Microsoft Advertising is at the forefront of the digital advertising industry and empowers advertisers around the world to reach and expand their potential through our full-funnel digital marketing solutions.  Microsoft properties such as Edge, Bing, MSN, Copilot, and our 3P partner network offer advertisers access to target audiences.

We are seeking a SMB Demand Planner to join our team. This role delivers high quality advertiser demand for available audience supply and advertising product opportunities on the Microsoft Advertising Platform.  As a trusted advisor to field and operation teams, you will use analytical and collaborative skills to identify demand opportunities for acquisition and growth; share insights; drive programs and support prioritization.

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Convert supply and product opportunity areas into demand priorities for the SMB segment. Done in collaboration with key stakeholders, and as part of overarching demand planning efforts.
• Drive growth activation plans and programs adapted to a range of service models (outsourced/through-partner, self-service).  Activities would include target setting; leading enablement; communicating results; delivering retrospectives for ongoing improvements.
• Anticipate, validate and articulate product fit and implementation challenges from customer perspective – providing actionable insights.
• Problem solve and drives segment level correction of error efforts. Utilizes insights from customer cases and support tickets to proactively develop and communicate solutions to product and engineering teams. Identify and propose incentive/ acceleration opportunities.
• Expands on the established planning framework by soliciting feedback, participating in v-team meetings, and evolving the team value proposition to key internal stakeholders.

Required Qualifications:

• Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

#MicrosoftAI #Microsoftadvertising

Customer Experience Program Mgmt 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:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

The Microsoft AI Monetization team is responsible for driving innovative monetization strategies across Microsoft’s AI products including Copilot, Bing, Edge, and Microsoft Advertising. We focus on delivering highly relevant and engaging experiences for consumers while maximizing value for advertisers and partners. 

We are seeking an accomplished Principal Technical Program Manager to drive critical monetization initiatives for Bing Search. This execution-focused role requires a seasoned leader who can orchestrate complex, cross-organizational programs involving multiple CVPs, finance partners, and engineering teams to unlock new revenue opportunities while delivering exceptional user experiences. 

The ideal candidate will bring deep expertise in monetization and experimentation and analysis, with proven ability to drive results across highly matrixed organizations. You will build end-to-end user experiences across platforms and lead data-driven experimentation to improve relevance, engagement, and overall product performance. Experience with Search and Ads ecosystems is highly valued. 

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Own end-to-end execution of large-scale monetization programs, driving delivery against aggressive timelines and measurable business outcomes. 
• Define execution strategy, milestones, and success metrics for complex technical programs across ad delivery, AI/ML-driven targeting and bidding, traffic optimization, whole-page monetization, and cross-platform user experiences. 
• Orchestrate execution across multiple engineering, product, and partner teams, proactively managing dependencies, risks, and tradeoffs in highly matrixed environments. 
• Establish solid operational rigor through clear review cadences, executive-level communication, and cross-team alignment to maintain velocity and quality at scale. 
• Partner closely with Finance, Product, Engineering, Data Science, and Design to model revenue impact, track performance, and translate technical complexity into business-aligned outcomes. 
• Lead data-driven experimentation and analysis to validate monetization hypotheses, measure incremental impact, and inform prioritization across initiatives. 
• Apply deep understanding of the Search and Ads ecosystem—including SERP rendering, ad marketplaces, ranking systems, and monetization infrastructure—to guide technical and product decisions. 
• Influence senior stakeholders across Bing, Microsoft Advertising, AI Platform, and partner organizations to drive alignment, unblock decisions, and deliver cohesive solutions. 

Required Qualifications:

• Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.

Additional or Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• Experience with Search and Ads ecosystems including search engines (Bing, Google), advertising platforms (Microsoft Advertising, Google Ads), ad serving systems, or related technologies. 
• 8+ years of experience managing cross-functional and/or cross-team projects.
• 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos)

#MicrosoftAI #MAI

Technical Program Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 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 $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Required/Minimum Qualifications

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 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 $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About the Team

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human‑centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats such as prompt injection, and privacy‑first systems that scale globally across Microsoft Copilot surfaces.
As Copilot enters a new era of agentic AI, where systems reason, plan, and act on behalf of users, security can no longer be static or rules‑based. We are building adaptive, learning‑driven defenses that bring judgment, context, and “security common sense” directly into model behavior and agentic workflows.

