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Skills:

Automation, Java, Python

Job type:

Full-time

• Integrity: Be honest and ethical | Do what is right.
• Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
• Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
• Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
• Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
• Develop, unit test/test automation, and maintain software applications.
• Collaborate with cross-functional teams to define, design, consult and ship new features.
• Write clean, scalable, and efficient code.
• Troubleshoot, debug, and upgrade existing software.
• Participate in code reviews and provide constructive feedback.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, or IT-related fields.
• Fluent in English: TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+.
• Proficiency in programming languages such as Java, Python, C++ or C#,.NET or JavaScript/TypeScript.
• Experience with software development frameworks and tools (e.g., Spring, Django, React, Git or GitHub, DevOps principal).
• Cloud Technology platform (preferably Azure, AWS).
• Strong analytical skill, problem-solving skill and attention to detail.
• Excellent written and verbal communication and teamwork abilities.
• Self-motivated, able to work independently, and skilled at managing schedules for time-sensitive projects.
• Understanding of network topologies and common network protocols and services (e.g., DNS, HTTP(S), SSH, FTP, SMTP).
• CI/CD Pipelines: Experience in build, test, and deploy processes (preferably GitHub Actions/Workflows).
• API & Integration: Development of Web/RESTful services, APIs, and API Management (APIM).
• APIs security best practices and Modern Authentication (e.g. OAuth2, OIDC) plus experience debugging production issues.
• Software Testing (Unit testing, Integration testing).
• Experience or exposure to Infrastructure as Code (IaC) tools like Terraform.
• Experience or exposure to AI technologies (e.g., integrating AI APIs, building AI-driven features, prompt engineering, GitHub Copilot).
• English language (TOEIC, TOEFL, IELTS) - Scores issued within the last 2 years are valid for upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( สด.8 หรือ สด. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
• For more information about business solicitation and recruiting scams, please click here.
• We thank you for your interest in ExxonMobil. .
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• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Skills:

Internal Audit, Python, SQL, English

Job type:

Full-time

• Get requirement form various team i.e., internal audit, Retails audit for preparing data.
• Study data source & data structure, Carrying out preprocessing of structured and unstructured data.
• Design data base for store data from source.
• Develop query for import and data cleansing, Data mining or extracting usable data from valuable data sources. Enhancing data collection procedures to include all relevant information for developing analytic systems.
• Processing, cleansing, and validating the integrity of data to be used for analysis.
• Developing prediction systems and machine learning algorithms. Using machine learning tools to select features, create and optimize classifiers. Analyzing large amounts of information to find patterns and solutions.
• Co-ordinate with developer team to prepare dashboard report for resenting results in a clear manner.
• Propose solutions and strategies to tackle business challenges and Collaborate with Business and IT teams.
• Maintenance database and optimized for best performance.
• Backup, retore, testing data from backup to make sure that all system functional.
• Bachelor s or master degree in IT and related field.
• Experience with Python, SQL Query language, Minimum of 2 years experience.
• Data analytic skills.
• Understand Business process, operation, data structure and data flow.
• Good inter personal skill and negotiation.
• English communication, Computer literacy (i.e. Excel, Power Point, Word, etc.).

Skills:

SQL, Power BI, Python

Job type:

Full-time

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็นSQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking..

Skills:

Compliance, Research, Python

Job type:

Full-time

• 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)..

Skills:

SQL, Power BI, Python

Job type:

Full-time

• Develop and integrate machine connectivity (PLC, sensors) to data platforms.
• Design and implement real-time dashboards (OEE, downtime, production KPIs).
• Lead digital transformation initiatives (MES, IoT, automation).
• Analyze manufacturing data to improve productivity and reduce losses.
• Collaborate with production and maintenance teams to deploy solutions.
• Experience in manufacturing environment (mandatory).
• Knowledge of PLC, SCADA, or industrial communication protocols.
• Strong data skills (SQL, Power BI, Python preferred).
• Strong automation (RPA, Power Automate, Power App).
• Experience with IoT / MES systems, AI / Predictive maintenance is a plus.
• Strong problem-solving with hands-on implementation mindset.

Skills:

Statistics, Big Data, Python

Job type:

Full-time

• Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
• Data Cleansing and Processing-massage and organize data for further advance analytic.
• Correlate disparate datasets.
• Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
• Identify new business questions that can add value to organization.
• Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
• Discover and create new data features leading to data solutions creation.
• Using data visualization technique and presenting clear outcome as storytelling.
• Apply now if you have these advantages.
• Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
• Must have experience in personalize recommendation and offering for mobile application users.
• 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
• 2+ years of experience in Big Data or AI/ML projects.
• 2+ years of experience in Enterprise Data Warehouse and/or data mining.
• Experience in solving business questions projects.
• Strong in Mathematics & Statistics.
• Strong in programming skill: prefer R, Python, SQL.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• 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).

