Sachet Ray

Q: What is Sachet Ray email address?

Email Sachet Ray at sachetray@gmail.com, sachet.ray@duke.edu and sachet.ray@databricks.com. This email is the most updated Sachet Ray's email found in 2026.

Q: How to contact Sachet Ray?

To contact Sachet Ray send an email to sachetray@gmail.com, sachet.ray@duke.edu or sachet.ray@databricks.com. (updated on January 12, 2025)

Principal Product Manager, ML & AI at Adobe | Sunnyvale, California, United States

About Sachet Ray

Sachet Ray is currently making significant strides as a Product Manager in Growth at Databricks, where he is dedicated to enhancing self-serve experiences for Data Science and Machine Learning users. His primary focus is on streamlining the creation of Language Models (LLMs), a critical area in the evolving landscape of artificial intelligence. By leveraging his extensive expertise in product strategy and data analysis, Sachet is not only improving user engagement but also driving product-led growth (PLG) initiatives that empower users to harness the full potential of Databricks' platform.

Before joining Databricks, Sachet honed his skills at industry giants like Meta and Adobe, where he led transformative PLG initiatives. His ability to blend a data-driven approach with strategic planning has been instrumental in launching successful products that resonate with users. At Meta, he implemented innovative strategies that significantly increased user adoption and retention, while at Adobe, he focused on enhancing the customer journey through intuitive product features and seamless integrations.

Sachet's proficiency in team management and business strategy complements his technical skills, which include a solid foundation in programming and web technologies like HTML5. This unique combination of skills allows him to bridge the gap between technical execution and strategic vision, ensuring that the products he manages not only meet market demands but also exceed user expectations. As he continues to push the boundaries of what's possible in the realm of self-serve data science tools, Sachet Ray remains a pivotal figure in shaping the future of machine learning experiences at Databricks.

Sachet Ray Work