Product Owner

JOB DESCRIPTION

Our Client Insights & Your Impact
You play a key role in the development of this product and business unit by being a forward thinking product owner who partners with our stellar tech team and commercial team to build out the market standard for ecommerce insights in South East Asia (and beyond).
Your responsibilities include:
Build a world-class ecommerce insights solution with an ambitious team and own the product vision
Plan and prioritize product feature backlog and development for the product
Define feature road-map and growth opportunities
Provide backlog management, iteration planning, and elaboration of the user stories
Work closely with VP of Product to create and maintain a product backlog according to business value or ROI
Play an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals
Research and analyze market & products, the users, and the roadmap for the product components
Lead product vision sessions, brainstorm and think how to productize our client’s product feature requests
Follow our competitors and the industry best practices
Keep abreast with Agile/Scrum best practices and new trends

JOB REQUIREMENT

Previous working experience as a Product Owner or Business Analyst in a software company for 3+ year(s).
You are passionate about product development, believe in the vision of our Insights solution, and you like how we can turn data into insights!
Deep understanding of Agile process and principles
Good communication, presentation skills
Good organizational and time management skills
Sharp analytical and problem-solving skills
Attention to details
Experience in e-commerce, leading a product line or delivering/managing a software project is a big plus

WHAT'S ON OFFER

Excellent and competitive compensation package
Professional and open international working environment – culturally integrating the best of all cultures to take the best of each and ensure we build an energetic, commercial, and fun working atmosphere.
You are one of the pioneers of a new and cutting edge our Client product underpinned by strong tech. You have a key position in our Client Insights team working on a unique product solving complex data challenges.
Ample opportunity for personal and professional development, both on the job and through regular training (Ecommerce topics, technical skills, soft skills and leadership training) made available on our proprietary learning platform our Client University
You will work with many brilliant co-workers who are movers and shakers of the industry, as well as with leading brand and ecosystem partners across all categories to shape their presence across all ecommerce platforms in the years to come, and will have a broad view on the latest developments in the South East Asian ecommerce ecosystem

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product, e-Commerce

Technical Skills:

Product Management

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01006

Status:

Close

Related Job:

Head of Human Resources

Ho Chi Minh - Viet Nam


Product

  • HR
  • Management

Workforce Strategy: Design and implement workforce strategies aligned with the product roadmap and business P&L priorities. Organizational Design: Lead initiatives to support scaling, restructuring, and portfolio expansion. Talent Planning: Drive long-term talent density and succession planning for critical roles. Capability Frameworks: Build capability models directly linked to business outcomes. Executive Partnership: Act as a strategic advisor to senior leadership on people-related decisions. Business Translation: Translate business strategy into talent and capability requirements. Data Insights: Provide workforce analytics to guide growth and investment decisions. Leadership Development: Strengthen leadership pipelines and organizational resilience. Hiring Standards: Elevate recruitment standards and evaluation logic to ensure long-term talent quality. High-Performance Culture: Establish a culture anchored in accountability and clarity. Leadership Programs: Build leadership development initiatives tied to strategic priorities. Performance Management: Align performance systems with measurable business impact. AI Integration: Embed AI-driven tools into recruitment, workforce planning, and performance management. Predictive Analytics: Develop predictive talent models to anticipate capability gaps. Automation: Leverage automation to improve efficiency and decision quality. AI Governance: Promote responsible AI practices in people-related processes. HR Dashboards: Build dashboards connecting people metrics to business KPIs, operationalizing AI at scale. Cultural Alignment: Strengthen organizational culture focused on innovation, speed, and ownership. Behavioral Reinforcement: Ensure hiring and leadership behaviors reflect cultural direction. Agility & Governance: Balance agility with governance in a dynamic digital environment.

Negotiation

View details

Developer Manager (PHP Technical Lead, English)

Ho Chi Minh - Viet Nam


Product

  • PHP
  • Management

Communicate with cross-functional teams including Product, Developer, QA and Executive teams. Lead project plan execution for the team's feature. Work closely with team members to research, analyze, design and estimate features based on specifications. Attend necessary meetings. Manage internal processes for team members such as hiring, training, and performance reviews. Review code submitted by team members. Provide support for resolving business logic and technical problems for team members. Handle issues from Support/QA team and/or assign them to team members accordingly.

Negotiation

View details

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Outsource

  • Data Engineering
  • Management

Design, create, and maintain scalable data infrastructure, which includes data lakes, pipelines, and metadata repositories, to ensure accurate and timely delivery of data to stakeholders. Collaborate with data scientists to develop and maintain data models, integrate data sources, and facilitate machine learning workflows and experimentation environments. Build and enhance large-scale, batch, and real-time data processing systems to improve operational efficiency and align with business goals. Use Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services like S3, Glue, EC2, and Lambda to manage data storage and compute resources, striving for high performance, scalability, and cost-effectiveness. Implement comprehensive testing and validation methods to guarantee the reliability, accuracy, and security of data processing workflows. Keep updated on the latest industry best practices and emerging technologies in data engineering and data science to suggest innovative solutions and enhancements.

Negotiation

View details