Job Description
- Share ownership with the Discovery Team Lead of core discovery metrics. translate metric movement into hypotheses and product initiatives
- Design and run experiments (A/B tests) across every discovery touch point: homepage, search results, personalized recommendations, and CRM campaigns/notifications
- 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
- 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)
- 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)
- 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)
- Conduct qualitative and quantitative research (user interviews, surveys, log analysis) to understand search and discovery behavior.
Requirements
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)
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About Vidio
Learn MoreVidio began as a service to empower Emtek's media portfolio, but it has since evolved into a platform that supports SCM, the KapanLagi network, and hundreds of Indonesian content producers.
Industry
Media & Entertainment
Location
Jakarta Pusat, Indonesia
Company Size
>100 employees
Culture
Passionate
Strong belief and efforts are the base to achieve long term success
Integrity
We uphold honesty and virtue in every single product/service we deliver
Innovative
We strive to constantly pursue innovation of our products and services
