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āļāļąāļāļĐāļ°:
English, Cantonese
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĄāļĩāļ§āļīāļāļąāļĒ āđāļĨāļ°āļāļĢāļīāļāļāļąāļāļāļąāļāļāļĨāļāļēāļ.
- āļŠāļ°āļāļ§āļāđāļĨāļ°āļĄāļąāđāļāđāļāđāļāļāļēāļĢāļāļđāļāļāļļāļĒāļāļąāļāļĨāļđāļāļāđāļēāđāļāļāļļāļāđāļ§āļąāļ.
- āļĄāļĩ Growth Mindset āļĄāļāļāļ§āđāļēāļāļĩāđāđāļĄāđāđāļāđāđāļāđāļāļēāļ āđāļāđāļāļ·āļāđāļŠāđāļāļāļēāļāļāļēāļāļĩāļāđāļĨāļ°āđāļāļāļēāļŠāļāļąāļāļāļēāļĻāļąāļāļĒāļ āļēāļāļāļāļāļāļāđāļāļ.
- āļĄāļĩāđāļāļĢāļąāļāļāļēāļāļāļēāļĒ āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĄāļļāđāļāļĄāļąāđāļāļŠāļđāđāļāļ§āļēāļĄāļŠāļģāđāļĢāđāļ (āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļŠāļąāļāļŦāļēāļŊ āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ āđāļāđāđāļĄāđāļāļģāđāļāđāļ).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĩāđāļāļĩ (āļŦāļēāļāļŠāļ·āđāļāļŠāļēāļĢāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐ āļāļĩāļ āļāļ§āļēāļāļāļļāđāļ āļĢāļąāļŠāđāļāļĩāļĒ āđāļĒāļāļĢāļĄāļąāļ āļāļĢāļąāđāļāđāļĻāļŠ āļŦāļĢāļ·āļāļ āļēāļĐāļēāļāļ·āđāļ āđ āđāļāđ āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āđāļĢāļēāļĄāļĩāļāļēāļĢāļŠāļāļāļāļēāļāļāļąāđāļāđāļāđāļāļ·āđāļāļāļēāļ āđāļāđāļāļēāļāļŦāļ§āļąāļāļāļ§āļēāļĄāļĄāļļāđāļāļĄāļąāđāļāđāļĨāļ°āļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļāļĒāđāļēāļāļāļĢāļīāļāļāļąāļ.
- āļāļąāļāļāļđāđāļāļđāđāļāļ·āđāļāļŦāļĢāļ·āļāļāļđāđāđāļāđāļēāļāļąāļāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄ āļāđāļēāļ AI Tools āđāļĨāļ°āļāļēāļāļāđāļāļĄāļđāļĨāļāļĢāļ°āļāļēāļĻāļāļ§āđāļē 160,000 āļĢāļēāļĒāļāļēāļĢ (āļāļ§āđāļē 120,000 āļĢāļēāļĒāļāļēāļĢāđāļāđāļāļāļĢāļąāļāļĒāđāļāļēāļāđāļāđāļēāļāļāļāđāļāļĒāļāļĢāļ).
- āļāļđāđāļĨāđāļĨāļ°āļŠāļ·āđāļāļŠāļēāļĢāļāļąāļāļĨāļđāļāļāđāļēāļāļĒāđāļēāļāļĄāļ·āļāļāļēāļāļĩāļāđāļĨāļ°āļŠāļĄāđāļģāđāļŠāļĄāļ.
- āļāļąāļāļŦāļĄāļēāļĒāđāļĨāļ°āļāļēāļĨāļđāļāļāđāļēāđāļāđāļēāļāļĄāļāļĢāļąāļāļĒāđ.
- āđāļāļĢāļāļēāļāđāļāļĢāļāļāđāļĨāļ°āļāļīāļāļāļēāļĢāļāļēāļĒ.
- āļāļģāļāļēāļāļ āļēāļĒāđāļāđāļĢāļ°āļāļāļāļēāļĢāļ§āļąāļāļāļĨāļāļĩāđāļĄāļĩ KPI āļāļąāļāđāļāļ.
- āļāļąāļāļāļēāļāļąāļāļĐāļ°āļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļāļāđāļēāļāļāļēāļĢāđāļāđāļāđāļĨāļ° Feedback.
- āļāļģāđāļŦāļāđāļāļāļĩāđāđāļāđāļāļāļēāļāļāļēāļĒāļāļĩāđāļāđāļāļāļāļāļāļ°āđāļĨāļ°āļāļđāđāļĨāļĨāļđāļāļāđāļēāđāļāļĒāļāļĢāļ āļāļ§āļēāļĄāļāļĢāļ°āļāļ·āļāļĢāļ·āļāļĢāđāļ āļāļ§āļēāļĄāļĢāļ§āļāđāļĢāđāļ§āđāļāļāļēāļĢāļāļāļāļāļĨāļąāļ āđāļĨāļ°āļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļāđāļāļāļēāļāļĄāļĩāļāļ§āļēāļĄāļŠāļģāļāļąāļāļĄāļēāļ.
- āļŠāļīāđāļāļāļĩāđāļāļļāļāļāļ°āđāļāđāļĢāļąāļ.
- āļāļēāļĢāļāļķāļāļāļāļĢāļĄāđāļĨāļ°āđāļāđāļāļāļīāđāļāļāļĒāđāļēāļāđāļāđāļāļĢāļ°āļāļ.
