Solution Area Leader Security jobs at Microsoft in Taiwan, Taoyuan City

As a Channel Disti Leader, you are at the leading front of partner performance in your area! You will bring your tenacious work ethic, your enthusiasm, optimism, and your passion to foster profound growth and change within our channel partner ecosystem. You will leverage your challenger mindset, deep technology industry knowledge, market insights, expert understanding of the competitive landscape, executive presence and best in class interpersonal abilities to grow our robust ecosystem of world class channel partners.

You will deliver the Disti Partner sales strategy and will sponsor executive connections, drive business performance, and maximize partner investments in your area. You will institute a predictable rhythm with partners and key stakeholders to drive sales execution. This opportunity will allow you to accelerate your career growth as you work deeply with highly complex partner organizations building strong relationships in the C-Suite.

• Demonstrated experience in Disti management, sales, business development, or partner channel development in the technology industry or related experience
• Experience supporting the overall strategy and execution of partner performance and sales results for the sales unit, with accountability for FRA, forecast integrity, and translating quantitative and qualitative insights into strategic priorities and plans.
• Leverage market insights and intelligence to continuously assess customer TAM opportunity, competitive dynamics, and risks, and to design targeted proposals to address emerging opportunities and challenges.
• Demonstrate strength engaging senior leaders in the partners’ organization to influence business outcomes, drive alignment on strategy, joint commitments, and priorities as captured in the partner business plan, ensuring mutual accountability for Metrics that Matter, KPIs, and growth execution.
• Proven capability supporting high performing sales teams, implementing a collaborative operating model with Regional OU leaders and their teams, fostering transparent, high-bandwidth engagement to maximize opportunities and insights and role modeling One Microsoft behaviors across the region.

• Accountable for the overall strategy and execution of the Disti performance and sales results for operating unit.
• Deliver sales unit FRA including forecast integrity throughout the FY; evaluate quantitative and qualitative metrics and translate those metrics/results into strategic priorities and plans.
• Continuously assess customer TAM opportunity, competitive dynamics, market insights and intelligence in the design of proposals to address opportunities, challenges and risks.
• Engage CxO leaders as well as partner country managers across the partner ecosystem to drive alignment on strategy, joint commitments and priorities (as documented in the Partner Business Plan) and overall rhythm of the business to ensure mutual commitment and delivery on the Metrics that Matter, KPIs and execution of priorities that deliver growth.
• Execute the Disti plan in the operating unit with consistency; align to overall Top CSP strategy and guidance. Execute the Top SSP plan for the globally and locally managed partners in the operating unit.
• Build a consistent strategy, execution and co-sell plan for all local partners, leveraging the Metrics that Matter, sharing best practices with peers in other sales units. Build a predictable engagement model with in-region partners based on alignment on the PBP, KPIs and strategic priorities, and shared business outcomes.
• Implement a collaborative operating model with the Regional OU leaders and their teams as well as shared services (Tech Team, Partner Marketing Manager, Partner Solution Sales). Create a transparent engagement model between the organizations to ensure the business is maximizing opportunity and insights across the region to deliver optimal results and role model One Microsoft behavior.

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).

• 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.

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

• 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.

a PrincipalDigital Cloud Solution Architect (DCSA)or government systems. You will serve as thecentral point

Required/Minimum Qualifications

• yearsexperiencein technical architect, technical consulting, design and implementation, and/or technical sales

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+years experiencein technical architect, technical consulting, design and implementation, and/or technical sales

• OR Relevant certifications from Microsoft or competitive platforms AND 5+years experiencein technical architect, technical consulting, design and implementation, and/or technical sales

• OR equivalent experience.

• 5+ years of experience with cloud solution sales
• Fluency in English, both written and verbal, required to effectively communicate across global teams and produce high-quality documentations
  

or Preferred Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 12+years experiencein technical architect, consulting, design and implementation, and/or sales

• OR equivalent experience.

• yearsexperiencewith cloud-based solution designs,migrationsand management of technology.
• Multilingual proficiency - particularly in languages relevant to the role’s geographic scope or customer base
  

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

offers for these roles on an ongoing basis.

• You will lead, drive, and manage engagements for repeatable achievement of revenue and consumption targets.

• leveragepractices to guide customer strategy and future growth to expand the use of Azure by cultivating customer affinity with Microsoft programs/solutions that drive impact for the customer andestablishing

• retains, and/oroptimizesthe customer’s Azure consumption.

• You will run Architectural Design Session(s) to build plans for implementing solutions which align to customer business goals and technical environments.

• You will collaborate and orchestrate with other Digital Cloud Solution Architects and the Microsoft ecosystem to ensure properly deployed cloud solutions on Azure.

• identifyperformance plans in weekly deal and pipeline reviews with their manager.

• Other: Embody our

Your focus will be to lead the

• Bachelor’s degree in Computer Science, Engineering or related field or equivalent work experience
• Substantial experience in Change Management and Adoption.
• Deep understanding of Microsoft 365, Azure AI, and Copilot technologies.
• Strong communication and stakeholder management skills, with the ability to influence at all levels.
• Passion for innovation, customer success and continuous learning.
• Fluent in English; Dutch or French is a plus.

Some of your responsibilities include:

• Be a trusted advisor and drive business value through AI Transformation : Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
• Lead Adoption Strategy : Design and execute tailored adoption and change management plans that align with customer business objectives and Microsoft’s AI vision.
• Drive Organizational Change : Guide customers through the cultural and operational shifts required to embed Copilot into daily workflows.
• Champion Business Value : Translate technical capabilities into measurable business outcomes, using ROI models, usage analytics and success metrics.
• Enable Stakeholders : Engage executive sponsors, change agents and champions to build momentum and sustain adoption across departments.
• Deliver Readiness & Training : Facilitate workshops, onboarding sessions, and enablement programs to upskill users and ensure Copilot readiness.
• Collaborate Across Teams : Partner with sales, engineering, and partners to ensure seamless delivery and customer success.
• Contribute to IP & Scale : Help build reusable assets, playbooks, and best practices to scale adoption efforts across regions.
• Embrace a growth mindset: Act as the voice of the customer by proactively sharing insights, feedback and success stories to inform internal strategy and execution.
• Learn-it-all:

Required Qualifications

• Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR 7+ years technical pre-sales or technical consulting experience OR equivalent experience.

Preferred Qualifications

• 10+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience.
• 8+ 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 (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).

Solution Design and Proof

Adapts and extends architecture patterns to accommodate complex customer requirements and drive integration solutions for industry flavor. Delivers assets that can be leveraged by others in the business.

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.

• 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.