Senior Product Growth Marketer
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Job Description
Senior Product Growth Marketer turning product data into growth campaigns, experiments, and automations. Improving activation, retention, reactivation, and revenue through AI-driven execution.
Responsibilities:
- Independently identify business problems through data analysis.
- Develop hypotheses and define KPIs to improve.
- Build and launch end-to-end growth and product marketing campaigns.
- Drive activation, product adoption, retention, churn recovery, and incremental revenue.
- Analyze campaign impact and iterate based on results.
- Build user analyses, segments, workflows, automations, and tools.
- Collaborate with Product, Data, Engineering, CRM, Design, and other teams to ship initiatives.
- Present opportunities, business cases, results, and trade-offs to C-level stakeholders and the Board.
Requirements:
- Find problems through data by analyzing funnels, cohorts, retention, churn, activation, monetization, and product usage.
- Turn data findings into hypotheses, KPIs, campaigns, experiments, or projects.
- Build and launch initiatives for user activation, product adoption, retention, churn recovery, and incremental revenue.
- Measure incremental impact, learn from results, and iterate.
- Navigate dashboards, build analyses, segment users, and answer questions with data; SQL is a strong plus.
- Identify repetitive or inefficient processes and create workflows, automations, or tools.
- Use AI daily to analyze, research, prototype, automate, build, and execute.
- Work across Product, Data, Engineering, CRM, Design, and other teams.
- Communicate opportunities, business cases, results, and trade-offs to C-level stakeholders and the Board.
- Strong experience across Growth, Product Marketing, Lifecycle, or similar roles.
- Highly analytical and curious about why metrics move.
- Ability to independently progress from data to insight to hypothesis to execution to impact.
- Experience building campaigns across activation, engagement, retention, churn, and reactivation.
- Strong business judgment and understanding of KPIs and revenue.
- High autonomy, problem-solving ability, and comfort executing directly in tools.
- Bias toward shipping and iterating.
- Active use of AI and drive to automate or improve work.
- Ability to operate effectively with senior and C-level stakeholders.
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