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Redmond, United States

Principal Software Engineer Principal Software Engineer

Location
Redmond, United States
Job Number
200026647-en-1
City
Redmond
Team
Search
Country
United States
Discipline
Software Engineering
Overview

The Microsoft AI Web Data team is looking for a Principal Software Engineer to help us build the next generation platform for Bing and Microsoft AI. In Web Data, we are on a mission to build the most vast, safe, and accurate model of the Web to power search and AI. We are pushing frontiers of scalability and index quality by creating models and systems for discovering, storing, processing Web content, protecting our users & platform from Spam, Scams, and malware by keeping a step ahead of bad actors, and operating AI solutions. Our core set of engineering challenges includes: 

  • Discovering diverse content on the Web quickly and efficiently by understanding the structure and dynamics of the Web and optimizing crawl scheduling 

  • Building Big Data pipelines, creating ML and AI models for index selection, and determining document quality 

  • Building complex, Big Data pipelines, creating and deploying ML & AI models at Web scale for improving Safety by recognizing various forms of SEO Spam, Scams, Malicious webpages with exceptional Precision and Recall despite the rarity, and constant adversarial battle against bad actors. 

  • Designing and implementing models and pipelines for near-real time (NRT) indexing and content freshness 

  • Designing and implementing methods for leveraging AI in platform and backend solutions 

This is a great opportunity for someone who loves to tackle deep technical challenges and strives for industry-wide impact. Someone who has the skill, will, and perseverence to steer a highly complex system, with many interdependencies, towards a better design. At this role, you would be advancing the platform and pipelines that powers the MAI Web Data’s Safety systems, in a fundamentally new, modern direction. You’d be instantiating new technology into production to address Web Data product needs of the future. You will work on the design, development, execution, and implementation of technology at massive scale. You will work with Applied Scientists to develop, evaluate, operate, and/or deploy algorithms and solutions to improve or contribute to the creation of features and models with the highest system performance, quality, data management, and accuracy. 

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.



Responsibilities
  • You will partner with stakeholders within Safety, Web Data, and partner teams, to determine requirements, lead the identification of dependencies and the development of design documents, and drive project plans, release plans, and work items. 
  • You will lead by example, and mentor other engineers to produce extensible, scalable, high performance, resilient, and maintainable design and code. 
  • You will inspire accountability as a Designated Responsible Individual (DRI), mentoring engineers across teams, monitoring system/product/service for degradation, downtime, or interruptions, and proactively improving them. 
  • You will promote innovation and engineering excellence by seeking and sharing new knowledge and adapting to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and sharing knowledge with other engineers and improving developer agility. 


Qualifications

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. 

Additional or Preferred Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python 
    •  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 equivalent experience. 
  • Experience with processing Terabyte to Petabyte scale data with efficient algorithms for feature engineering, and experience with optimizing for high inference ROI and deploying AI/ML models including, but not limited to, Decision Tree and Forest models, encoder only and generative LLM/SLM models, multi-modal models, on NVIDIA, AMD, TPU or equivalent accelerators.
  • 3+ years of hands-on experience working with big data technologies (e.g., Hadoop, Spark, Kafka) or building highly scalable backend systems (e.g., distributed systems, microservices architecture, cloud-native services)  
  • Familiarity with Search stack and Grounding stack for AI Assistants, black-hat SEO and malicious techniques targeting traditional & generative search, and AI Assistants. 
#Search
#MicrosoftAI
#MAI


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.

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Senior Event Coordinator – Microsoft AI Senior Event Coordinator – Microsoft AI

Location
Redmond, United States
Job Number
200029547-en-1
City
Redmond
Team
Copilot
Country
United States
Discipline
Business Program Management
Overview

At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.

As Senior Event Coordinator for the Microsoft AI team, you will play a pivotal role in fostering a team culture that is vibrant, inclusive, and high-performing work environment. You’ll manage strategic operations, new hire onboarding experience, elevate cultural engagement, site level events and design scalable processes that support organisational growth.

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.

This role is based in Redmond, WA; you must be in the office four days per week.