About the Role

We are seeking a Senior Machine Learning Engineer to tackle some of the hardest problems at the intersection of applied ML, AI security, and agentic systems. This is a hands‑on role focused on designing, training, evaluating, and shipping ML‑powered defenses that protect Copilot users from threats such as prompt injection, adversarial manipulation, unsafe delegation, and abuse of agentic workflows.
You will work closely with security engineers, applied scientists, and product teams to translate emerging threat patterns into production ML systems—from detection models and policy learners to evaluation frameworks that measure real‑world robustness. Your work will directly shape how Copilot reasons safely, applies guardrails, and earns user trust at global scale.

Why This Role Matters

Agentic AI introduces fundamentally new security risks: indirect prompt injection, cross‑tool privilege escalation, unsafe reasoning chains, and subtle information‑flow failures. Your work will help define how AI systems develop and apply security judgment, enabling Copilot to act safely and responsibly while still unlocking powerful new capabilities for hundreds of millions of users worldwide.

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Design, train, and deploy ML‑based defenses for threats such as prompt injection, adversarial inputs, and abuse of agentic workflows.
• Develop adaptive detection and policy models that learn from evolving attacker behavior rather than relying solely on static rules or signatures.
• Build and own evaluation frameworks for AI security, including adversarial testing, red‑teaming support, and continuous robustness measurement across real Copilot scenarios.
• Partner with security and engineering teams to integrate ML defenses into secure orchestration frameworks that govern agent delegation, tool calling, and action execution.
• Apply ML to encode security “common sense” and judgment into AI responses, balancing usefulness, safety, and user intent.
• Monitor and analyze telemetry to improve model performance, reduce false positives/negatives, and guide iterative defense improvements.
• Collaborate cross‑functionally with product, privacy, and AI platform teams to land agentic security patterns across Copilot and MAI.
• Document and share applied ML security techniques, helping establish best practices for secure agentic AI across Microsoft.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR 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, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years of hands‑on experience building and shipping machine learning systems in production.
• Solid foundation in ML fundamentals, including classification, anomaly detection, representation learning, and model evaluation.
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow).
• Experience designing end‑to‑end ML pipelines: data collection, training, evaluation, deployment, and monitoring.
• Ability to reason about adversarial behavior, threat models, and failure modes in AI/ML systems.
• Experience working on AI safety, trust, or security‑adjacent ML problems, including prompt injection, abuse detection, or adversarial ML.
• Familiarity with agentic or LLM‑based systems, including tool calling, multi‑step reasoning, or orchestration flows.
• Experience building ML evaluation and observability systems for real‑world AI behavior (e.g., adversarial testing, red‑team loops, robustness metrics).
• Exposure to distributed ML systems, large‑scale data processing, or model serving in cloud environments.
• Ability to clearly communicate complex ML and security concepts to engineering and non‑ML stakeholders.

#MicrosoftAI #MAIDPS

Software Engineering 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:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

We’re looking for an experienced HPC Site Reliability Engineer (SRE) to join our High Performance Computing (HPC) infrastructure team. In this role, you’ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll ensure that AI systems stay efficient and reliable with very high uptimes.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

• Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of HPC clusters powering MAI model training and inference.
• Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into all aspects of HPC systems including GPU, clusters, storage and networking.
• Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in CPU+GPU environments.
• Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
• Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.
• Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.

Required Qualifications

• Master’s Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering
  • OR Bachelor’s Degree in Computer Science, Information Technology, or related field AND 4+ years technical experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering
  • OR equivalent experience

Preferred Qualifications

• Strong proficiency in Kubernetes, Docker, and container orchestration.
• Knowledge of CI/CD pipelines for Inference and ML model deployment.
• Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code.
• Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.).
• Strong programming/scripting skills in Python, Go, or Bash.
• Solid knowledge of distributed systems, networking, and storage.
• Experience running large-scale GPU clusters for ML/AI workloads (preferred).
• Familiarity with ML training/inference pipelines.
• Experience with high-performance computing (HPC) and workload schedulers ( Kubernetes operators).
• Background in capacity planning & cost optimization for GPU-heavy environments.
• Work on cutting-edge infrastructure that powers the future of Generative AI.
• Collaborate with world-class researchers and engineers.
• Impact millions of users through reliable and responsible AI deployments.
• Competitive compensation, equity options, and comprehensive benefits.

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 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 $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering 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:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

UX Research M6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience. 

