דרושים Commercial Sales Student Worker Opportunities ב-Microsoft ב-Taiwan, Taoyuan City

As a Software Engineering PhD Intern, you will work with teammates to solve problems and build innovative software solutions. You will apply your passion for customers and product quality as you provide technical guidance to Technical Program Managers and Product Managers. You will learn and adopt relevant new technologies, tools, methods, and processes to leverage in your solutions. This opportunity will enable you to advance your career by designing, developing, and testing next-generation software that will empower every person and organization on the planet to achieve more.

Required Qualifications

• Pursuing a PhD in Computer Science, Engineering, or related field during the academic term immediately before the internship.

• Must have at least 1 semester/term remaining following the completion of the internship.

• At least one year of programming experience in an object-oriented language.

Preferred Qualifications

• Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms.
• Academic/research experience with distributed systems, network architecture, operating systems, and/or related topics.

The base pay range for this internship is USD $5610.00 - $11010.00 per month. 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 $7270.00 - $12030.00 per month.

• Applies engineering principles to solve complex problems through sound and creative engineering.

• Works with appropriate stakeholders to determine user requirements for a feature.

• Quickly learns new engineering methods and incorporates them into work processes.

• Seeks feedback and applies internal or industry best practices to improve technical solutions.

• Demonstrates skill in time management and completing software projects in a cooperative team environment.

• 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.

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.

• 10+ years of experience in Sales, Partner/Channel development, business development, alliance management in the technology industry
  • Experience articulating technology platform strategy and solutions with a great proficiency
  • Good candidate will be inclusive and collaborative, drive teamwork and cross-team alignment and will have strong relationship management and solution development skills
  • Strong executive presence including communication and presentation skills with a high degree of comfort to large and small audiences.
  • Strategic thinker who drives for impact. Strong candidates with problem solving mentality leveraging internal and/or external resources, conflict resolution, and follow through with partners.
  • Bachelor’s degree required; MBA desired.

• Sales Leadership

• Partner Success

• : Create strategic business objectives and partnership plans, coordinate partner prioritization and growth, ability to set clear goals/timelines for the business to achieve or exceed on revenue/metric targets and drive execution against agreed plans. Demonstrate the ability to make decisions in a fast-paced and rapidly changing environment.

• Focus on Performance Management with partners

is committed to advancing cutting-edge AI technologies that enable deeper understanding and interaction with people, objects, and environments in the 3D real world. Our research spans a diverse range of areas, including computer vision, generative AI, 3D perception, and robotic action learning, among others relevant to Embodied AI. By pushing the boundaries of these domains, we aim to develop innovative solutions that bridge the gap between the digital and physical worlds, empowering AI systems to perceive, comprehend, and navigate complex real-world scenarios.

Required Qualifications:

• Currently enrolled in a PhD program in Robotics, Machine Learning, Computer Science, or a related STEM field.
• Research experience inembodied AI, robotics, AI models, natural language, computer vision, demonstrated for example through research in a related PhD program and/or publications in conferences or scientific journals.
• Hands-on experience with Python and modern deep learning frameworks.
• Excellent problem-solving skills and the ability to work independently as part of a team.
• Strong communication skills and the ability to present complex ideas clearly.

Other Requirements:

• Ability to physically work from Microsoft Research Asia – Tokyo (Japan) for the duration of the internship.
• Must obtain permission from your academic advisor and commit to at least four months of internship.

Preferred/Additional Qualifications:

• Proven software engineering skills, evidenced by professional experience, internships, and impactful open-source contributions.
• Practical experience with handling data and robot learning, such as experience in Vision-Language-Action modelsor Hand Object Interactions.
• Familiarity with1)robot learning for robot hand manipulationor 2) hand pose estimation techniques or 3) reasoning techniques (Chain-of-Thought) used in LLM.

• Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in Embodied AI.
• Design and implement experiments to test new hypotheses and validate research findings.
• Communicate research findings to an interdisciplinary research team.
• Prepare technical papers, presentations, and open-source releases of research code.

The qualified candidate is a qualified negotiator with proficient strategic thinking, and the ability to simplify complex legal and commercial constructs. Collaboration, adaptability, and a deep understanding of Microsoft Services and licensing programs are key to thriving in this role.

Minimum Qualifications:

• Bachelor's Degree in Business Management, Information Technology, Law, Marketing, Finance, Communication, Education (or equivalent) or related field AND 3+ years sales and negotiation experience or related work or internship experience
  • OR 5+ years sales and negotiation experience
  • OR equivalent experience.

• 3+ years of experience with deal strategy, deal execution and contractual negotiations.
• 3+ years of experience in Customer Facing Commercials and Presenting to C-Level Executives.

Additional or preferred qualifications

• Master's Degree in Business Management, Information Technology, Law, Marketing (or equivalent) AND 4+ years sales and negotiation experience or related work
  • OR Bachelor's Degree in Business Management, Information Technology, Law, Marketing, Finance, Communication, Education (or equivalent) or related field AND 5+ years sales and negotiation experience or related work or internship experience
  • OR 7+ years sales and negotiation experience
  • OR equivalent experience.
• 5+ years of experience with deal strategy, deal execution and contractual negotiations.
• 5+ years of experience in Customer Facing Commercials and Presenting to C-Level Executives.
• Proven track record of proficiency in Business to Business (B2B) Commercial sales.
• Able to make suitable choices for the customer based on their commercial strategic needs.
• Strategic, long-term thinkers able to analyze data to identify trends, risks and opportunities.
• Knowledge of Microsoft Commercial Agreement, Licensing, and Operational Experience.

- The typical base pay range for this role across the
USD $113,400 - $164,000 per year.

