Why AI Workflows Is the New Entry-Level Career Path

Business Operations is losing its luster as companies pivot toward a new, high-impact role: AI workflows specialist. Jiaona Zhang, chief product officer at Laurel, argues that graduates should move away from traditional support functions and instead focus on identifying and automating inefficiencies across their organizations using artificial intelligence.

The position centers on finding bottlenecks within a company and implementing AI-driven solutions to clear them. Rather than performing manual tasks, these employees act as internal architects who scale impact across entire departments. Zhang, who also teaches product management at Stanford, cites a recent hire at Laurel who designed an agent to act as a digital chief of staff for the sales team. That employee quickly became one of the most valued members of the staff, prompting the company to expand its dedicated AI Ops division.

This trend is gaining traction beyond tech startups. Cloud firm Box recently began recruiting for an AI business automation engineer role with a salary reaching $183,000. CEO Aaron Levie described the position as a forward-deployed engineer for internal operations, signaling a broader industry shift. For new graduates entering a job market where entry-level tasks are increasingly handled by software, the ability to demonstrate measurable time savings and leverage is becoming the primary currency for career advancement. Zhang suggests that even if a specific title does not yet exist at a company, ambitious employees should take the initiative to automate workflows themselves to prove their value.