Principal Product Manager - Defender Office Cxe jobs at Microsoft in Taiwan, Taoyuan City

and multi-disciplinary group of scientists,

Principal Data & Applied Scienwork ongroundbreaking andhigh-impact projects at the intersection of AI and software engineering. In this role, you will drive the development and application of advanced data science techniques—especially those involving LLMs—to real-world developer workflows.. You will have the opportunity to design and lead experiments, build and evaluatemodels (including RAG pipelinesand evaluation frameworks), andinsights into scalable product features. Most importantly,play a key role in bridging

Required/Minimum Qualifications:

• degree in Computer Science, Engineering, Mathematics, Statistics

• +yearsexperiencewith strongproficiencyinPython, machine learning frameworks,and experience developing and deploying generative AI or machine learning models into production. (Experience withadditionalprogramming languages is a plus but notrequired

Preferred Qualifications

• or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significantappropriate experiencewill be considered).

• Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.

• Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.

• Experience with LLMs in natural language, AI for code or related fields

• Excellent communication skills, ability to present andwritereports, strongteamworkand collaboration skills.

• Experience in productizing AI and collaborating with multidisciplinary teams.

• researchand productization ofstate-of-the-art in AI for Software Engineering

• Build and manage large-scale AI experiments and models.

• Drive experimentation through A/B testing and offline validation to evaluate model performance.

• and geographieswith product teamsinMicrosoft and Github

• Stay up to date with the research literature and product advances in AI for software engineering

• Collaborate with world renowned experts in programming tools and developer tools to integrate AI across software development stack for Copilot

• Lead others by exemplifying growth mindset, inclusiveness, teamwork, and customer obsession

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 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.

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 .

engineers to help achieve that mission.

cutting edgenew technologya mission

Hardware/Firmware for server, silicon, and rack infrastructureof Cobaltand Maia

with experienceSystem on Chip Architecture (SoC),ring up of SoC, root causing issuesat the intersection of multiple subsystems across firmware and hardwareanage debugging at scale forconnected fleets

Required Qualifications

• Bachelor’s or higher in Computer Science, Computer Engineering, Electronics Engineering, or similar.
• 15+ years of working experience in large scale system design & architecture, development, testing, and release and performance tuning.

• Experience with Platform initialization, Board support package (UEFI/U-Boot), integration, low level drivers for peripherals such as PCIe, I2C, eMMC, SPI, USB, UARTs as well as Memory Management, Scheduling, Interrupts,and multi-threading.

• Hands on experience in programming in C or C++

• Strong problem solving, debugging, and troubleshooting skills.

• inDesign for Debug (DFD)

Preferred Qualifications

• Familiarity with secure debug topics for ARMTrustZoneand related security architectures

• bility to triage issues across hardware, firmware, and distributed systems.

• toARM-specific debug solutions:CoreSight, Debug Access Ports (DAPs), Embedded TraceMacrocells(ETMs), System TraceMacrocells

• leveragingdeep domainexpertiseto influence product roadmap

• about exploring and deploying noble methods to improve coverage,debugging, and efficiency of our FW releases.

and/or government security screening requirementsfor this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will beto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• You willarchitect scalable debug solutions forpre-silicon, post-silicon,

• You willimplement high-performance debug infrastructure includingtrace, debug interfaces(e.g., JTAG,CoreSight), and system observability pointsensuringcoverage for functionality, performance, and power metrics.

• You will be involved with all phases of product developmentincluding pre-silicon, post-silicon, and platform deployment in the datacenter.

• You willperform data exploration and root cause analysis forSoCor platform-level issues.

• You willuse telemetry and logs for triage across multiple components and services.

• You will collaborate with platform architects, firmware architects, programmanagementandcomponentdev teamsforunderstanding the technical depth of the features and definingSoC Debug Architecture,debug signalsinto Fleet systemsand defineFramework for SoC Debugging/Tools/methodologyfor End-to-end feature readiness

• Stay ahead of industry trends and ensure debug capabilities align with future SoCarchitectureand security requirements

• You willidentifyand address inefficiencies and gaps in architecture, testing, execution, etc.

• You will mentor, guide, and help peers and other team members.

• Ability to see system level “big picture” tovalidatethat the integrated firmware/system software aligns to architectural goals of product.

