Senior Database Specialist (Database, AWS)

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam

Product

• Management
• Backend
• Data Engineering
• Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam

Outsource

• Data Engineering

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

Senior Product Owner - CRM Domain

Ho Chi Minh - Viet Nam

• Product Management

#Product Strategy & Business Value Management Roadmap Direction: Collaborate with PM to develop short- and long-term CRM domain development roadmap, ensuring alignment with the company's business objectives. Business Problem Identification: Proactively engage in R&D with C-Level and departments to shape solutions to increase sales productivity and customer care efficiency. Business Value Quantification: Analyze and demonstrate business effectiveness through intelligent processes and measurable metrics.#Technical Expertise & Integrated System Thinking Integrated Solution Design: Responsible for designing, analyzing, and modeling complex, highly interconnected business workflows such as End-to-End Sales Funnel, Automated Lead Scoring, Omnichannel Customer Journey, and Cross-department Workflow Automation. Ecosystem Synchronization: Ensure smooth integration of CRM data architecture and business logic with other core systems in the company (ERP, Data Warehouse, Marketing Automation, POS). Establish Standards (Governance Framework): Build and maintain standards for customer data structure (Master Data Management), interaction rules, and information security on the CRM system.#Execution Management & Collaboration Roadmap Decomposition Management: Receive overall strategy and roadmap from PM to translate them into long-term and midterm Product Backlog for the CRM domain. Collaborate with PO team: Coordinate, guide, and review technical documents (PRD, User Stories, Mockups) from POs in the domain to ensure each PO's solution does not conflict and meets the highest quality standards. Output Quality Management: Responsible for monitoring Sprint progress, conducting User Acceptance Testing (UAT), and ensuring optimal user experience (UX) on the CRM system for maximum operational efficiency.#Biz-Tech Bridge & Effectiveness Measurement Business Problem Transformation: Work closely with PM and operational departments (Sales, Marketing, CS) to transform business problems into clear, feasible system requirements for the Tech team. Data-Driven Optimization: Track, analyze operational metrics and product health indicators (Conversion Rate at each stage, Churn Rate, User Adoption Rate) to propose personalized enhancement solutions and automation to increase productivity for the business.

Negotiation