Product Manager (Віg Dаtа & А2Р products)
The Product Manager for Big Data & AI is central to shaping Kyivstar's future offerings in the B2B market. You will be responsible for defining the vision, strategy, and roadmap for advanced data-driven products. Key responsibilities include deeply understanding client pain points within sectors like government and large enterprises, translating complex business needs into scalable technical solutions, and managing the entire product lifecycle from ideation to launch. Ideal candidates possess a strong blend of technical acumen (especially in Big Data technologies), deep market knowledge in B2B telecom/tech services, and proven leadership skills. You will collaborate cross-functionally with engineering, sales, and marketing teams to ensure our solutions deliver measurable business value, solidifying Kyivstar's position as a leading digital transformation partner.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1500
Question set
150
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Product Manager (Віg Dаtа & А2Р products)?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Product Manager (Віg Dаtа & А2Р products)?
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 kyivstar 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 (Віg Dаtа & А2Р products) 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, Big Data, AI Solutions, B2B Strategy.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.