- āļĄāļĩāļāļēāļĢāļŠāļāļāļāļēāļāļāļĒāđāļēāļāļāļąāļāđāļāļāļāļąāđāļāđāļāđāđāļĢāļīāđāļĄāļāđāļ āļāļĢāđāļāļĄāđāļāļĢāļāļāļīāđāļāļāđāļēāļāļāļēāļĢāļāļēāļĒ āđāļĨāļ°āđāļāđāļāđāļāļāļāļąāļ§āļāđāļāļāļąāļ§āļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ
- āļāļļāļāļāļ°āđāļĄāđāļāļđāļāļāļĨāđāļāļĒāđāļŦāđ āļĨāļāļāļāļīāļāļĨāļāļāļāļđāļ āļāđāļ§āļĒāļāļąāļ§āđāļāļ.
- āļĨāļđāļāļāđāļēāđāļāđāļēāļĢāļ°āļāļāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļĄāļĩāļĨāļđāļāļāđāļēāļŠāļāļāļāļēāļĄāđāļāđāļēāļĄāļēāļāļāļ§āđāļē 12,000 āļĢāļēāļĒāļāđāļāđāļāļ·āļāļ
- āļāļļāļāļŠāļēāļĄāļēāļĢāļāđāļāļāļąāļŠāļāļĩāđāļāļēāļĢāļāļīāļāļāļēāļĢāļāļēāļĒ āđāļāļĒāđāļĄāđāļāđāļāļāđāļŠāļĩāļĒāđāļ§āļĨāļēāļŦāļēāļĨāļđāļāļāđāļēāđāļāļ.
- āļĢāļēāļĒāđāļāđāļāļēāļĄāļāļĨāļāļēāļ āđāļĄāđāļāļģāļāļąāļāđāļāļāļēāļ.
- āļāđāļēāļāļāļĄāļĄāļīāļāļāļąāļāļŠāļđāļāļŠāļļāļāļāļķāļ 85%.
- āđāļāļīāļāļāļēāļĢāļąāļāļāļĩāļĢāļēāļĒāđāļāļ·āļāļ + āļāļāļĄāļĄāļīāļāļāļąāļāđāļāļāļāļąāđāļāļāļąāļāđāļ.
- āļāļąāļ§āđāļāļāļĢāļ°āļāļąāļāļāđāļāļāļŠāļēāļĄāļēāļĢāļāļĄāļĩāļĢāļēāļĒāđāļāđāļŠāļđāļāļŠāļļāļāļāļķāļ 600,000 āļāļēāļāļāđāļāđāļāļ·āļāļ
- Top 10% āļĄāļĩāļĢāļēāļĒāđāļāđāđāļāļĨāļĩāđāļĒāļāļĢāļ°āļĄāļēāļ 190,000 āļāļēāļāļāđāļāđāļāļ·āļāļ.
- āļĢāļēāļĒāđāļāđāļāļķāđāļāļāļĒāļđāđāļāļąāļāļāļĨāļāļēāļ āđāļĨāļ°āļŠāļ°āļāđāļāļāļāļĨāļāļĨāļīāļāļāļāļāļāļļāļāđāļāļĒāļāļĢāļ.
- āđāļāļĢāļāļŠāļĢāđāļēāļāđāļĨāļ°āļĢāļ°āļāļāļŠāļāļąāļāļŠāļāļļāļāļāļĩāđāđāļāđāļāđāļāļĢāđāļ.
- āļāļēāļāļāđāļāļĄāļđāļĨāļāļĢāļąāļāļĒāđāļĄāļēāļāļāļ§āđāļē 160,000 āļĢāļēāļĒāļāļēāļĢ.
- āļāļĩāļĄāđāļāļāļĄāļīāļāļŠāļāļąāļāļŠāļāļļāļāļŠāļģāļŦāļĢāļąāļāļāļđāđāļāļĩāđāļāļģāļāļĨāļāļēāļāđāļāļāđāļāđāļ.
- āđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļīāļāļīāļāļąāļĨāđāļĨāļ°āļĢāļ°āļāļ CRM.
- āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāđāļĨāļ°āđāļāļĢāļāļŠāļĢāđāļēāļāļāļāļāđāļāļĢāļāļĩāđāļāļąāļāđāļāļ.
- āļāļĢāļ°āļāļąāļāļŠāļļāļāļ āļēāļ.
- āđāļāļāļēāļŠāđāļāļīāļāđāļāļŠāļđāđāļŠāļēāļĒāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļŠāļēāļĒāļāļēāļāļāļ·āđāļāļ āļēāļĒāđāļāļāļāļāđāļāļĢ.
- āļ§āļąāļāļāļāļĢāļĢāļĄāļāļāļāđāļāļĢāļāļĩāđāđāļāđāļāļāļĨāļāļēāļ āđāļĨāļ°āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļĒāđāļēāļāļĄāļ·āļāļāļēāļāļĩāļ.
- āļŠāļĄāļąāļāļĢāđāļĨāļĒāļ§āļąāļāļāļĩāđ āđāļĨāđāļ§āđāļĢāļīāđāļĄāļāđāļāđāļŠāđāļāļāļēāļāļāļēāļāļĩāļāđāļāļāļļāļĢāļāļīāļāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđāļāļąāļāđāļĢāļē.
