Director Azure Segment Go Market Us Healthcare jobs at Microsoft in Taiwan, Taoyuan City

The candidate will leverage external and internal data to identify talent pools, assess market feasibility, and uncover competitive trends. You will design and implement sourcing strategies that go beyond traditional methods—using intelligence to anticipate and track talent movement, research competitors and industry trends, and optimize our location strategies.

Required/minimum qualifications

• Bachelor's Degree AND 6+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR equivalent experience.
• 4+ years of talent and market intelligence experience

Additional or preferred qualifications

• Bachelor's Degree AND 12+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR Master's Degree AND 8+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR equivalent experience.
• 4+ years of market research to map and track talent, key competitors, and industry trends.
• 4+ years of documenting and delivering actionable insights of market research to formulate a differential sourcing strategy.

• Bachelor's Degree in Computer Science or Information Technology.
• Technical experience in network design, development, and automation.
• Proven experience in TCP/IP BGP, MPLS.
• Experience working with Python/Go/Rust.

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.

Preferred Qualifications:

• Technical experience in network design, development, and automation
  • or related field.
  • OR Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND technical experience in network design, development, and automation
  • OR Doctorate Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field.
• Network engineering experience in a cloud provider, internet service provider, or large enterprise environment.
• Professional software development experience in the networking domain, including proficiency in C#, Python, Go, REST, YAML, and workflow systems.

• Offers modification and improvements to network technologies based on existing and emerging industry knowledge to contribute to the design, implementation, and operation of reliable, scalable, and high-performance networks.
• Works in collaboration with teams across a single organization to develop reliable, scalable, and high-performance, network designs; independently produces design documents and implementation plans.
• Partners with Engineering and Program Management teams to understand customer, business, and technical requirements to propose network designs or modifications to architecture;participatesin architecture reviews to ensure designs and modifications meet all functional, performance, scale, and compliance requirements.
• Influencestelemetry analytics designs to betteridentifypatterns that reveal errors and unexpected problems;leveragesan understanding of network architectures and infrastructure at scale to develop, measure, track, and improve the quality of telemetry pipelines that support automated monitoring and incident response.
• Develops process or technology solutionsthat proactivelyresolve issues with processes, physical network devices, and/or tooling.
• Makes optimaluse of infrastructure and resources through simple designs and byleveraging

Required Qualifications:

• 10+ years relevant work experience (e.g., investment banking, consulting, finance, marketing, corporate strategy, sales, venture capital, legal, business development, product management, project management, software development, or related field)
  • OR equivalent experience.
• Experience in structuring and negotiating complex strategic alliances or acquisitions

Preferred Qualifications:

• Bachelor's Degree in Business, Liberal Arts, Sciences, or related field AND 12+ years relevant work experience (e.g., investment banking, consulting, finance, marketing, corporate strategy, sales, venture capital, legal, business development, product management, project management, software development, or related field)
  • OR Master's/Advanced Degree in Business, Sciences, or related field AND 10+ years relevant work experience (e.g., investment banking, consulting, finance, marketing, corporate strategy, sales, venture capital, legal, business development, product management, project management, software development, or related field)
  • OR equivalent experience.
• 8+ years experience in the technology industry OR in a technical role (e.g., IT, Engineering).
• Industry experience in driving Shopping or Payments Partnerships

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 28, 2025.

Partner & Customer Focus

• Leverages internal and external network to develop new strategic relationships. Develops relationships as a trusted advisor with key stakeholders. Works cross-functionally on internal strategy and works with v-teams to deliver alignment on objectives and outcomes.
• Articulates the value of Microsoft solutions, leveraging knowledge of customer and partner business priorities and/or drivers to influence decision making. Looks across opportunities to identify and address broad issues and trends.

Market Signal

• Develops processes and channels for information gathering and reporting, including synthesizing key insights and trends gathered from engagements for executive consumption.

Partnership Strategy

• Formulates partnership strategy for Shopping & Payments growth priorities with input from relevant stakeholders and creates business value propositions based on partner and company needs.
• Builds and utilizes internal & external network with a diverse set of stakeholders to identify and validate unique opportunities across business areas. Provides input into recommendations on partners.
• Positions the Microsoft value proposition versus competitors and works with stakeholders to influence the build/buy/partner decision to meet customer needs, leveraging knowledge of Microsoft and customer issues in conjunction with product/industry teams to establish a foundation for future opportunities in competitive situations through collaboration.
• Provides insight on industry and/or competitive trends and drives action based on insights.
• Drives deals to increase growth and achieve desired outcomes, anticipating potential issues. Encourages customers and partners to apply and amend a value proposition in order to create a partnership. Influences internal stakeholders and partners and promotes the value of opportunities.

