Senior Product Manager
Location
All India, Hyderabad
Experience
3–7 years
Required Skills
About the Role
Role Overview:
As a Product Manager focusing on Growth & Optimization at LivSYT, you will play a crucial role in enhancing and refining existing product features to maximize user adoption, engagement, and overall business impact. This hands-on position will require you to oversee the end-to-end lifecycle of specific product initiatives, collaborating closely with design, engineering, and data teams. Reporting directly to the Chief Product Officer (CPO), you will receive mentorship and strategic guidance while progressively taking on more responsibility for execution and iteration. If you are a passionate Product Manager seeking to strengthen your skills, thrive in a dynamic environment, and drive meaningful improvements to our product's performance and user experience, this role is perfect for you.
Key Responsibilities:
Qualifications:
As a Product Manager focusing on Growth & Optimization at LivSYT, you will play a crucial role in enhancing and refining existing product features to maximize user adoption, engagement, and overall business impact. This hands-on position will require you to oversee the end-to-end lifecycle of specific product initiatives, collaborating closely with design, engineering, and data teams. Reporting directly to the Chief Product Officer (CPO), you will receive mentorship and strategic guidance while progressively taking on more responsibility for execution and iteration. If you are a passionate Product Manager seeking to strengthen your skills, thrive in a dynamic environment, and drive meaningful improvements to our product's performance and user experience, this role is perfect for you.
Key Responsibilities:
Ideal Candidate
A Product Manager with 3-5 years shipping consumer or B2B features end-to-end who has demonstrated hands-on mastery of analytics tools (Mixpanel/Amplitude) and A/B testing frameworks—not just strategy.
Estimated Salary Range(medium confidence)
₹60 L – ₹95 L per year
Likely Interview Questions
- 1.Walk us through a feature you owned from problem definition to post-launch optimization—what data did you track, what did you learn, and how did you iterate?
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