Senior Gaming Category Manager jobs at Microsoft in Taiwan, Taoyuan City

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:

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.

Clearance requirement

• Ability to get clearance for government related technology engagement

Required/minimum qualifications

• Master's or Bachelor' Degree in Computer Science, business, or related field AND 3+ years customer success, solution delivery, practice management, customer-facing consulting, or portfolio management experience
• 3+ years of working experience in public safety and defense or public sector

? The Business and Industry Solutions (BIS) team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency.lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making.collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.

in natural language processing (NLP), witha strong foundationin large language model (LLM) development, evaluation, and fine-tuning. They should have hands-on experience in applying advanced fine-tuning techniques—including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation—to build agents capable of multi-step reasoning and decision-making. Familiarity with prompt/context engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential. The candidate should be comfortable working in a fast-paced, experimentation-driven environment,both offline and online evaluation methods to iterate rapidly andagent behavior. A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role.

Qualifications

• Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

• OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.
• 1+ years of experience withgenerativeAIOR LLM/ML

Preferred Qualifications:

• Experience withMLOpsWorkflows, including CI/CD, monitoring, and retraining pipelines

• Familiarity with modernLLMOpsframeworks (e.g.,LangChain,PromptFlow

• 3+ years of experience publishing in peer-reviewed venues or filing patents.

• Experience presenting at conferences or industry events

• 3+ years of experience conducting research in academic or industry settings
• 1+ year of experience developing and deploying live production systems

• 1+ years of experience working with Generative AI models and ML stacks
• Experience across the product lifecycle from ideation to shipping

and/or government security screening requirementsfor this role. These requirements include but are not limited to the following specialized security screenings:

• requiredto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• by executing high‑leverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes.

• Lead the design and implementationof advanced model fine‑tuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in real‑world scenarios.

• Own complex, end‑to‑end projectsthat combine technical depth with cross‑functional collaboration, influencing feature direction and prioritization rather than broad organizational investment decisions.

• Foster alignment and trustacross partner teams through clear, actionable communication and collaborative problem‑solving.

• Develop and maintainrobust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise‑scale environments.

• Mentor and supportpeers by sharing best practices, reviewing designs, and contributing to a collaborative, high‑performance team culture.

• Leverage AI tostreamline workflows and enhance team productivity through intelligent automation and innovation.

As an SAP Solution Engineer, you will work closely with a dedicated salesperson from the Strategic Partnership team to sell SAP Azure in western Europe. This is a technical pre-sales role, responsible for all technical pre-sales activities, including running workshops, leading technology presentations as well as assisting our customers in becoming frontier, taking advantage of the possibilities of CoPilot and Agentic AI with SAP on Azure. This opportunity will allow you to interact with senior stakeholders, decision makers and the technical staff of our customers. You will have opportunities to accelerate your career growth, develop deep business acumen, hone your selling skills, and become adept at evangelizing why Microsoft Cloud, its cloud services and capabilities are ideal for innovation.

This is a flexible working opportunity and working from home is possible when not visiting customers. International travel maybe be required.

Required Qualifications

• Several years of technical pre-sales or technical consulting experience.
• Several years of extensive experience with SAP infrastructure-related technologies, paired with asolid understanding of the SAP ecosystem and how to bring them to life with Azure or competing clouds.
• Comprehensive understanding of cloud platform technologies, especially AI, Agentic and CoPilot technologies.
• Multi-lingual speaking skills, especially French (B2+) and English (C1+).

Additional Qualifications

• Computer Science, Information Technology or related 4 year degree
• Proficiency in understanding the core business processes associated with companies running SAP, especially those in the manufacturing, pharma, energy and retail/consumer products industries
• Proven experience engaging with senior level executives.
• Superior communication and presentation skills and the ability to influence for impact and stakeholder collaboration.
  

• Proactively identify and engage with key customer decision makers and influencers, while leading the technical sales strategy, including positioning the advantages of the Microsoft platform, from security to AI for SAP RISE and SAP in Azure customers.
• Use your broad, in-depth knowledge and leadership skills to build credibility and trust with our customers
• Leverage your skills and experiences to take ownership of resolving all technology aspects of a complex customer engagement
• Foster a deep relationship with SAP and the SAP Community, to keep aligned with SAP strategies and SAP customer trends
• Engage the Microsoft global system integration partner ecosystem in a sell-with motion
• Generate new go-to-market strategies and patterns and share them with the global and area community.

As aScience Managerfor BIC, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration ofYou will collaborate acrossThis rolewill combineAI knowledge withapplied sciencedemonstrate a growth mindset

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 of people management experience.
• 1+ years of experience withgenerativeAIOR LLM/ML

Other Requirements:

• to meet Microsoft,customerand/or government security screening requirementsarerequiredfor this role. These requirements include but are not limited to the following specialized security screenings:

• requiredto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Experience withMLOpsWorkflows, including CI/CD, monitoring, and retraining pipelines.

• Familiarity with modernLLMOpsframeworks (e.g.,LangChain,PromptFlow)

• + years of experience publishing in peer-reviewed venues or filing patents

• Experience presenting at conferences or industry events

• + years of experience conducting research in academic or industry settings

• + year of experience developing and deploying live production systems

• + years of experience working with Generative AI models and ML stacks

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 15, 2025.