Experience:

3 years required

Skills:

Python

Job type:

Full-time

• Embed with enterprise customers to understand their workflows, data environments, and operational constraints and build AI solutions that fit their reality, not a sanitized sandbox.
• Own implementations end-to-end: from scoping and solution design through integration, testing, deployment, and handoff.
• Rapidly diagnose technical blockers messy data, broken integrations, edge cases, legacy system quirks and solve them yourself without waiting on a queue.
• Agentic AI Engineering.
• Design, build, and orchestrate multi-step AI agents that automate complex workflows across enterprise systems.
• Work with frameworks like LangGraph, LangChain, or similar to architect reliable, production-ready agentic pipelines.
• Apply sound judgment about what should be automated vs. what requires human-in-the-loop, and design accordingly.
• Continuously tune agent behavior based on real-world usage patterns you observe in the field.
• Technical Breadth.
• Build custom integrations, connectors, and data pipelines to bridge enterprise tech stacks with AI infrastructure.
• Work across the stack APIs, vector databases, LLM APIs, cloud infrastructure, and front-end surfaces to deliver complete, working systems.
• Write clean, maintainable code that others can build on top of.
• Product & Feedback Loop.
• Identify patterns across customer engagements that signal genuine product opportunities and advocate for them with engineering and product teams with precision.
• Contribute to building internal tooling and repeatable delivery assets (deployment templates, agent blueprints, evaluation frameworks) that make the next implementation faster.
• Optionally: take ownership of building product features or internal tools that emerge from your field insights.
• Must-Haves.
• 3+ years of software engineering experience, with at least 1-2 years focused on AI/ML systems in production environments.
• Hands-on experience building with LLMs (OpenAI, Anthropic, Gemini, or open-source models) prompt engineering, RAG pipelines, fine-tuning, evaluation.
• Experience designing and deploying agentic AI workflows multi-step reasoning, tool use, memory, planning.
• Strong programming skills in Python; comfortable with APIs, cloud services (AWS/GCP/Azure), and enterprise databases.
• Proven ability to work directly with enterprise customers or technical stakeholders you can translate complexity into clarity.
• End-to-end ownership mindset: you're not done when the code ships; you're done when the customer succeeds.
• Strong Signals We'll Look For.
• You've debugged a production AI system that was misbehaving inside a customer's environment and fixed it under pressure.
• You've built something agentic that actually ran in production not just a toy demo.
• You have opinions about AI system design, and you can back them up with experience.
• You've identified a customer problem that became a product feature.
• You've shipped something end-to-end a product, a tool, a system that you designed yourself from scratch.
• The Kind of Person Who Thrives Here Genuinely obsessed with AI. You follow the field closely, experiment constantly, and have strong convictions about where it's going.
• Builder-first. When you see a problem, your instinct is to build a solution not write a requirements doc and wait.
• Comfortable with ambiguity. Enterprise environments are messy. You adapt fast, learn from what you observe, and iterate in real time.
• Outcome-driven. You measure success by customer impact, not lines of code or tickets closed.
• Low ego, high ownership. You'll do what it takes including the unglamorous work to get something across the finish line.
• Flexible working hour.
• Hybrid Working.
• Group health insurance.
• You pick your equipment (Mac / Windows).
• Grab Food and Grab Transportation.
• Free snacks & drinks (at the office).
• Pay 100% for Job-related Training Courses.
• Free language course and certificate fee.

Skills:

Finance, Microsoft Office, Python, English

Job type:

Full-time

• Manage assigned portfolios as part of a Foreign Investment Fund Team which includes mutual funds (feeder and fund of funds), provident funds, and private funds in pursuit of outperformance over the assigned benchmark and/or designated target return.
• Analyze factors influencing foreign exchange market in order to generate and recommend FX investment strategy.
• Handle portfolio management activities including executing trades and dealing with orders across various investment products such as FX (spot and derivatives), ETFs, St ...
• Conduct study on a variety of global assets and markets as assigned, and be able to form investment recommendation and constructively discuss market outlook with other team members.
• Keep updating foreign master fund performance, market outlook, and investment strategy.
• Help prepare due diligence documents requested by trading counterparties to ensure trading process runs smoothly.
• Conduct trade modeling, investment analysis, performance attribution, or any other tasks that might be required.
• Bachelor s Degree or higher in Economics, Finance, Business or related fields.
• Minimum experience of 2 years with asset management firms.
• Fresh graduates with outstanding background will be considered.
• Strong analytical skills in both qualitative and quantitative methods.
• High computer proficiency in Microsoft Office, especially in Microsoft Excel.
• Proficiency to code in VBA or Python will be considered more favorably.
• Good command of written and spoken in English.
• Passing at least one level of CFA or CISA will be an advantage.
• We're committed to bringing passion and customer focus to the business.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Skills:

