Mark Feffer is a Reporter and Writer at Tramp Steamer Media. He specializes in HR and workforce topics, including HR technology, careers and employment, as well as artificial intelligence and machine learning. Mark's insights and articles have been featured in notable publications such as Dice, Manistee News, HCM Technology Report, and HR.com.
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Mark Feffer's coverage predominantly focuses on human resources and employment, with a significant portion dedicated to software and SaaS. His articles frequently include expert commentary and private sector announcements.
To effectively reach out to Mark, consider providing insights or analysis related to talent strategy, job losses, remote work, HR technology, or the integration of AI in HR. As he covers themes like employee satisfaction and employer branding as well, offering unique perspectives on these topics may also capture his interest.
It is important to note that Mark does not specify a geographic focus but rather concentrates on industry-specific developments without geographical limitations.
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By: Mark Feffer
by | Mar 26, 2026 | RecTech / Recruitment Marketing HRTech Recruitment
By: Mark Feffer
Seattle-based Aetheon, a startup developing tools to identify and validate skills and convert them to real jobs, has raised $1.24 million in a seed round.
Talent vendors are bundling sourcing, screening and AI interviews into a single workflow — and "hire-ready candidates" is their biggest selling point.
Vensure Employer Solutions received $450 million in support for its expansion strategy through a package from Stone Point Capital Markets.
By: Mark Feffer
by | Apr 3, 2026 | Recruitment Indeed’s aggregation and global reach makes it market leader Nationalization policies, expatriate labor create unique conditions
AI is changing how work feels before it changes what work produces. That gap is where most companies get lost.
AI interview agents are reshaping hiring from top to bottom — faster decisions, less bias, but serious legal risks. Is your TA team ready?
AI scores, behavioral signals and verification tools give employers unprecedented insight into candidates. The challenge is using that data responsibly.
AI promised faster hiring. Now companies have to prove it's fair, legal and explainable.
When every employer uses the same hiring algorithm, one flaw scales to millions of rejections. Here's what the data shows and why the EEOC is watching.
