דרושים Senior Field Marketing Program Manager ב-אמזון ב-Thailand, Bangkok, Bangkok

This role will challenge both your creative and analytical skills. You will build relationships with business stakeholders within AWS and with AWS distribution partners, become a subject matter expert in the distribution channel segment and drive both new partners and new sales campaigns in support of AWS Channel Partners.
Key job responsibilities
• Support the execution of the technology services distribution programs in Thailand and in other ASEAN countries
• Develop structured processes around onboarding, enabling and supporting distribution partners for business and operations
• Work across regional sales and partner teams to nurture a cohort of strategic distribution partners that add significant value to AWS Channel Partners
• Serve as a key member of the AWS distribution team in helping to define and deliver the overall go-to-market strategy
• Own reporting of the distribution business and participate in regular business reviews with leadership and stakeholders
• Utilize salesforce.com and other internal Amazon systems to track key performance metrics
• Willingness to travel 20% and travel mostly in ASEAN.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.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

- At least 5 years of partner/channel business development experience with Distributors/value-added-resellers in the technology industry
- 10+ years of sales, business or partner development providing cross functional and supporting internal and external stakeholders
- 5+years of building teams and development of employees
- Good relationships with Top Distributors in country
- Experience of putting in place Distribution channels and successful execution of business ramp upplans and experience with Cloud channel sales
- - At least 5 years of partner/channel business development experience with Distributors/value-added-resellers in the technology industry
- - 10+ years of sales, business or partner development providing cross functional and supporting internal and external stakeholders
- - 5+years of building teams and development of employees
- - Good relationships with Top Distributors in country
- - Experience of putting in place Distribution channels and successful execution of business ramp upplans and experience with Cloud channel sales

AGS-AIT is looking for a Senior Data Scientist to lead and drive Gen-AI and Science initiatives.Key job responsibilities
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges.
• Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder

- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- 5+ years of hands on experience with Python to build, train, and evaluate models

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience working with data engineers and business intelligence engineers collaboratively

Key job responsibilities
• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs.
• Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance).
• Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer.
• Establish data standardization and governance policies to ensure consistency, accuracy, and compliance.
• Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
• Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools).
• Provide technical guidance and best practice on data architecture that meets both traditional reporting purpose and modern AI Agent requirements.

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

Key job responsibilities
Solution Design - Define and deliver on-site technical engagements with partners and customers. Activities include participating in pre-sales, understanding customers’ security, risk, and compliance requirements, and providing advice and deliverables based on AWS services.This is an ASEAN customer facing role. You will be required to travel to client locations to deliver professional services when needed.A day in the life
About the team
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.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

- 10 years' experience in IT security, compliance, or risk management.- BA/BS degree or equivalent experience.- Hands-on technical expertise in technology automation, implementation, integration, and/or deployment.

- Hands-on technical expertise in building and deploying security solutions, capabilities and infrastructure, with strong scripting skills, i.e., PowerShell, Python, Node.js, JavaScript, Bash, Ruby, Perl, etc.- Technical expertise (design and/or implementation) in Cloud Computing technologies and implementation experience with enterprise security solutions such as SSO, Federation, WAF, IPS, Anti-DDOS, and SIEM.- Experience with Infrastructure-as-Code Tools such as CloudFormation, Terraform, Chef, Puppet, Salt, or Ansible in production environments at scale.- Understanding architectural implications of meeting industry standards such as PCI DSS, ISO 27001, GDPR, and NIST frameworks and relevant regulatory frameworks such as Thailand's Personal Data Protection Act B.E. 2562 (2019), BOT Notifications SorNorSor 21/2562, 6/2561, 11/2561, etc.- Language proficiency: English, Thai (Thailand).

Key job responsibilities
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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
Work/Life BalanceMentorship and 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.

- 5+ year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ year of experience in the industry as a ML practitioner
- Ability to think strategically about business, solutions and technical challenges.
- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

The ideal candidate will look like this…Be great fun to work with. Our company credo is “Work hard. Have fun. Make history”. As the right candidate, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge.Have a strong understanding of large scale cloud computing solutions. The ideal candidate will have past experience working as a security systems engineer or security architect. You will enjoy keeping your existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around securing systems and applications in the cloud. You regularly take part in deep-dive education and design exercises along with technical deep dive drive technical discussions to create world class security solutions for AWS.Sales, Marketing and Global Services (SMGS)
Key job responsibilities
Security Compliance experience – must have strong experience and understanding of customer security/compliance requirements.
Speaking and presentation skills – Presentations, white boarding, large and small group speaking.
Technical – broad and deep knowledge of fundamental security principles and technologies, Security services development/deployment experience, and IT systems and network engineering experience.
Operational Security – should have experience in operationalizing both infrastructure and application security controlsExperience in engaging enterprise class environment and complex architecture designs.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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
Work/Life BalanceMentorship and 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.

- The right person will be highly technical and analytical, possess 10+ years of current solutions architecture (implementation/consulting) experience.
- Deep knowledge of Infrastructure Security, Security Compliance and Operations is a must.
- Experience architecting infrastructure solutions using both Linux/Unix and Windows with specific recommendations on server, load balancing, HA/DR, & storage architectures.
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers. AWS specific experience a bonus.
- Strong verbal and written communications skills in both Thai and English are a must

- Experience working within the Enterprise software market or Internet industries is highly desired.
- Enterprise application and database architecture a bonus.
- Technical degree required; Computer Science or Math background highly desired.
- Working knowledge of software development practices and Internet-related technologies highly desired.
- Industry Security certifications highly desired.

Key job responsibilities
Every day will bring new and exciting challenges on the job while you:
- Make recommendations on AI architecture, security, cost optimization, and operational excellence- Complete analysis and present periodic reviews of AI workload performance- Foster an ecosystem where AI and humans progress together through knowledge sharingDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.
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

- Master's degree in Computer Science, Artificial Intelligence, Machine Learning or related technical field
- Deep understanding of Generative AI fundamentals, Large Language Models, and core AI/ML concepts
- Strong theoretical foundation in AI technologies and their underlying principles
- Strong empirical reasoning skills with ability to formulate theories, make predictions, validate and refine solutions

- PhD in Computer Science, Artificial Intelligence, Machine Learning or related field
- Demonstrated ability to build systematic knowledge frameworks across technology stacks
- Experience with implementing enterprise-scale AI/ML solutions
- Experience with AWS core services across Compute, Storage, Database, and Networking
- Knowledge of cloud architecture patterns and distributed systems, cloud security principles and compliance frameworks
- Experience with container technologies and serverless architectures, modern software development practices and DevOps
- Excellence in stakeholder management and technical communication