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Director Product Marketing – Ai Business Solutions jobs at Microsoft in Taiwan, Taoyuan City

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Taiwan
Taoyuan City
1,514 jobs found
16.10.2025
M

Microsoft Cloud AI Solution Engineer Applications - Sydney Taiwan, Taoyuan City

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5+ years technical pre-sales or technical consulting experience AND Bachelor's Degree in Computer Science, Information Technology Additionalor preferred qualifications 4+ years experience with cloud and hybridor on premises infrastructures, architecture...
Description:

Minimum Experience

  • 5+ years technical pre-sales or technical consulting experience AND Bachelor's Degree in Computer Science, Information Technology Additional

    • or preferred qualifications 4+ years experience with cloud and hybrid

    • or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management Certification in relevant technologies or disciplines (Azure Architect and Development exams, Cloud Platform Technologies, Architecture).

Responsibilities
  • Drive technical sales conversations with business and technical decision makers, using demos and proof-of-concepts to shape solution design and accelerate production deployments.
  • Lead hands-on engagements such as hackathons, code-with sessions, and architecture workshops to fast-track adoption of Microsoft developer tools and cloud platforms.
  • Build trusted relationships with developers and platform leaders, co-designing secure, scalable, and innovative architectures.
  • Resolve technical blockers and objections, working closely with engineering teams to provide feedback and influence product improvements.
  • Develop and maintain expertise in AI Foundry and AI application architecture, including Agentic AI frameworks, Semantic Kernel, Foundry SDK, and Responsible AI.
  • Grow skills in cloud-native development, including APIs, containerization, microservices, event-driven systems, and programming in Python, Java, or .NET.
  • Expand knowledge in AI management and security, including GenAI Ops, Sentinel, orchestration, and monitoring.
  • Represent Microsoft as a thought leader in developer communities and customer forums.
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16.10.2025
M

Microsoft Member Technical Staff AI Data Taiwan, Taoyuan City

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Are passionate about the role of data in large-scale AI model training. Will thrive in a highly collaborative, fast-paced environment. Have a high degree of craftsmanship and pay close attention...
Description:
We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:
  • Are passionate about the role of data in large-scale AI model training
  • Will thrive in a highly collaborative, fast-paced environment
  • Have a high degree of craftsmanship and pay close attention to details
  • Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
  • Effectively manage multiple responsibilities and can adjust to shifting priorities.
Responsibilities
  • Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
  • Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.
  • Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.
  • Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.
  • Embody our and .
Required/Minimum Qualifications
  • Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work
  • OR equivalent experience.
  • Expertise in large scale data engineering ideally applied to AI
  • Expertise in Spark, Kubernetes or similar.

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16.10.2025
M

Microsoft Solution Architect Cloud & AI Platform - Apps Taiwan, Taoyuan City

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Bachelor’s degree in computer science, Information Technology, Engineering, or a related field AND 6+ years of experience in cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI). Deep...
Description:

Required/Minimum Qualifications:

  • Bachelor’s degree in computer science, Information Technology, Engineering, or a related field AND 6+ years of experience in cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI).
  • Deep understanding of Cloud Infrastructure, Cloud Native solutions, containerization, and Dev sec ops.
  • Familiarity with at least one development language (e.g., Python, Java, Go, C#, JavaScript, Scala).
  • Problem Solving. Ability to solve customer problems through cloud technologies required
  • 6+ years of experience in customer-facing IT project delivery.

Additional or Preferred Qualifications:

  • Master’s degree in computer science, Information Technology, Engineering, or a related field AND 6+ years of experience in cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI).
  • Proficiency in multiple development languages (e.g., Python, Java, Go, C#, JavaScript, Scala).
  • 8+ years of experience in customer-facing IT project delivery.
  • 8+ years of experience leading technical projects.
  • Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google Cloud, Alibaba Cloud, Tencent Cloud, security certifications).

