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Tech News
OpenAI now lists 27 open robotics positions on its careers page, more than double the 11 postings seen in May, spanning hardware, software, data and prototyping work. Base salaries range from $177,000 to $500,000 before equity and bonuses, with the top-paying role focused on building infrastructure to process robotics training data at scale.
Career experts say many job applicants are experiencing silence from employers after interviews or applications, leaving candidates uncertain about their standing in a competitive job market. They point to overwhelmed hiring teams, high application volumes, and shifting recruitment practices as contributing factors.
QuestDB, the open-source time-series database company, posted a job listing for a Pre-Sales Engineer based in North America. The role covers technical validation throughout the sales cycle for its Enterprise product. QuestDB says its open-source repository has passed 17,000 GitHub stars and it recently won Best Trading Analytics Platform at the TradingTech Summit Europe.
London ad agency Catalyst says AI now performs research, drafting and data-gathering that junior staff once did, allowing a single entry-level employee to manage five client accounts instead of several. Founder Tobias Green likened the setup to a 'reverse Mechanical Turk,' with AI working behind the scenes while a human presents to clients. A separate Open University survey of 1,500 UK business leaders found 51% say AI is changing their hiring, and 19% have cut entry-level recruitment, with 42% of those citing AI as a reason.
A blog post reflects on a 2014 hiring effort to find QA staff in Pune, India willing to learn Clojure to test a large SaaS backend, describing it as an example of avoiding the classic 'Secretary Problem' from Optimal Stopping Theory by not permanently rejecting candidates once passed over. The author, writing with colleague Mayank's case as the anecdote, contrasts this non-zero-sum hiring approach with what they describe as a currently brutal, post-ZIRP software hiring market in 2026.
Small companies are increasingly using AI tools to handle tasks once requiring new hires, allowing founders to expand their products while keeping payrolls flat or shrinking them. Some entrepreneurs are deliberately delaying hiring plans or cutting existing roles as AI systems take on more operational and technical work.
Dartmouth College is developing its own AI-based systems, modeled partly on approaches used by companies like Google, to help students and alumni navigate career decisions as artificial intelligence reshapes hiring. The tools are meant to help people identify suitable career paths and job opportunities amid growing uncertainty in the entry-level labor market caused by automation and AI-driven recruiting.
An engineering leader argues that as companies route entry-level coding tasks to AI agents, fewer juniors get the hands-on experience needed to become senior engineers. He compares the looming shortage of experienced engineers to the recent DRAM chip shortage, where demand outpaced supply that couldn't be scaled quickly. He says senior engineers themselves now bear responsibility for deliberately training replacements rather than letting AI erase the bottom of the career ladder.
A leadership commentary argues that many organizations' hiring struggles stem not from a shortage of qualified candidates but from internal systems designed to filter people out rather than develop them. The piece draws on executive-coaching insight that current hiring outcomes are simply the predictable result of how the system was built.
While many tech firms cite AI code-generation as reason to cut entry-level hiring, one company says it is increasing its junior engineer headcount instead. The company argues that AI tools handle routine coding tasks but cannot substitute for the on-the-job learning that turns junior developers into engineers with real judgment and intuition.
A new CNBC report finds AI has become deeply embedded in hiring, screening resumes and now conducting first-round interviews. A Greenhouse survey of nearly 3,000 job-seekers across five countries found 63% had gone through an AI-led interview, up 13% from six months prior. These interviews range from voice and text chatbots to digital avatars that mimic human facial expressions.
An Entrepreneur contributor argues that AI won't eliminate startup teams but will change who gets hired, favoring employees who can judge problems, execute independently and adapt across roles. The piece cites data showing 80% of CEOs plan to rebuild workflows, a projected 70% shift in job skills by 2030, a 73.4% drop in junior tech hiring in Europe, and a rise in single-founder U.S. startups from 23.7% to 36.3% since 2019.