Frontend Lead
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Product
Technical Skills:
Frontend
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Salary:
Negotiation
Job ID:
J01385
Status:
Close
Related Job:
Marketing Lead/ Lead UA
Ha Noi - Viet Nam
Product
- Marketing
Taking ownership of the marketing P&L for the game portfolio (IAA & IAP) Developing tailored UA strategies for each monetization model Identifying market opportunities, target audiences, and scaling roadmaps Planning, executing, and optimizing UA campaigns across various platforms Managing UA budgets and ensuring optimal ROI Optimizing key metrics and ensuring strong UA performance Planning and leading creative strategy Collaborating with production teams to build efficient creative pipelines Optimizing store listings through A/B testing and scaling creative production Demonstrating proficiency in campaign tracking tools, analyzing data, and making timely optimizations to improve CPI, ROAS, and LTV Advising stakeholders on data-driven decision making Collaborating with Product teams to optimize ad frequency, ad placement, pricing, offers, and in-game economy Ensuring alignment between UA and monetization to maximize LTV Analyzing markets, trends, competitors, and industry benchmarks Conducting market research reports Allocating resources, establishing KPIs, and managing team performance Training, mentoring, and developing the team Building a culture that is data-driven, testing-first, and ownership-focused
Negotiation
View detailsSenior Full-Stack Engineer
Ho Chi Minh - Viet Nam
Outsource
- Backend
- Python
- Frontend
Creating and managing full-stack web applications from inception to deployment Developing and implementing backend services, APIs, and database solutions Ensuring application performance, security, and scalability throughout the stack Constructing responsive, interactive user interfaces utilizing modern frontend technologies Engaging in code reviews and offering constructive feedback to team members Staying updated with emerging technologies and industry trends Troubleshooting and resolving issues across the entire stack
Negotiation
View detailsAI-Native Software Engineering Lead
Ho Chi Minh - Viet Nam
Outsource
- Backend
- AI
Responsible for developing and evolving the AI-native SDLC operating model, including agent workflow designs, verification gates, context management standards, and evaluation frameworks Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent, from prototype to production Collaborate with the Director of Engineering to contribute to and maintain the company's AI toolchain selection criteria and evaluate tools with engineering rigor, providing internal guidance on when AI is beneficial and when it is not Establish engineering standards, agent evaluation loops, and AI output quality gates across the delivery organization Previous experience in a lead, principal, or staff engineer role with demonstrated cross-team influence Experience in outsourcing, consulting, or multi-client delivery environments Track record of building or leading an internal community of practice, guild, or AI adoption program Develop and continuously evolve the company's AI-native SDLC playbook, including standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately Design and lead internal upskilling programs that transition engineers from AI-assisted to AI-native working patterns Keep track of the AI capability frontier, model improvements, new agent frameworks, and emerging risks, translating signals into timely updates to client practices Work closely alongside Delivery Teams as an AI transformation advisor and execution partner, identifying the highest-value automation opportunities across the SDLC and coordinating with the team to implement them Design and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context, with measurable ROI Build business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and cost Represent the company's AI-native engineering capabilities in client conversations, QBRs, and RFP responses as a credible technical authority