About

Built for tech professionals making real career decisions.

PayBench is a data-driven salary intelligence platform focused on the European tech market. It aggregates benchmark data from multiple public sources, normalizes observations across roles and markets, and publishes structured salary, freelance, and demand pages designed to help candidates negotiate confidently.

Mission

Give tech candidates, contractors, and hiring teams a reliable, transparent view of what compensation actually looks like in European markets — starting with Germany, the largest tech employment market in the EU.

Markets covered

Germany is the primary launch market, with Netherlands, Sweden, Poland, Czechia, Spain, Italy, and France in the roadmap. Coverage starts with IT and software engineering roles in priority cities.

Data approach

Every benchmark page shows sample size, confidence score, and data freshness alongside the salary range. Pages with insufficient data are suppressed from indexing to keep published routes trustworthy.

Trust signals

Editorial ownership

PayBench publishes benchmark pages as a maintained product, not a passive content farm. The public contract is simple: every canonical route must show visible evidence for sample size, freshness, and source breadth before it is treated as indexable.

Data provenance

Source lineage is tracked from import batch to normalized observation to published rollup. Public pages expose route facts, freshness, and source counts, while internal lineage stays anchored to source records and import batches.

Public reference pages: methodology, llms.txt, and the route-specific route-facts endpoint.

Publishing and review policy

Weak or stale route combinations are suppressed or marked noindex instead of being published as thin pages. Trust pages and public benchmark templates are reviewed whenever route-facts, metadata, or publishing thresholds change.

Current review baseline: June 2026. Canonical host policy remains paybench.net and the public site is operated in English-only indexing mode.