Bringing the State of the Art to Products

• Build collaborative relationships with product and business groups to deliver AI-driven impact
• LeadResearch and implementation ofstate-of-the-artusing foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
• Fine-tunefoundation models using domain-specificdatasets. -Evaluate model behavior on relevance, bias, hallucination, and response qualityvia offline evaluations, shadow experiments, online experiments, and ROI analysis.
• Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, supportMLOps/AIOps.
• Contribute to papers, patents, and conference

Leveraging Researchin real-world problems

• deepexpertisein AI subfields (e.g.,deep learning, Generative AI,NLP,muti-modal models)to translatecutting-edgeresearch into practical, real-world solutions that drive product innovation and business impact.
• Share insights on industry trends and applied technologies with engineering and product teams.
• Formulate strategic plans that integratestate-of-the-art

Documentation

• Maintain clear documentation of experiments, results, and methodologies.
• Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing

,and Security

• Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.
• Contribute to internal ethics and privacy policies andensure responsible AIpracticethroughoutAIdevelopment cyclefrom data collectionto model development, deployment, and monitoring.

Specialty Responsibilities

• Design, develop, and integrate generative AI solutions usingfoundation models and more.
• Deep understanding ofsmall and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classicalML,andoptimization techniques to adapt out-of-the-box solutions toparticular businessproblems
• Prepare and analyze data for machine learning,identifyingoptimalfeaturesandaddressingdata gaps.

As an(AM) focused on Microsoft Advertising, you will enable Microsoft to better serve clients by applying your obsession to what clients care about and need, ensuring our story is valued and understood, and building and maintaining solid trusted-advisor relationships with day-to-day practitioner contacts at advertiser/agency. You will drive both revenue and client satisfaction across MSA’s performance solutions and as a core member of the account team, this opportunity will allow you to focus on driving data-driven optimizations aligned with client needs, executing campaigns and driving solid coordination or internal resources for excellence in execution of core tasks, account transitions, and client account health.

Required Qualifications:

• Master of Business Administration (MBA) Degree in Sales, Marketing, or related field and 2+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR Bachelor's Degree in Sales, Marketing, or related field and 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR 6+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) or equivalent experience.
• 1+ year of experience managing hands-on search advertising campaigns and other performance-based digital marketing campaigns.

Preferred Qualifications:

• Master of Business Administration (MBA) Degree in Sales, Marketing, or related field and 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR Bachelor's Degree in Sales, Marketing, or related field AND 5+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR 8+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR equivalent experience.
  
• 2+ years of experience managing hands-on search advertising campaigns and other performance-based digital marketing campaigns.
  
• 2+ years of experience in online media or Search Engine Marketing Sales and Service experience.

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 19, 2025.

• Proactively solicits feedback on additional advertising needs, products, and features and ensures the feedback reaches the right stakeholders internally through relevant channels to gain a further understanding of market needs and client expectations and to drive solutions on behalf of the clients.
• Builds and maintains a solid network of internal and external partner resources to drive opportunities and influence impact for clients. Collaborates with partners to develop and share client plans that support Microsoft business and client needs.
• Establishes oneself as the primary point of contact to address day-to-day inquiries. Engages clients in a proactive manner to address day-to-day questions related to account monitoring (e.g., what to prioritize, managing escalations, billing, compliance requirements, flags, or reactions), managing client needs, and addressing issues.
• Builds and maintains relationships with day-to-day client contacts as a trusted advisor throughout multiple levels.
• Seeks client feedback (both formal and informal) to identify and understand the drivers of satisfaction and understand the drivers of dissatisfaction, determine the root cause of problems, and remove blockers. Establishes recovery action plans to improve the client's overall experience and avoid future instances of dissatisfaction.
• Articulates Microsoft's strategy and other products and services, and educates clients on the Microsoft Advertising platform. Shares knowledge of the search landscape with clients to create a mutually-beneficial business value proposition and executes relevant solutions.
• Adopts Microsoft sales strategies (e.g., Challenger Sale) and handles main objections from clients. Works to overcome obstacles, sell tailored solutions, and secure buy-in and execution.
• Leverages Customer Relationship Management (CRM) tools (e.g., account management, opportunities, tracking, and reporting), other tools (e.g., customized performance dashboards, data, insights), and ad hoc opportunities to identify ways to keep up with account health, increase performance, satisfaction, and upsell opportunities to increase revenue.
• Collaborates with internal partners and peers to develop and implement strategies to identify and maximize upselling opportunities through value-proposition presentations and/or to help Account Executives accelerate the closing of deals.
• Proactively researches information about clients' advertising needs (e.g., advertising key performance indicators [KPIs]) to learn more about their competition and market trends. Identifies opportunities to drive optimizations and new solutions based on clients' advertising strategies.
• Presents tailored solutions based on clients' insights.
• Maintains knowledge of emerging industry trends beyond a singular product as well as of technology and key performance indicators (KPIs).
• Leverages competitive trends and shares knowledge with others as a subject matter expert.
• Embody and promote Microsoft’s and .