Essential Skills:

  • OpenAI/AI, Llama, Deepseek, Copilot including Github Copilot and Studio, and Cognitive services
  • Microservices and containerization with Azure Kubernetes Services
  • Advanced Analytics (Azure Synapse, Databricks, visualization tools such as PowerBI, Tableau, QuickBI)
  • NoSQL Databases including OSS (Cassandra, Mongo, HBase, etc.), Cosmos DB
Responsibilities
  • Understand customers’ overall data estate, IT and business priorities and success measures to design implementation AI based architectures and solutions.
  • Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments.
  • Apply technical knowledge to architect solutions that meet business and IT needs, be advisor for customer’s Azure AI Platform strategy, applications modernization through microservices on Azure Kubernetes services, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML, Azure AI Services including AI Search, Azure OpenAI, Copilot including Github Copilot and Studio, Cognitive Services, Spark, Data Lake, Azure Synapse, etc.)
  • Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment.
  • Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers. Deliver according to MS best practices & using repeatable Intellectual Property (IP) and Value Based Delivery (VBD).
  • Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.
  • Collaborate with other Solution Engineers and other Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
  • Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform.
  • Be an Azure Platform evangelist with customers, partners and external communities.
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16.10.2025
M

Microsoft Sr Solution Engineer – AI & Apps Global Black Belt Taiwan, Taoyuan City

16.10.2025
M

Microsoft Executive Business Administrator Taiwan, Taoyuan City

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5+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper-level managementOR equivalent experience. OR equivalent...
Description:

This role requires an experienced professional who thrives in complex environments, canneeds, and consistently delivers with discretion, judgment, and professionalism.

This is more than an administrative role

Required/minimum qualifications
  • 5+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper-level management
    • OR equivalent experience
  • 5+ years experience supporting Director, CVP, and Executive-level leaders within a globally distributed team.
  • 3+ years experience reviewing and managing administrative budgets (e.g., for events, morale, travel, training)
  • Experience collaborating with a highly geo-diverse team across multiple time zones.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Additional or preferred qualifications

  • 10+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper-level management
    • OR equivalent experience
  • 10+ years experience supporting Director, CVP, and Executive-level leaders within a globally distributed team.
  • Bachelor's Degree in relevant field (e.g., Business Administration, Human Resources [HR], Marketing, Communications, Psychology, Sociology)
    • OR equivalent experience
  • 5+ years experience reviewing and managing administrative budgets (e.g., for events, morale, travel, training)
  • 2+ years experience serving as mentor to others

Executive Business Administrator ATR-D - The typical base pay range for this role across the U.S. is USD $30.29 - $50.53 per hour. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $41.83 - $57.88 per hour.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until

Responsibilities
  • Provide high-level administrative support to the CVP, including proactive calendar and schedule management, travel coordination, and executive communications.
  • effectivenessacross time zones, ensuring alignment on critical business priorities and seamless execution of the rhythm of business (ROB).
  • Manage complex headcount, budget, and space planning processes in partnership with finance and business operations teams.
  • Serve as a trusted connector across the organization, reinforcing Microsoft’s culture and values.
  • challenges, remove barriers, and enable the CVP and leadership team to focus on high-impact decisions.
  • Partners with Global Talent Acquisition and hiring managers on recruitment and onboarding. Ensures smooth processes for new hires, interns, and executive onboarding.
  • logistics, and outcomes. Leverages resources to deliver efficient, high-quality experiences.
  • Oversees purchase orders, expenses, and compliance with Microsoft policies. Acts as interim approver when needed.
  • Leads office space management and planning, from desk assignments to large-scale restacks and buildouts, ensuring alignment with organizational needs.
  • Actively contributes to the Business Support community by mentoring peers and sharing best practices.

