Hey there,
Something shifted this week, and it has nothing to do with a recession. The companies announcing layoffs aren’t hurting — they’re profitable, growing, and restructuring anyway.
Monday.com cut 20% of its workforce while raising its margin outlook. Intel’s data center division grew 22% in Q1 and still shed jobs this week. Amazon is pouring $200 billion into AI infrastructure while eliminating roles inside the very team that built its AI models. This isn’t a recession playbook. It’s organizational transformation — and the companies doing it most aggressively are the ones performing best.
That’s the job market signal of 2026. If you understand it, you can navigate it.
Today: Why profitable companies are restructuring headcount, plus five remote-first employers actively hiring this week.
In This Issue:
- 🔥 The Big Story: Why Monday.com cut 620 people and raised its profit outlook at the same time
- ⚡ Quick Hits: 4 major workforce moves across tech, ride-share, hardware, and AI infrastructure
- 🏢 Companies Hiring: 5 remote-first companies actively building teams
- 🎯 Career Signal: AI skills demand just hit accounting, banking, and staffing — not just tech
- ✅ Quick Win: Industry-specific AI tools that beat generic “AI proficient” every time
🔥 The Big Story: Monday.com Didn’t Cut 620 Jobs to Save Money
The announcement that rewrites the org chart. On July 22, 2026, monday.com — the work management and project platform — announced it was eliminating approximately 620 positions, roughly 20% of its global workforce. The company is simultaneously restructuring its entire product strategy around AI agents. Leadership is explicit: they expect $45–$55 million in restructuring charges, and virtually all savings will be reinvested into product development and internal AI. They raised their full-year non-GAAP operating margin outlook from 13% to 15%, while maintaining 19–20% revenue growth targets.
The bigger picture. The company’s founders put it plainly in their employee announcement: “It became clear that changing our strategy and product is not enough. The organization we built for our previous chapter is not the organization that fits the new AI era.” That sentence is worth sitting with. monday.com isn’t cutting because business is bad — it’s cutting because the structure of the business no longer fits where it’s going. The roles being eliminated were designed for a product built before AI agents existed. The roles being added are designed to build and ship an AI-native platform. They’re not laying off to shrink. They’re laying off to rebuild. The practical result for workers is the same — termination — but the mechanism is completely different from what most layoff coverage implies.
Why this matters: The monday.com restructuring is a preview of what’s coming across the SaaS industry in 2026 and 2027. If you’re in a role that primarily exists to manage, coordinate, or support workflows that AI agents can now handle, your position is increasingly at risk — even at a growing company. The response isn’t panic; it’s identifying which parts of your role AI genuinely cannot replace and making those capabilities impossible to miss. The candidates surviving this wave are the ones who’ve made their judgment, creativity, and cross-functional impact visible before the restructuring announcement, not after.
View monday.com’s official 6-K filing →
Stat of the Week
121,092 → job postings requiring AI skills at U.S. employment placement agencies in the past year — up 69% year over year, the fastest-growing AI skill sector in the economy. 61% of staffing firms now use AI for candidate screening, sourcing, and matching — up from 48% in 2024. The firms screening your resume are now the most aggressive adopters of the AI tools reshaping your career. (Bipartisan Policy Center Skills Data Dashboard, July 2026)
See the BPC AI Skills Dashboard →
⚡ Quick Hits
Intel Cuts Jobs in Its Data Center Division — The Same Unit That Grew 22% in Q1
Intel’s Data Center and AI Group posted $5.1 billion in Q1 2026 revenue — up 22% year over year, with 30.5% operating margins and $1.5 billion in operating income. The company still announced layoffs in that division this week, with CEO Lip-Bu Tan pushing a workforce transformation targeting efficiency and organizational focus. Intel confirmed the cuts in statements to multiple outlets, describing the move as an effort to become “a more focused and efficient organization.” Intel’s Q2 2026 earnings, released July 23, confirm the company continues to restructure even as performance in key divisions improves. The takeaway: revenue growth no longer guarantees headcount stability. Profitable divisions are being optimized, not protected.
Read Intel’s Q2 2026 earnings →
Uber Cuts 10% of Its Customer Service Team — and Orders Remote Workers Back to Offices
On July 22, Uber eliminated approximately 10% of its Community Operations division — the global customer support network spanning its ride, delivery, and freight businesses. VP Megha Yethadka told staff the organization had “become too complex and siloed,” citing a need to “simplify operations, strengthen in-person collaboration, and continue to embrace AI.” Beyond the cuts, Uber simultaneously required employees who had been working remotely to relocate to a hub office location and work on-site at least three days a week. This is Uber’s second significant workforce reduction in two months; in June, the company eliminated 23% of its internal HR division. The signal: AI is taking the jobs, and the office is reclaiming the geography.