- Property Consultant (Real Estate Sales).
- Build Your Career in a High-Performance company.
- We're building the future of real estate in Thailand - a fully digital, AI-powered transaction platform that connects 6,000+ agents & agencies with 12,000+ clients every month. Backed by THB 300M+ in VC funding from top global investors, we re scaling fast with over 5,000 transactions closed per year and the most 5-star reviews in the market.
- Our goal is simple: Automate up to 80% of the sales process so our consultants can focus on what matters advising clients and closing deals.
- Who This Role Is For.
- You do not need real estate experience. We are open to beginners and career switchers.
- You are disciplined and serious about performance.
- You are comfortable speaking with clients daily.
- A growth mindset - you see this not just as a job, but a career and a platform to unlock your potential.
- Sales drive and hunger to succeed - real estate experience is a plus, not a must.
- Strong communication skills in Thai (bonus: English, Chinese, Cantonese, Russian, German, French and other languages).
- We train from zero but we expect commitment and accountability.
- Match buyers and renters with properties using our AI tools and 160,000+ active listings of which 120,000 are directly from property owners.
- Manage client communication professionally and consistently.
- Schedule and conduct viewings.
- Negotiate offers and close transactions.
- Work within a structured performance system with clear KPIs.
- Continuously improve through coaching and feedback.
- This is a client-facing sales role. Activity, responsiveness, and follow-through matter.
- What You Get.
- Structured Training & Coaching: We provide clear onboarding, sales training, and ongoing 1-on-1 coaching.You are not left alone to figure it out. .
- Strong Lead Flow: 12,000+ client inquiries per month across the platform. Focus on converting not cold prospecting..
- High commission structure (up to 85%).
- Fixed monthly guarantee + staircase commission options.
- Top agents earn up to THB 600,000/month.
- Top 10% earn around THB 190,000/month.
- Income is performance-based and directly linked to production.
- Strong Infrastructure.
- 160,000+ active listings.
- Admin support for top performers.
- Digital tools and CRM system.
- Clear internal processes and support structure.
- Additional Benefits.
- Health insurance.
- Management and cross-functional career growth opportunities.
- High-performance, collaborative culture.
- Why Join PropertyScout Now.
- We are scaling. That means opportunity.
- If you want to build a real sales career inside a structured, technology-driven brokerage and you are ready to operate at a high level this is the place.
- We invest in people who invest in their own growth.
- Apply now and start building your career in real estate..
āļāļąāļāļĐāļ°:
Social media, Multitasking, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ22,000 - āļŋ25,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Work with the team to hire various roles.
- Utilize various sourcing methods to attract and identify potential candidates.
- Review and screen numerous CVs from channels to find potential candidates.
- Conduct initial phone interviews to assess candidate qualifications and pitch our job and evaluate their skills.
- Schedule daily and weekly whether online or onsite interviews.
- Coordinate with candidates for the pre-employment process to ensure a smooth interview process.
- Create compelling job postings and promote them on social media and other online platforms.
- Utilize creative sourcing techniques to identify and engage potential candidates through social media interaction and networking.
- Bachelor's degree in Human Resources, Political Science, Business Administration, or related field.
- Fresh graduates are welcome or up to 1 year of proven experience in talent acquisition. Having mass recruitment experience would be a BIG plus..
- Must have excellent written and spoken English and Thai skills.
- Hands-on Social Media platforms.
- Ability to think creatively and strategically to attract and engage potential candidates.
- High attention to detail, well organized with a sense of urgency and self-discipline.
- Friendly, good mindset with Can-do attitude.
- Proactive, result oriented and multitasking skills.
- Job Highlight & Work Culture.
- Working 5 days a week (Monday - Friday) 9 A.M. to 6 P.M.
- Established and defined career paths.
- International work environment. New generation culture.
- Monthly Celebration & Parties. We got lots of food and drinks.
- Apply now!.
āļāļąāļāļĐāļ°:
Data Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Qualitative (FGD, IDI, Usability Test).
- Quantitative (Survey Design, Data Analysis).
- Data Analysis & Business Insight.
- Customer Experience (CX).
- Project Management.
- Presentation & Storytelling.
- Stakeholder & Vendor Management.
- Cross-functional Collaboration.
- Excel, PowerPoint āđāļĨāļ° Dashboard Tools.
- Problem Solving & Analytical Thinking.
- Communication & Influencing Skills.
- āļŠāļāļāļāļēāļĄāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ: āļāļļāļāļĢāļļāđāļāļāļīāļ§āļē 06-------425.
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļāđāļēāļāļāļēāļĢāļāļąāļāļāļĩ āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļŠāļīāļāđāļāļ·āđāļāļāļāļēāļāđāļŦāļāđ, Loan Syndication āđāļāļāļĨāļļāđāļĄāļāļĢāļ°āđāļāļĻāļāļēāđāļāļĩāļĒāļāđāļĨāļ°āļāļĩāļ āļāļĒāđāļēāļāļāđāļāļĒ 5 āļāļĩāļāļķāđāļāđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļĢāļđāđāđāļāļāļļāļĢāļāļīāļāļāļāļēāļāļēāļĢ āļāļļāļĢāļāļīāļāļĢāļ°āļŦāļ§āđāļēāļāļāļĢāļ°āđāļāļĻ āļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢ āļāļēāļĢāļāļĨāļēāļ āđāļĨāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāļāļēāļĢāļāļĨāđāļāļĒāļŠāļīāļāđāļāļ·āđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļĨāļ°āđāļāđāļēāđāļāļĢāļ°āļāļāļāļąāļāļāļĩ āļāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļāļēāļāļēāļĢ āļāļļāļĢāļāļĢāļĢāļĄāļĢāļ°āļŦāļ§āđāļēāļāļāļĢāļ°āđāļāļĻāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨ āļāļēāļĢāļāļģāđāļŠāļāļ āļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāļāļĒāļđāđāđāļāļĢāļ°āļāļąāļāļāļĩ (āļāļąāļ āļāļđāļ āļāđāļēāļ āđāļāļĩāļĒāļ).