Responsibilities
  • Meetup Strategy Planning & Execution plan each Redmond Meetup for the MAI organization that creates an effective, welcoming and well executed meetup experience. Responsibilities include: location booking (onsite), catering, AV booking and hands on support.
  • Team Culture & Collaboration Foster an inclusive, empowering environment where individuals feel supported to grow, collaborate freely, and contribute to shared success.
  • Onsite Events & Experiences Create moments that matter for the MAI employees in the Redmond office. Examples include: Meetups, Social Connect Events, Networking, and Annual Events. Help drive connection to one another, MAI brand love and ensure top talent remains top talent in our organization.
  • Operational Excellence Manage and enhance day-to-day operations by identifying improvement opportunities and implementing streamlined processes that promote efficiency and impact.
  • Cultural Development Foster an inclusive culture that celebrates inclusion and prioritises values-driven decision-making to drive engagement and belonging across the team.
  • Strategic Communication Build trusted relationships through exceptional communication, influence, and collaboration with internal and external stakeholders.
  • Adaptability & Agility Steer the team through change by modelling resilience, pivoting strategies, and ensuring continuity during uncertain or evolving circumstances.


Qualifications

Required Qualifications

  • Bachelor’s Degree in Business, Operations, Finance, or related field AND 4+ years experience in process management, or process improvement OR equivalent experience.

Preferred Qualifications

  • 5+ years’ experience in event planning and program management
  • Experience in operations, culture strategy, or organisational development
  • Leadership capabilities with a talent for motivating teams and building culture
  • Budget management skills
  • Communication and interpersonal skills
  • Ability to work cross-functionally and influence stakeholders at all levels
  • Analytical mindset with experience in using data for strategic decision-making
  • Comfortable with ambiguity and change, with a proactive and solutions-oriented approach

 



Business Program Management IC4 – The typical base pay range for this role across the U.S. is USD $96,500 – $188,400 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 $123,500 – $206,400 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.

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Redmond, United States

Data Scientist Data Scientist

Location
Redmond, United States
Job Number
200027683-en-1
City
Redmond
Team
Search
Country
United States
Discipline
Data Science
Overview

The Bing organization is looking for a Data and Applied Scientist for its online metric team. The team is pushing the boundaries regarding online A/B experimentation capabilities and methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences, and then translates the insights into actionable metrics. These metrics provide direction to the the Bing and MAI organization and help engineers make the right ship decisions for their thousands of online controlled experiments. 

Hundreds of millions of users visit Bing.com worldwide monthly, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is a great opportunity to make solid, and even multiplicative impact on the org.   

As a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments. Come join us! 

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.



Responsibilities
  • Design, analyze, and interpret A/B online experiments to evaluate user engagement and generate actionable, trustworthy insights that inform product decisions. 
  • Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends. 
  • Develop and monitor key success metrics to measure and improve Bing customer satisfaction, engagement, and retention. 
  • Formulate data-driven strategies to understand correlations among critical Bing metrics and deliver clear, rigorous ship decisions. 
  • Effectively communicate analytical methodologies, data visualizations, and evidence-based recommendations across cross-functional teams to drive alignment and impact.  


Qualifications

Required Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
    • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.


Preferred Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • Experience with SQL-like query languages.
  • Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ .
  • Ability to work independently, influence others, and solid communication and collaboration skills.  
  • Familiarity with search engines, dealing with online instrumentation. 
  • Experience with large datasets and interest in consumer online search behaviors. 
  • Experience with building machine learning models on large scale data. 

#MicrosoftAI #Search #MAI #nextplay 



Data Science IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 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 $131,400 – $215,400 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.

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Data Scientist Data Scientist

Location
Mountain View, United States
Job Number
200027683-en-2
City
Mountain View
Team
Search
Country
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Discipline
Data Science
Overview

The Bing organization is looking for a Data and Applied Scientist for its online metric team. The team is pushing the boundaries regarding online A/B experimentation capabilities and methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences, and then translates the insights into actionable metrics. These metrics provide direction to the the Bing and MAI organization and help engineers make the right ship decisions for their thousands of online controlled experiments. 

Hundreds of millions of users visit Bing.com worldwide monthly, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is a great opportunity to make solid, and even multiplicative impact on the org.   

As a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments. Come join us! 

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.



