Ganloss
The hiring layer for AI-native work
A marketplace where structured profiles meet structured roles. Show how you use models and tools—or hire with job posts that speak the same language.
For talent
Build a public profile that emphasizes projects and tools—not only job titles. Browse open AI-forward roles, compare peers on talent search, and apply with a profile employers can trust.
For employers
Post roles with explicit skills and tools so candidates self-select. Use search to filter by stack, then route people through contact or applications. Dashboard tools help you review pipelines and export when you need ATS handoff.
Why structured hiring matters for AI roles
AI hiring moves fast; job descriptions and CVs often lag behind what people actually build. Aligning job posts and profiles around the same vocabulary—tools, skills, shipped work—reduces noise on both sides and speeds up the first meaningful conversation.
Guides & landing pages
Deeper pages for search and sharing—employer hiring, job seekers, and an editorial guide to AI hiring best practices.
Frequently asked questions
Ganloss serves two sides: professionals building careers around AI, automation, LLMs, and data/ML, and employers who need that talent without wading through generic résumés. Both can use search, public job listings, and authenticated profiles.
Candidates highlight concrete skills, tools, and projects—what they shipped and how they used models or automation—so hiring teams see signal beyond buzzwords. Job posts mirror that structure with explicit skills and tools.
Candidates create an account, complete a short profile (headline, bio, optional CV link or PDF), and apply to listings in one flow. Applications stay tied to the verified account so recruiters review consistent context.
Employers can post and edit roles, browse and filter talent search, review applications and messages in a dashboard, and export applicant or inquiry data to CSV when they need to sync with an ATS or spreadsheet.
No. Any role where AI, agents, or automation is core to the work—product, engineering, marketing, ops, research—fits the platform. The focus is clarity on stack and outcomes, not a single job title.