[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"company-jet-hr":3},{"slug":4,"name":5,"sectorValue":6,"sectorLabel":7,"size":8,"description":9,"locations":10,"avgRal":13,"ralRange":14,"contributionCount":17,"overallRating":18,"avgRatings":19,"salaries":22},"jet-hr","Jet HR","recruitment, digital","Recruitment, digital","201-500","Jet HR è presente nel dataset XCompenso con 2 contributi verificati. Le segnalazioni più frequenti appartengono alla categoria Recruitment, digital. Le sedi più presenti sono Italia, Milano.",[11,12],"Italia","Milano",55000,{"min":15,"max":16},45000,65000,2,4.1,{"workLifeBalance":20,"professionalGrow":21,"modernTechStack":21,"benefits":20,"training":20,"toxicEnvironment":21},4.5,5,[23,42],{"id":24,"role":25,"seniority":26,"location":11,"workMode":27,"ral":15,"stack":28,"updatedAt":41},6716,"Developer","1-3","Full-Remote",[29,30,31,32,33,34,35,36,37,38,39,40],"Python","Django","Vuejs","Vue","Typescript","Javascript","SQL","Postgres","Aws","GitHub","Tanstack","Docker","2026-04-19T10:53:59.292Z",{"id":43,"role":44,"seniority":45,"location":12,"workMode":46,"ral":16,"stack":47,"updatedAt":51},6158,"Data Engineer","10+","Ibrida",[29,48,49,40,50],"Snowflake","Sql","dltHub","2025-10-20T15:16:43.155Z"]