CIO
DECEMBER 22, 2023
Skills: Relevant skills for a cloud systems engineer include networking, automation and scripting, Python, PowerShell, automation, security and compliance, containerization, database management, disaster recovery, and performance optimization.
CIO
JUNE 22, 2023
While Silicon Valley still pays top dollar for IT pros, the war for talent has moved beyond the technology industry, with other verticals vying for talented IT workers who have the skills to enable digital transformation, process improvement, change management, and the development of apps and services.
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TechCrunch
AUGUST 25, 2022
Product-led growth (PLG) is more about the company’s mindset than it is about the product. There is a lot a company needs to do to succeed with a PLG strategy, and hiring product managers is not enough — neither can it be the first step. However, having the ability to attract the right talent is critical.
CIO
AUGUST 9, 2023
Software engineers, cloud computing specialists, and digital product managers remain key roles for companies seeking to roll out new products and services. DevOps leaders galvanize software development by merging development with operations, enabling companies to continuously iterate software to speed delivery.
Luis Goncalves
AUGUST 21, 2019
Product Management and Software Development: The Big Clash. While product management and software development should go hand in hand, often, they end up on a clash. Product managers and software developers, while working on the same product, have different goals and processes.
The Agile Manager
JUNE 30, 2021
A simple search for “product manager” positions in Chicago yields over 6,300 openings; in New York over 6,800 openings; and in Dallas over 5,800 openings. Imagine a company with, say, 100 experienced software engineers, project managers, QA engineers and the like that expects to add a dozen more people to the team in the next year.
CIO
DECEMBER 22, 2022
It seeks to improve the way data are managed and products are created, and to coordinate these improvements with the goals of the business. According to Gartner, DataOps also aims “to deliver value faster by creating predictable delivery and change management of data, data models, and related artifacts.”
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