Samsung Moves U.S. Headquarters from New Jersey to Texas, Affecting 739 Jobs
Samsung Electronics America filed WARN notices covering 739 positions in Englewood Cliffs, New Jersey as part of a headquarters relocation to its existing campus in Plano, Texas. The company offered relocation packages to many affected employees, with separations effective September 30 for those not making the move. Samsung’s stated rationale: to improve coordination by concentrating U.S. consumer electronics operations in a single hub within Texas’s “growing technology and AI ecosystem.” A separate 100 positions were also affected at the Texas campus. For job seekers in consumer electronics, marketing, and corporate operations, Samsung’s move is another signal of the Dallas-Fort Worth corridor’s rapid emergence as a major tech hub outside the coasts.
Amazon Cuts Roles Inside Its AGI Organization to “Sharpen Focus” on Customer-Facing AI
On July 22, Amazon confirmed it is eliminating roles within its Artificial General Intelligence organization — the division building the company’s most advanced AI models. The company did not disclose how many positions were affected, but stated: “We’ve been building large AI models for several years, and it remains one of the most important things we’re working on. This is a fast-moving space, and we’re sharpening our focus on the initiatives that matter most for customers.” The cuts reportedly hit model customization and post-training roles as Amazon pivots from frontier AI research toward deploying AI for enterprise customers. This is especially notable because Amazon has simultaneously committed $200 billion in AI infrastructure investment and is embedding AWS engineers directly with enterprise clients building agentic AI systems. The signal: the companies building AI are restructuring the teams that built it — shifting from research to deployment.
See Amazon’s official newsroom →
🏢 Companies Hiring Remote-First Roles Right Now
The restructuring story dominates headlines. The hiring story is real too. Five remote-first employers actively building teams this week:
Zapier — Remote since 2011, now the most connected AI orchestration platform on the market, hiring across engineering, marketing, operations, and customer success
Zapier connects 7,000+ apps and has been fully distributed since 2011. With 800+ employees across 40+ countries and no corporate offices, Zapier’s remote-first model is structural, not aspirational. The company is actively hiring across campaign marketing, applied AI engineering, finance, sales assist, IT systems, and senior engineering leadership, among others. Working at Zapier means working at the exact intersection of AI and workflow automation that every company is racing to figure out — and doing it with a team that’s been executing at that intersection for over a decade.
Atlassian — Team Anywhere policy, hiring across engineering, AI and ML, and a growing sales and success team
Atlassian’s Team Anywhere policy gives employees the choice to work from an office, at home, or in any combination — and the company says it’s committed to that approach “for the next 100 years.” With products including Jira, Confluence, and Loom serving millions of teams globally, Atlassian is actively hiring in engineering (including AI and machine learning), product design, and a sales and success team focused on bringing AI-powered solutions to enterprise customers. Team Anywhere is built on openness and trust — Atlassian’s words, backed by five years of distributed-first execution.
👉 View open roles at Atlassian
Databricks — 670+ open roles, data and AI infrastructure leader, many U.S.-remote eligible positions across engineering, sales, and customer success
Databricks builds the data and AI infrastructure powering some of the world’s largest enterprises. With 670+ open positions globally — including U.S.-wide roles in customer success, engineering, product, and enterprise sales — the company is in an aggressive scaling phase driven by the enterprise AI boom. Roles span from senior solutions engineering to AI adoption management, with genuine remote eligibility across the U.S. for many positions. If you’re looking to work at the infrastructure layer of the AI economy — not on the products but on the platform everything runs on — Databricks is one of the few companies simultaneously hiring at scale and growing profitably.
👉 View open roles at Databricks
Automattic — 1,442 team members across 82 countries, all remote, hiring across engineering, marketing, and support
Automattic — the company behind WordPress.com, WooCommerce, Tumblr, and Jetpack — has 1,442 employees in 82 countries speaking 108 languages, all working remotely. Every single one. The company’s hiring process includes a paid trial — a short, real-work project — before extending an offer, which means the candidates who make it through have already demonstrated their skills in practice. Remote isn’t a perk at Automattic; it’s the only operating model they’ve ever had. Open roles span engineering, marketing operations, and customer support, with a structured process that is itself a signal of how a mature, distributed company runs.
👉 View open roles at Automattic
GitLab — All-remote from day one, 2,500+ team members in 60+ countries, 80+ open positions spanning engineering, product, sales, and customer success
GitLab is the AI-powered DevSecOps platform used by more than 100,000 organizations globally. Every role at GitLab is remote — the company has no corporate headquarters in the traditional sense. With 80+ open positions and a culture built around asynchronous communication, documented processes, and radical transparency, GitLab is the canonical model for what a mature, remote-first company looks like at scale. If working entirely asynchronously with a globally distributed team on developer tooling and AI-powered security is your thing, GitLab is worth a hard look.
