Inside The New York Times' Platform Transformation: A Conversation with Sneha Rao

Sneha Rao, VP of Product for Platform at The New York Times, discusses the digital transformation of the 175-year-old institution in a Product School Podcast episode. The conversation explores platform innovation, product strategy, and scaling reader experiences, offering valuable insights for product leaders managing organizational change.

[Above] Journalism 02 by Odd Bleat

The Legacy and the Transformation

Founded in 1851, The New York Times (NYT) has undergone a monumental shift, transitioning from a print-first media company to a data-driven, digital lifestyle and news platform. This evolution is no small feat; for Sneha Rao, the honor lies in orchestrating this transformation while respecting the institution’s legacy.

“It’s 175 years old. How often does that happen? Digital transformation at this magnitude, with this history and this legacy is really an honor to be associated with it. The digital transformation happened in the last 10 years. This is pretty short in comparison to the longevity of this business.”
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The Plague Year Cover Illustration by Ana Miminoshvili

The journey over the past decade has seen NYT embrace technology to expand its offerings. From print newspapers to viral games, cooking platforms, and subscription-driven revenue models, Rao describes NYT’s ability to blend tradition with innovation.

Navigating the Technical Product World

Rao’s journey to NYT is just as inspiring. Previously at Spotify during its IPO preparation, she navigated critical challenges like GDPR compliance:

“I cannot tell you how strange a dynamic that was to walk in a room and say, I love what you do, but now I’m going to help you do it with audit trails and restrictions of who can access information and query data. I was blocking a lot of freestyling.”
IT Audit by Berin Holy

This experience taught her the delicate art of enabling innovation without compromising infrastructure, a philosophy she now applies at NYT:

  • Organizational Design: Rao leads a streamlined team of product leaders and evangelists across core platform components like compute, storage, and developer experiences.
  • Efficiency: A key takeaway? Bigger isn’t always better. At Spotify, platform teams grew to 2,000 people in a 10,000-person company. Rao now challenges scale, ensuring platform investment is proportionate and value-driven.
“But when you look at the last couple of years and the impact it’s had on the work force. Hindsight 2020, maybe we shouldn’t have grown that big. That’s what I’m bringing to the Times.”

From Idea to Execution: Delivery Engineering at Scale

How does NYT bring new ideas to life? Rao explains the role of the Delivery Engineering Team, which accelerates experimentation across formats—static pages, video, dynamic content, and podcasts.

“How quickly can product and engineering teams across The Times have an idea, deploy it, test it, and learn from it? The quicker that happens, the quicker we grow. We’re trying to take that down to hours.”
Experiment by Timo Kuilder

Every experiment is backed by A/B testing at a scale only NYT can leverage. The platform enables rapid iteration, reducing ideation-to-validation timelines to mere hours.

“It’s plug and play now - There’s a lot of platforms we can buy off the shelf that can do that for us.”

Metrics that Matter: Resiliency, Detection, and Costs

Rao emphasizes the importance of clear success metrics for platform decisions:

  1. Median Time to Detect: How quickly does telemetry alert teams to issues? “When something breaks, how quickly can your telemetry, your signal prompt you and alert you something broke?"
  2. Cost to Serve: Every product idea carries a cost. Rao challenges teams to weigh ROI projections before experimentation. “Yes and that will cost $1M—are you sure you want to experiment on it?”

“Really asking those hard questions before you go on this journey, and you build the thing, only to realize it was a bad idea, and then you let go of thousands of good people. I just think there has to be a better way.”

Betting on News and Innovation

While Rao’s platform team drives innovation, the mission remains grounded in journalism:

“Our long term view is the same view the historical company was built on, which is a credibility of what it takes to stand independently at a time that the news can be polarizing and sides need to be taken that the news served by NYT pierces through and really goes where the truth is.”

Games like Wordle and cooking platforms may seem unrelated to investigative reporting, but Rao sees them as extensions of NYT’s mission to engage inquisitive, curious readers.

“Our readers are inquisitive and they’re curious. They have vocabulary that they’re always building and growing on.”

Looking to the Future

As Rao and her team continue to experiment with content formats, the focus remains on relevance, engagement, and accessibility:

“There’s a lot of dynamic rendering of content that’s happening on traditional news.”
  • What will resonate with the next generation? NYT aims to inspire teenagers by helping them connect the dots between history and their lives.
  • How do you ensure consistency and loyalty? By delivering credible, evergreen journalism while building adjacent products that extend reader journeys.
“It’s important to share the art and craft and the love and the passion of what you’re doing and why you’re doing it. Because essentially, what is a product manager’s job if it’s not to inspire goodwill and good empathy towards real world problems?”
Journalism by Zlata TopChyi

Key Takeaways that Actually Matter

What stands out from Rao's leadership at The New York Times isn't just buzzwords - it's practical wisdom. She's tackled real challenges head-on: trimming platform teams to optimal size, making smart build-vs-buy decisions, and ensuring every experiment has clear ROI. Her approach shows that sometimes the best innovation isn't about building more, but building smarter.

Most importantly, she demonstrates that successful digital transformation isn't about following a template - it's about asking tough questions, making data-driven decisions, and having the courage to course-correct when needed.

Dive into the full discussion here for more insights on building platforms that scale without breaking the bank.