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Starbucks Is Cutting Dozens of Tech Jobs in Seattle While Betting Big on AI
The coffee giant is reshaping its technology team under a new CTO, laying off cybersecurity and engineering staff while simultaneously building AI tools it says will define its future.
This article was produced by the AETW editorial team.
Starbucks has filed notice with Washington state to lay off 61 tech employees at its Seattle headquarters between June and August 2026, cutting cybersecurity, engineering, and product management roles as new CTO Anand Varadarajan reshapes the department around AI priorities.
What the filing says
On May 7, 2026, Starbucks submitted a Worker Adjustment and Retraining Notification (WARN) to Washington's Employment Security Department, confirming layoffs of 61 employees at its Support Center on Utah Avenue South in Seattle. The cuts begin June 20 and run through August 28.
The affected roles are not baristas. They sit inside the company's technology department and include cybersecurity analysts, technical product managers, systems analysts, systems administrators, scrum masters, and architects. Starbucks EVP and Chief Partner Officer Sara Kelly noted the impacted employees have no union representation and no bumping rights, meaning they cannot displace less senior staff. The company has also said the reorganization is not tied to any offshoring or relocation of operations.
A new CTO, a new org
The layoffs follow the January 2026 arrival of Anand Varadarajan as chief technology officer. Varadarajan spent 19 years at Amazon, most recently leading tech and supply chain for its global grocery business. His hiring was framed internally as a signal that Starbucks was ready to move faster on technology.
An internal memo circulated before the formal WARN filing told employees the company was making structural changes to move faster, sharpen focus, and ensure it was set up to deliver on its most important priorities. That phrasing, while standard restructuring language, points to a deliberate reset of how the tech department is organized rather than a simple headcount reduction.
The AI layer underneath the cuts
The cuts land in the middle of what CEO Brian Niccol, who joined in 2024, has described as a technology-led turnaround. Starbucks has been developing two AI systems that sit at the center of that strategy.
The first is Green Dot Assist, an in-store AI assistant built on Microsoft Azure's OpenAI platform. Launched in pilot form at 35 US locations in June 2025 and now live in hundreds of North American stores, it runs on iPads and gives baristas real-time access to recipe cards, ingredient substitutions, food pairing suggestions, equipment troubleshooting, and shift coverage help. Early results put inventory tasks - previously taking around an hour - down to under 15 minutes with AI-assisted tracking. Full rollout to company-owned stores is targeted for late 2026.
The second is Smart Queue, an order-sequencing algorithm that manages the timing of drink preparation across four input modes: drive-thru, delivery, mobile order pickup, and counter. When Niccol arrived, the system was purely first-in-first-out, creating bottlenecks. Smart Queue reorders jobs based on channel and pick-up window.
Looking further ahead, Niccol has outlined a predictive ordering vision where the Starbucks app uses a customer's location, order history, and time of day to prepare a drink before the customer even opens the app. The concept he described: a customer says into their phone that they want their Starbucks order and will arrive in ten minutes, and it is ready when they walk in. Starbucks also launched a ChatGPT-powered discovery tool to help customers explore drinks.
Starbucks disclosed in a securities filing that it must keep improving its marketing, data analytics, and AI tools or risk losing consumer interest and market share. That is the backdrop against which a technology reorganization is happening - the company is not stepping back from AI investment, it is consolidating around it.
Part of a longer restructuring arc
These 61 jobs are not the first cuts. Over the past year, Starbucks has closed hundreds of underperforming stores in the US and Canada, including more than 30 in Washington state. It laid off roughly 1,100 corporate employees and cut close to 1,000 retail and non-retail workers in the Seattle and Kent areas. The company has also closed its Seattle Reserve Roastery locations in Capitol Hill and SODO as part of a broader brand refocus.
Running parallel to the Seattle cuts is a $100 million investment in a new Nashville, Tennessee corporate office that Starbucks says will eventually employ up to 2,000 people. The company has been clear that the Seattle layoffs are not connected to that expansion - the Nashville hub is a build-out, not a transfer. But the dual timeline of cutting in one city while hiring in another has drawn scrutiny. The Downtown Seattle Association called Starbucks an important employer with an indelible impact on the city's identity and noted that Seattle has shed thousands of jobs in recent years while other cities grow.
The tension the cuts expose
The roles being eliminated - cybersecurity, systems architecture, product management - are not marginal. They are infrastructure-level functions. Cutting them while simultaneously trying to deploy and scale AI systems is a real operational tension. If the Green Dot Assist rollout or the Smart Queue algorithm hits friction, the people who would have diagnosed those problems are partly gone.
Starbucks stock has climbed roughly 25% year-to-date heading into this announcement, trading near its 52-week high at a forward P/E above 52. The market has treated the Seattle cuts as a contained cost move. But the restructuring is not finished - more layoffs were expected in May - and the Nashville integration is a multi-year project carrying its own execution risk.
Niccol's thesis is that AI makes Starbucks leaner and better at the same time. The cuts are supposed to fund and focus that bet, not undercut it. Whether the company can trim its tech team and still ship the tools it says define its future is the question investors and the remaining Seattle staff are watching.
Sources
AI & Technology Researcher
Brian Weerasinhe is the founder and editor of AI Eating The World, where he covers artificial intelligence, tech companies, layoffs, startups, and the future of work. His reporting focuses on how AI is transforming businesses, products, and the global workforce. He writes about major developments across the AI industry, from enterprise adoption and funding trends to the real-world impact of automation and emerging technologies.


