 40% engineering. Every geography has a completely different talent profile.
1 in 3 listings is for a software engineer
29.8% of all listings are for software engineers. Add data, ML, and infrastructure roles and technical positions are 35.8% of all listings. This is broadly consistent with the 2025 Stack Overflow Developer Survey, which found that JavaScript, Python, and SQL remain the top three languages used by professional developers.
Sales and business roles account for 10.6%. Product management is 4.8%. Dedicated security roles are only 1%, even though 14.7% of listings tag “security” as a required skill. Companies want security embedded in engineering, not siloed.
Design is 2.1%. Our dataset skews toward engineering-heavy companies. The broader market, including agencies and consulting, likely has different proportions.
Role distribution (% of listings)
Source: CVin.Bio, April 2026 · Stack Overflow Developer Survey 2025
Only 2.7% of roles are for new grads
2.7% of listings target interns or new graduates. 24.5% ask for senior-level. 6.7% are Staff or Principal. 54.1% do not specify seniority, which typically means mid-level (3 to 7 years).
The entry-level shortage is not unique to our dataset. According to LinkedIn, global hiring remains roughly 20% below pre-pandemic levels, and the slowdown has disproportionately affected junior roles as companies prioritize experienced hires who can deliver immediately.
Our dataset leans toward established companies. Smaller startups not covered here may have more entry-level openings. But the overall signal is clear: the industry is hiring for experience.
Seniority distribution
Source: CVin.Bio, April 2026 · LinkedIn Economic Graph for global hiring trends · BLS for CS graduate estimates
25% of listings require AI or ML skills
25.1% of listings tag AI or ML as a required skill. The 2025 Stack Overflow survey supports this shift. Python, the dominant AI/ML language, saw its largest single-year adoption jump in a decade (up 7 percentage points). Over 80% of developers now use AI tools in their workflow.
14.7% of listings require security skills, yet only 1% of roles are dedicated security positions. This is consistent with the LinkedIn trend toward skills-based hiring, where companies want capabilities distributed across teams rather than concentrated in specialist groups.
Go appears in 8.9% of listings, Python in 6.4%, SQL in 5.2%. Go's strength is driven by the infrastructure-heavy companies in our dataset. The Stack Overflow survey still shows JavaScript and Python as the most widely used languages overall.
Skill demand (% of all listings)
Most tagged skills
Source: CVin.Bio, April 2026 · Stack Overflow Developer Survey 2025 for language adoption trends
Go is the most tagged language, not Python
Go appears in 8.9% of tagged listings, ahead of Python (6.4%), SQL (5.2%), and JavaScript (1.9%). This is surprising given that the Stack Overflow surveyshows JavaScript and Python as the most widely used languages globally. Our dataset's Go dominance reflects the infrastructure-heavy companies we track, including Cloudflare, Datadog, and CrowdStrike. Java appears in 3.9% of listings, with India-based titles showing the highest density. TypeScript (2.1%) has effectively overtaken JavaScript (1.9%) in tag frequency, confirming the migration from JS to TS is now complete at these companies. Blockchain and Web3 appear in 0.3% of titles, concentrated at Binance (54% of all blockchain roles), OKX, and Coinbase. Singapore has the highest web3 tag density at 0.5%.
Languages by tag frequency
Niche but notable
Source: CVin.Bio, April 2026 · Stack Overflow Developer Survey 2025 for global language popularity
Backend engineers are 2x more common than frontend
Among engineering roles, backend (2.2%) outnumbers frontend (1.0%) by more than 2 to 1. Full-stack is 1.2%. Cloud roles are the most remote-friendly specialization at 29.8% remote. AI Engineer roles are the least remote at 8.6%, likely because AI development requires access to proprietary compute clusters. Coinbase and Grab lead in backend hiring. Binance dominates frontend. OpenAI has the most full-stack and embedded roles.
Engineering specializations (% of titles)
Remote rate by specialization
Cloud roles are 30% remote. AI Engineer roles are only 8.6% remote. The more proprietary the compute, the less remote the work.
Source: CVin.Bio, April 2026. Specializations extracted from job title keyword matching across 15,458 listings.
AI requirements vary wildly by function
40.3% of engineering listings require AI or ML skills. For data roles, it is 31%. For product management, 31.6%. Even 23.1% of sales roles now tag AI as a requirement, likely for selling AI products rather than building them.
Design roles are at 28.6%, which is unexpectedly high. This likely reflects the growing demand for AI-native product design, where designers need to understand LLM capabilities and limitations.
This level of AI demand aligns with the Linux Foundation's 2025 findings that 68% of organizations report being understaffed in AI/ML, and core AI skills are present in fewer than half of organizations. The supply-demand gap is real.
AI/ML requirement by function
40% of engineering listings now require AI skills. Even 23% of sales roles tag AI as a requirement. AI literacy is becoming a cross-functional expectation.
Most common skill pairs (co-occurrence)
Remote % by seniority
Source: CVin.Bio, April 2026. Co-occurrence and cross-tabulation analysis across 15,458 listings.