Know someone between jobs? Forward this section — it might be exactly what they need.
🎯 Career Signal: AI Skills Demand Is Now Hitting Accounting, Banking, and Staffing — Not Just Tech
New data from the Bipartisan Policy Center’s analysis of U.S. job postings should change how you think about AI skills: the fastest-growing demand for AI literacy isn’t in software engineering — it’s in employment placement agencies (+69% year over year), accountancy offices (+55%), and commercial banking (+51%). Accountants are now expected to know Microsoft Copilot and prompt engineering. Commercial bankers are expected to know Hugging Face and LLM fine-tuning. Staffing firms are embedding AI into candidate screening, sourcing, and matching at scale — 61% of them now use AI in those core processes, up from 48% in 2024. If you’re in professional services and haven’t added specific AI tools to your resume, you’re already behind the posted job requirements. The data finding that matters most: 75% of all AI skill demand is concentrated in just three occupational groups — computing and mathematics, business and finance, and management. The AI skills gap is widest exactly where the most workers are.
🧠 Skill-Building Reads This Week
The week’s data points in one direction: knowing which AI skills your specific industry demands is now a career strategy, not just a curiosity. Three free, authoritative resources to get ahead of it.
BPC’s AI and Workforce Navigator — Skills Data Dashboard
The Bipartisan Policy Center’s interactive tool — powered by Lightcast data from millions of U.S. job postings — shows exactly which industries are seeing the fastest AI skills growth, which specific AI skills are surging, and how demand varies by state and metro area. If you want to know what employers in your specific industry and region are actually posting for right now, this is the most granular, policy-grade, commercially disinterested source available. Free, no registration, updated daily.
BLS Occupational Outlook Handbook
Before you commit to a career pivot or a certification, check the Bureau of Labor Statistics’ OOH for the role you’re targeting. It gives you 10-year employment projections, median wage, typical entry requirements, and what the day-to-day work actually looks like — without the spin of an industry association or a coding bootcamp. If you’re evaluating a career transition in the current restructuring environment, this is the single most reliable first stop. Free, government-verified, no paywall.
MIT OpenCourseWare — Artificial Intelligence and Machine Learning
MIT OpenCourseWare gives you free access to the actual course materials from MIT’s AI and machine learning curriculum — lecture notes, problem sets, reading lists, and full course syllabi. No registration, no paywall. The courses range from introductory AI fundamentals to graduate-level deep learning. If you’re trying to build legitimate AI comprehension — not just familiarity — this is the highest-signal free resource available, and you can go as deep as your role demands.
✅ Quick Win This Week
List the AI tools your target industry actually demands — not just the ones you happen to know.
After this week’s BPC data: accountants who list Microsoft Copilot and prompt engineering will stand out. Bankers who list Hugging Face or LLM familiarity will stand out. Marketers who list generative AI and workflow tools will stand out. Project managers who list AI agent orchestration or AI-powered planning experience will stand out. “Familiar with AI tools” gets filtered by the AI screener before a human ever reads it. “Uses Claude for contract analysis, Copilot for financial model commentary, and Perplexity for research synthesis” gets flagged for review. The 15 minutes to update this section is the most asymmetric-ROI task in your job search right now.
What We’re Watching
What we’re watching: Whether Monday.com’s “build for AI agents” restructuring model spreads to other SaaS platforms in Q3; whether Amazon’s AGI pivot from research to deployment signals a broader shift in how AI companies structure their engineering orgs; and whether the August BLS jobs report confirms or reverses the slowdown in labor force participation from June.
🎯 Bottom Line
The 2026 labor market is sending one consistent signal: companies don’t have to be struggling to restructure. The threshold for “this org doesn’t fit our strategy” just got a lot lower, and profitable growth is no longer the protection it used to be. Monday.com raised its margin outlook and cut 620 people. Amazon is spending $200 billion on AI while cutting the team that built it. Intel’s data center unit grew 22% and still trimmed roles. This is unsettling. It’s also clarifying.
If stability isn’t guaranteed by your company’s health, the most durable career asset is the one that moves with you: specific, demonstrable, in-demand skills — especially the AI tools your particular industry is now explicitly requiring. The candidates who are landing right now aren’t the ones with the most experience. They’re the ones who’ve made their specific value clear, in language that matches what the industry is actually posting for.
RemoteHunter.com has verified remote jobs and AI-powered tools for resumes and cover letters — built for the job market as it actually operates in 2026, not three years ago.
Until next week — keep building.
— The RH Team 🤙
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