(Senior) Product Specialist, ZVAS

zStyle is built on top of Zalo, one of Vietnam's largest consumer platforms with over 100 million users—giving you the scale, rich behavioral data, and ecosystem to build products that can reach millions.

As zStyle enters its next stage of growth, there are still significant opportunities to shape the product experience, unlock new user behaviors, and build smarter ways to create value for both users and the business.

If you enjoy deeply understanding problems, working with data, building with technical teams, and turning insights into products that people love, zStyle gives you both the scale to make an impact and the space to shape what comes next.

Responsibilities:

Build better discovery & personalization

• Own initiatives that help users discover, explore, and apply themes, music, frames, and other personalization content;
• Dive into user behavior and data to identify opportunities, uncover root causes, and turn insights into clear product hypotheses and experiments;
• Partner with Data/ML, Engineering, and Design to build increasingly relevant and personalized experiences;
• Prioritize opportunities based on user value and business impact, define success metrics, and continuously iterate based on results.

Build habit & engagement

• Identify opportunities to turn personalization from a one-off action into a recurring habit;
• Own experiences across onboarding, reminders, quests, and seasonal content that encourage users to come back and engage;
• Think beyond individual features and design product loops that connect content, behavior, and repeat usage;
• Use data and experimentation to understand what drives sustainable growth, make trade-offs, and scale what works.

Requirements:

• 3+ years of experience in Product Management or related roles within consumer technology;
• Proven B2C product experience, owning customer-facing digital products from discovery through launch and optimization;
• Strong analytical, product, and business thinking—able to turn user insights and data into clear decisions and measurable impact;
• High ownership and attention to detail, with a bias for action and the ability to navigate ambiguity and work effectively with technical teams.

Nice to have

• Experience in recommendation, personalization, retention, engagement, or consumer products;
• Strong understanding of product metrics, funnels, cohorts, and experimentation;
• Familiarity with APIs, data pipelines, ML/recommendation systems, or other technical concepts;
• Systems thinking—seeing how product, user behavior, data, and business outcomes connect.