ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Sales, Thai, English

ประเภทงาน:

งานประจำ

• Cold & Warm Calling: Conduct daily calls to qualify new and existing leads and convert them into sales opportunities across all product lines..
• Client Acquisition & Growth: Present WorkVenture's full range of products and services to prospective and existing clients, identifying the right solution for each company's employer branding needs..
• Lead List Management: Organize, tag, and prioritize leads for effective prospecting. Research company potential and identify appropriate contacts (HR Management, Talent ...
• Pipeline Reporting: Maintain accurate records of call outcomes, client interactions, and follow-ups in the CRM for weekly management review..
• Relationship Management: Build and maintain strong client relationships, assist with inquiries, and educate clients on WorkVenture's platforms and services..
• Market Intelligence: Gather feedback from calls and client conversations regarding market needs and relay insights to the Head of Sales..
• Bachelor's degree in any field..
• 2-3 years of proven experience in B2B sales, telesales, outbound sales, or recruitment sales. Performance matters..
• You love doing sales: demonstrated ability to work through lead lists without hesitation or fear of rejection..
• Strong communication and relationship-building skills; fluent in Thai with good proficiency in English..
• Disciplined, organized, and able to work independently to meet targets..
• Ability to understand and articulate multiple product offerings to different buyer personas..
• Previous experience in HR or employer branding is beneficial but not required..
• Competitive base salary (negotiable) + performance-based commission.
• Why Join Us?.
• You'll be selling market-leading products to top-tier companies, learning fast, and getting rewarded properly when you perform. During this role you'll develop broad consultative selling skills across employer branding, survey research, and recruitment solutions. If you like sales with momentum and upside, this role is for you.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

English, Thai

ประเภทงาน:

งานประจำ

• Coordinate cross-functional projects connecting sales, creative, and data analytics teams for employer branding campaign launches and renewals..
• Partner with data analysts to track project metrics, campaign performance data, and client-facing reporting dashboards throughout the project lifecycle..
• Manage project timelines, budgets, and resource allocation for employer branding campaign launches and enhancement initiatives..
• Act as the primary liaison between sales, creative/content teams, and data analytics to ensure smooth campaign delivery and communication..
• Prepare status reports, meeting notes, and stakeholder updates for leadership and cross-functional partners..
• Identify risks, dependencies, and bottlenecks in project delivery and propose corrective action..
• Support onboarding, training, and rollout of CRM and employer branding platforms and tools..
• Maintain documentation of brand guidelines, workflows, and project deliverables..
• Bachelor s degree in Marketing, Communications, Business, or a related field, or equivalent practical experience..
• Minimum 5 years of experience in project coordination, ideally within an employer branding, talent marketing, or B2B sales/agency environment..
• Demonstrated experience working alongside data analysts and interpreting campaign performance data..
• Hands-on experience with CRM platforms..
• Background in employer branding or recruitment marketing; familiarity with talent attraction campaigns is a plus..
• Strong organizational, communication, and stakeholder management skills..
• Proficiency with project management tools such as Trello, or MS Project..
• Analytical mindset with the ability to translate data insights into actionable next steps..
• What We Offer.
• Competitive salary and performance-based incentives..
• Collaborative, cross-functional team environment..
• Opportunities for professional growth within employer branding sales and program management..

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Sales, English, Thai

ประเภทงาน:

งานประจำ

• Identify and engage prospective clients through various channels, including outbound outreach such as calling and emailing.
• Manage the full sales process from initial contact, understanding requirements, presentation, negotiation to closing deals.
• Engage with clients to understand their business objectives, and employer branding needs.
• Present suitable solutions and collaborate with internal teams to develop proposals and sales materials.
• Build and maintain strong relationships with clients, including identifying upselling opportunities.
• Handle the handover of closed deals to the execution team.
• Maintain and update sales pipeline accurately in CRM or internal systems.
• Monitor market trends, employer branding practices, and competitor activities.
• What we expect from you?.
• Experience in B2B sales (3-5 years), HR solutions, recruitment, marketing agencies, or consulting industries.
• Strong communication, presentation, and negotiation skills.
• Ability to build relationships with HR leaders and senior executives.
• Results-driven with a strong commercial mindset.

ทักษะ:

Statistics, Multitasking, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์และบูรณาการข้อมูลจากหลากหลายแหล่ง เช่น ข้อมูลลูกค้า ข้อมูลทางการตลาด และข้อมูลคู่แข่ง เพื่อสนับสนุนการตัดสินใจเชิงกลยุทธ์ในการริเริ่มและพัฒนาโครงการ.
• ประเมินความเป็นไปได้และโอกาสความสำเร็จของโครงการ พร้อมนำเสนอแนวทางในการปรับปรุง ปรับเพิ่ม หรือลดรูปแบบโครงการให้สอดคล้องกับข้อมูลและเป้าหมายทางธุรกิจ.
• ใช้ข้อมูลเชิงลึกในการคาดการณ์ผลลัพธ์ของโครงการ (Performance & Outcome) และจัดทำข้อเสนอแนะเชิงกลยุทธ์สำหรับผู้บริหารและผู้มีส่วนเกี่ยวข้อง.
• ติดตาม วัดผล และประเมินความสำเร็จของโครงการ พร้อมสรุปข้อค้นพบและข้อเสนอแนะเพื่อการพัฒนาอย่างต่อเนื่อง.
• รับผิดชอบการวิเคราะห์และขับเคลื่อนโครงการหลัก Service Champion เพื่อยกระดับคุณภาพการให้บริการของพนักงาน และสร้างประสบการณ์ที่ดีแก่ลูกค้า.
• สำเร็จการศึกษาระดับปริญญาตรีในสาขา Data Science, Statistics, Computer Engineering, Information Technology, Data Management หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานด้าน Data Analytics, Business Intelligence หรือ Data Strategy อย่างน้อย 8-12 ปี.
• มีประสบการณ์ในการบริหารทีมงานด้านข้อมูล หรือการบริหารโครงการด้านกลยุทธ์ข้อมูลอย่างน้อย 3-5 ปี.
• มีประสบการณ์ทางด้านการบริหารยอดขาย และการตลาด (คุณสมบัติจำเป็น).
• มีประสบการณ์ในธุรกิจค้าปลีก ร้านอาหาร ธุรกิจน้ำมัน หรือธุรกิจอาหารและเครื่องดื่ม (F&B) (คุณสมบัติจำเป็น).
• มีทักษะในการทำงานหลายด้านพร้อมกัน (Multitasking) มีภาวะผู้นำ และมีทักษะในการบริหารจัดการทีมที่ดี.
• มีความสามารถในการคิดเชิงกลยุทธ์และเชิงระบบ โดยสามารถเชื่อมโยงการดำเนินงานเข้ากับกลยุทธ์ทางธุรกิจได้อย่างมีประสิทธิภาพ.
• มีความเชี่ยวชาญในการใช้ Power BI รวมถึงเครื่องมือและโปรแกรมด้านการวิเคราะห์ข้อมูลอื่น ๆ ได้เป็นอย่างดี (คุณสมบัติจำเป็น).
• สามารถนำเครื่องมือวิเคราะห์ข้อมูลมาใช้ในการประมวลผล วิเคราะห์ และสรุปผลเชิงลึก เพื่อสนับสนุนการตัดสินใจทางธุรกิจอย่างมีประสิทธิภาพ.
• มีความเข้าใจในการจัดการข้อมูล การสร้างรายงาน และการนำเสนอข้อมูลในรูปแบบที่ชัดเจน เหมาะสมต่อผู้บริหารและผู้มีส่วนเกี่ยวข้อง.
• สามารถทำงานในประเทศไทยได้อย่างถูกต้องตามกฎหมาย.
• สามารถเดินทางไปปฏิบัติงานต่างจังหวัดได้ตามที่ได้รับมอบหมาย.

ประเภทงาน:

งานประจำ

• Commission.
• Performance Bonus.
• Life Insurance.
• Medical Insurance.
• Dental Insurance.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Compliance, Automation, Payroll

ประเภทงาน:

งานประจำ

• Gather and analyze business requirements and translate them into system solutions.
• Design, implement, and enhance HRIS applications and workflows.
• Lead HR system projects, including configuration, testing, deployment, and support.
• Manage integrations between HR systems and enterprise applications.
• Collaborate with HR, IT teams, and vendors to deliver effective solutions.
• Ensure data accuracy, security, and compliance across HR platforms.
• Develop reports, dashboards, and analytics to support business decisions.
• Drive process improvement and automation initiatives to enhance operational efficiency.
• Bachelor's degree in Computer Science, Information Technology, Human Resources, or related fields.
• 5+ years of experience as a System Analyst, Business Analyst, or HRIS Analyst.
• Strong understanding of HR processes such as Core HR, Performance Management, Payroll, Time Attendance, and Employee Self-Service.
• Experience with HRIS platforms such as Workday, SAP SuccessFactors, Oracle HCM, PeopleSoft, or similar systems.
• Experience in system integration, API, and data management.
• Strong analytical, problem-solving, and stakeholder management skills.
• Excellent communication and project coordination skills.
• Nice to Have.
• Experience in large-scale organizations.
• Knowledge of HR reporting, analytics, and data governance.
• Experience with automation, digital transformation, or AI-enabled solutions.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

ทักษะ:

Compliance, Accounting, CPA

ประเภทงาน:

งานประจำ

• Perform daily, month-end, quarter-end, and year-end closing activities accurately and on schedule.
• Prepare and post journal entries and accruals in compliance with accounting standards.
• Support internal and external audit processes by providing required documentation and explanations.
• Coordinate with relevant departments to ensure timely and complete collection of financial data.
• Drive process improvement initiatives by identifying opportunities to automate manual activities, enhance controls, and improve operational efficiency.
• Handle ad-hoc tasks and special projects as assigned.
• Bachelor's degree or above in accounting or a related field.
• Holding or pursuing a CPA license is a strong advantage.
• 1 - 3 years of accounting experience, with a focus on daily journal entries, period-end / month-end closing processes.
• Prior experience at an audit firm is highly preferred, given the strong grounding in TFRS/IFRS standards and audit methodology.
• Solid understanding of account reconciliation, accruals, journal entries, and financial reporting.
• Proficient in Microsoft Excel; experience with ERP systems (e.g., SAP, Oracle) is an advantage.
• Talent Acquisition Department Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-------- Ext.--811.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career.
• LINE: Krungsri Career.