Preferred Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
• • OR equivalent experience.
• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI
• 5+ years experience delivering products that include full Search and/or Advertising technology stack
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).
• 7+ years of experience building Ads products 
• 5+ years of experience in monetization products and B2B
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
  
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.    

Product Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 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 $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Product Management IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold — to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. 

 
This role focuses on building data pipelines, applications on customer-centric, automatically process customers insights using LLM(s) on Copilot and its features, generating insights, on top of Azure environments, dashboards, reporting and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot — responsive to your preferences, workflows, and goals — while preserving privacy, security, performance, and scale. 
 
We are looking for a  Principal Software Engineer to design, build, scale and development of data pipelines, data infrastructure, APIs , owns end-to-end integrations and that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams. 
 
You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions. 
 
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.   
 
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Architect scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights.  
• Design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features.  
• Own orchestration, monitoring, and DevOps for critical data workflows.  
• Design data models and APIs that enable customer loop insights using LLM(s). 
• Collaborate with privacy, security, and responsible AI teams to ensure customer insight is safe, transparent, and user-controlled. 
• Optimize for performance, reliability, and cost across diverse workloads and geographies. 
• Ship high-quality, well-tested, secure, and maintainable code. 
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. 
• Enjoy working in a fast-paced, design-driven, product development cycle. 
• Embody our Culture and Values.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Preferred Qualifications:

• Master’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, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with large scale data systems. 
• Experience working with AI platforms, frameworks, and APIs.   
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.  
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.   
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.  
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 
• 6+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, Databricks, Azure Synapse Analytics. 
• 6+ years’ experience in OSS (Open-Source Software) data technology, such as Kafka, Spark, Flink. 

#MicrosoftAI #MAIDPS

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 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 $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Required Qualifications:

• Master’s Degree in Marketing, Computer Science, Business or related field AND 4+ years experience in business,product,service,project or program management OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business ,product,service,project or program management
  • OR equivalent experience. 

Preferred Qualifications:

• Master’s Degree in Marketing, Computer Science, Business or related field AND 8+ years marketing, sales, product, service, project or program management experience OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 12+ years experience in business, product, service, project or program management 
  • OR equivalent experience.

• Proven experience in product marketing with a strong focus on student or education markets.Deep understanding of Gen Z behaviors, preferences, and communication channels. Demonstrated success in developing and executing go-to-market strategies

• Experience managing multi-channel marketing campaigns including social, paid media, events, and partnerships. 

• Excellent collaboration and communication skills to work effectively across teams and external partners. 

• Data-driven mindset with the ability to leverage insights for continuous improvement.

• Strong skills in product messaging and positioning. 

Product Marketing IC5 – The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 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 $165,600 – $272,300 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

About the Team

We build the cross-cutting capabilities that shape the future of human-AI interaction. Our work spans modalities—text, voice, vision, action—and pushes the boundaries of what intelligence can do in people’s lives. We partner deeply with design, product, and applied AI to ship extraordinary experiences that define what Copilot becomes. The problems we solve don’t fit neatly into one layer of the stack or one corner of the org—which is exactly what makes them interesting. Our mandate is to make Copilot the essential AIcompanion: ubiquitous, always capable, always there. We’re building for a future where AI doesn’t just respond—it acts, creates, and orchestrates.

About the Role

You’ll build revolutionary experiences at the intersection of modality and intelligence. The pace is fast. The ambiguity is high. You’ll ship things that millions of people use—and you’ll ship things that don’t exist anywhere else yet.

If you want to work on well-scoped problems with clear answers, this isn’t the team. If you want to define the future of how humans and AI live and work together, come build with us.

• Create breakthrough experiences that redefine what an AI companion can do
• Build across modalities—voice, vision, text, and action—to make Copilot feel seamless and alive
• Own features end-to-end, from concept through production, at scale
• Collaborate with applied AI researchers to bring cutting-edge model capabilities to users
• Ship experiments rapidly, learn from usage, and iterate toward experiences that feel like magic
• Work across team boundaries on problems that span the entire product

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Strong full-stack fundamentals across frontend (React, TypeScript) and backend systems
• Proficiency in Python or similar languages for backend development
• Experience building scalable web APIs and services
• Comfort with ambiguity and the ability to move fast in loosely-defined problem spaces
• Taste for great product experiences and a drive to ship work that matters

Software Engineering 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:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.