Embody our

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16.10.2025
M

Microsoft Principal Applied Scientist - Security AI Models Taiwan, Taoyuan City

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Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)OR Master's Degree in Statistics, Econometrics, Computer...
Description:

The Security Models Training team builds and operates the large-scale AI training and adaptation engines that power Microsoft Security products, turning cutting-edge research into dependable, production-ready capabilities. As a, you will lead end-to-end model development for security scenarios, including privacy-aware data curation, continual pretraining, task-focused fine-tuning, reinforcement learning, and rigorous evaluation. You will drive training efficiency on distributed GPU systems, deepen model reasoning and tool-use skills, and embed responsible AI and compliance into every stage of the workflow. The role is hands-on and impact-focused, partnering closely with engineering and product to translate innovations into shipped experiences, designing objective benchmarks and quality gates, and mentoring scientists and engineers to scale results across globally distributed teams. You will combine strong coding and experimentation with a systems mindset to accelerate iteration cycles, improve throughput and reliability, and help shape the next generation of secure, trustworthy AI for our customers.

Required Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • Proven track record training and shipping large language models or multimodal models for production scenarios, including continual pretraining and task specific adaptation.
  • Proficiency in Python and PyTorch, with hands-on experience building and debugging large-scale training jobs.


Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:
- This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Security domain experience in one or more areas: security operations, threat intelligence, malware analysis, vulnerability and posture management, anomaly detection, phishing and fraud detection, or cloud identity and access.
  • Experience with distributed training and scaling techniques, for example DeepSpeed, FSDP, ZeRO, model and pipeline parallelism, mixed precision, and profiling.
  • Experience with privacy preserving ML including differential privacy concepts, privacy risk assessment, and utility measurement on privatized data.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 21, 2025.


Responsibilities
  • Lead the full modeling lifecycle for security scenarios, from data ingestion and curation to training, evaluation, deployment, and monitoring.
  • Architect and optimize large-scale distributed training on GPU clusters, improving throughput, reliability, and cost efficiency.
  • Design and implement privacy-preserving data workflows, including anonymization, templating, synthetic augmentation, and quantitative utility measurement.
  • Develop and maintain fine-tuning and adaptation recipes for transformer models, including parameter-efficient methods and reinforcement learning from human or synthetic feedback.
  • Establish objective benchmarks, metrics, and automated gates for accuracy, robustness, safety, and performance, enabling repeatable model shipping.
  • Collaborate with engineering and product teams to productionize models, harden pipelines, and meet service-level objectives for latency, throughput, and availability.
  • Mentor applied scientists and engineers, promote strong documentation and experiment hygiene, and foster a culture of rapid iteration grounded in responsible AI principles.
  • Contribute to thought leadership by staying current with the latest AI advances and translating promising techniques into practical, measurable impact.
Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
5+ years technical pre-sales or technical consulting experience AND Bachelor's Degree in Computer Science, Information Technology Additionalor preferred qualifications 4+ years experience with cloud and hybridor on premises infrastructures, architecture...
Description:

Minimum Experience

  • 5+ years technical pre-sales or technical consulting experience AND Bachelor's Degree in Computer Science, Information Technology Additional

    • or preferred qualifications 4+ years experience with cloud and hybrid

    • or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management Certification in relevant technologies or disciplines (Azure Architect and Development exams, Cloud Platform Technologies, Architecture).

Responsibilities
  • Drive technical sales conversations with business and technical decision makers, using demos and proof-of-concepts to shape solution design and accelerate production deployments.
  • Lead hands-on engagements such as hackathons, code-with sessions, and architecture workshops to fast-track adoption of Microsoft developer tools and cloud platforms.
  • Build trusted relationships with developers and platform leaders, co-designing secure, scalable, and innovative architectures.
  • Resolve technical blockers and objections, working closely with engineering teams to provide feedback and influence product improvements.
  • Develop and maintain expertise in AI Foundry and AI application architecture, including Agentic AI frameworks, Semantic Kernel, Foundry SDK, and Responsible AI.
  • Grow skills in cloud-native development, including APIs, containerization, microservices, event-driven systems, and programming in Python, Java, or .NET.
  • Expand knowledge in AI management and security, including GenAI Ops, Sentinel, orchestration, and monitoring.
  • Represent Microsoft as a thought leader in developer communities and customer forums.
Show more
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