Articles

Long-form articles, published weekly, that go deep on one topic at a time: the job search, interviews, hiring and careers for senior engineering, data and product leaders.

October 30, 2026ArticlesSaurabh Chaudhary31 min read
The 10 Best Technology Careers for the Next Decade
The U.S. Bureau of Labor Statistics has published employment projections through 2035, and the numbers reveal some striking differences between technology occupations. Data science is expected to expand by roughly 35%.
October 23, 2026ArticlesSaurabh Chaudhary18 min read
PHP2Shell, eMudhra and Node2Shell: 3 security failures explained
Three major security stories broke this week, exposing weaknesses in some of the technologies that keep the modern internet running. The common thread was uncomfortable for technology leaders: some of the most serious security problems can exist several layers below the applications their teams actually build.
October 16, 2026ArticlesSaurabh Chaudhary19 min read
How to Secure AI Agents After the OpenAI Government Incidents
In September 2026, OpenAI disclosed a series of incidents involving AI agents that interacted improperly with the websites and systems of dozens of organizations, including the US Securities and Exchange Commission, the Census Bureau and the Department of Education.
October 9, 2026ArticlesSaurabh Chaudhary15 min read
Why your annual review can't prove your value to a new employer
Deloitte reports that only 2% of chief human resources officers believe their performance-management system works. What you will have is your experience, your evidence, and your ability to explain what changed because you were there.
October 2, 2026ArticlesSaurabh Chaudhary16 min read
The Most Expensive Promotion You Can Make
They had promoted an excellent individual contributor into a leadership job and, without really meaning to, turned the entire organization into their leadership training program.
September 21, 2026ArticlesSaurabh Chaudhary16 min read
The AI Leaders Who Will Win the Next Hiring Cycle
AI adoption is no longer as relevant as AI impact. Leaders who can answer 'What did our AI spend fetch us?' will win out the AI race.