- āļĄāļĩāļĄāļāļļāļĐāļĒāđāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩ āļĄāļĩāļāļąāļāļĐāļ° āđāļĨāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļāļĨ.
- āļŦāļēāļāļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāļ āļēāļĐāļēāļāļĩāļāļŦāļĢāļ·āļāļ āļēāļĐāļēāļāļ·āđāļ āđ āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļĢāļāļĩāļāļīāđāļĻāļĐ.
- āļŠāļāļāļāļēāļĄāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ: āđāļāļĢ. 06------425 (K.Rungtiwa).
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Define and lead end-to-end AI architecture for enterprise programs from LLM / GenAI solutions to MLOps platforms and data foundations.
- Serve as the primary AI technology advisor to C-suite and senior client stakeholders, translating business challenges into scalable AI solutions.
- Architect AI systems leveraging hyperscaler platforms (AWS, Azure, GCP) including cloud-native AI/ML services, vector databases, and foundation model APIs.
- Lead technical pre-sales: shape proposals, respond to RFPs, and present solution architectures to clients.
- Manage and mentor a team of AI engineers, data scientists, and solution architects across client engagements.
- Drive practice development define AI delivery frameworks, reusable assets, and capability-building programs.
- Collaborate with Accenture global AI CoEs, Applied Intelligence teams, and alliance partners.
- Ensure responsible AI principles, security, and governance are embedded throughout solution design.
- 12+ years of experience in technology consulting or enterprise IT, with at least 5 years focused on AI/ML architecture and delivery.
- Proven track record architecting and delivering production-grade AI solutions LLMs, RAG pipelines, agentic AI, computer vision, or predictive analytics.
- Deep hands-on knowledge of AI/ML frameworks.
- Strong experience with hyperscaler AI platforms: Azure OpenAI Service, AWS Bedrock, Google Vertex AI, or equivalent.
- Experience leading large multi-disciplinary teams and managing complex, multi-million dollar client programs is a big plus.
- Excellent communication skills able to present technical concepts to executive audiences in Thai and English.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
āļāļąāļāļĐāļ°:
Negotiation, Project Management, Research, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Manage end-to-end procurement for complex technology projects (selection, negotiation, contracting, delivery, payment, warranty) within SLA.
- Lead procurement project management with cross-functional stakeholders.
- Strategic Sourcing & RFx.
- Identify vendor partnership opportunities and alternative sourcing strategies.
- Conduct market intelligence and develop pricing benchmarks.
- Source and qualify suppliers; select and document sourcing approach.
- Develop RFPs/RFIs, define selection criteria, evaluate responses, and lead negotiations.
- Prepare recommendations for Group procurement committee approval.
- Support committee review of SOW and contract negotiations.
- Savings & Risk Management.
- Develop savings plans and track savings forecasting.
- Align activities with Group procurement strategy and targets. Identify, mitigate, and resolve Third party risks and issues.
- Vendor & Contract Governance.
- Lead vendor communications and negotiations throughout the procurement lifecycle.
- Drive SLA performance monitoring, quarterly business reviews, TPRM assessments, and contract management across the category portfolio.
- Experience.
- 2-5 years in procurement, strategic sourcing, or vendor management.
- Technology sector or financial services background preferred.
- Hands-on experience with Cloud, Enterprise Apps, IT Services, Software Solutions or Digital & Analytics is a plus.
- Education.
- Bachelor's degree or higher in Business, Supply Chain, IT, Engineering, or related field.
- Skills.
- Strong knowledge of end-to-end procurement and RFx processes.
- Effective communicator with solid negotiation skills.
- Analytical with ability to perform benchmarking and market research.
- Able to manage multiple projects and meet SLA deadlines.
- Proficient in Microsoft Office; ERP/procurement systems a plus.
- Fluent in Thai and English (written and spoken).
- Preferred.
- Familiarity with BOT/PDPA regulatory requirements.
- Experience in Group/Holding or multi-subsidiary environment.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļŠāļēāļāļēāļāļīāļāļīāļĻāļēāļŠāļāļĢāđ.
- āļĄāļĩāđāļāļāļāļļāļāļēāļāđāļŦāđāđāļāđāļāļāļāļēāļĒāļāļ§āļēāļĄāļāļēāļāļŠāļ āļēāļāļāļēāļĒāļāļ§āļēāļĄ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāđāļāđāļāļāļāļēāļĒāļāļ§āļēāļĄāļāļģāđāļāļīāļāļāļāļĩ āđāļāļĒāļ§āđāļēāļāļ§āļēāļĄāļāļģāđāļāļīāļāļāļāļĩāļāđāļ§āļĒāļāļāđāļāļāļĄāļēāđāļĨāđāļ§āđāļĄāđāļāđāļāļĒāļāļ§āđāļē 5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāđāļāļāļēāļĢāđāļāđāļāđāļēāļāļāļāļĩāđāļāđāļ āļāļāļĩāļāļēāļāļē āđāļĨāļ°āļāļāļĩāđāļĢāļāļāļēāļ āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļāļāļāļēāļĄāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ: āļāļļāļāļāļīāļāļēāļ āļąāļāļĢ 06-------451.
