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Senior Technical Product Manager

Matia·Israel·en
PresencialTiempo completoGestión de productoData InfrastructureEnterprise Software

Lead technical product areas for a data platform covering ingestion, reverse ETL, observability, and cataloging. Partner closely with engineers and customers to define priorities, ship reliable products, and improve measurable outcomes.

Responsabilidades

  • Own product areas across ingestion, reverse ETL, observability, and data cataloging.
  • Translate complex data and infrastructure challenges into priorities, specifications, and measurable outcomes.
  • Partner daily with engineers on data modeling, replication, change data capture, synchronization performance, and schema evolution.
  • Maintain alignment with a remote product leader through written specifications and proactive updates.
  • Conduct customer calls to identify pain points, validate direction, and represent user needs.
  • Prioritize the roadmap using data, feedback, experiments, and delivery results.
  • Define product metrics and follow up after launch to evaluate outcomes.
  • Monitor the data integration and observability market to inform positioning and prioritization.
  • Help establish product processes, standards, and feedback loops.

Requisitos

  • At least 5 years of product management experience, including 2 or more years with data-intensive or infrastructure products.
  • Strong understanding of data modeling, schema design, and pipeline dependencies.
  • Working knowledge of relational database internals, especially PostgreSQL and MySQL replication, change data capture, transaction logs, and performance.
  • Strong SQL and technical fluency in data quality, freshness, completeness, and lineage.
  • Demonstrated success delivering technical products from discovery through launch with measurable results.
  • Ability to work independently with a remote manager across countries and time zones using clear, proactive written communication.
  • Comfort working in an ambiguous, fast-moving startup environment.
  • Proficiency with modern AI tools for product workflows.

Se valora

  • Experience as a software engineer, data engineer, or database administrator.
  • Background in data integration, data movement, or data observability products.
  • Experience as an early or first product manager at a startup.

Compatibilidad

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