Communications Director Coreai jobs at Microsoft in Taiwan, Taoyuan City

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

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, C++, Go
  • OR equivalent experience.
• 4+ years of experience managing software engineering teams
• 4+ years of experience with distributed systems, microservices, and container orchestration technologies (e.g., Kubernetes, Docker)
• 4+ years of experience with CI/CD pipelines and developer tooling (e.g., GitHub, Azure DevOps)
• 4+ years of experience building and maintaining infrastructure platforms and product APIs with a focus on usability, extensibility, scale and performance

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/Additional Qualifications

• Experience leading teams building infrastructure platforms, APIs, or orchestration frameworks
• Understanding of cloud-native architecture, asynchronous workflows, and service mesh technologies
• Familiarity with agent-based systems, workflow engines, or declarative programming models
• Ability to drive clarity in ambiguous, early-stage platform development
• Experience collaborating with product and design to shape abstractions and reference implementations
• Mentorship skills and a track record of fostering technical excellence and inclusive team culture
• Experience in AI/ML infrastructure, inferencing systems, or high-scale platform engineering
• Hands-on experience with Microsoft Azure services such as AKS, Azure Functions, and Event Grid, CosmosDb
• Demonstrated experience driving AI usage and adoption in platform or product development, including integrating AI capabilities into services or enabling AI-powered developer experiences

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

• Lead and grow a team of software engineers focused on building scalable, cloud-native inferencing services and orchestration layers.
• Partner with product, research, and platform teams to define requirements and deliver robust, extensible infrastructure platforms and product APIs.
• Drive architectural decisions and technical strategy for inferencing control systems, ensuring high availability, performance, and cost efficiency.
• Guide the team in designing and implementing distributed systems that support dynamic routing, load balancing, and execution of AI workloads.
• Ensure engineering excellence through code reviews, design reviews, and mentoring, fostering a culture of innovation and inclusion.
• Own the operational health of services, including on-call rotations, incident response, and continuous improvement of reliability metrics.
• Collaborate across CoreAI and Microsoft to align on platform integration, security, and compliance requirements.
• Champion developer experience and usability in SDKs and tooling, enabling seamless integration with agentic and generative AI platforms.

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

SME&C is more than a sales organization—

a high level

As aStrategyinwill have theto own and lead a critical initiative named Reach Frequency YieldAs part of this initiative, you will have the opportunityto :

• Shape and executeRFYglobalstrategythatacceleratesSMB growth through our distributor, reseller,Managed Service Provider (MSP), Cloud Solution Providers (CSP), and partner networks.

• lobal Channel Partner Sales (GCPS)and Field Operating Units (OUs)—to drive alignment, innovation, and execution excellence.

• that drive RFY

• RFYdata-driven insights to informinternal stakeholders,

Required/minimum qualifications

• Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 5+ years experience in business consulting, sales, sales operations, information technology (IT), account management, business development, marketing, IT field sales, or a related field
  • OR equivalent experience.
• 6+ years experience in in Near Term Strategy (2 years out), Management Consulting, Sales, or Finance.
• Understanding of the channel partner ecosystem and business models (distribution, telecommunications (telcos), solution service providers, managed service providers, hosters, etc)

• 10+ years relevant sales experience with Information Technology products/services.
• 4+years experiencemanaging others.
• Ability to lead strategic initiatives, on a project like basis, including and informing field and core stakeholders, track and resolve problems, understand Rhythm of the Business (ROB) insights and produce data driven actions with the field and partners
• Ability to connect strategy with partners to broader growth initiatives like AI adoption, cloud migration, or security
• Ability to work cross cultures, cross organizations and navigate the ecosystem to drive strategic initiatives activation

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 20, 2025.

• Reach Frequency Yield (RFY)End-to-End Ownership – Driving Reach, Frequency, Yield across Partners:This role takes full ownership of the RFY model execution in SMB through our channel.Youwill embed RFY, insights, targets and reporting into all relevant rhythm
• Work with each Area/Operating Unit (OU) to setclear RFY objectivesfor distributors.Ensure theseobjectivesappear in partnerjoint businessplans, Go To Market(GTM) plansand tracking mechanisms are available to measure performance.
• Lead amonthly RFY business review cadencewith regional channel and SMB Leads. In these reviews,analyzeRFY dashboards (Reach/Freq/Yield by distributor, by telecommunications (telco),work with the Operating Units to understandbusiness insights,surfacewhat’sworking or not, and drive follow-up actions.Ensure RFY is includedin established rhythms like Monthly Business Reviews (MBRs) and Analyst Relations (IARs) with the right level of insights and reporting views.
• Act as the“RFY Champion”in all forums – landing the concept that RFY is “how we execute throughchannelin SMB”.Youwillproviderole-based guidance so that Partner Development Managers (PDMs), Product Marketing Managers (PMMs), Partner Solution Sales (PSS) andSMB Saleseachknowtheir part in improving RFY.
• Measure & Communicate Impact:Youwill track RFY metrics rigorously and connect them to business outcomes. This will influence further targeted execution with the regions to improve RFY and CSP growth.Drive monthly communication on RFY progress.
• Collaboration:Work closely with the landing and activation lead for RFY to ensure every role in the field is aware,knowledgeableand executing on RFY levers.Advise onfield practices that have potential to scale WW.
• InformRFYstrategy forthe followingfiscal year and connect it with our key execution levers by and cross solution area
• Beyond RFY:explore and define growth opportunitiesand planswith our partner ecosystem for SMB in telco, Managed Service Provider (MSP), Small Service Provider (SSP) space

• Other:

  • Embody our and

At CoreAI, we empower developers and organizations to shape the future with Artificial Intelligence (AI). Ourmission by delivering insights, reporting, models, and tools that guide product strategy and unlock growth across our developer ecosystem.

