---
title: "How Box Created 13 Brand-New Jobs Because of AI | Metaintro"
canonical: "https://www.metaintro.com/blog/how-box-created-13-brand-new-jobs-because-of-ai"
language: "en"
author: "drashtigarach"
published: "2026-06-02T15:25:57.000Z"
modified: "2026-10-02T19:32:57.696Z"
---

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# How Box Created 13 Brand-New Jobs Because of AI

Box added 13 new AI job types and is growing past 3,000 staff instead of cutting. See which roles are booming and how to position your own career now.

[![Drashti Garach](https://cdn.metaintro.com/rs:fill:40:40/q:72/plain/images/5719d740-e510-42bc-8017-e040d145f35f_1766029465094.png)Drashti Garach @DrashtiGarach](/blog/author/drashtigarach)

[June 2, 2026](/blog/archive/2026/06)11 min read

![How Box Created 13 Brand-New Jobs Because of AI](https://cdn.metaintro.com/rs:fill:1200:675/q:78/plain/images/kai.taRjNPfz.png)

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When most headlines warn that artificial intelligence is erasing jobs, the cloud software company [Box](https://www.box.com/) is telling a different story. As first reported by The New York Times and corroborated in [syndication](https://www.thesunbulletin.com/how-box-created-13-new-types-of-jobs-because-of-a-i/), Box has created 13 brand-new types of jobs because of AI, hiring people into roles that did not exist two years ago instead of trimming its workforce. CEO Aaron Levie began reshaping the company about four years ago as AI started changing how its products were built and sold. The result is a headcount that keeps climbing, with Box expecting to pass 3,000 employees by early 2027. At [Metaintro](https://www.metaintro.com), we track exactly these shifts so you can see where hiring is actually growing.

## What Are the 13 New Jobs Box Created?

Box has not turned AI into a reason to shrink. Instead, the company built new functions around it. Among the freshly created titles are a senior director of AI, data and integration, plus roles such as AI architect, AI solutions manager and AI platform leader. The company has also leaned into so-called forward deployed engineers, AI business automation engineers and AI model evaluators who test whether the systems behave as promised.

These are not cosmetic rebrands of old jobs. The senior director of AI, data and integration exists to wire together Box's internal systems and data so employees can actually use AI tools on real work. That is plumbing the company did not need before. Forward deployed engineers, by contrast, sit with customers who want AI but lack the in-house expertise to build it, while AI business automation engineers work inside the IT department to help colleagues remove drudgery from their own jobs. The pattern is consistent across the roster of 13, because each title sits at the point where AI capability has to be connected to a specific business outcome.

For workers, the takeaway is that AI is spawning job families, not just eliminating tasks. The fastest-moving employers are inventing categories faster than universities can name them, which is why a 23-year-old can land a role like model evaluator that did not appear on any course catalog a few years ago.

## Why Is Box Hiring Instead of Cutting?

The simple answer is that Box sells AI, so demand for its products is rising. Levie has framed the dynamic plainly, noting that the company is itself selling AI to its customers, which is causing it to need to hire more people. As enterprises rush to adopt AI agents, someone has to architect, deploy and maintain those systems, and that work lands on Box's payroll.

There is also an economics argument underneath the hiring. Levie has described how AI lowers the cost of ambitious projects that used to be unaffordable. In his telling, companies are now hiring one or two people to do the work of ten, because they can finally afford to take on that work at all. Rather than reducing total employment, cheaper execution unlocks projects that were previously off the table, which in turn creates demand for the people who can run them. As [Benzinga](https://www.benzinga.com/markets/tech/26/05/52893765/box-ceo-says-ai-efficiency-gains-are-fueling-hiring-and-business-growth-reinvesting-efficiency-savings-back) reported, Levie has described the strategy as reinvesting efficiency savings back into growth rather than pocketing them as headcount cuts. That choice is the fork many employers now face, because the same productivity gain can be banked as layoffs or plowed back into new products and the people who build them.

