Product Manager, Growth & Analytics
New
United StatesFull-TimeMiddle
Salary120000 - 190000 USD per year
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Job Details
- Experience
- 4–6 years
- Required Skills
- SQLA/B testing
Requirements
- 4–6 years of experience in product management, growth, analytics, or a closely related role with full ownership of product execution
- Strong SQL skills including CTEs, window functions, cohort analysis, and funnel-based querying
- Experience working with cloud data warehouses and building dashboards or recurring analytical reports
- Ability to write clear product specifications that guide engineering execution and data-driven summaries for leadership
- Hands-on experience running experiments and understanding the full lifecycle of product testing and learning
- Strong analytical mindset with the ability to interpret complex datasets and translate them into product decisions
- Familiarity with A/B testing frameworks and experiment design methodologies
- Experience with consumer, messaging, or subscription-based products is a plus
- Ability to work with imperfect or incomplete data while maintaining analytical rigor
- Strong communication skills and ability to operate independently in a fast-paced, distributed team environment
Responsibilities
- Own end-to-end product execution for growth initiatives, including defining specs, user stories, success criteria, and experiment frameworks
- Design, run, and analyze experiments from hypothesis to launch to results interpretation, ensuring clear learning outcomes
- Build and maintain core product dashboards covering activation, retention, conversion, and engagement metrics used by leadership
- Conduct deep-dive analysis when key metrics shift, identifying root causes and recommending actionable solutions
- Collaborate with engineering and support teams to validate product behavior and confirm the impact of shipped features
- Maintain accurate and up-to-date product documentation, including specifications, release notes, and internal references
- Translate data insights into product decisions and communicate findings clearly across technical and non-technical stakeholders
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