เงื่อนไขการค้นหา

ทักษะ:

Product Owner, SQL, Research, English

ประเภทงาน:

งานประจำ

• Talk to agents, landlords, customers and operations teams weekly - collect ground truth, don t assume.
• Analyze funnel, listing and CRM data (Metabase/SQL, Google Sheets) to size opportunities and define success metrics.
• Use AI agents to accelerate research, competitor monitoring, prototyping and validation before anything gets built.
• Specification.
• Clearly articulate what we shall build, why and what the expected success criteria are.
• Then leverage AI to write produce specifications, including concise PRDs (problem, users, success metrics, scope, out-of-scope), design flows and wireframes, and sequenced, agent-executable tasks.
• Build & Ship with AI Agents.
• Assign, steer and review coding agents in AI-native product management tools to implement features, write tests and fix bugs.
• Work with a software engineer who reviews code for safety, simplicity and interdependencies before release.
• Own release, rollout, and adoption success together with Operations, Sales and Marketing.
• Measure & Iterate.
• Track KPIs after launch, run experiments, kill what doesn t work, double down on what does.
• Post-launch review and decision log for every meaningful ship.
• Highly analytical and strong with numbers - comfortable in working with large data sets (e.g. spreadsheets with several thousand lines of data).
• Deep working understanding of AI: LLMs, agents, prompting and context engineering, limits and failure risks of AI agents.
• Hands-on proof of building with AI: live apps, GitHub repos or shipped features built with AI coding tools (e.g. Claude Code, Cursor, Lovable, Replit). Links are required in the application..
• Understanding of how software works - APIs, data models, system dependencies - enough to spec well and judge agent output.
• Excellent English (written and spoken), strong ownership mindset, fast, structured, detail-oriente.
• Thai language skills are a big plus.
• Level A: (Senior) Product Owner.
• 3+ years working in digital product development (as Product Owner, Product Manager, software engineer, designer, or similar roles).
• Track record of shipped products with measured KPI impact.
• Proof of having integrated AI agents into own product delivery.
• Start-up or marketplace experience is a plus.
• Level B: Junior Product Owner.
• 0-2 years of full-time experience; strong academics from a top university in a quantitative field (Engineering, Computer Science, Data Science, Economics, Finance, Statistics).
• Relevant exposure through internships in product, tech, start-ups or consulting, university projects, side hustles or hackathons.
• Demonstrated AI-built projects (apps, tools, automations) - small is fine, as long as they work, you can show them, and you can explain your decisions.
• Good to have.
• Thai language.
• Experience with cloud-native product and coding AI agents orchestration setups.
• Figma, Jira, no-code automation platforms (e.g. Make, n8n).
• Real estate, marketplace or CRM domain knowledge.
• Your Growth & DevelopmentThis role is a stepping stone for a product builder who wants to work the way products are built now: AI agents do the heavy lifting, you own the direction, taste, outcome and adoption. You join a lean Thai/international team in one of the best funded start-ups in Thailand, report directly to the COO, and ship to 7,000+ agents and 10,000+ monthly customers.
• Full ownership of features from idea to KPI impact - no handover queue.
• Work with an agentic development stack most companies are only reading about.
• Work with large-scale operations covering 7,000+ agents, 250,000+ properties, and 10,000+ monthly customers.
• Direct exposure to the COO and senior management.
• Fast career path and limitless opportunities to have impact.
• BOI-promoted work permit for Thailand.
• Performance bonus and potential ESOP for exceptional candidates.
• About PropertyScoutPropertyScout is Thailand s leading end-to-end real estate transaction platform, automating 80% of the real estate transaction process to empower agents to deliver a trusted and seamless experience for tenants, buyers, and landlords. We combine technology, data, centralized operations, and a large agent network to make buying, selling, and renting property faster, more transparent, and more reliable.
• 7,000+ third-party agents and 600+ in-house agents.
• 250,000+ properties in our database.
• 10,000+ buyers, tenants, and property owners served every month.
• Venture-backed by leading international investors, with ambition to build a category-leading business across SEA.
• Apply NowReady to build products the way they will be built from now on?.
• Send your application to: [email protected].
• Subject: AI-native Product Owner - Application - [Your Name].
• Why are you the perfect match for this role?.
• Share links to 1-3 things you built with AI tools (live app, repo, demo video). What did each do, what did the AI get wrong, and how did you fix it?.
• What is your expected salary range and possible start date?.

