Thomson Reuters career page highlights skills-first flexibility for AI era

What a future-ready flexible-hybrid pitch actually looks like

For monday.com engineers, product managers, and sales teams, the clearest benchmark is not a slogan about remote work. It is a career model that ties flexibility to skill growth, performance, and the ability to keep shipping through an AI transition. Thomson Reuters is a useful example because its careers page pairs a skills-first message with a flexible hybrid setup, including up to eight weeks a year working from anywhere.

That combination matters because it changes the conversation from where people sit to how they are expected to grow. A company can ask for high standards, especially in an AI-heavy environment, while still making room for deep work, family life, and geographic diversity. For workers comparing employers, the real question is whether flexibility is built into the operating model or just offered as a feel-good benefit.

Why that benchmark matters for monday.com

monday.com is already presenting a version of that model, but in a more structured hybrid form. Most teams spend three days a week together in the office, then work where they do their best work the rest of the time. That is not full remote, and it is not a return-to-office mandate either. It is a middle path that signals collaboration matters, but so does autonomy.

The hiring process reinforces that point. monday.com says candidates go through a CV review, a recruiter conversation, a short task or interview, and a meeting with future teammates. That sequence tells you a lot about how the company thinks about talent: skills matter, communication matters, and fit is measured through actual interaction rather than a generic screening script. For employees who already work there, it is a reminder that the company is trying to evaluate people as builders, not just résumé lines.

The AI shift is changing what flexibility has to support

monday.com is also clear that its product strategy is moving deeper into AI. The company says it is shifting from a platform that helps teams manage work to one that actually does the work, using monday agents and AI features such as monday magic, monday vibe, and monday sidekick. That is a meaningful shift for internal teams, because AI products do not just require more engineers. They require faster reskilling, tighter cross-functional coordination, and better feedback loops between product, design, data, and go-to-market teams.

That is why the scope of monday.com’s hiring matters as much as the hybrid model itself. Openings span R&D, partnerships, design, finance, customer success, customer tech and AI, legal, strategy and operations, information technology and data, security, payments, the CEO office, and services. In other words, the company is describing AI not as a niche technical initiative but as a companywide operating priority.

For people inside monday.com, that broad hiring footprint is a signal. The next stage of growth will not come from one team alone. It will come from how well the company connects product innovation with customer delivery, internal systems, and the people who keep all of it moving.

The business scale behind the talent strategy

The numbers help explain why this matters now. In fiscal 2025, monday.com reported revenue of $1.232 billion, up 27% year over year, and a 14% non-GAAP operating margin. It also said customers with more than $50,000 in annual recurring revenue represented 41% of total ARR at year-end 2025. That is what a maturing SaaS company looks like when enterprise adoption deepens and the customer mix gets more demanding.

At that scale, flexibility stops being a nice extra. It becomes a coordination tool. A company serving larger customers while pushing AI features into the core product needs people who can concentrate, collaborate quickly, and keep pace with changing expectations. The hybrid model is part of that system, not separate from it.

What the global footprint says about how monday.com works

monday.com also describes itself as a global team with employees in New York, Tel Aviv, London, Sydney, São Paulo, Tokyo, and more. Its SEC filing lists principal executive offices at 6 Yitzhak Sadeh Street in Tel Aviv, Israel. Together, those details show a company that is no longer operating like a local startup with one center of gravity.

That kind of footprint raises the bar for internal communication and trust. If teams are distributed across major business hubs, the company has to give people enough structure to stay aligned and enough flexibility to do meaningful work without friction. That is one reason the skills-first framing matters so much. It helps unify a global workforce around what people can do, not just where they happen to be based.

How to read the signal if you work there or want to

The clearest takeaway for monday.com workers is that a future-ready career pitch should answer a few basic questions.

• Is flexibility real, or is it just a perk with limited boundaries? monday.com’s three-day office model and Thomson Reuters’ up to eight weeks working from anywhere show two different answers, both tied to business needs.

• Does the company invest in growth, or only in output? Thomson Reuters says it wants people to have the tools and knowledge to grow, lead, and thrive in an AI-enabled future, which is the kind of language that suggests development is part of the job.

• Are skills evaluated through actual conversation and work, not just credentials? monday.com’s CV, recruiter chat, task or interview, and future-teammate meetings are a concrete sign that the company wants to see how people think and collaborate.

• Is AI changing the work itself? monday.com’s move from managing work to doing the work, with monday agents and products like monday magic, monday vibe, and monday sidekick, shows that the answer is yes.

For a company like monday.com, the strongest talent brand is not a promise of limitless flexibility. It is a system that connects hybrid work, skills growth, AI product development, and global scale into one coherent operating model. That is what AI-era workers are increasingly looking for, and it is the standard large enterprises now have to meet if they want to keep the best people moving with them.