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- GRC Design & Governance Lead SCBX Group Own the Group GRC framework, taxonomy, change governance, and standards across all entities. Senior advisory and challenger role to subsidiaries and Group leadership..
- Operational Risk & Internal Control Lead ORM / ERM / Policy / ICM Process Owner Define and operate enterprise ORM, ERM, Policy Governance, and Internal Control Management RCSA, KRIs, incident management, risk appetite, policy lifecycle, control library and testing..
- Operational Risk & Business Continuity Lead ORM / TPRM / BCM Process Owner Own operational risk, third-party risk management, and business continuity processes vendor due diligence, BCP/BIA, crisis management, and operational resilience..
- Technology Risk & IT Third-Party Risk Lead Tech Risk / Cyber / IT TPRM Process Owner Own technology risk and IT third-party risk processes IT risk assessment, cybersecurity governance, cloud and outsourcing risk, IT regulatory compliance..
- Non-Tech PMO Lead GRC Project Establish and manage project governance, integrated plans, deliverables, dependencies, vendor coordination, steering committees, and reporting across the GRC transformation programme..
- Change Management Lead GRC Project Own the change strategy, stakeholder engagement, communications, capability building, training, and adoption across the Group for the GRC platform rollout..
- Common Requirements.
- Experience in financial services, fintech, insurance, or other regulated environments.
- Strong knowledge of risk frameworks (Basel, COSO, COSO ERM) or large-scale transformation delivery methodologies.
- Experience in enterprise-wide GRC transformation or system implementation (GRC platforms such as Archer for specialist roles; project management tools such as MS Project / Jira / Confluence for PMO and Change Management roles).
- Cross-entity / multi-entity engagement experience preferred.
- Strong stakeholder management, communication, and the ability to engage senior leadership.
- Professional certifications relevant to your discipline (e.g. CIA, CRMA, GRCP, FRM, PMP) advantage.
- Excellent Thai and English communication skills..
āļāļąāļāļĐāļ°:
Sales, Finance, Accounting
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāđāļāļāļķāđāļāđāļ āļŠāļēāļāļēāļāļēāļĢāđāļāļīāļ (Finance), āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ (Economics), āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ (Business Administration), āļāļēāļĢāļāļąāļāļāļĩ (Accounting) āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļāļēāļĒāļāļĨāļīāļāļ āļąāļāļāđāļāļĨāļēāļāđāļāļīāļāļāļĨāļēāļāļāļļāļ (Global Markets / Treasury Products) āļŦāļĢāļ·āļāļāļđāđāļĨāļĨāļđāļāļāđāļēāļāļļāļĢāļāļīāļ (Corporate Clients) āđāļāļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļāļāļĒāđāļēāļāļāđāļāļĒ 2 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĨāļīāļāļ āļąāļāļāđāļāđāļēāļ FX, Interest Rate Derivatives, Fixed Income āļŦāļĢāļ·āļāļāļĨāļīāļāļ āļąāļāļāđāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļēāļāļāļēāļĢāđāļāļīāļ.
- āđāļāđāļēāđāļāļāļĨāļīāļāļ āļąāļāļāđ Global Markets āđāļāđāļ FX, Interest Rate, Fixed Income, Derivatives āļŦāļĢāļ·āļ Structured Products.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļāļĢāļ°āđāļāļĩāļĒāļāđāļĨāļ°āļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļļāļĢāļāļīāļāļāļĨāļēāļāļāļēāļĢāđāļāļīāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļ·āđāļāđāļāđāļŠāļ·āđāļāļŠāļēāļĢ āļāļĢāļ°āļŠāļēāļāļāļēāļ āđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļāļāļēāļ\.
- āļŠāļāļāļāļēāļĄāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ: āļāļļāļāļĢāļļāđāļāļāļīāļ§āļē 06------425.
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
āļāļąāļāļĐāļ°:
SAP, SQL, Good Communication Skills
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design, implement and deploy SAP PM data migration solutions to achieve defined business goals.
- Be part of the project delivery team, leading and supporting end-to-end SAP PM implementation and data migration workstreams.
- Responsible for creating requirement traceability matrix, design documents, data migration mapping documents, and test scripts.
- Drive discussions with client business during blueprint phase to gather requirements, obtain solution design sign-off, demo configured solutions, and facilitate final UAT sign-off.
- Maintain skills in SAP PM application process design, configuration, and data migration best practices.
- Support SAP application design, development, integration, testing, deployment, and technical architecture related to PM and data migration.
- Execute data migration activities including extraction, cleansing, transformation, loading, and validation of SAP PM data objects.
- Support cutover planning, mock cutover runs, and go-live execution to ensure zero data loss and business continuity.
- QualificationsAt least 1 years of experience in SAP modules such as PM, MM, FICO, CO, PS and Data Migration or other SAP modules.
- Hands-on experience with SAP PM master data objects and data migration tools LSMW, BAPI, SAP Migration Cockpit.