ทักษะ:

Architecture, Assurance, React.js, Android, English

ประเภทงาน:

งานประจำ

Who We Are Located in the heart of Bangkok's Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region's leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global's world-class expertise. What We Do Sertis provides both productized and bespoke AI and Data solutio ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Leadership Skill, Python

ประเภทงาน:

งานประจำ

• Location of CP AXTRA (Head Office) 3-4 Days: https://share.google/V5Q7MuC44FS341Xhx.
• Location of CP AXTRA Lotus's (Nawamin Office) 1 day: https://maps.app.goo.gl/6cHYiNFfwE8EqrFU6.
• Working style.
• 4-5 Days at the office + work from anywhere.
• Accompany senior management on store visits on Saturdays (half-day or full-day, not every week.
• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years.
• of experience in.
• Data Platform Engineering, Data Engineering, Big Data, or AI Platform development,.
• with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.
• Experience with LLM, RAG, AI Chatbots, Agentic AI, Vector Databases, Embedding Pipelines, Feature Store, or Recommendation Systems is highly preferred.
• Experience integrating enterprise applications through REST APIs, event-driven architectures, and microservices.
• Strong understanding of Data Governance, Data Quality, Data Lineage, Metadata Management, Data Security, and Data Observability.
• Experience with Azure, AWS, or Google Cloud Platform is preferred.
• Experience with Git, Docker, Kubernetes, CI/CD, DataOps, MLOps, MLflow, or Infrastructure as Code is an advantage.
• Retail, Wholesale, or E-Commerce industry experience is highly preferred.
• Proven track record in delivering enterprise AI platforms, data platforms, or large-scale analytics solutions.
• Strong analytical thinking, problem-solving, communication, stakeholder management, and leadership skills.
• Passion for building scalable engineering platforms, mentoring teams, and delivering business impact through data and AI.
• CP AXTRA | Lotus's.
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

User Experience (UX), Google Analytics, Product Owner, Architecture, Firebase, Tableau, Android, UI / UX, Scrum, iOS

ประเภทงาน:

งานประจำ

• Take the helm of our flagship digital product and shape the future of retail technology. As the Product Manager for our App, you will drive the product vision, strategy, and execution to integrate diverse services from e-commerce and loyalty programs to digital payments into one seamless, high-performance mobile ecosystem. We believe that delivering exceptional customer experiences starts from within; therefore, you will work in an environment driven by our core values of "Harmony" and "Empathy," collaborating with teams whose well-being and happiness are the foundation of our inno ...
• Define and execute the roadmap for the App. Balance the integration of multiple "mini-apps" or service verticals within a single, cohesive user interface and unified user experience (UX).
• Act as the central hub between Business Stakeholders, UI/UX Designers, iOS/Android Tech Leads, and QA teams. Translate complex business requirements and customer needs into clear, actionable user stories and product specifications.
• Champion the voice of the customer. Utilize deep "Empathy" to understand user pain points, conduct user research, and leverage data analytics to drive product enhancements and feature prioritization.
• Manage the product backlog, lead sprint planning, and ensure the engineering team delivers maximum value in every release cycle. Make critical go/no-go decisions for feature rollouts.
• Define and monitor key product metrics (MAU, DAU, Retention Rate, Conversion, ARPU). Utilize A/B testing and data-driven insights to continuously optimize the Super App's performance and user engagement.
• Extensive experience in architecting or managing App ecosystems, digital wallets, or complex retail-tech platforms. Capable of driving portfolio-level strategies and presenting product roadmaps to Executives.
• Agile/Scrum, User Story Mapping, Wireframing, Backlog Grooming, Sprint Planning.
• Jira, Confluence, Figma, Miro, Trello.
• Google Analytics, Mixpanel, Firebase, Tableau, Amplitude (for user behavior tracking).
• Mobile App Architecture (understanding of micro-frontends/mini-apps), E-commerce, Loyalty Systems, Payment Gateways (Fintech).
• CSPO (Certified Scrum Product Owner) or PSPO (Professional Scrum Product Owner).
• AIPMM Certified Product Manager.
• Certifications in UI/UX principles or Data Analytics.
• All applications will be treated with the strictest confidentiality. If your qualifications and experience align with the requirements of the role, our talent acquisition team will reach out to you directly. In the event that there is not an immediate fit, we will securely retain your profile for consideration against future suitable opportunities.
• https://www.careers-page.com/gosoftthailandcoltd.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Software Development, Quality Assurance, Problem Solving, Architecture, Automation, Python, SQL

