Product Manager, AI Growth
Figma is at the forefront of creative tooling, and we need a visionary Product Manager to spearhead our integration of Artificial Intelligence. This role is pivotal in defining how generative capabilities—such as AI-assisted design suggestions, content generation, or workflow automation—will revolutionize the user experience. You will bridge the gap between advanced ML research and practical product features, ensuring that our AI tools are not just novel, but genuinely valuable and intuitive for professional designers. Responsibilities include crafting PRDs for complex AI pipelines, working with Data Science teams, prioritizing ethical implementation guidelines, and validating business impact through rigorous experimentation. If you are passionate about the intersection of creativity, technology, and massive scale, this is your opportunity.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1800
Question set
220
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Product Manager, AI Growth?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Product Manager, AI Growth?
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 figma 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 Product Manager, AI Growth 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, Generative AI, Growth Product, Machine Learning.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.