- Experience with SAP S/4HANA is preferred.
- Familiarity with SAP Activate methodology is an advantage.
- ABAP or SQL knowledge for data extraction and validation is a plus.
- Good communication skills able to engage with both technical and business stakeholders.
- Good logical and analytical thinking with strong attention to data accuracy and quality.
- Ability to work under pressure during critical cutover and go-live periods.
- We are hiring Analyst to Senior Consultant levels.
āļāļąāļāļĐāļ°:
Compliance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Advise senior leaders on corporate and commercial banking transformation strategy and roadmap.
- Lead end-to-end Target Operating Model (TOM) design across Front, Middle, and Back Office.
- Drive credit lifecycle transformation (credit assessment, risk rating, ECL/IFRS9).
- Advise on transaction banking, including payments, cash management, and ecosystem strategy.
- Align business needs with technology, data, and system capabilities.
- Ensure high-quality, practical deliverables and value realization.
- Coach client stakeholders and delivery teams.
- Qualifications10+ years in Corporate or Commercial Banking (leadership or consulting).
- Strong expertise in wholesale banking and end-to-end credit processes.
- Proven experience in large-scale business and technology transformation.
- Strong stakeholder influence and executive communication skills.
- Familiarity with LOS, core banking platforms, and risk/compliance systems.
- Ability to bridge business and technology teams.
āļāļąāļāļĐāļ°:
Software Development, Java, Spring Boot, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 5+ years of experience in Software Development, with potential or experience in leading a small technical team.
- Strong proficiency in Java and Spring Boot Framework (Solid understanding of Micro services or Modular Monolith).
- Competent in Frontend Development using Angular.
- Hands-on experience with Data Engineering tools: Apache Airflow, Python, and SQL.
- Working knowledge of C# and Windows Scripting for batch process maintenance.
- Experience with Containerization (Kubernetes) and CI/CD tools (Jenkins).
- Ability to communicate technical concepts effectively in Thai and English Main Roles & Responsibilities.
- Contact: K.Kanyarut 06-------963.
- You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.
āļāļąāļāļĐāļ°:
ETL, Big Data
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
- AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
- Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
- Data Quality & Operations.
- Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
- Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
- Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
- Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
- Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
- Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
- Python: Solid foundation in writing clean, modular Python code.
- SQL: Proficiency in writing and optimizing complex queries for data analysis.
- Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
- AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
- What We Offer.
- Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
- Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
- Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
- Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
- If you re ready to build the data foundation for the next generation of AI, apply now!.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļŠāļēāļāļēāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļąāļāļāļĩ āļāļēāļĢāđāļāļīāļ āļāļēāļĢāļāļĨāļēāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļĢāļđāđāđāļāļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢāļāđāļēāļāđ āļāļāļāļāļāļēāļāļēāļĢ.
- āļāđāļēāļāļāļēāļĢāļāļāļĢāļĄāđāļāļŦāļĨāļąāļāļŠāļđāļāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāđāļēāļāļāļēāļĢāļāļĨāļēāļ āļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļ āđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄ āļĄāļĩāļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩ āđāļĨāļ°āļĄāļĩāđāļāļĢāļąāļāđāļāļāļēāļĢāđāļŦāđāļāļĢāļīāļāļēāļĢ.
- āļāļđāđāđāļāđāļēāļĢāļąāļāļāļēāļĢāļŠāļāļāļŠāļąāļĄāļ āļēāļĐāļāđāļāļąāļāđāļāļĢāļĩāļĒāļĄāđāļāļāļŠāļēāļĢāļĢāļēāļĒāļāļēāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāđāļāļĢāļāļīāļ (NCB) āđāļāļĒāļŠāļēāļĄāļēāļĢāļāļāļĢāļ§āļāļŠāļāļāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļ āļŠāļāļēāļāļāļĩāđāļāļāļāļĢāļ§āļāļŠāļāļāđāļāļĢāļāļīāļāļāļđāđāļĢāļāļĩāđāļāļĢāļīāļĐāļąāļ āļāđāļāļĄāļđāļĨāđāļāļĢāļāļīāļāđāļŦāđāļāļāļēāļāļī āļāļģāļāļąāļ (www.ncb.co.th).
- āļŠāļāļāļāļēāļĄāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ: āđāļāļĢ.02------843 (āļāļļāļāļāļąāļāļāļīāļŠāļē).
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
āļāļąāļāļĐāļ°:
Data Analysis, Research, Market Research, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Education: Fresh graduates in Computer Science. Do not apply if your most technically challenging work was an LLM-generated React website; please apply if you did machine learning, data analysis, or anything that required you to actually think and research..
- Business Understanding: The ability to understand business contexts and how your work impacts the company's bottom line is essential..
- Technical Core: Strong fundamentals in software engineering, algorithms and programm ...
- Soft Skills: Strong communication skills (English) and a drive to get things done..
- Mindset: We are looking for highly ambitious individuals who want to learn quickly, take ownership early, and grow faster than they would in a traditional graduate role..
- Conduct proofs-of-concept across new technologies, tools, and approaches the CTO is evaluating.
- Lead vendor and market research: identify options, assess fit, synthesize findings into clear recommendations.
- Write code and queries. Production-quality.
- Build and maintain data pipelines and data engineering work as needed.
- Perform data analysis to support product, operations, and strategic decisions.
