Sr Product Manager - LTV and Retention
We are hiring a data-driven Sr Product Manager to focus intensely on improving user retention and maximizing Customer Lifetime Value (LTV) across our US product suite. You will analyze complex usage patterns, churn triggers, and key funnel drop-offs to build measurable solutions. This role requires deep proficiency in quantitative analysis—turning raw data into actionable hypotheses—and prioritizing feature development that enhances long-term engagement rather than just initial acquisition. Key responsibilities include A/B testing design and execution, defining success metrics for retention campaigns (e.g., daily active users, repeat transactions), and developing product experiences that solve genuine user pain points in the crypto space. If you are a product enthusiast who views metrics as your primary compass, this role is built for you.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2100
Question set
290
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Sr Product Manager - LTV and Retention?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Sr Product Manager - LTV and Retention?
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 kraken.com 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 - LTV and Retention 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 Strategy, User Retention, Data Analysis (SQL), Growth Engineering.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.