Product Director

Senior Product Manager

Ho Chi Minh, Ha Noi - Viet Nam

No.1 Construction Tech company in Japan

• Product Management

#The Opportunity: As the promoter of product development projects at the company, you will gain experience in project management and development direction, working with the business department from project definition to requirements definition, development, testing, and release. In the future, you will be responsible for product management of the company's products.#Job Scope: This is an important position that involves understanding the characteristics of users of the service and driving product development projects while balancing the needs of product, sales, customer success, and engineers. #Product Management: Define the scope, objectives, and goals of product development. Build the product structure and process, create and promote schedules. #Development Direction: Working with product managers to organize requirements, design business processes, and define requirements. Creating and executing test and release plans. Creating explanatory materials for internal/customer use. Verifying post-release effectiveness and reporting. Create and maintain comprehensive product documentation #Development Environment: Backend: Ruby on Rails, Go, AWS, Elasticsearch, MySQL, DynamoDB, Redis, Terraform (IaC), OIDC (Authentication). Frontend: Next.js/React.js, Typescript, Vue.js/Nuxt.js. Mobile App: Kotlin, Swift, Flutter. CI/CD & DevOps: Docker, Kubernetes, CodePipeline, CodeBuild, CircleCI, GitHub Actions. Monitoring & Tools: Datadog, Sentry, Bugsnag, Swagger, ZenHub, Figma

Negotiation

Senior/ Lead Data Engineer (Data Platform / MLOps)

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

Director of Engineering (Lending)

Ho Chi Minh - Viet Nam

Digital Bank, Product

• Management

Leading and directing the engineering teams that are responsible for the development and maintenance of technology platforms Collaborating with stakeholders to ensure that the chosen technology aligns with the company's goals Defining a clear and forward-looking technology strategy and roadmap Researching, evaluating, and selecting technologies, frameworks, and tools, and championing new ways of working Establishing governance processes and guidelines to support engineering practices, technology adoption, and application lifecycle, ensuring compliance with security, performance, and maintenance standards Facilitating the adoption and effective utilization of the engineering stack across the group, including training, documentation, support, and fostering a culture of continuous learning and improvement within the engineering leads.

Negotiation