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Agentic AI Technical Product Manager
Accelerate software releases and enhance quality with AI-augmented testing for web, mobile, API, and desktop apps using no-code, low-code, or full-code workflows.
Benefits:
Competitive Pay & Bonuses
Comprehensive health coverage
Flexible work options
Generous time off
Location-Tailored Benefits
Experience Requirements:
5+ years of Product Management experience
At least 2 years leading 0→1 initiatives or building AI-native products
Hands-on experience with LLM orchestration (agents, RAG, prompt chains)
Experience running rapid, daily feedback loops and shipping functional MVPs
Prior experience as a founder, early startup employee, or owning a product line
Other Requirements:
High-Agency Communicator
Ability to define and monitor both business KPIs and AI "Evals"
Understanding of model constraints and architectural discussions
Background in software testing, QA, DevTools, DevOps, or AI-DLC workflows
Responsibilities:
Drive to PMF: Own end-to-end journey from concept to Product-Market Fit
Architect Agentic Logic: Define core agent behaviors and reasoning loops
Execute via Prototypes: Bias toward whiteboard diagrams and functional MVPs
Master the "Evals": Establish and own technical success metrics
Obsessive Discovery: Lead continuous feedback loops by talking to users daily
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Senior Engineering Manager (Open to Director Level)
Accelerate software releases and enhance quality with AI-augmented testing for web, mobile, API, and desktop apps using no-code, low-code, or full-code workflows.
Benefits:
Satisfying your financial goals through competitive compensation
Periodic performance bonuses
Comprehensive health plans
Flexible work arrangements
Generous paid leaves
Education Requirements:
Certificates of Scaled Agile Framework (SAFe)
Agile/Scrum certificates
PMP certificate
Experience Requirements:
Leading multi-regional / distributed Agile development project teams
Software delivery, development process, and engineering management
Project management, practice/service, and mentoring
Agile methodologies and DevOps culture
Jira and Confluence for project management
Other Requirements:
AI-Native Mindset: applying AI in engineering
Roadmap and product backlog definition (Themes/Epic)
Human resource management and collaboration skills
Excellent English communication
Organizational, analytical, and hustle skills
Responsibilities:
Oversee the development and implementation of Katalon's quality management platform
Work collaboratively with cross-functional teams to drive platform reliability
Provide technical leadership and guidance to the engineering team
Identify and implement process improvements
Recruit, retain, and manage a high-performing engineering team
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Join Katalon Your Way
Accelerate software releases and enhance quality with AI-augmented testing for web, mobile, API, and desktop apps using no-code, low-code, or full-code workflows.
Benefits:
Competitive Pay & Bonuses
Comprehensive health coverage
Flexible work options
Generous time off
Location-Tailored Benefits
Experience Requirements:
Passion for technology, product-led growth, and building impactful solutions
Other Requirements:
Resume/CV
Brief introduction about yourself and the kind of role you're looking for
Work samples, portfolio, or project links
Responsibilities:
Introduce yourself and tell us what you're great at
Explain where you see yourself adding value at Katalon
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Project Manager (AI Delivery/AI Lab)
Optimize business operations and customer engagement using an award-winning ecosystem of AI agents, virtual assistants, and intelligent document processing.
Benefits:
Competitive salary based on ability
Social insurance and health insurance
FPT Premium Care package
Study support package for children of FCI union
Sponsor related courses and certifications
Experience Requirements:
At least 5 years of working experience in a similar position
Experienced in project management with a corporate’s client
Experienced managing multiple projects at the same time
Experienced in AI
Other Requirements:
PMP certificate
Thorough understanding of the Project Management process’ standards
Responsibilities:
Define project scope, goals and deliverables in collaboration with stakeholders
Develop and maintain project plans, schedules, budgets, and resource allocation
Manage day-to-day project activities and risk management
Monitor project progress and adjust plans to ensure delivery on time
Coordinate project team activities and ensure effective communication
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Customer Support Executive (Remote, 3PM - 12AM)
Increase Shopify store conversions with AI-powered search, advanced product filters, and automated merchandising tailored to individual shopper behavior.
Benefits:
Performance-based Year-End Bonus
Wellness Allowance
20 days/year Time Off
MacBook Provided
Generali Health Care
Experience Requirements:
Effective Communication in writing and speaking
Multitasking Ability across various platforms
Logical and Quick Thinking for problem solving
Customer Experience Passion
Self-Motivation and Team Spirit
Other Requirements:
Working time: 3PM - 12AM Vietnam time, Monday to Friday
Responsibilities:
Efficiently responding to inquiries via live chat
Taking full ownership of customer inquiries from initial chat to diagnosis
Escalating complex issues to senior team members and developers
Creating accurate instant set-ups and snippets
Enhancing support centres by identifying article updates
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Software Engineer II (REVIEWS.io)
Increase Shopify store conversions with AI-powered search, advanced product filters, and automated merchandising tailored to individual shopper behavior.
Benefits:
Performance-based Year-End Bonus
Wellness Allowance
20 days/year Time Off
MacBook Provided
Generali Health Care
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or equivalent
Experience Requirements:
2-4 years of relevant experience in software development
Expert-level proficiency in programming principles (OOP, DRY, SOLID)
Expert-level proficiency in at least one frontend framework (React, Angular, or Vue)
Expert-level experience with backend languages such as PHP and Laravel
Proven experience leading small to medium-sized development teams
Other Requirements:
Expertise in cloud platforms (AWS, Azure, GCP)
Proficiency in prompt engineering and AI coding assistant tools
Experience with Shopify a plus
Working hours: 8:00 AM – 5:00 PM Vietnam time
Responsibilities:
Design, develop, test, and maintain complex features for cloud-based SaaS applications
Architect and implement solutions that are scalable, resilient, and maintainable
Proactively identify and address technical debt and architectural improvements
Provide technical leadership and guidance to junior engineers
Collaborate with product managers and stakeholders to define technical requirements
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Software Engineer II (Viralsweep)
Increase Shopify store conversions with AI-powered search, advanced product filters, and automated merchandising tailored to individual shopper behavior.