We’re looking for aSenior Data Scientist - CoreAIcommunication withexecutive leadership and sales,the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft’s developer-focused AI suite and drives product growth.

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 shared goals. 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/Minimum Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
      • OR equivalent experience
• 1+ years ofexperience leading data science and analytics projects thatdeliveredmeasurable product and growth wins

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/Additional Qualifications:

• 3+ years of experience leading data science and analytics projects thatdeliveredmeasurable product and growth wins
• 3+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R
• 3+ years of experience designing and analyzing experiments and causal inference studies
• 1+ years of experiencecontributing to scaled datapipelines supportingoperationalized reports,modelsandanalyses
• Experience using AI tools in data science and analytics workflows
• Experience both prototyping anddeploying data products

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. 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 $158,400 - $258,000 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

• Supply executives with time-critical analyses thatsteersmajor investment decisions.
• Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication.
• Identifyand prioritize high ROIdata opportunitiesfor your individual work and the broader team.
• Contribute actively totheinfrastructure and cultureneededtoscalequantity and quality of data insightsacrossCoreAI.
• Mentor other data scientists, engineers, and Product/Program Managers.
• Operationalize models and reporting.
• Leverage AI to accelerate workflows and amplify team productivity.

We’re looking for engineers who share our belief that AI will fundamentally transform software development and who are eager to help shape that future. You will collaborate with experienced engineers, engage with the open-source community, and contribute to platforms that redefine how developers build, debug, and ship software. Our work spans from high-level developer experience to deep technical systems that require a strong understanding of low-level programming concepts such as memory management, performance optimization, and system architecture.

• Bachelor’s or master’s degree in computer science or a related field, or equivalent work experience.
• Solid programming skills in one or more of the following languages: C#, Java, C++, or Python.
• Passion for developer experience and an eagerness to understand what makes great tools.
• Excellent written and verbal communication skills with the ability to collaborate across diverse, distributed teams.

• Design and develop robust, scalable, and maintainable software components that power modern developer tools.
• Leverage AI-powered technologies (e.g., GitHub Copilot, LLM-based code tools) to accelerate engineering workflows and contribute to the development of AI-assisted features.
• Dogfood internal AI tools and platforms, providing feedback and insights to improve usability, reliability, and effectiveness.
• Collaborate with engineers across product teams and the open-source community to co-design and iterate on developer experiences.
• Participate in code reviews, architectural discussions, and agile ceremonies, fostering a culture of technical excellence and continuous learning.
• Research and experiment with emerging AI techniques and integrate them into everyday engineering practices to boost productivity.

The era of AI is transforming developer tools. TheData and Artificial Intelligence (Data+AI) team

This position is for a
Senior Software Engineer - CoreAIeager to work on developer scenarios and who is passionate about the opportunities AI models create and the development strategies that build products around them. The role requires creativity, tenacity, and critical thinking to work with these novel technologies. In this role, you will collaborate with IDE and coding language teams, data scientists, and internal and external LLM provider partners across the globe and time zones.

The role has two main focuses. First, building tools and systems to measure, evaluate, and compare advanced AI developer productivity features at scale. You will work closely with product teams to run experiments, evaluate, iterate, and improve developer products. Second, supporting forward-looking exploration with rapid prototyping, development, and delivery of cutting-edge developer tools.

Required/Minimum Qualifications:

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/Additional Qualifications:

• 2+ years of experience with AI LLM models, such as OpenAI, Azure AI, ML
• Ability to excel in a research-driven, experimental environment by embracing iterative development and shipping
• Proficiency in at least one modern programming language such as TypeScript, Python, C#, Java
• Experience working with or delivering AI-assisted developer tools
• Relevant experience running a 24/7 Azure based services
• Detailed knowledge of object-oriented design and programming, Test Driven Development approaches, and distributed cloud architectures
• Growth mindset with a desire to continually learn and apply new skills to a broad range of projects as you dig into complex problems and create solutions that scale to a large system and codebase
• Possess interpersonal skills necessary to articulate design choices and the importance of our security deliverables
• Experience working with experimentation systems, telemetry systems and data to drive engineering and product decision making
• Customer focus and a deep commitment to delivering products that create customer value and delightful experiences

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

• Works with appropriate stakeholders to determine user requirements for a feature.
• Supports identification of dependencies, and the development of design documents for a product feature with oversight.
• With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.
• Assists and learns about breaking down work items into tasks and provides estimation.
• Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.
• Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.