Workeera is a WordPress job board plugin for tech and remote teams. It is built for hiring developers, engineers, and remote tech talent, and it aims to launch a professional job platform in minutes.
Its feature set centers on hiring workflows and search filters. The plugin includes remote, hybrid, and on-site filtering, plus timezone filters and location filters by country and city. It also supports salary filters by month, week, year, or day, and job types such as full-time, part-time, freelance, and temporary. Workeera lists tech-focused categories including Backend, Frontend, DevOps, Data Engineering, Blockchain, Web3, Game Dev, Mobile, and AI / ML. Listings can be marked with Featured and Urgent badges.
The product provides separate dashboards for job seekers and companies. The candidate dashboard includes an application overview, recommended jobs, a profile editor, and a multi-CV manager that lets candidates store multiple CVs and choose one for each application. The company dashboard supports posting and editing jobs, reviewing applications, managing the applicant pipeline, marking roles as filled, downloading applicant CVs, and updating status inline. The admin suite includes bulk actions, approval workflows, configurable listing duration, application limits, and internal and external apply modes.
Workeera is delivered as a WordPress plugin, built to WordPress standards, with no plugin dependencies. The page also states that it is 100% customizable. Contact details and a request for a demo or tailored walkthrough are provided on the site, but no pricing or license terms are stated.
Workeera sits in PulseGate's Business & Operations category. It focuses on enabling WordPress site owners to host and manage a remote tech job board without custom development. Workeera is a B2B product aimed at wordPress site owners and recruiters. Workeera costs nothing to use. It runs on the web.
It is developed by workeera, and it first shipped in 2026. Key capabilities include job posting, candidate profiles, and front-end dashboards.
Summary written by a language model from the project’s public pages.
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