“GenAI Engineer” is now a distinct job category
0.35% of listings now include “GenAI” in the title. Another 0.16% mention “LLM” explicitly. Combined with “AI Engineer” (0.57%) and “ML Engineer” (0.93%), roughly 2% of all open roles fall into an AI-specialist title category. The Linux Foundation's 2025 Tech Talent reportfinds that AI-specific roles have a net hiring effect of +54%, the highest of any category. India has the highest GenAI/LLM title density at 2.9%, nearly 3x the US rate (0.55%). Singapore leads in AI Engineer titles at 1.2%. Japan has zero GenAI or AI Engineer titles. Companies like Datadog, Pinterest, and Airbnb are creating “Staff GenAI Engineer” roles at the Staff+ level, signaling these are career-track positions.
AI title categories (% of listings)
GenAI/LLM title density by region
India has 3x the GenAI title density of the US. This may indicate Indian engineering offices are becoming GenAI development hubs, not just execution centers.
Source: CVin.Bio, April 2026 · LF 2025 Tech Talent for net hiring effects
Kubernetes and Snowflake are the most in-demand tools
Snowflake appears in 3% of tagged listings, ahead of Kubernetes (2.7%) and React (2.2%). This reflects the data infrastructure boom and the fact that nearly every company now runs analytics workloads. LangChain already appears in 0.8% of tags, matching Spark, which has been an industry standard for over a decade. PyTorch (0.7%) has pulled ahead of TensorFlow (0.4%), consistent with the Stack Overflow survey findings. On cloud platforms, AWS dominates everywhere except Singapore, where GCP leads at 6.1% vs AWS at 5.1%.
Top frameworks and tools (% of tagged listings)
AI/ML tooling (% of tagged listings)
Cloud platform leader by region
Source: CVin.Bio, April 2026 · Stack Overflow Developer Survey 2025 for framework trends
AI labs and fintech are scaling the fastest
OpenAI currently has 612 open roles. Anthropic has 426. Together that is over 1,000 positions at just two AI labs. LinkedIn identifies AI Engineer as one of the fastest-growing job titles in 2025-2026. Fintech is the other high-growth sector: Visa has 758 open roles, Airwallex has 513, Stripe has 508. Infrastructure companies like Cloudflare (498 roles) are also expanding, driven by AI compute demands. The LF 2025 Tech Talent report finds that 2.7x more organizations have expanded than reduced their workforce due to AI, with a net hiring effect of +21%.
Hiring by sector (among tracked companies)
AI net hiring effect (LF 2025)
Source: CVin.Bio, April 2026 · LinkedIn Economic Graph · LF 2025 Tech Talent
What each region actually hires for
The skill profile of job listings changes significantly by geography. The US leads in AI demand (31.8% of listings tag AI). Singapore is infrastructure and platform-heavy (32.5%). India prioritizes mobile (16.3%) and engineering (31.7%). The UK is the most AI-forward outside the US at 34.7%. Japan is the sales and compliance outlier.
USA top skill tags
UK top skill tags
Singapore top tags
India top tags
Japan top tags
Singapore stands out for “finance” (26.5%) and “platform” (32.5%) tags, consistent with MAS reporting that Singapore now hosts over 700 Web3 firms. India has the highest “mobile” tag rate at 16.3%, more than double any other region, but the lowest AI tag rate (13%), which may indicate India offices are used more for engineering execution than AI R&D. Japan's profile reflects go-to-market priorities: “Sales” and “solutions” rank high, consistent with Japan Dev reporting that foreign tech companies entering Japan hire sales teams first.
AI tag penetration by region
Mobile tag density by region
India has 2.5x more “mobile” tagged listings than any other region. It also has the lowest AI tag rate at 13%, well below the US (32%) and UK (35%).
Source: CVin.Bio, April 2026 · MAS Fintech · Japan Dev
Eight patterns in the data
Remote work is not the default
Only 14% of listings are remote. This matches LinkedIn data showing US remote listings dropped from 27% (2022) to ~16% (2024). The shift was real but limited.
Every region hires for different roles
USA and India are 35% engineering. Japan is 38% sales. The UK splits evenly. India is 2.5x more mobile-heavy than any other region.
AI skills are table stakes
25% of listings require AI/ML. 40% of engineering listings tag AI. Even 23% of sales roles now require AI literacy.
Entry-level hiring is thin
2.7% of listings target interns or new grads. LinkedIn confirms this is a market-wide pattern. Companies are prioritizing experienced hires.
Security is embedded, not siloed
14.7% of listings require security skills, but only 2.8% are dedicated security roles. The skill is being distributed across teams.
Go is the top tagged language
Go appears in 8.9% of tagged listings, ahead of Python (6.4%) and SQL (5.2%). Cloudflare, Datadog, and similar firms treat it as the default.
Backend is the most remote-friendly spec
23% of backend roles are remote vs 8.6% for AI Engineer roles. Cloud roles have the highest remote rate at 30%.
Blockchain hiring is alive but concentrated
Web3 and blockchain appear in 0.3% of titles. Binance alone accounts for 54% of all blockchain roles. Singapore has the highest web3 tag density at 0.5%.
Methodology
This report is based on 17,836 live job listings tracked by CVin.Bio. Listings come from 171 companies across 18 countries. Our dataset skews toward well-funded tech companies, AI labs, and fintech. Where possible, we cross-reference patterns with external sources including the Stack Overflow Developer Survey, LinkedIn Economic Graph, and the Linux Foundation 2025 Tech Talent Report.
Regional skill profiles are derived from tag-level analysis across all listings. Programming languages and engineering specializations are extracted via keyword matching against job titles. Role categories and seniority levels are inferred from title keywords. All data is from active listings as of April 3, 2026.
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