SQL, Python, SAS

Job type:

Full-time

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment..

Experience:

3 years required

Skills:

Python, Scala, Full Stack

Job type:

Full-time

• Apply software development practices and standards to develop robust and maintainable software.
• Actively involved in every part of the software development life cycle.
• Experienced at guiding non-technical teams and consultants in and best practices for robust software development.
• Optimize and enhance computational efficiency of algorithms and software design.
• Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases.
• Enjoy collaborating in teams to share software design and solution ideas.
• A natural problem-solver and intellectually curious across a breadth of industries and topics.
• What You'll Bring.
• Degree in Computer Science or related field.
• 3-8 years of experience in a software development environment, previous consulting experience and/or strong leadership positions.
• Experience in software development and working with global and remote agile squads.
• Proficiency with analytic software programming ideally in python, C++, or SCALA.
• Familiarity with the storage, manipulation, and management of relational, non-relational and streaming data structures.
• Understanding of parallel computing.
• Experience working on Large Language Models (LLMs), AWS, Azure, or Google cloud infrastructure.
• Nice To Have.
• Build generative AI tool.
• Full stack development: GraphQL, React, JavaScript, TypeScript.
• DevOps: Docker, Kubernetes, CI/CD, Terraform.
• Data: SQL, Spark, Hadoop.
• Data Science and machine learning (Pandas, Scikit learn).
• Additional info.
• Ability to travel based on client and business needs.
• We are hiring across all experience levels.
• Fluency in Thai is preferred; strong English communication skills are also required.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

Skills:

DevOps, Project Management, Python

Job type:

Full-time

• Comfortable in a client-facing role with the ambition to lead teams.
• Likes to distill complex results or processes into simple, clear visualizations.
• Explain sophisticated data science concepts in an understandable manner.
• Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience).
• Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data.
• Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients.
• Have strong project management skills.
• What You'll Bring.
• 10+ years of data science experience; prior professional services or consulting experience is a plus.
• Comfortable in a client-facing role, manage engagements, client relationships, provide thought leadership to teams.
• Strong skills in distilling complex analyses into clear, impactful visualizations and explaining advanced data science concepts in an accessible way.
• Enthusiasm for building technical solutions, with hands-on experience using modern development tools and writing code collaboratively.
• Extensive experience applying advanced analytics across various business scenarios, with a demonstrated ability to synthesize complex data into actionable insights.
• Deep understanding of modern machine learning techniques and their mathematical foundations, with the ability to translate these into business impact for clients.
• Proficiency in Python; additional programming languages are a plus.
• Have strong project management skills and can act as interface between business & tech for our clients.
• Outstanding interpersonal and communication skills, with the ability to collaborate in a global team environment and engage with both internal and external stakeholders.
• Additional info.
• We are hiring for this role at both Lead and Principal levels.
• Candidates will be assessed holistically based on relevant experience and key role attributes.
• Ability to travel based on client and business needs.
• Fluency in Thai is preferred; strong English communication skills are also required.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

Experience:

6 years required

Skills:

Python, Java

Job type:

Full-time

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in deployment planning, orchestration, or change management.
• Experience in programming languages, debugging, or systems design.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience promoting technical solutions in one or more of the following areas: infrastructure modernization, application modernization, data management, data analytics, AI, networking, migrations or security.
• Experience with object-oriented programming languages (i.e. Python, Java), and using technical proficiencies to remove blockers and accelerate customer deployment.
• Experience working with product and capacity teams to resolve technical and capacity blockers.
• Experience with Google Cloud products and differentiation from competition.
• Experience in developing and deploying solutions in a fluid, digital-native environment.
• The Google Cloud Platform (GCP) team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security and reliability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes using technology to connect with customers, employees and partners.
• As a Google Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will partner with a cross-functional team at Google, to drive initial and ongoing business growth for our customers, providing technical advisory, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Develop and orchestrate a structured, deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
• Employ coding, debugging, or systems design to resolve technical blockers and accelerate deployment.
• Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible. Maintain awareness of progress against the delivery plan, providing support to customers or partners during ramp, delivery, migration, or implementation phases.
• Identify expansion opportunities for new workloads within the account during project execution.
• Drive the product usage to help customers realize value on an ongoing basis and secure future agreement renewals.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Skills:

Automation, Python, Project Management

Job type:

Full-time

• Ability to thrive at the pace and scale of Amazon.
• Ability to work independently and manage multiple competing priorities.
• Ability and willingness to collaborate with peers around the globe, which may involve some participation in meetings at odd hours.
• Ability and willingness to travel domestically or globally as and when needed.
• Controls Deployment & Service (CDS) Engineers deliver and support data center building automation systems, such as Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS). CDS Engineers work to deploy and service building automation systems, to ensure the health of our data centers. As a CDS Engineer, you may oversee deployment of a new BMS or EPMS as part of a new data center build, deliver projects to upgrade an existing data center owned or leased by Amazon, or deliver projects to upgrade colocated data centers with Amazon hardware. As a CDS Engineer, you may also be required to provide local servicing expertise to our fleet or data centers in your region, and occasionally assist with global support. Successfully working as a CDS Engineer will also require you to partner effectively with the many teams at Amazon that make our data center deployments and operations a success, including Construction, Commissioning, Critical Projects, Data Center Operations, Procurement, Program Management, Design, and Engineering teams, as well as maintaining strong relationships with our vendors.
• Key job responsibilitiesDeployment of data center controls, on time, with effective management of vendors to ensure minimal defects at the point of Power and Facilities Hand-Off (PFHO).
• Delivery of critical projects to upgrade data center automation.
• Service and support provided to partner teams, providing diagnosis and resolution of Loss of Visibility (LOV), Loss of Resilience (LOR), Large Scale Event (LSE), Critical Scale Event (CSE), and other operations impacting events.
• Resolution of tasks within predefined Service Level Agreements (SLAs).
• Delivery of further initiatives to improve the efficiency of our data centers or our operations procedures.
• A day in the lifeJoin the cloud leader: AWS has the most proven operational and security expertise, and the business is innovating at a faster clip especially in new areas such as Machine Learning and Artificial Intelligence, the Internet of Things, Serverless Computing, and custom-designed processors and chips.
• Be at the nexus of action: Your involvement in data center delivery will be mission-critical to the successful deployment of our data centers. You won t just be observing from the sidelines; you ll be representing Amazon, building relationships across a wide variety of internal and external stakeholders.
• Build at scale: Build and operate infrastructure at an enormous scale, participating in Amazon s global presence.
• Your unique background will be an asset: At Amazon, our ability to innovate on behalf of our global customers and communities is dependent upon the skills, perspectives, and knowledge of people from all backgrounds.
• Continuous growth and learning: You may not be an expert in AWS when you join our company, but you will have support to become one. Benefit from direct access to industry-leading specialists, latest training materials, and courses to propel your career.
• About AWS
• Diverse Experiences
• AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
• Why AWS?
• Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Inclusive Team Culture
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship & Career Growth
• We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud.
• BASIC QUALIFICATIONS.
• Control systems experience including building unified complex automated control systems (100 or more integration points in a Building Management Systems (BMS), Electrical Power Monitoring Systems (EPMS), or other complex automated control systems), working with hardware, software, or networking products from multiple vendors.
• Programming experience including Programmable Logic Controller (PLC), Supervisory Control And Data Acquisition (SCADA), Codesys, Python, or other scripted programming languages.
• Engineering documentation experience including electrical diagrams, control diagrams, control networks schematics, control panel Bill of Materials (BOM), or control panel schematics.
• PREFERRED QUALIFICATIONS.
• Project management experience including scoping, scheduling, cost management, vendor/sub-contractor management.
• Critical environments experience in any of the following: data centers, defense, hospitals, oil and gas, pharmaceutical, power plants, research laboratories, or.
• Controls construction or service experience.
• Electrical or mechanical controls experience.
• B.S. in Electrical or Mechanical Engineering, or related discipline.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.

