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Senior Product Manager, Content

Traveloka

Singapore · Full Time

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Experience
8+ yrs
Salary
Openings
1
Posted
53 minutes ago
Work mode
In office
Education
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related STEM field
Resume
Required to apply

Where you'll work

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Job description

Overview

As a Senior Product Manager on the Accommodation team, you will spearhead strategy and supervise execution for content matching. Your mission is to ensure content obtained from diverse suppliers is accurately and comprehensively matched and enhanced, maximizing the quality of Traveloka's accommodation offerings.

Key Responsibilities

  • Guarantee the precision and breadth of content matching across various supplier sources to elevate accommodation supply quality.
  • Design and implement LLM-driven strategies for matching and content enhancement to scale up matching accuracy and completeness.
  • Work closely with Engineering, Data Science, Content Operations, Customer Care, and Account Management teams to enhance matching quality and resolve any issues.
  • Create agentic AI solutions that boost operational efficiency in content management and minimize manual matching tasks.
  • Establish and monitor KPIs reflecting matching quality, including accuracy, coverage, and downstream supply standards, while maintaining a disciplined delivery pace.
  • Collaborate with engineering and data science teams to prioritize improvements in models, run experiments, and allocate data resources aimed at enhancing match quality.
  • Analyze recurrent matching failures and lead root-cause resolutions across departments.
  • Provide insight into the ethical and responsible implementation of AI in content matching and enrichment workflows.

Qualifications

  • Minimum of eight years’ experience in technical product management, managing data-intensive or technical products end-to-end.
  • Proven expertise in content or catalog matching and disambiguation within marketplace settings.
  • Experience utilizing AI technologies to drive product enhancements.
  • Solid academic and professional background in data science, computer science, machine learning, or experimental methodologies.
  • Ability to translate ambiguous matching and data quality challenges into a focused and prioritized strategic plan.
  • Demonstrated operational excellence marked by clear metric definition and consistent delivery rhythm.
  • Proficient collaboration skills across multidisciplinary teams including engineering, data science, content operations, customer care, and supplier/account management.
  • Possession of a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related STEM disciplines.

Level

Senior

Minimum education

Bachelor's Degree

How they work

Teamwork & Collaboration Problem Solving Strategic Thinking

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