Sr. Product Manager, Databricks AI
As the Sr. Product Manager for Databricks AI, you will be central to defining the future direction and feature set of our core artificial intelligence product suite. This high-impact role demands a profound understanding of Large Language Models (LLMs), Generative AI workflows, and the modern data stack landscape. You will own requirements gathering from technical leaders, establish product priorities across complex backlogs, and expertly translate bleeding-edge research into robust, scalable product features for global enterprise adoption. Collaboration with engineering and data science teams is key to delivering a seamless developer experience. We seek candidates with demonstrable PM success in sophisticated B2B infrastructure or cutting-edge AI domains, coupled with exceptional cross-functional communication skills.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
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2300
Fragensatz
175
Dauer
Permanent
Schwerpunkte
People Also Ask (FAQs)
What is the last date to apply for Sr. Product Manager, Databricks AI?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Sr. Product Manager, Databricks AI?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the Databricks test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Sr. Product Manager, Databricks AI test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Product Management, Artificial Intelligence, Machine Learning, Data Strategy.
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