Negotiation

• Represents Microsoft in key customer and partner interactions, and defines the deal structure for scalable and durable solutions to complex business opportunities.
• Leverages deep understanding of risks, rewards, and negotiation skills to manage broad engagements across all business functions.
• Provides breakthrough ideas and collaborates to close strategic or high-impact opportunities in order to scale the business (e.g., cross-company, cross-product deals).
• Provides coaching and support to less experienced colleagues as a go-to resource for negotiation.

Deal Management/Governance

• Develops plans for managing deals, including communications, and reporting with Microsoft stakeholders. Resolves blocking issues using known techniques.
• Collaborates with customers, partners, and Microsoft colleagues to develop post-deal governance and ensure design, communication, and alignment in creation and implementation of execution plans across a portfolio of deals within a particular domain.
• Ensures customers and partners are prepared for implementation.
• Captures and shares learnings to improve future pipeline and business value communication.

• Embodies our

We are the key Azure Artificial Intelligence (AI) Services-Azure AI Speech Services—dedicated to seamlessly integrating Speech AI into everyday experiences. Wewith an urgency of responsibility and ethics, a customer-first mindset, and a drive to advance Microsoft’s AI platform and business.

Our work spanstechnologies including speech recognition, speech and video translation, text-to-speech (TTS), TTS avatars. These capabilities power a wide range of Microsoft and partner products—from agentic applications and software as a service (SaaS) solutions like Office, Teams, and Dynamics, to Azure-connected devices, internet of things (IoT), and ambient computing.

hiring aProduct Manager todrive the product manageour innovative speech product in the Indian market.

.You will have a major career opportunity to take a large, at-scale platform and deliver it to millions ofcustomers.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our sharedgoals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

our culture every day.

Required Qualifications:

• A minimum of aBachelorsdegree in Computer Science, or a related field, or equivalent alternative education, skills, and/or practical IT work experience isrequired.

• 5+ years of working experience on AI product management

Preferred Qualifications:

• Ability todemonstrate

• Great communication

• Ability to work and build strong relationships with senior managers, leaders,partnersand customers

• The aptitude to engage a wide range of internal and external stakeholders; from end users to senior management/executives

• Display skills in planning and project management

• Demonstrated ability in discerning and addressing relevant challenges to delivery

• Must be able to work independently, handle multiple projects in a fast-paced environment, and negotiate and collaborate effectively

• customerand market trends

• Define and drive product vision and strategy across a full stack of collaborators—from customers to engineers and researchers.

• Own the product strategy for LLM modelfine tuning and supporting multilingual speech LLM inalignment with customer and business needs

• Engage with Indian customers by working closely with the field team to gather insights, address customer needs, and ensure our product offerings align with market demands

• Partner closely with engineering to prioritize the roadmap, deliver high-impact features, and solve complex problems with clarity and creativity.

• Champion product quality and AI excellence, ensuring our services are responsible, reliable, and delightful to use.

• Keep stakeholders aligned and informed, fostering confidence and clarity across internal teams and leadership.

• Embody ourand.

Required Qualifications (RQs)

• Experience in technical architect, technical consulting, design and implementation, and/or technical sales
  • OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND experience in technical architect, technical consulting, design and implementation, and/or technical sales
  • OR Relevant certifications from Microsoft or competitive platforms AND experience in technical architect, technical consulting, design and implementation, and/or technical sales
  • OR equivalent experience
• Proactive sales or presales experience selling cloud-native, AI, or data solutions, with a strong track record of generating pipeline through direct customer outreach and phone engagement.
• Experience in one or more of the following: designing architecture, networking, container services, data center migrations or database administration, design and architect experience in data analytics, coding/development, cloud-based solution designs (e.g., Azure, AWS, or GCP), migrations or management of technology.

Preferred Qualifications (RQs)

• Relevant certifications from Microsoft of competitive platforms of similar product (e.g., AZ104 + AZ 303/304/ or 305, DP 203/204) OR equivalent certifications (AWS, GCP).