ประเภทงาน:

งานประจำ

• LINE MAN Wongnai is one of the fastest-growing technology companies in Thailand. We are a team of talented people working together to build a digital ecosystem that drives the country forward. By using data and AI, we create products that make a real difference in people's lives from the LINE MAN app and Wongnai POS to financial services through LINE Pay.
• We work at the point where fast-growing technology meets everyday e-commerce lifestyles, building digital infrastructure that supports 10 million users, 700,000 merchan ...
• Why this Role.
• This role re-imagines traditional IT operations by positioning you as the team's core "Builder" and creator of efficiency tools. Your mission is to transform everyday operational challenges into practical, high-impact automated systems.
• Leveraging deep technical expertise, scripting mastery, and modern AI/GenAI applications (such as Gemini Enterprise), you will design and enhance Modern Device Management while developing automation across our entire SaaS and Enterprise Software ecosystem including UEM platforms, IDPs, Google Workspace, Microsoft 365, Slack and more.
• By joining our team, you will step into a role where you can solve complex system integration challenges, drive internal innovation, and elevate both security and operational efficiency at scale.
• Endpoint Security & UEM Architecture.
• UEM Management: Lead the administration of Unified Endpoint Management (UEM/MDM) platforms to ensure all laptops and mobile devices are strictly hardened against threats.
• UEM Lifecycle Management: Continuously build, update, monitor, and troubleshoot device configurations. Ensure all changes strictly align with business requirements and company policies.
• Policy Enforcement: Define and enforce robust security baselines (e.g., Disk Encryption, Password Complexity, OS Patch Management) to achieve 100% compliance.
• Threat Mitigation: Configure automated security workflows to instantly detect, alert, and isolate non-compliant or compromised endpoints.
• Documentation: Maintain comprehensive "Security & Admin Guides," documenting configuration baselines, automation workflows, SOP and incident response procedures.
• Automation & System Integration.
• Workflow Automation: Design, build, and maintain automation scripts and internal bots (using Python, Google Apps Script, Slack Apps) to eliminate manual IT and cross-team workflows.
• System Integration: Develop custom API connectors and Webhooks to seamlessly integrate core work platforms (Okta, Google Workspace, Slack, HRIS) with internal tools for real-time data sync.
• System Configuration & Enhancement: Deep-dive into configuring Okta, Google Workspace, Gemini Enterprise, Slack, and other enterprise SaaS systems to roll out new features and apply to requirements.
• Testing & Quality Assurance: Perform rigorous testing in sandbox environments to ensure automations operate smoothly without disrupting live operations.
• Operations & Optimization.
• Problem Solving: Analyze and resolve complex technical glitches related to API integrations and scripts.
• Performance Monitoring: Continuously monitor the health, speed, and efficiency of internal scripts, bots, and integration pipelines.
• What You'll Need.
• Bachelor's degree in Computer Science, IT, Computer Engineering, or a related field (or equivalent practical experience).
• 1-3 years of experience in Software Development, Systems Engineering, IT Automation, or Enterprise Application Integration.
• Passion for Coding and Scripting Strong hands-on coding skills in Python, Google Apps Script, or PowerShell, along with SQL fundamentals.
• Expertise in REST APIs, Webhooks, OAuth 2.0, and safe credential handling/secret management.
• Hands-on experience administering at least one major UEM/MDM solution (e.g., Jamf, Kandji, Microsoft Intune, Workspace ONE).
• Strong administrative and integration experience with Okta (or similar IdP), Google Workspace, Slack and Enterprise Platforms.
• Exceptional task prioritization and time management skills. Ability to thrive in a fast-paced, high-pressure environment and effectively manage a high workload.
• Strong analytical skills, a passion for building internal tools, and an eagerness to learn and apply emerging technologies (e.g., AI/GenAI tools) to business needs.
• What Sets You Apart.
• GenAI & AI Innovation Mindset: Strong passion, curiosity, and eagerness to learn and apply emerging technologies (e.g., AI/GenAI tools like Gemini Enterprise, Claude, LLMs) to business needs and modern workplace automation.
• Proactive Builder Mentality: Strong analytical skills with a passion for identifying operational bottlenecks and building internal tools to solve them at scale.
• Security-First Automation Vision: Ability to balance strict security enforcement and endpoint hardening with a smooth, seamless end-user experience across the organization.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Social Media Management, Google Analytics, Automation, Google Ads, SEO, SEM, English