- Own and track assigned cross-functional initiatives end to end, coordinating across teams.
- Support hiring, internal coordination, and day-to-day needs of the technical team.
- Company Description.
- PropertyScout is a Thailand-based Proptech startup providing a seamless end-to-end real estate transaction platform. Connecting over 5,500 agents and agencies with buyers, renters, and property owners, we serve thousands of satisfied customers monthly. Leveraging a rich database of most properties in Thailand and advanced technology, we digitize and automate 90% of real estate transactions, enabling agents to deliver exceptional service efficiently. With its focus on transparency and trust, PropertyScout has become a preferred platform for real estate in Thailand, as evidenced by hundreds of five-star reviews..
- Send your application now!.
- Please email your updated English CV to [email protected] using the format below.
- Email Subject: Technical Associate to the CTO - [Your Name].
- Please introduce yourself and answer the following questions in English.
- Why are you interested in this role?.
- When are you available to start?.
- What is your expected salary range?.
- What relevant experience do you have from internships, university projects, or coursework?.
- What is your proficiency level in spoken and written English?.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļŠāļēāļāļēāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļąāļāļāļĩ āļāļēāļĢāđāļāļīāļ āļāļēāļĢāļāļĨāļēāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļĢāļđāđāđāļāļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢāļāđāļēāļāđ āļāļāļāļāļāļēāļāļēāļĢ.
- āļāđāļēāļāļāļēāļĢāļāļāļĢāļĄāđāļāļŦāļĨāļąāļāļŠāļđāļāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāđāļēāļāļāļēāļĢāļāļĨāļēāļ āļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļ āđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄ āļĄāļĩāļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩ āđāļĨāļ°āļĄāļĩāđāļāļĢāļąāļāđāļāļāļēāļĢāđāļŦāđāļāļĢāļīāļāļēāļĢ.
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āļāļąāļāļĐāļ°:
SQL, Oracle, Data Warehousing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor s degree in computer science, Information Systems, Engineering, or a related field.
- At least 3 years of experience as a Data Engineer or in a related role.
- Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
- Experience with ETL/ELT tools such as Talend, Apache NiFi, or similar.
- Proficiency in programming languages like Python, Java, or Scala for data manipulation and automation.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
- Strong understanding of data governance, security, and privacy frameworks in a financial services context.
- Excellent problem-solving skills and attention to detail.
- Banking or financial services industry experience, especially in retail or wholesale banking data solutions.
- Certification in cloud platforms (e.g., AWS Certified Data Engineer, Microsoft Azure Data Engineer, Google Professional Data Engineer).
- Contact: K.Chalida 08-------993.
- You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.
āļāļąāļāļĐāļ°:
Sales, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ17,000 - āļŋ20,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Fast career development in one of Thailand's fastest growing and best funded startups.
- Entrepreneurial company culture, quick decision making and chance to make a difference.
- International work environment in the heart of Thonglor.
- Health insurance on top of standard social security.
- Attractive opportunity for fresh graduates.
- Searching online information, acquiring new property listing, verifying and completing property listing information to ensure we have the best and the most attractive rental and sales properties portfolio in Thailand.
- Communicating with landlords by phone, chat, email to provide recommendations about current market prices, listing marketing performances, market trends and support owners in marketing their properties by PropertyScout.
- Negotiating with landlords to ensure that we market their properties at the best market value.
- Coordinating with property developers and partners to facilitate the completion of the agreement signing process.
- Maintaining correct database to ensure most accurate and up to date listing and landlord s information.
- Open to hire fresh graduates and work experience in customer service and hospitality.
- Ideal candidates bring industry experience as a (sales) admin with a leading real estate agent in Bangkok.
- At least Bachelor s degree.
- Must have excellent written and spoken English and Thai skills.
- High attention to detail, well-organized, coachable, talkative, motivative, adaptive, growth mindset, a sense of urgency, and a drive to get things done.
- What s great about this opportunity?.
- Join an exciting and fast-growing startup in a hot industry, led by experienced Thai-international co-founders.
- Be part of a great company culture with quick decision making, fast career paths and a chance to make a difference.
- Reinvent property rentals for millions of people across SEA with us!.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We are building a real estate transaction platform enabling a trusted buying, selling, and renting experience. Basically, it is a super-app for real estate combining a technology platform with the human touch of professional agents similar to Grab. Peers in other markets are Beike in China (USD 32bn in valuation with 550k agents on the platform), Loft and Quinto Andar in Brazil (USD 3bn and 5bn valuation), or Square Yards in India. Their success is an inspiration for us to build the leading property transaction platform across Southeast Asia.
- Our Thai-international co-founder team combines successful serial entrepreneurs (last company scaled to USD 150m in sales and 180 employees) with strong leadership and innovation expertise in the digital real estate space. We have raised a total of USD 7.8m Seed funding from international VCs and industry angel investors.
- ROLE OVERVIEW.
- The Sales Training Specialist is a key member of the Training & Development team responsible for both designing high-quality training content and delivering engaging, practical learning programs for property agents and brokers. This role requires someone who is equally strong at curriculum development and facilitation, someone who can take complex sales concepts, translate them into compelling learning materials, and then bring those materials to life in the classroom and in the field..
- Training Content Development.
- Design, develop, and maintain sales training modules, playbooks, and e-learning materials tailored to property agents and brokers.