Box's Chief People Officer, Jessica Swank, has underscored the company's posture, saying Box has never done any kind of broad-scale layoffs and that this remains a huge commitment. That stance stands out at a moment when many technology firms have used AI as cover for reductions. Levie has been blunt about that broader trend, telling [Fortune](https://fortune.com/2026/05/29/box-ceo-aaron-levie-ai-psychosis-jobs-layoffs/) that sweeping Silicon Valley job cuts look less like sober strategy and more like a kind of AI psychosis among executives chasing a narrative.

## How Big Is Box's Workforce Now?

The numbers tell the story better than any slogan. Box employed roughly 2,900 people at the start of 2026 and expects to surpass 3,000 by early 2027. That is steady expansion in a sector where many peers have been flat or shrinking.

Crucially, the hiring is not limited to AI specialists. Box's pace of recruiting software engineers has not slowed even as AI has become better at writing code. The reason is that AI agents now let a single engineer manage a fleet of automated helpers, accomplishing what once required an entire team. Levie has captured the effect by arguing that each engineer is 2X or 5X more capable than before, a point amplified in coverage from [Yahoo Finance](https://finance.yahoo.com/sectors/technology/articles/box-ceo-aaron-levie-says-094506004.html), which raises the value of hiring engineers rather than reducing the need for them.

This is the counterintuitive part of the Box case. The same technology that lets the company do more with fewer people on any single task also expands how much work is worth doing, which keeps the overall headcount growing.

## What Does This Mean for Your Career?

If you are job hunting, the Box example points to a clear strategy. The roles that are multiplying are not pure AI research jobs and they are not the traditional roles being automated away. They live in the middle, where AI tools meet messy, real-world business processes. An AI solutions manager has to understand both the technology and the customer's workflow. A model evaluator needs domain knowledge to judge whether an output is actually correct.

That middle ground rewards people who can pair a functional skill, such as operations, marketing or finance, with fluency in how AI tools work. You do not need to become a machine learning researcher. You need to be the person who can take a powerful but raw AI capability and turn it into something a business can trust and use. According to research from [McKinsey](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work), generative AI is reshaping nearly every function rather than wiping out whole departments, which is exactly the augmentation pattern Box illustrates.

The market is already rewarding that skill mix. The [PwC 2025 Global AI Jobs Barometer](https://www.pwc.com/gx/en/services/ai/ai-jobs-barometer.html) found that jobs requiring AI skills grew 7.5% over the prior year even as total job postings fell 11.3%, and that those AI-skilled roles now command an average wage premium of 56% over similar roles without them, up from 25% a year earlier. PwC also found that the specific skills employers ask for are changing 66% faster in the occupations most exposed to AI, and that revenue per employee in the industries most exposed to AI has climbed about 27%, roughly three times the rate in less AI-ready sectors. In plain terms, the workers who learn to use these tools are getting hired faster and paid more, while the definition of their job keeps moving.

The scale of the broader reshuffle is large. The [World Economic Forum](https://www.weforum.org/publications/the-future-of-jobs-report-2025/digest/) projects 170 million new roles created and 92 million displaced by 2030, a net gain of 78 million jobs, with AI and big data ranked the fastest-growing skills and roles such as big data specialists, fintech engineers and AI specialists topping the growth list. AI and information processing technologies alone are expected to create about 11 million jobs while displacing roughly 9 million, a net positive that still demands serious reskilling. The same report estimates that 39% of workers' existing skill sets will be transformed or outdated between 2025 and 2030. The practical move is to look for postings that combine your existing expertise with AI deployment, integration or evaluation. Those titles barely existed two years ago, which means competition is still thin and employers are still defining what good looks like. On [Metaintro](https://www.metaintro.com), you can spot these emerging roles before they become crowded.

## Is AI Really Augmenting Workers or Replacing Them?

The honest answer is that it is doing both, and the balance depends on the job and the company. Box shows the augmentation side clearly, but the broader labor market is more mixed. Some employers are using automation to cut costs, especially in routine functions, even as others build new teams around AI.

