AI Product Builder

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

Data Scientist

Ho Chi Minh - Viet Nam

Outsource

• Data Science

Formulate client business inquiries as analytical and modeling challenges, and choose appropriate methodologies. Develop, verify, and implement predictive models like propensity, segmentation, churn, forecasting, and recommendation. Plan and assess experiments, including A/B tests and incrementality studies, and communicate outcomes to varied audiences. Devise and construct anticipatory applications, involving tool-utilizing agents, multi-step workflows, retrieval-augmented generation, and prompt design. Create assessment frameworks for AI systems, comprising test sets, quality metrics, guardrails, and regression checks on model and agent behavior. Utilize AI agents and automated workflows to enhance the efficiency of analysis, code development, and documentation processes, and verify their results. Collaborate with Data Engineers to operationalize features, models, and agents on cloud platforms such as Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), and Databricks (Spark, MLflow). Record methodologies, assumptions, limitations, and deliver findings to clients and internal leadership teams.

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