Skills:

Big Data, Python, Docker

Job type:

Full-time

• Lead a team of highly skilled Software Engineers..
• Develop tools and applications by producing clean and efficient code..
• Set and maintain high standards of coding best practice..
• Ensure the quality and performance of the team's work through code reviews and testing.
• Translate end user needs to requirements using a lightweight agile design led methodology..
• Lead design work and planning for user stories..
• Sets and executes on the delivery of given tasks, delegating to the team where applicable..
• Builds trusting relationships with team and colleagues, collaborating closely with team.
• Communicates with clarity and precision in a concise format..
• Working both independently and collaboratively within a team in an agile fashion..
• Analysis, design and implementation of complex software solutions using customer focused design driven methodologies, delivered via public cloud..
• Building domain expertise in Financial market content and LSEG systems..
• Networking in the FinTech, big data and academic community through conferences, meetups and workshops - bringing cutting edge techniques and technology into business strategy..
• 5 years+ experience as a Software Developer or equivalent..
• Diploma / Degree in Software Engineering / Computer Science / or equivalent experience..
• Strong skills and experience developing applications in NodeJS, Python or other relevant languages..
• Strong skills and experience with web servers, databases and cloud-based services, preferably AWS..
• Strong skills and experience developing and deploying containerised environments (e.g. Docker, Kubernetes)..
• Strong skills and experience with CI/CD pipelines utilising infrastructure as code (e.g. Terraform, Cloud Formation, Ansible)..
• Experience developing and deploying micro services architectures..
• Experience with administration of Linux operating systems and are comfortable with the CLI.
• Experience with front-end development frameworks (ReactJS, Vue, Angluar, etc.).
• Critical thinking, value judgment and common sense over process..
• Able to work independently as well as in a team..
• Positive attitude to learning new skills and technologies..
• Manager
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
• LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
• Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
• Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
• We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
• You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject.
• If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Skills:

Java, Python, Compliance

Job type:

Full-time

• Experience as an application architect or senior engineering role within distributed systems.
• Strong understanding of application design, API design, and data modelling..
• Solid experience with Java and/or Python in production environments.
• Practical experience designing and operating AWS based applications in a cloud native environment.
• Working knowledge of containerised architectures, messaging patterns, and distributed data stores.
• Understanding of Infrastructure as Code concepts and modern CI/CD practices.
• Sound understanding of security, authentication, and authorisation concepts.
• Strong communication skills, with the ability to explain technical concepts clearly to both technical and non technical audiences.
• Ability to influence technical decisions and collaborate effectively across teams and cultures.
• Experience in designing solutions with good observability practices embedded.
• Understanding of performance, scalability, and resilience engineering.
• Deeper exposure to event driven architectures and asynchronous messaging at scale.
• Experience optimising performance, resilience, and cost in production cloud environments.
• Familiarity with modern front end architectures and integration patterns.
• Experience working in financial services, risk, compliance, or other regulated environments is desirable but not essential.
• The Person.
• A pragmatic and technically strong architectural thinker who collaborates effectively with both technical and business stakeholders. Comfortable navigating complex, fast moving environments, they influence through expertise rather than authority. You are curious, proactive, and focused on delivering high quality, sustainable systems.
• Manager
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
• LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
• Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
• Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
• We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
• You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject.
• If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Experience:

3 years required

Skills:

Power BI, Python, SQL, English

Job type:

Full-time

• Build propensity model to select leads at partner s site.
• Track portfolio performance and work with marketing team to find innovative ways to improve portfolio performance.
• Document processes, code, and model decisions for transparency and reproducibility.
• Build and maintain reports / dashboards (Power BI and Power Pivot).
• Bachelor s or Master s degree in computer science, Engineering, or related field.
• 1-3 years of hands-on experience in data analyst / data science.
• Strong proficiency in Python and SQL for data manipulation and propensity model development.
• Proficiency in Power BI.
• Excellent problem-solving and communication skills.
• Good command in English.

Experience:

5 years required

Skills:

Power BI, SQL, Analytical Thinking

Job type:

Full-time

• Integrity: Be honest and ethical | Do what is right.
• Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
• Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
• Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
• Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
• Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
• Design and implement scalable logical and physical data models following enterprise standards.
• Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
• Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
• Analyze business data requirements and translate them into technical specifications and solutions.
• Maintain clear documentation for data pipelines, processes, and workflows.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, IT, or related fields.
• 0-5 years of experience as a Data Engineer or related roles.
• Strong SQL skills and experience with data modeling (e.g., star schema).
• Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
• Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
• Excellent written and verbal communication skills and ability to work collaboratively in team environments.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).
• Snowflake certifications (SnowPro Core, SnowPro Advanced - Data Engineer).
• DBT certifications (Analytics Engineering, DBT Architect).
• Azure certifications (AZ 900, DP 900).
• Experience with data warehouse technologies (e.g., Snowflake, HANA).
• Experience with programming languages for data manipulation (e.g., Python).
• Experience with version control and CI/CD (e.g., Git, GitHub, GitHub Workflows).
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience or knowledge of Agile methodologies.
• Experience with Qlik Replicate, NiFi, Fivetran).
• Experience with programming skills in languages such as Python, or Java.
• English language (TOEIC, TOEFL, IELTS) - Scores issued within the last 2 years are valid for upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( สด.8 หรือ สด. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
• For more information about business solicitation and recruiting scams, please click here.
• We thank you for your interest in ExxonMobil. .
• Stay connected with us.
• Learn more at our website.
• Follow us onLinkedIn and X.
• Like us on Facebook.
• Subscribe our channel at YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Skills:

Salesforce, Javascript, Java

Job type:

Full-time

• Drive Tangible Outcomes through Hands-On Implementation: Be responsible for the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding and reviewing the work of junior team members to ensure successful deployment and measurable business impact.
• Build Transformative AI Solutions: Take primary ownership of designing, developing, and personally implementing high-quality, scalable production systems. A significant ...
• Engineer Bespoke Agentic AI Solutions: Work directly with customers to design and build custom intelligent agents using the Agentforce platform, ensuring they precisely meet unique business requirements and integrate seamlessly with existing customer ecosystems.
• Data Configuration & Integration: Own the entire data lifecycle, from strategic design of data models to hands-on building of efficient processing pipelines and establishing seamless integration strategies. You'll ensure data is always ready, optimized, and secure for our advanced AI applications, often navigating complex enterprise data environments.
• Proactively Remove Technical Blockers: Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery, from intricate data integration to sophisticated model deployment and advanced agent orchestration. You'll be the ultimate go-to expert for unblocking progress.
• Drive Agentforce Innovation: Become a foremost expert in our innovative Agentforce platform, pushing its capabilities to the limit. You'll lead the development of bespoke intelligent agents, automate intricate business processes, and craft intuitive user experiences. Your insights from the field will directly influence future product enhancements and help shape the strategic direction of our platform, often representing the voice of the customer in product discussions.
• Become a Trusted Strategic Partner: Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals. You'll translate these nuanced needs into clear, actionable technical requirements and solution designs, building strong relationships as their primary technical advisor and leading technical discussions.
• Conduct Deep-Dive Technical Debugging and Root Cause Analysis: Perform detailed analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviors to optimize performance, ensure reliability, and prevent recurrence of issues.
• Lead Rapid Prototyping and Iteration: Quickly develop proofs-of-concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement, setting the pace for rapid delivery.
• Implement and Enforce Best Practices: Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions, serving as a technical role model..
• Experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions in a professional environment.
• Computer Science or a related engineering discipline.
• Expert-level proficiency in (JavaScript, Java, Python, Apex).
• Extensive hands-on experience building and deploying solutions with AI/LLM technologies, including integrating LLMs, applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and experience with agentic frameworks.
• Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery).
• Direct experience with the Salesforce platform, including advanced configuration, customization, and complex development.
• A "get-things-done" attitude, and a focus on fast, impactful delivery, with a proven ability to lead technical initiatives.
• Exceptional collaboration, communication, and presentation skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• Proven ability to lead technical engagements, mentor junior team members, and oversee technical aspects of projects.
• Ability to travel up to 60% of the time, as needed to customer sites.
• Preferred Qualifications.
• Extensive experience with Salesforce Data Cloud and/or Agentforce platform.
• Experience developing and deploying conversational AI solutions within highly regulated industries.
• Expert-level experience with Apex and/or Python coding languages in a professional setting.
• Experience in a customer-facing, hands-on technical lead or architect role.
• Advanced Salesforce platform certifications (e.g., Platform Developer II, Application Architect, System Architect).
• Deep knowledge across Salesforce CRM (Service, Sales, and Marketing Clouds).
• Extensive experience with Salesforce Flows and Lightning Web Components (LWC), including complex custom development.
• Experience contributing to open-source AI frameworks or libraries.
• Unleash Your Potential.
• When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world.
• Accommodations.
• If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
• Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
• Posting Statement.
• Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Skills:

Statistics, Excel, Data Analysis, English

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• Please review our Hiring Process Guidelines before your interview click hereto learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Excel, Data Analysis, SAS, English

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• Please review our Hiring Process Guidelines before your interview click hereto learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.