Lacey Kaelani, CEO of [Metaintro](https://www.metaintro.com), told the [Food Institute](https://foodinstitute.com/focus/heineken-layoffs-part-of-broader-beverage-manufacturing-trend/) that "As businesses replace jobs in manufacturing, distribution and general office functions with automation, the job loss will continue as beverage manufacturers try to combat shrinking margins by investing heavily in new product segments such as non-alcoholic and wellness drinks – which require employees with completely different job skills." That observation captures the deeper shift. Automation does not simply subtract jobs. It rotates demand toward people with different skills, and the workers who adapt fastest tend to come out ahead.

The federal data backs up the nuance. The [U.S. Bureau of Labor Statistics](https://www.bls.gov/ooh/computer-and-information-technology/) projects that computer and information technology occupations will grow much faster than the average for all occupations from 2024 to 2034, with about 317,700 openings expected each year. [Software developers, quality assurance analysts and testers](https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm) are projected to grow 15% over that span, while [information security analysts](https://www.bls.gov/ooh/computer-and-information-technology/information-security-analysts.htm) are projected to grow 29%. The story is reallocation, not pure elimination.

## What Other Companies Are Following This Playbook?

Box is not alone in betting that AI expands the workforce in the right roles. Levie has predicted a consulting and professional services boom larger than the shift to cloud computing, arguing that AI agents rewire the business process itself rather than just changing how software is delivered. He has said the need and opportunity for professional services to deploy agents right now is massive, which implies a long runway of new implementation jobs across the economy.

That conviction shows up most clearly in one title. Levie and Google CEO Sundar Pichai have both flagged the forward deployed engineer as one of the most in-demand jobs in tech, a role [Fast Company](https://www.fastcompany.com/91541878/google-box-ceos-say-this-is-the-most-in-demand-job-in-tech) describes as the person who actually gets AI working inside a customer's business. Metaintro has tracked the same surge in our breakdown of [why forward deployed engineers are the hot tech job of 2026](https://www.metaintro.com/blog/forward-deployed-engineer-most-in-demand-tech-job-2026).

The view also aligns with how other large technology employers are talking. Reporting from outlets such as [Fortune](https://fortune.com/2026/02/13/tech-giant-ibm-tripling-gen-z-entry-level-hiring-according-to-chro-rewriting-jobs-ai-era/) and analysis from the [Brookings Institution](https://www.brookings.edu/articles/hybrid-jobs-how-ai-is-rewriting-work-in-finance/) has highlighted a growing class of hybrid roles that blend domain expertise with AI fluency. For job seekers, the signal is to follow the employers who are building rather than only cutting, because those are the places inventing the next generation of job titles, and getting in early can define a career.

## People Also Asked

### Q: How many new jobs did Box create because of AI?

A: According to The New York Times, Box created 13 entirely new types of jobs because of AI, including roles such as a senior director of AI, data and integration, AI architect, AI solutions manager, AI platform leader, forward deployed engineer and AI model evaluator. The company expects to grow past 3,000 employees by early 2027, up from about 2,900 at the start of 2026.

### Q: Is Box laying off workers because of AI?

A: No. Box has not conducted broad-scale layoffs, and its Chief People Officer Jessica Swank has called avoiding them a huge commitment. CEO Aaron Levie says selling AI to customers is driving the company to hire more people, not fewer, even as AI makes individual engineers far more productive.

### Q: What skills do the new AI jobs at Box require?

A: The fastest-growing roles sit between AI technology and real business processes. They reward people who pair a functional skill, such as operations or finance, with fluency in deploying, integrating or evaluating AI tools. You do not need to be a machine learning researcher to qualify for many of these emerging positions.

Future-proof your career with [Metaintro](https://www.metaintro.com), AI-powered tools that help you adapt and thrive. [Sign up](https://www.metaintro.com/signup) to stay ahead.

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