Product Manager Sênior / Especialista – Aplicativo (Retenção & Monetização)
New
BrazilFull-TimeSenior
SalaryCompetitive compensation under a PJ (service agreement) model.
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Job Details
- Experience
- 5+ years
- Required Skills
- Data AnalysisProduct ManagementA/B testing
Requirements
- 5+ years of experience in Product Management, with significant exposure to B2C digital applications.
- Proven track record of delivering initiatives focused on retention, engagement, monetization, or user growth.
- Strong analytical skills, with deep experience in product metrics, funnels, cohorts, segmentation, and behavioral analysis.
- Hands-on experience designing and executing large-scale A/B testing and experimentation frameworks.
- Ability to translate complex data into clear, actionable product recommendations.
- Strong understanding of growth metrics such as retention, DAU/MAU, churn, LTV, activation, conversion, and usage frequency.
- Experience working closely with Data Analytics or Data Science teams.
- Excellent communication skills with the ability to influence both technical and non-technical stakeholders.
- Strong execution mindset, balancing strategic thinking with operational delivery.
Responsibilities
- Define and execute the product growth strategy for the mobile app, with a strong focus on retention, engagement, and monetization of the user base.
- Identify growth opportunities through behavioral analysis, user segmentation, and customer research, translating insights into product initiatives.
- Lead and scale initiatives to improve user recurrence, frequency, activation, and revenue generation across the existing customer base.
- Design, run, and analyze A/B tests and experiments to validate hypotheses and optimize key performance metrics.
- Collaborate closely with Design, Engineering, Data, CRM, and Marketing teams to deliver personalized and high-impact user experiences.
- Build and maintain analytical frameworks to monitor user behavior across the full lifecycle and support data-driven decision-making.
- Define and track key success metrics, ensuring continuous learning and iteration based on performance results.
- Act as a strong advocate for data-driven decision-making across product discussions and leadership forums.
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