699,652 companies 29 industries 209 benefits 131,996 open roles

everything the offer letter leaves out.

search companies or benefits. compare what employers actually offer before you sign. every claim is sourced and dated.

different benefits matter at different stages of life

starting your career?

a first job sets your baseline. we track who pays for school, who matches your 401(k) from day one, and who feeds you while you learn the ropes.

6% the best 401(k) match on file. compounding starts now.

starting a family?

we collect leave policies, fertility benefits, ivf coverage, egg freezing and backup care in one place, so you can plan a life around it.

28 weeks of paid parental leave at the most generous company we've documented.

need sponsorship?

"we sponsor visas" can mean anything. we pull actual h-1b approval counts from federal data, plus who files green cards and who lets you work from abroad.

1539 h-1b approvals last fiscal year at our top sponsor, from uscis.

browse by benefit

perks hourly.

For hourly work the benefit is not the benefit, it is the threshold. Health cover you qualify for at 20 hours a week is a different job from the same cover at 30, and a schedule that never quite reaches the number is how a good benefit becomes a benefit nobody gets.

see the 2,782 employers

benefits tell you what you'll get. they don't tell you what it's like to work there.

that's why every company page also includes a culture profile.

browse companies
  • employee reviewsclearly marked as opinion, never dressed up as fact
  • hiring patternswho they actually hire, and where their people come from
  • office expectationsdays in office, how they work, on-call norms
  • photosreal office and team photos, never invented imagery

we are raising

Thank you to everyone who has sent us a careers page, corrected a number, or told a friend. Perks is 698,572 employers and 5,044,361 sourced facts, every one carrying the URL it came from and the date it was read. It was built by one person, and the whole corpus is hash chained so nothing in it can be quietly changed after the fact.

We are raising now, and talking to institutional and strategic investors who work on labour market data, hiring infrastructure, or the datasets that models are trained and grounded on. If that is you, we would like to show you where this goes next.

talk to us about investing