Netflix Product Division Undergoes Layoffs

Netflix Product Division Undergoes Layoffs


EXCLUSIVE: Netflix‘s product division has pinkslipped workers across middle management and admin divisions, Deadline has learned.

Sources familiar with the layoffs note they amount to several dozen, or less than 1% of the 6,000-employee division. The cuts are part of a reorganization, and no senior executives in the product division were let go.

The news comes in the wake of Netflix promoting their CTO, Elizabeth Stone, to Chief Product and Technology Officer on February 2. Stone’s purview now extends to the company’s product, engineering and data groups.

Netflix’s previous chief product officer, Eunice Kim, exited last September after a four-year run. Kim left after launching the first update of the Netflix user interface in more than a decade, an initiative cited by management as a key driver of recent subscriber growth.

Netflix didn’t have any comment on the cutbacks when contacted by Deadline.

While the streaming giant has stopped reporting subscriber numbers each quarter, in releasing fourth-quarter earnings last month it said it ended 2025 with more than 325 million subscribers.

Last December, the company stunned the industry and Wall Street by announcing an $82.7 billion deal to acquire Warner Bros. Discovery’s studios-and-streaming division. The proposed megadeal will take at least another year to get approved. Paramount Skydance has presented shareholders with a hostile, rival bid and has revised the offer multiple times.

Workforce reductions have become common across the once-invulnerable tech sector. Amazon recently announced its second wave of corporate layoffs, bringing its total to 30,000 reductions in the past four months. Elon Musk’s xAI, which is merging with SpaceX, has also trimmed its ranks.

The rise of AI has been widely cited as the rationale for the cuts. A number of job functions in tech and beyond have been reshaped by computer-generated models, with engineering and coding roles evolving into more “meta” positions focused on refining the work of AI.



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