• Clear technical writing andcrossorginfluence; ownership of specs, reviews, and signoffs consistent with our Job Architecture expectation

• Bachelor's Degree in related field AND 8+ years' experience in project management

• OR equivalent experience.

• Project Management Professional (PMP) certification.

• 4+ years financial management experience.

• Agile certification, Scrum Master, Agile Certified Practitioner (PMI-ACP), or Professional Scrum Master One (PSM1) certification.

• Drives and maintains obligations to customer across the delivery lifecycle including envisioning, solution development, delivery planning, cloud consumption and usage, delivery management. Leads or participates in steering committee meetings with strategic customers to discuss progress toward delivery success.

• Contributes to consumption activities, through others (e.g., Customer Success resources), for customers by identifying blockers to consumption goals and enabling customers, through internal teams, to get the full value of their purchases. Holds accountability for project delivery forecast.

• Collaborates with Sales to support contract setup, signature, compliance, and execution from deal approvals to invoicing and closure. Manages areas of fiscal responsibility within project portfolio, staying within budget while driving engagement profitability and risk management.

• Supports relationships with key stakeholders in the customer portfolio to ensure service delivery is on track and issues are being anticipated, identified, and managed. Communicates current view of delivery to customer stakeholders, as appropriate.

• Engages with customer stakeholders to develop partnerships, leveraging broad technical expertise. Manages escalations or ensures resolution of escalations with customer stakeholders through tailored corrective action (e.g., education) and overcomes ambiguous situations as needed. Learns to leverage project sponsors and internal network to influence stakeholders and resolve situations.

• Drives customer satisfaction by engaging with customers stakeholders in a positive manner, reviewing and analyzing customer feedback, and leveraging trusted relationships with key internal resources to act as the voice of the customer. Manages expectations with political sensitivity by leading Success Expectation discussions with customer, and documenting, executing, and monitoring through customer and partner experience (CPE).

• Adheres to project compliance standards (e.g., confidentiality, privacy) and requirements of the contract and accommodates customer compliance standards, including managing compliance-related complexities (e.g., high sensitivity to confidentiality). Champions compliance by contributing to knowledge sharing across teams to build compliance capability of others.

• Orchestrates and oversees a broad range of project metrics on midsize to large projects with high visibility (e.g., Vice President-level). Proactively ensures adherence to key performance indicators (KPIs) and provides strategic direction to drive success throughout project lifecycle.

• Proactively manages risks and issues within projects of standard complexity, leveraging technical knowledge and previous experience to evaluate risks, perform qualitative analyses (e.g., probability, impact, urgency), create risk management plans, establish processes, and work with cross-functional groups and leaders to mitigate identified risks. Contributes to recovery efforts and ensures tools are updated. Manages issue closure as a high priority.

• Ensures timely completion and quality of deliverables (e.g., documents) and tracking of agreed upon metrics for projects of standard complexity by applying quality management techniques (e.g., benchmarking, interviews) for collecting data. Uses analyses to identify solutions to systemic issues.

• Discusses and confirms Microsoft change control processes at kickoff with customer. Anticipates changes and proactively addresses by probing to ensure change can happen smoothly early in the process. Tests process before initiating formal change.

• Manages finances for projects with mid-size to large scopes and budgets by balancing funding and resources across workstreams, performing analyses, and leveraging cost management experience and expertise. Aims to reduce cost and improve delivery margin without impact to quality or customer experience and understands impact of decisions on the broader business (e.g., profits and losses [P&L], accrual-based accounting).

• Manages stakeholder communications on project health, issues, and financial performance for mid-size to large deals throughout entire project lifecycle, tailoring communications to the audience. Tracks and maintains customer deliverables.

• Demonstrates accountability for the financial health of a project or program (e.g., revenue attainment, accurate forecasting, cost management, and utilization, skills, and capacity planning). Identifies opportunities to accelerate and drive consumption and delivery. Owns and drives backlog risk management. Drives incremental business on top of existing projects and programs through next step proposals, conducts customer discussions related to next stage proposal (NSP) and other opportunities. Engages in the pursuit cycle to ensure deals are structured appropriately. Supports and contributes to rhythm of business (ROB) and Chief Financial Officer (CFO) forecasting.

• Looks for or creates opportunities to maximize timely cloud consumption through current deliveries. Identifies new opportunities with customers and facilitates follow up conversations with customers on Consumption both strategically and operational, and to accelerate delivery or prevent delivery delays.