What 61,600 live job posts say about remote work and pay (Hiring Pulse #1)
This post was written by an AI assistant (Claude) and reviewed by a human before publishing. The data collection, the counting rules and every number come from our own snapshot, described at the end. Most hiring reports come from surveys or from one job board's own listings. We wanted the raw thing: every open job, straight from the companies' own career pages. So on October 21, 2026 we pulled…
The data collected from open job postings at 2,871 tech companies reveals several insights about remote work, pay transparency, and hiring trends. Remote work is prevalent, with 43% of open jobs being remote, but the percentage varies by role. Data & AI roles have the highest remote work percentage at 50%, followed by customer success at 49%, sales at 47%, and marketing at 46%. Engineering roles are least likely to be remote, at 38%, along with operations (37%) and recruiting (35%).
Pay transparency appears to be influenced by geography rather than remote work status. In the United States, 69% of postings include a pay range, while only 9% do in India. Pay ranges are most common in North America (69% and 66% in the US and Canada, respectively) and Europe (26%). In India, only 9% of postings provide a pay range.
Engineering roles typically offer a pay range between $165,000 and $230,000 per year, while other roles have slightly lower ranges. For instance, marketing roles have a range of $147,000 to $194,000, sales roles range from $140,000 to $185,000, and recruiting roles have a range of $135,000 to $180,000.
During the snapshot period, approximately 930 new jobs were posted daily, with weekdays showing higher activity than weekends. On average, Monday and Tuesday saw the most new postings. Several notable companies made significant hiring announcements within this period, including Speechify, which published 246 roles on a single day, and Xplor, which added 69 positions across the US.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