The Digital Cloud Solution Architect will be responsible for:

• Business Relationship Owner: Build coalition of support (IT and business) with customers. Define specific technology outcomes that align to customer strategy.
• Portfolio Management: Manage a dedicated portfolio of customers while preventing churn. Increase incremental Azure Consumed Revenue through the generation of new opportunities that result in additional revenue.
• Operationally Excellent: Follow processes, systems, and documentation as expected; identifies issues or barriers to efficiency. Recommends improvements and partners to implement Azure solutions.
• Consumption: Conduct analyses into what customers are using versus needs. Drives greater consumption (cloud and support) with customers based on analysis of both usage and needs. Leverages insights to provide guidance and recommendations to customers; drives, retains, and optimizes customer consumption
• Technical Acumen: Apply technical knowledge and customer insights to create a modernization roadmap. Architect solutions to meet business and IT needs, ensuring resources and infusing key Infrastructure technical viability of new projects and successful deployments, while orchestrating key technologies
• Executive Presence: Engage with and influence business and IT decision makers by providing feedback or insights to help customers define and realize their digital and business transformational targets. Influences others to help meet customer needs and prioritize efforts accordingly. Recognizes systemic issues to resolve.
• Technical Leadership: Leverage best practices to guide customer strategy and future growth for Microsoft by cultivating customer affinity with Microsoft programs/solutions that drive impact for the customer and establishing Microsoft as a leader. Provide feedback to Microsoft on customer development needs, customer blockers, or mitigation strategies.

You will be responsible for the design, development, and execution of an exciting research agenda in collaboration with other machine learning, engineers, clinicians, social scientists, and designers at Health Futures. To learn more about this opportunity, please visit:

Qualifications

• PhD in Machine Learning, Computer Science or related fields or equivalent experience.

Required

• Relevant years of experience working on a multidisciplinary team working on AI research for real world impact.
  
• Hands-on experience with large scale deep learning models and libraries (e.g., PyTorch, TensorFlow).
  
• Strong software development skills.

Preferred

• Publications at top conferences and journals such as: NeurIPS, ICML, ICLR, MICCAI, Nature, CVPR, ICCV, EMNLP, ACL.
  
• Experience with medical domains such as radiology, digital pathology, genetics, immunology.
  
• Machine learning expertise in multi-modal learning, large language models (e.g., alignment), reinforcement learning and/or domain adaptation and data-efficient learning.

The ideal candidate will have a strong intellectual curiosity and passion to solve real-world problems in healthcare and multi-modal AI The responsibilities will include:

• Advance multi-modal medical AI, empowering internal and external partners to build and deploy state of the art medical imaging AI to make clinical work-flows faster and safer and improve patient outcomes.
• Collaborate on design, implementation and evaluation of multi-modal machine learning solutions which consider key clinical factors and responsible AI.
• Support the strategic planning of the team by providing engineering and research leadership.
• Engage with external and internal collaborators to drive real world impact.

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 5+ years people-management experience.
• Experiencehandling large data sets to reveal patterns, trends, and associations, from behavioral and interaction data to uncover important factors that can influence outcomes.
• Experience with one or more AI/ML algorithms and frameworks and their application to solve various business problems. Examples include causal inference, resampling techniques, mixed effects models, clustering, classification, significance tests, time-series modeling/forecasting, etc.

Additional or Preferred Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 7+ years people-management experience.

• Experience with Large Language Models (LLMs), prompt engineering, and Azure AI Application Programming Interfaces (APIs)
• Experience with Machine Learning Operations (MLOps) practices: containerization, infrastructure-as-code, monitoring
• Experience with multi-agent frameworks like AutoGen, Semantic Kernel, and Langchain
• Experience in debugging, security, and data protection principles

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 25, 2025.

• Demonstrate a commitment to Microsoft’s data security and privacy standards as the top priority in all analytics, reports, and solutions we develop.
• Lead large, complex projects to deliver accurate, accessible, secure and repeatable data products aligned to business and organizational needs and priorities that enhance our ability to inform marketing efforts, increase effectiveness of our approaches and deliver measurable outcomes.
• Demonstrate leadership in business and data landscape, visualizations, experimentation, and analysis to effectively communicate and support data driven decision making.
• Foster a team that embraces and lives Microsoft’s Culture and Values.
• Design and implement repeatable and scalable statistical and Machine Learning (ML) based frameworks to identify changes in behavior, business performance and other outcomes to help us make predictions and recommendations, set forecasts, identify anomalous activities, and understand outcome trajectory.
• Partner with Data Services on technical requirements to ensure adherence to security and compliance guidelines and enable data availability, data quality and integrity for data science, analytics and wider business self-service usage.
• Establish processes for the development of experimental methodologies, statistics, optimization, and probability theory for general purpose software and statistical packages. Leverages results from modeling and analyses to influence business and/or product strategy and leadership across teams.
• Deliver success through empowerment and accountability by modeling, coaching, and caring. Model: Live our culture. Embody our values. Practice our leadership principles. Coach: Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn. Care: Attract and retain great people. Know each individual’s capabilities and aspirations. Invest in the growth of others.
• Embody our and