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

are responsible for the following:

Deal Making:

• Lead internal and external sales and management teams through commercial construct optimizing for the right level of investment and customization. Optimize deal customization leveraging price and non-price concessions.

• Identify business opportunities which vary based on deal lifecycle and artificial intelligence (AI). Take relevant steps to make sure deal execution is proficient.

• Creates and manages commercial plan/contributes to account plan for strategic accounts by mapping out how to maximize qualified medium in size/scope or complex commercial opportunity for the account.

• Analyzes customer commercial opportunity history, inclusive of discounts, concessions, and consumptions for territory. Anticipates and verifies upcoming renewals as appropriate.

Compliance:

• Drives adherence to commercial solutions policy for commercial deal execution, and coaches sales team to ensure compliance.

• Actively and promptly raises compliance issues; drives a culture of compliance through deal execution and related parts of Microsoft policies.
• Assesses and analyzes deals for risks related to profitability, legal issues, and contracting. Coaches’ others on assessment and escalation of risk.

Negotiation:

• Define, negotiate complex commercial terms and lead the strategy for the negotiation approach by engaging with stakeholders.

• Partners with leaders when negotiating complex commercial terms in collaboration with the account team and deal manager. Understands stakeholders (priority). Leverages formal negotiation strategies and identifies important factors for successfully negotiating (e.g., anticipates potential vulnerabilities, understands customer measurement of value in order to craft solutions to meet those needs and defines fallback positions).

• Consults with leaders on rhythm of negotiation team planning and reporting to stakeholders. Utilizes the strategy for the negotiation approach by engaging with experienced stakeholders internally and externally. Drives accountability for negotiation outcome(s).

Collaboration

• Develop trusted relationships with key customer stakeholders, partners, Account Team in order to help our customers deliver their business goals and achieve Microsoft revenue targets.

• Leads collaboration with sellers and stakeholders to achieve revenue targets. Leverages critical resources (e.g., deal desk, sales support, operations, partners, finance) to drive business outcomes.

• In-depth and strategic understanding of Microsoft licensing programs and contracting.

Proactive Engagement:

• Proactively engages with others to align commercial strategy to customer needs. Applies knowledge of expected outcomes to determine how commercial licensing/contracting should be changed to meet customer needs.

• Drives accountability in resolving cross-functional issues to successful conclusion. Fosters overall proficiency by driving proficient team collaboration.

Other

• Embody our and

Required Qualifications

• Currently pursuing aPhD/ Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
• Must have at least three additional semesters of school remaining (graduation date 2027 or later)
• Solid background in machine learning, deep learning, language models and optimization.

Preferred Qualifications

• Currently pursuing a PhD inComputer Science, Engineering, Data Science, Mathematics, or related field.
• Proficiency in Python and experience with PyTorch, TensorFlow and ONNX.
• Research or hands-on experience in efficient model architecture and model compression techniques (quantization, pruning, distillation, etc.).
• Research or hands-on experience with language models (e.g., BERT, LLaMA, GPT).
• Publications in top-tier relevant ML venues (e.g., NeurIPS, ICML, ACL, or ICLR).
• Previous industry experience as a Data Scientist / Intern.
• Solid background in machine learning, deep learning, language models and optimization.
• Strong analytical thinking and independent research capabilities.
• Excellent communication, collaboration, and writing skills.

• Design, implement, and evaluate methods to enable efficient, secure and optimized deployment of AI models on edge or resource-constrained platforms.
• Drive innovation and practical research, iteratively improving solutions based on empirical results, working with large-scale textual datasets.
• Document research findings and contribute to publications, open-source projects, or patent filings as appropriate.
• Formulate approaches to solve problems using well defined algorithms and data sources
• Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
• Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.

Required

• Working knowledge of Microsoft’s cloud offerings or Competitors’ related ecosystem
• Demonstrable experience selling complex cloud based solutions with particular focus on Data and AI services
• Possess both business acumen expertise and technology knowledge to connect how cloud computing can help an organisation achieve its business objectives

Additional or Preferred Qualifications (PQs)

• Sales Account Planning and Management: Understanding of opportunity pipeline management. Orchestrate and influence virtual sales/technical/support/partner teams to pursue sales opportunities
• Understanding of key infra-to-the-cloud workloads such as; Windows Server, SQL, SAP, HPC, Business Continuity Disaster Recovery (BCDR) data, App Modernisation, Security & hybrid cloud.
• Consumption Business Strategy / Project Management. Experience leveraging cloud adoption methodologies and frameworks to structure Datacentre and application migration projects.
• Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs.
• Demonstrated passion and commitment for customer success
• Experience in Financial Services Industry

• Lead Strategic Customer Conversations: Engage executives, business leaders, and technical teams to understand their priorities and challenges, mapping them to Microsoft’s Cloud & AI solutions to deliver differentiated value
• Own and Convert Pipeline: Manage forecast and pipeline from early-stage to close. Use tools like Industry Account Plans (IAP), Landing Experience Plans (LXP), and checklists to execute territory planning and strategies and drive revenue.
• Orchestrate Across Teams: Partner with Account Executives, Solution Engineers, Cloud Solution Architects, and partners to co-sell, validate solutions, and ensure successful deployment through the Cloud & AI Marketplace.
• Accelerate Decisions: Engage decision-makers with clear business cases using Cloud & AI Pricing Calculator, ROI, and TCO tools. Scope proofs of concept and lead customers from commitment to consumption.
• Inspire and Influence: Bring technical fluency and inclusive leadership to virtual teams. Solve challenges with expertise in virtualization, cloud-native tech, data modernization, and AI
• Scaling and Collaboration:Collaborates with our Partner Solutions teams,identifies