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21 час назад

Associate Product Manager (Data)

Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Indonesia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Associate Product Manager (Data): Owning end-to-end data product development from discovery and PRD writing through testing, release, and post-launch monitoring with an accent on SQL analysis, technical troubleshooting, and cross-functional delivery. Focus on investigating production issues through logs, databases, and APIs, defining KPIs, building dashboards, and coordinating Engineering, Data, QA, Operations, and Business teams.

Location: Jakarta, Indonesia

Company

hirify.global operates in the fintech sector, with products involving data-driven financial technology.

What you will do

  • Own end-to-end product development from discovery and PRD writing through grooming, testing, release, and post-launch monitoring.
  • Investigate production issues using logs, SQL, and APIs, and lead root cause analysis.
  • Analyze product performance with SQL, build dashboards, and define KPIs.
  • Coordinate with Engineering, Data Science and Machine Learning, QA, Operations, Business teams, and vendors.
  • Communicate priorities, timelines, risks, and dependencies clearly.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or a related field.
  • 1–3 years of experience in Product Management, Technical Product Management, Business Analysis, or Data Analysis.
  • Strong SQL skills for analysis and troubleshooting.
  • Good understanding of REST APIs, databases, and the software development life cycle.
  • Experience collaborating with Engineering and QA teams and debugging through logs and databases.
  • Professional English proficiency required.

Nice to have

  • Fintech, SaaS, or startup experience.
  • Understanding of cloud technologies and microservices.
  • Experience with AI or ML products.

Culture & Benefits

  • Cross-functional collaboration across product, engineering, data, QA, operations, and business teams.
  • Ownership of product delivery from initial discovery through production monitoring.

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