Benefits:
Performance-based Year-End Bonus
Wellness Allowance
20 days/year Time Off
MacBook Provided
Generali Health Care
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or equivalent
Experience Requirements:
2-4 years of relevant experience in software development
Expert-level proficiency in PHP and core programming principles
Strong experience building large-scale production PHP applications
Extensive experience with relational database design and MySQL optimization
Experience with event-driven and asynchronous systems (queues, workers)
Other Requirements:
Solid experience with CI/CD and cloud environments (AWS preferred)
Practical experience using AI coding assistants
Experience with Shopify a plus
Working hours: 8:00 AM – 5:00 PM Vietnam time
Responsibilities:
Design, develop, test, and maintain complex features for cloud-based SaaS applications
Architect and implement solutions that are scalable, resilient, and maintainable
Provide technical leadership and guidance to junior engineers
Troubleshoot and resolve complex production issues in distributed systems
Lead the development of medium to large-sized features
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Technical Product Specialist (Remote, 11PM - 7AM Vietnam time)
Increase Shopify store conversions with AI-powered search, advanced product filters, and automated merchandising tailored to individual shopper behavior.
Benefits:
Performance-based Year-End Bonus
Wellness Allowance
20 days/year Time Off
MacBook Provided
Generali Health Care
Education Requirements:
Bachelor's degree in a technical field (CS, Engineering) or equivalent practical experience
Experience Requirements:
Up to 1 year of professional experience in a technical or customer-facing role
Proficiency in JavaScript, CSS, and HTML for configuring web applications
Hands-on experience in e-commerce or customer store setups
Strong troubleshooting and problem-solving skills
Proven proficiency in technical writing and documentation
Other Requirements:
Working hours: 11:00 PM – 7:00 AM Vietnam time, Monday to Friday
Responsibilities:
Leverage JavaScript, CSS, and HTML to configure and customize apps for online stores
Diagnose and troubleshoot technical issues for customers
Engage with customers via chat and email to address support inquiries
Support Tier 1 and Tier 2 Customer Support and Customer Success teams
Document technical insights in Knowledge Base articles
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Product Owner
Achieve 20-40% higher accuracy in demand forecasting with machine learning models that adapt to your business context and automate manual spreadsheet tasks.
Benefits:
A competitive compensation package including opportunities for employee options awards
Opportunities to enjoy meaningful and disruptive works on game-changing products
A flexible, supportive and productive working environment
Passionate colleagues and friends
A strong commitment to your personal and professional growth
Experience Requirements:
Track record of 3+ years of leading and solving customer problems for B2B SaaS enterprise software products as a Product Owner or a Business Analyst
Other Requirements:
Highly analytical mind
Well developed communication skills
Effective organization and management skills
Strong UX understanding
A “can-do” attitude
Responsibilities:
Work closely with cross-functional teams to conceptualize, analyze, define, design, validate, implement and release new features
Analyze product requirements, develop appropriate user stories and manage delivery
Collaborate with and support stakeholders to develop and execute product roadmaps & planning
Collaborate to conduct user research/interview, design sprints and others product development & planning activities
Develop and drive best practices in product development & process management
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Product Designer
Achieve 20-40% higher accuracy in demand forecasting with machine learning models that adapt to your business context and automate manual spreadsheet tasks.
Benefits:
A competitive compensation package including opportunities for employee options awards
Opportunities to enjoy meaningful and disruptive works on game-changing products
A flexible, supportive and productive working environment
Passionate colleagues and friends
A strong commitment to your personal and professional growth
Experience Requirements:
Track record of 5+ years of leading and solving customer problems through production-ready design for B2B SaaS enterprise software products
Other Requirements:
Stella design thinking and design craft
Strong UX skills
Passion for excellence
Deep curiosity about how things work
A “can-do” attitude
Responsibilities:
Drive the design process and iterate designs efficiently to synthesize abstract ideas into concrete artifacts
Conduct regular audits of the product to identify areas for improvement
Engage in various forms of communication (brainstorm and design review sessions) to update teams
Effectively employ and further improve existing design systems
Assist with user researching, testing and validating designs post implementation
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Product Data Scientist
Achieve 20-40% higher accuracy in demand forecasting with machine learning models that adapt to your business context and automate manual spreadsheet tasks.
Benefits:
A competitive compensation package including opportunities for employee options awards
Opportunities to enjoy meaningful and disruptive works on game-changing products
A flexible, supportive and productive working environment
Passionate colleagues and friends
A strong commitment to your personal and professional growth
Experience Requirements:
2+ years as a Data Scientist or ML Engineer in a strong data-driven SaaS environment/product
Real-world experience in working with customers to develop and deploy Data Science and ML solutions
Other Requirements:
Solid analytical thinking and problem-solving skills
Hands-on experience and demonstrable ability to code fluently in Python
Strong working knowledge of efficient data structures, computational complexity and algorithms
Solid theoretical understanding in probability, statistics, supervised and unsupervised learning, time series
Strong experience and demonstrable skills in Data Science stack (scikit-learn, pandas, numpy, scipy)
Responsibilities:
Applying Data Science and Machine Learning to solve real-world business problems
Developing new data-science / ML functions across products
Taking charge of existing code base for continuous maintenance, bug fixing, and improvement
Working with the Software/DevOps Engineering team to brainstorm ideas and develop new features
Participate the design process for new features as a representative from the Data Science team
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