Product Manager

Vidio; Jakarta Pusat; On-site; IDR 167,400,000 - 390,600,000; Full time

Job summary

Vidio in Jakarta is seeking a product manager focused on personalization, search, and discovery to translate metrics into hypotheses and product initiatives.

You will design experiments across homepage, results, recommendations, and CRM campaigns, partnering with data science and engineering while aligning with OTT multi‑platform behavior.

Join a team inheriting an established playbook and help shape experimentation processes from hypothesis through readout.

Qualifications

• 1-3 years of product management experience, ideally with a product that includes a personalization, search, or recommendation component.
• Strong analytical skills; comfortable working with raw data to form hypotheses.
• Hands-on experience designing and running A/B tests end to end, including defining success metrics and statistically valid test duration.
• Familiar with the basics of recommendation systems and search ranking concepts.
• Comfortable owning metrics and collaborating across data science, engineering, CRM, and content teams; clear documentation.

Responsibilities

• Share ownership of core discovery metrics with the team lead; translate metric movement into hypotheses and product initiatives.
• Design and run experiments across homepage, search results, personalized recommendations, and CRM campaigns/notifications.
• Help build and refine the team's experimentation process from hypothesis through sizing to readout.
• Inherit an established playbook and discuss trade-offs with data science/engineering (relevance vs. diversity, personalization vs. new-content discovery).
• Account for OTT-specific behavior when prioritizing; consider web, mobile, and TV surfaces.
• Write requirements and coordinate with CRM to align discovery strategy on- and off-platform.
• Conduct qualitative and quantitative research to understand discovery behavior.

Skills

Product management

Analytical skills

A/B testing

Experimentation

Cross-functional collaboration

SQL

Metabase

Experimentation platforms

Tools

Metabase

SQL

Experimentation platforms

Job description

1. Share ownership with the Discovery Team Lead of core discovery metrics. translate metric movement into hypotheses and product initiatives
2. Design and run experiments (A/B tests) across every discovery touch point: homepage, search results, personalized recommendations, and CRM campaigns/notifications
3. Help build and refine the team's experimentation process from hypothesis through sizing to readout you'll be shaping this process from an early stage rather than
4. Inheriting an established playbook. Partner with data science/data engineering to understand recommendation and search ranking models deeply enough to discuss trade-offs (relevance vs. diversity, personalization vs. new-content discovery)
5. Account for OTT-specific behavior when prioritizing. discovery patterns differ meaningfully across web, mobile app, and TV/living-room surfaces (e.g., remote-control navigation constraints, different session lengths, different UI real estate)
6. Write requirements and prioritize the roadmap based on evidence rather than assumption or stakeholder request alone. Coordinate with the CRM team to keep discovery strategy consistent between on-platform (homepage, search, recommendations) and off-platform (push notifications, email, campaigns)
7. Conduct qualitative and quantitative research (user interviews, surveys, log analysis) to understand search and discovery behavior.

Product & analytical fundamentals

• 1-3 years of product management experience, ideally with a product that includes a personalization, search, or recommendation component
• Strong analytical skills. comfortable working with raw data, not just finished dashboards, to form hypotheses
• Hands-on experience designing and running A/B tests end to end, including defining success metrics and statistically valid test duration

Domain fluency

• Familiar with the basics of recommendation systems and search ranking (e.g., personalization vs. cold-start, relevance ranking, CTR vs. conversion as a proxy metric)
• Understands that discovery metrics are interconnected across channels. a change in one surface (e.g., homepage) can affect metrics elsewhere (e.g., search) and can think in systems rather than section by section
• Comfortable with the realities of OTT/streaming: multi-platform delivery (web, mobile, connected TV), how device and screen constraints shape discovery UX, and how content catalog dynamics (live sports, VOD, series) affect recommendation strategy

Cross-functional & ownership

• Comfortable holding shared ownership of metrics rather than only executing tasks defined by others
• Able to work across teams (data science, engineering, CRM, content operations) and adapt communication to each audience
• Writes clear, structured documentation and requirements. including the "why," not just the "what"

Additonal

• Experience in streaming, e-commerce, or another platform with a complex personalization/discovery component
• Familiarity with tools such as Metabase, SQL, or experimentation platforms
• Exposure to connected TV/smart TV product experiences specifically (different interaction model from mobile/web)