ประเภทงาน:

งานประจำ

• Tiered Portfolio Ownership: Run a hybrid operating model - full hands-on ownership of Bangkok LIFE as the flagship growth account; strategic direction, oversight and quality control for the other LIFE and VIVID brands (Layan Life, Anantara Wellness, Vivid) whose property teams execute; and limited, on-demand advisory for remaining units (e.g., AVANI Well).
• Revenue Growth Execution: Lead marketing that maximises top-line revenue and positions wellness as a high-margin business driver, holding the flagship account to explic ...
• Dual-Volume Strategy: Balance long-stay medical/healing demand with short-stay "gateway" wellness seekers to sustain consistent occupancy and yield.
• Wellness Guest Mix: Grow the share of dedicated wellness guests versus standard leisure stays through targeted digital acquisition.
• Capture Rate & Internal Conversion: Equip property teams with conversion-focused digital collateral and pre-arrival campaigns that turn leisure guests into active wellness consumers.
• CRM & Lifetime Value: Own the CRM to track conversion, analyse customer lifetime value (CLV) and lift repeat-guest ratios through personalised nurturing.
• Digital Performance & Data-Driven Acquisition.
• Central Performance Authority: Hold central ownership of the portfolio's digital performance standards - SEO, CRO, CRM and analytics - executing directly for the flagship and defining the frameworks, benchmarks and optimisation standards that property teams apply elsewhere.
• Search Engine Optimization (SEO): Own technical and on-page SEO for high-intent "Healing/Wellness" keywords, prioritising landing-page quality and bounce-rate reduction.
• Conversion Rate Optimization (CRO): Continuously test and improve conversion rates and mobile UX against company benchmarks, using structured experimentation and on-page behaviour analysis.
• Direct-to-Consumer (DTC) Strategy: Drive traffic to owned channels - the Minor Hotels App and brand sites - to grow direct, lower-cost revenue.
• Search Engine Marketing (SEM): Run Google Ads with a strict focus on Return on Ad Spend (ROAS) for high-margin treatments and packages.
• Social Media Management (SMM): Direct paid and organic social to build awareness and deepen engagement on wellness package pages.
• Brand Integrity & Innovation.
• Content Governance & Brand Consistency: Hold central authority over content standards and brand consistency across the portfolio, setting the guardrails and approval frameworks that property teams work within to protect a single, coherent brand voice.
• Scientific & Clinical Integrity: Ensure all content reflects "Integrative Wellness" and "Longevity" standards, with full compliance to evidence-based protocols.
• Collateral Development: Direct the in-house Graphic Designer, site coordinators and AI tools to maintain a high-quality, on-brand library of digital and print assets.
• Market Intelligence: Track market and competitor trends to time revenue-focused promotions during low-occupancy periods and protect therapist productivity.
• PR & Strategic Collaborations.
• Thought Leadership: Support the Commercial Director in coordinating the global PR agenda to position mSpa as a wellness and longevity leader.
• Influencer & Brand Alliances: Identify and shortlist influencers and luxury brand partners for the Commercial Director's review.
• Media Relations: Help maintain relationships with key hospitality and wellness media, coordinating responses with the Commercial Director.
• Content & Channel Management.
