Senior Product Growth Marketer

AstroPay

Argentina

Presencial

ARS 90.547.000 - 150.912.000

Jornada completa

hace 15 horas
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Descripción de la vacante

AstroPay is seeking a Senior Product Growth Marketer who is a builder at heart. This is an individual contributor role for someone who combines growth, product marketing, data, execution, and AI.

You’ll independently identify problems, derive insights from data, and translate them into campaigns, experiments, automations, or projects that move key metrics. We expect you to own campaigns end-to-end: activate users, boost product adoption, improve retention, recover churned users, and drive

Formación

  • Strong experience across Growth, Product Marketing, Lifecycle, or similar roles.
  • Highly analytical and curious about why metrics move.
  • Ability to go from data → insight → hypothesis → execution → impact.

Responsabilidades

  • Find problems through data and identify opportunities in funnels, cohorts, retention, churn, activation, monetization, and product usage.
  • Turn insights into execution with hypotheses, KPIs, and campaigns or experiments.
  • Own campaigns end-to-end to activate users, increase adoption, improve retention, recover churn, and drive incremental revenue.
  • Measure the impact of initiatives, learn, and iterate.
  • Work hands-on with data and dashboards; SQL is a strong plus.

Conocimientos

Growth
Product Marketing
Lifecycle
Analytical
SQL
AI
Experimentation
Automation
Cross-functional collaboration
Independent execution

Herramientas

SQL

Descripción del empleo

We’re looking for a Senior Product Growth Marketer who is a builder at heart. This is a senior individual contributor role for someone who combines growth, product marketing, data, execution, and AI.

Someone who can independently find problems, understand them through data, and turn those findings into campaigns, experiments, automations, or projects that move business metrics.

This is not a people management role. Seniority here means being able to solve complex problems and execute independently, not managing a team.

Key Responsibilities
  • Find problems through data. Analyze funnels, cohorts, retention, churn, activation, monetization, and product usage to proactively identify opportunities.
  • Turn insights into execution. Go from a data finding to a hypothesis, define the KPI you want to move, and build the campaign, experiment, or project to move it.
  • Own campaigns end-to-end. Build and launch initiatives to activate users, increase product adoption, improve retention, recover churned users, and drive incremental revenue.
  • Measure what you ship. Understand whether an initiative actually generated incremental impact, learn from it, and iterate.
  • Work hands-on with data. Be comfortable navigating dashboards, building analyses, segmenting users, and answering your own questions with data. SQL is a strong plus.
  • Build automations. Identify repetitive or inefficient processes and create workflows, automations, or tools that make the team faster.
  • Be AI-driven. Use AI as part of your daily workflow to analyze, research, prototype, automate, build, and execute — not just to generate content.
  • Operate across teams. Work closely with Product, Data, Engineering, CRM, Design, and other teams to get initiatives shipped.
  • Communicate at a senior level. Clearly explain opportunities, business cases, results, and trade-offs to C-level stakeholders and the Board when needed.
Experience And Expertise
  • Strong experience across Growth, Product Marketing, Lifecycle, or similar roles.
  • Highly analytical and naturally curious about why metrics move.
  • Ability to independently go from data → insight → hypothesis → execution → impact.
  • Experience building campaigns across activation, engagement, retention, churn, and reactivation.
  • Strong business judgment and understanding of how your work connects to KPIs and revenue.
  • High autonomy, problem-solving ability, and comfort getting into the tools and executing yourself.
  • Strong bias toward shipping and iterating rather than over-planning.
  • Active use of AI and a constant drive to automate or improve how work gets done.
  • Ability to operate effectively with senior and C-level stakeholders.
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