
Ipswitch has appointed Steven Rotman as Chief People Officer.
Rotman will advise, coach and guide the global organization regarding culture and talent in order to continue to cultivate a high performing and highly engaged team. As Ipswitch remains on its rapid growth path, Rotman will integrate business and HR strategies to support the expanding global organization.
Rotman, an influential and performance-focused human resources leader, is an expert in building cultures of engagement, agility and productivity to enable corporate-wide success. Prior to joining Ipswitch, Rotman served as VP of Human Resources at NaviNet, focusing on culture building, people enablement and change management. Rotman is both a strategist and implementer, prepared to develop and drive progressive and scalable programs and practices globally.
“Ipswitch is growing globally at a fast pace– powering more than 150,000 IT networks spanning 168 countries,” says Joe Krivickas, CEO of Ipswitch. “With our global growth, we welcome Steven’s extensive background in spearheading people enablement programs. We’re thrilled to have him lead our human resources function to further drive our global business, growth and success.”
“I was instantly drawn to Ipswitch – it has the resources of a global company with the soul of a nimble startup,” said Rotman. “Ipswitch is on a powerful growth trajectory with a need to hire and retain top talent worldwide. I look forward to contributing to its next stage of growth.
The Latest
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...
A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...