• Content & Editorial Calendar: Own the cross-portfolio content and editorial calendar - producing for the flagship and setting the templates and standards that property teams build on.
• Social Content & Engagement: Plan, schedule and run organic social and community engagement for Bangkok LIFE, and govern standards for other units, using a social management tool (e.g., Sprout Social).
• Website Content & Marketing Automation: Create and publish brand.com content and run monthly EDMs in-house for the brands under direct ownership, with performance reporting.
• Tiered Creative Support: Provide full creative and copy production for Bangkok LIFE, quality-controlled templates and guardrails for LIFE/VIVID teams, and limited on-demand support to other units - directing rather than servicing established teams.
• Note: Accountabilities 4 (PR & Strategic Collaborations) and 5 (Content & Channel Management), shown in italics, are held on an interim basis to maintain lean operations. PR duties are intended to transition to a dedicated PR Manager, and content duties to a dedicated Content / Social Media Manager, should the portfolio scale or these requirements expand. Until then, content and creative output is delivered by directing the in-house graphic designer, supporting unit teams and using AI-assisted tools.
• Required Skills.
• Highly data-driven, able to own digital performance end to end and convert analytics into revenue and conversion gains.
• Core digital tools (must-have): Google Analytics 4 (GA4), Google Search Console and Google Ads.
• Familiarity across the wider stack, with depth in several: an SEO suite (SEMrush, Ahrefs or equivalent) and technical-audit tooling (e.g., Screaming Frog); reporting and visualisation (Looker Studio or equivalent); and paid social (Meta Ads Manager).
• Working command of content and channel tools (to direct, not personally produce, output): a social management/scheduling platform (Sprout Social, Hootsuite or equivalent), marketing automation/EDM tools (Mailchimp, GetResponse or equivalent) and design tools for quick turnarounds (Canva; basic Adobe Creative Suite an advantage).
• Able to operate a tiered portfolio model - executing hands-on for a flagship account while governing standards and quality for teams that run their own execution.
• Comfortable briefing an in-house designer and using AI tools to generate and refine copy and visuals; excellent command of written and spoken English.
• Bachelor's degree in Marketing, Communications, or Hospitality.
• At least 7+ years of senior marketing experience - including direct ownership of digital performance and revenue targets - ideally within luxury hospitality or wellness-oriented resorts.
• Additional personal attributes including; skills, qualities or behaviors.
• Entrepreneurial, data-led mindset that thrives on driving results in a fast-paced, publicly listed environment (the "Minor" fit).
• T-shaped" marketer - deep in digital performance, broad across content and social.
• Comfortable operating differentiated levels of involvement across a portfolio without diluting central authority.
• Able to orchestrate designers, AI tools and property teams to deliver output without producing every asset personally.
• Not the right fit? Set up email alerts as new job postings become available that meet your interest!.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Software Development, Quality Assurance, Problem Solving, Architecture, Automation, Python, SQL

ประเภทงาน:

งานประจำ

• Why LINE MAN Wongnai.
• LINE MAN Wongnai is one of the fastest-growing technology companies in Thailand. We are a team of talented people working together to build a digital ecosystem that drives the country forward. By using data and AI, we create products that make a real difference in people's lives from the LINE MAN app and Wongnai POS to financial services through LINE Pay.
• We work at the point where fast-growing technology meets everyday e-commerce lifesty ...
• Why this Role.
• This role re-imagines traditional IT operations by positioning you as the team's core.
• Builder".
• and creator of efficiency tools. Your mission is to transform everyday operational challenges into practical, high-impact automated systems.
• Leveraging deep technical expertise, scripting mastery, and modern AI/GenAI applications (such as Gemini Enterprise), you will design and enhance Modern Device Management while developing automation across our entire SaaS and Enterprise Software ecosystem - including UEM platforms, IDPs, Google Workspace, Microsoft 365, Slack and more.
• By joining our team, you will step into a role where you can solve complex system integration challenges, drive internal innovation, and elevate both security and operational efficiency at scale.
• Endpoint Security & UEM Architecture.
• Lead the administration of Unified Endpoint Management (UEM/MDM) platforms to ensure all laptops and mobile devices are strictly hardened against threats.
• Continuously build, update, monitor, and troubleshoot device configurations. Ensure all changes strictly align with business requirements and company policies.
• Define and enforce robust security baselines (e.g., Disk Encryption, Password Complexity, OS Patch Management) to achieve 100% compliance.
• Configure automated security workflows to instantly detect, alert, and isolate non-compliant or compromised endpoints.
• Maintain comprehensive "Security & Admin Guides," documenting configuration baselines, automation workflows, SOP and incident response procedures.
• Automation & System Integration.
• Design, build, and maintain automation scripts and internal bots (using Python, Google Apps Script, Slack Apps) to eliminate manual IT and cross-team workflows.
• Develop custom API connectors and Webhooks to seamlessly integrate core work platforms (Okta, Google Workspace, Slack, HRIS) with internal tools for real-time data sync.
• Deep-dive into configuring Okta, Google Workspace, Gemini Enterprise, Slack, and other enterprise SaaS systems to roll out new features and apply to requirements.
• Perform rigorous testing in sandbox environments to ensure automations operate smoothly without disrupting live operations.
• Operations & Optimization.
• Analyze and resolve complex technical glitches related to API integrations and scripts.
• Continuously monitor the health, speed, and efficiency of internal scripts, bots, and integration pipelines.
• What You'll Need.
• Bachelor's degree in Computer Science, IT, Computer Engineering, or a related field (or equivalent practical experience).
• 4-6 years of experience in Software Development, Systems Engineering, IT Automation, or Enterprise Application Integration.
• Passion for Coding and Scripting.
• Strong hands-on coding skills in.
• Python, Google Apps Script, or PowerShell,.
• along with SQL fundamentals.
• Expertise in REST APIs, Webhooks, OAuth 2.0, and safe credential handling/secret management.
• Hands-on experience administering at least one major UEM/MDM solution (e.g., Jamf, Kandji, Microsoft Intune, Workspace ONE).
• Strong administrative and integration experience with Okta (or similar IdP), Google Workspace, Slack and Enterprise Platforms.
• Exceptional task prioritization and time management skills. Ability to thrive in a fast-paced, high-pressure environment and effectively manage a high workload.
• Strong analytical skills, a passion for building internal tools, and an eagerness to learn and apply emerging technologies (e.g., AI/GenAI tools) to business needs.
• What Sets You Apart.
• Strong passion, curiosity, and eagerness to learn and apply emerging technologies (e.g., AI/GenAI tools like Gemini Enterprise, Claude, LLMs) to business needs and modern workplace automation.
• Strong analytical skills with a passion for identifying operational bottlenecks and building internal tools to solve them at scale.
• Ability to balance strict security enforcement and endpoint hardening with a smooth, seamless end-user experience across the organization.