ประเภทงาน:

งานประจำ

• Gather, analyze, and document Business Requirements related to Collections systems and regulatory impacts..
• Facilitate requirement gathering sessions with business users, IT teams, and relevant stakeholders to support system development projects.
• Perform Gap Analysis by comparing current processes (As-Is) and future processes (To-Be) to identify system enhancement opportunities..
• Coordinate with internal teams, IT, and external vendors to identify suitable solutions and ensure timely project delivery.
• Review and validate user requirements and provide recommendations to improve feasibility and process efficiency.
• Prepare batch processing plans, test scenarios, and UAT (User Acceptance Testing) scripts to ensure systems meet business requirements..
• Support troubleshooting and resolution of BAU (Business-As-Usual) system issues in collaboration with IT and users..
• Monitor and control project implementation to ensure delivery timelines and business expectations are met.
• Investigate reported system issues and coordinate with relevant teams to implement solutions.
• Support additional assignments as required.
• Bachelor s degree in Computer Science, Information Technology, Business Information Systems, or related fields.
• Minimum 2-3 years of experience as an IT Business Analyst, System Analyst, or related role..
• Experience in Business Requirement gathering, system enhancement projects, and UAT testing..
• Experience in Project Management or involvement in system implementation projects..
• Experience in Process Improvement or Lean Process initiatives is preferred..
• At least 2 years of experience working on projects within financial services, banking, or auto leasing industries is an advantage.

ทักษะ:

Accounting, Financial Reporting, Good Communication Skills, English

ประเภทงาน:

งานประจำ

• Maintains accounting ledgers by parking account transactions to accrue expense and adjustment.
• Prepare Financial Reporting Package for all entities on monthly basis.
• Monitor all banking activities in order to detect irregularities and ensure that the amount in Accounting book is balanced with Bank book.
• Control the completeness and punctuality of monthly detailed accounts & other reconciliation accounts together with analysis VAT reconciliation and submit documentation to Tax authorities.
• Handle all related tasks for domant or liquidating entities in group company.
• At least degree in accounting.
• 1-3 years of experience in GL, operational accounting, or auditing (welcome new grads).
• Proactive, interpersonal, and good communication skills.
• Good English communication.
• Good Excel skills like applying formulas.
• SAP, Oracle are preferable.

ทักษะ:

Compliance, Research, Python

ประเภทงาน:

งานประจำ

• Build and Optimize Modern AI Applications: Design and deploy a range of LLM-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines, natural-language data querying, tool-using and function-calling workflows, and other Generative AI applications, to deliver accurate, grounded, and citable responses..
• Develop Statistical and Machine Learning Models: Develop, deploy, and maintain traditional statistical models and machine learning algorithms (e.g., regression, classification, clustering) to solve structured data problems and complement broader AI ini ...
• Collaborate with the Data Team: Work together on data preprocessing, embedding generation, and pipeline integration, leveraging the AWS enterprise data platform to supply clean, well-governed data for AI workloads..
• Optimize and Harden Production Services: Improve production AI services for reliability, scalability, latency, and cost, document solutions clearly, and communicate outcomes to both technical and non-technical stakeholders..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Bachelor s Degree or higher in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or related technical field.
• 1 to 4 years of hands-on experience in AI/ML development, or an equivalent record of strong personal projects, research, or internships building applied AI/LLM solutions.
• Programming: Strong proficiency in Python for building AI/ML applications, including working with LLM APIs/SDKs and common AI libraries, as well as practical experience in data manipulation (e.g., using Pandas or SQL to clean and prepare data)..
• LLM Development: Hands-on experience building LLM-powered applications, including prompt design, tool/function calling, and connecting models to external data and tools..
• Retrieval & Vector Databases: Familiarity with vector databases, embedding models, and chunking/retrieval strategies (such as semantic chunking, hybrid search, and reranking)..
• Statistical Modeling & Machine Learning: Solid foundation in applied statistics, probability, and classical machine learning techniques. Proven ability to evaluate trade-offs and select the optimal modeling approach for specific business objectives..
• Cloud Computing: Experience with cloud platforms. AWS is the primary ecosystem for deploying and serving AI workloads, while familiarity with GCP or Azure is a welcome advantage..
• Engineering & LLMOps: Familiarity with version control (Git) and an awareness of general MLOps/LLMOps concepts (such as basic model testing, tracking performance, or managing prompts)..