- Create onboarding programs for new agents covering PropertyScout platform usage, sales process, objection handling, and product knowledge.
- Develop role-play scenarios, case studies, and assessments based on real-world property sales situations.
- Localize and translate training content between Thai and English as required.
- Training Delivery & Facilitation.
- Facilitate classroom, online, and on-the-job training sessions for property agents and brokers across all levels.
- Conduct coaching sessions and provide individual feedback to agents on sales skills and platform usage.
- Run refresher and upskilling workshops for existing agents to improve performance and conversion rates.
- Partner with sales team leaders to identify skill gaps and co-deliver targeted interventions.
- Training Operations & Measurement.
- Track training attendance, completion rates, and post-training performance metrics.
- Gather feedback from trainees and sales managers to continuously improve training quality.
- Maintain a training calendar and coordinate logistics for training sessions.
- Report training outcomes to Head of People and sales leadership on a regular basis.
- Education.
- Bachelor's degree in Business, Marketing, Education, Human Resources, or a related field.
- Experience.
- 2-4 years of experience in sales training, learning & development, or a related role.
- Prior experience in real estate, PropTech, or training property agents/brokers is a strong advantage.
- Hands-on experience both designing training content and facilitating training sessions.
- Skills & Competencies.
- Strong presentation and facilitation skills,able to engage and motivate diverse audiences.
- Ability to design clear, structured, and visually appealing training materials (PowerPoint, Google Slides, LMS).
- Solid understanding of sales methodology and sales coaching techniques.
- Analytical mindset able to measure training effectiveness and translate data into improvement actions.
- Excellent interpersonal skills; able to build trust with agents, brokers, and sales managers.
- Proficiency in Microsoft Office / Google Workspace; familiarity with LMS platforms is a plus.
- Language.
- Thai: Native or near-native proficiency (required).
- English: Proficient in both written and spoken communication (required).
- Apply.
- Email: [email protected].
- Subject: Sales Training Specialist - Application - [ Your Name ].
- What are your biggest achievements during your career so far?.
- What is your biggest strength / asset that you can bring to PropertyScout?.
- What are your salary expectations?.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ60,000 - āļŋ80,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- PropertyScout is looking for a business-minded Legal Counsel to support commercial, corporate, regulatory, and.
- transaction-related legal matters across our real estate transaction platform.
- This role goes beyond day to day contract review. You will work directly with senior management on commercial.
- agreements, governance, BOI and foreign business matters, data privacy, digital platform topics, fundraising, M&A, and IPO-readiness projects..
- Commercial & Business Legal Support.
- Draft, review, and negotiate commercial agreements with partners, vendors, customers, agents, landlords, and.
- owners.
- Advise business teams on practical legal risks and solutions that support growth.
- Build scalable contract templates, legal processes, and internal policies.
- Coordinate with external legal counsel on major corporate transactions, critical legal projects, or litigation.
- matters.
- Corporate, Regulatory & Governance.
- Support corporate governance, board and shareholder documentation, and investor-related legal processes.
- Work on BOI, foreign business law, licensing, employment-related, and real estate platform legal topics.
- Coordinate with external counsel for specialized matters in Thailand, Singapore, and other markets.
- Digital Business, Data Privacy & Strategic Projects.
- Support PDPA, data privacy, digital platform, technology vendor, and marketing compliance matters.
- Assist fundraising, M&A, due diligence, investor documentation.
- Work with the senior management team to prepare the company for future financing rounds and potential IPO.
- Help build a strong legal foundation for a fast-growing, venture-backed technology business.
- Excellent Bachelor s degree in Law from a reputable university.
- Thai lawyer license.
- 5 years of legal experience in a leading law firm and/or company, preferable in the digital space.
- Deep commercial law experience, including drafting and reviewing contracts.
- Strong academic record, sharp legal thinking, and high attention to detail.
- Business-minded, practical, collaborative, and keen to learn about business.
- Strong ownership mindset, ability to work independently with minimal supervision, and proven reliability in.
- managing multiple topics.
- Excellent communication in both Thai and English (TOEIC score 800+).
- Good to have.
- Experience with digital businesses, platform businesses, technology, or digital law.
- Experience with BOI, foreign business law, corporate governance, M&A, fundraising, or IPO preparation.
- Experience working with startups, marketplaces, real estate, or cross-border corporate matters.
- Interest in building scalable legal processes, templates, and internal governance standards.
- Your Growth & Development.
- This is a high-exposure role in a fast-growing, well-funded proptech start-up based in Bangkok, offering a rare.
- learning opportunity for ambitious young legal professionals.
- Work directly with top management on real business, corporate, and strategic legal topics.
- Build broad legal expertise across commercial, corporate, regulatory, digital, BOI, fundraising, and M&A matters.
- Be supported by external legal experts for specialized topics while owning practical day-to-day execution.
- Learn how legal decisions connect with business strategy, operations, risk, and growth.
- Help prepare PropertyScout for future fundraising rounds and long-term IPO readiness.
- Fast career path for high performers in one of Thailand s leading and best-funded startups.
- About PropertyScout.
- PropertyScout 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 Now.
- Ready to accelerate your legal career with one of Thailand s leading startups?.
- Send your application to: [email protected].
- Subject: Legal Counsel - Application - [Your Name].
- Why are you the perfect match for this role?.
- Describe one legal project, transaction, case, or work experience where you helped solve a business problem.
- What is your expected salary range and possible start date?.
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