Practical career guidance and signals from the hiring market.
Browse by topic
58 articles
A practical operating system for finding the right roles, building evidence, tailoring applications, tracking interviews and deciding when to accept an offer.
The ApplyDjinn catalog shows huge AI demand beside durable cloud, language, data and delivery skills. Build a two-layer portfolio that can survive the next tool cycle.
A skill rarely appears alone. ApplyDjinn analyzed 5,836 current vacancies to find the cloud, language, agent and frontend combinations employers are asking teams to deliver.
Résumés, job descriptions and pasted notes can contain hostile instructions. A practical defense treats them as untrusted data, validates structured output and keeps secrets and tools outside the model boundary.
A shared technology does not make two jobs equivalent. Learn how role family, core evidence, seniority and practical constraints turn keyword overlap into a useful vacancy shortlist.
Working well with AI agents is not maximum delegation. It is choosing the right mode, defining a boundary, reviewing evidence and owning the final decision.
The first job increasingly asks for evidence that used to appear later: independent judgment, AI-assisted delivery, communication and a portfolio that proves the work.
Most jobs do not require frontier-model research. They increasingly reward people who can frame a task, use AI deliberately, verify the result and explain the decision.
Find live jobs at Israeli tech companies without hiding overseas openings. Five complete first-party feeds show how to search by employer, skill and canonical vacancy—not by headquarters alone.
Five global ATS feeds from SolarEdge, Nova, Camtek, Innoviz and Arbe contained 252 concrete openings. Only 67 were core R&D; 185 were the work of industrializing, selling, supporting and operating physical products.