Responsibilities
  • Design, analyze, and interpret A/B online experiments to evaluate user engagement and generate actionable, trustworthy insights that inform product decisions. 
  • Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends. 
  • Develop and monitor key success metrics to measure and improve Bing customer satisfaction, engagement, and retention. 
  • Formulate data-driven strategies to understand correlations among critical Bing metrics and deliver clear, rigorous ship decisions. 
  • Effectively communicate analytical methodologies, data visualizations, and evidence-based recommendations across cross-functional teams to drive alignment and impact.  


Qualifications

Required Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
    • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.


Preferred Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • Experience with SQL-like query languages.
  • Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ .
  • Ability to work independently, influence others, and solid communication and collaboration skills.  
  • Familiarity with search engines, dealing with online instrumentation. 
  • Experience with large datasets and interest in consumer online search behaviors. 
  • Experience with building machine learning models on large scale data. 

#MicrosoftAI #Search #MAI #nextplay 



Data Science IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 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 $131,400 – $215,400 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.

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Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team

Location
Mountain View, United States
Job Number
200028652-en-1
City
Mountain View
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.  

Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff – Multimodal Infrastructure you would be responsible to  build large-scale infrastructures to support the full cycle of the multimodal generative model development in our innovative products. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI.  

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.  

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, 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.



Responsibilities
  • Design, develop and maintain large-scale multimodal data processing pipelines. 

  • Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks. 

  • Design, develop and maintain large-scale multimodal model inference and serving frameworks. 

  • Work with research scientists and product engineers to solve infra-related problems.   

  • 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.  



Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science, or related technical discipline 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:

  • Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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 equivalent experience
  • Experience in multi-modal data processing:
    • Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations
    • Experience with state-of-art model inference and serving frameworks
    • Experience with image/video/audio data processing
    • Experience with common data formats for efficient I/O 
  • Experience in multi-modal pretraining and post-training:
    • Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed
    • Knowledge of auto-regressive and diffusion transformer models
    • Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism
    • Proven experiences in at least one of the following areas: image/video generation and editing; efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO)
  • Experience in multi-modal inference and serving:
    • Strong proficiency in serving frameworks such as vLLM, TensorRT-LLM, SGLang, xDiT, Cache-DiT etc.
    • Knowledge of distillation techniques such as Progressive Distillation, DMD, Self forcing etc.
    • Knowledge of quantization and compression techniques like AWQ, GPTQ, and FP8 for multi-modal pipelines
    • Experience in distributed inference scaling across multi-node clusters using Ray Serve and Triton
    • Experience in leading technical projects and supporting architectural decisions with data

 



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.

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Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team

Location
Redmond, United States
Job Number
200028652-en-2
City
Redmond
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.  

Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff – Multimodal Infrastructure you would be responsible to  build large-scale infrastructures to support the full cycle of the multimodal generative model development in our innovative products. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI.  

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.  

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, 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.



Responsibilities
  • Design, develop and maintain large-scale multimodal data processing pipelines. 

  • Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks. 

  • Design, develop and maintain large-scale multimodal model inference and serving frameworks. 

  • Work with research scientists and product engineers to solve infra-related problems.   

  • 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.  



Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science, or related technical discipline 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:

  • Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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 equivalent experience
  • Experience in multi-modal data processing:
    • Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations
    • Experience with state-of-art model inference and serving frameworks
    • Experience with image/video/audio data processing
    • Experience with common data formats for efficient I/O 
  • Experience in multi-modal pretraining and post-training:
    • Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed
    • Knowledge of auto-regressive and diffusion transformer models
    • Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism
    • Proven experiences in at least one of the following areas: image/video generation and editing; efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO)
  • Experience in multi-modal inference and serving:
    • Strong proficiency in serving frameworks such as vLLM, TensorRT-LLM, SGLang, xDiT, Cache-DiT etc.
    • Knowledge of distillation techniques such as Progressive Distillation, DMD, Self forcing etc.
    • Knowledge of quantization and compression techniques like AWQ, GPTQ, and FP8 for multi-modal pipelines
    • Experience in distributed inference scaling across multi-node clusters using Ray Serve and Triton
    • Experience in leading technical projects and supporting architectural decisions with data

 



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.

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Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team

Location
New York, United States
Job Number
200028652-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.  

Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff – Multimodal Infrastructure you would be responsible to  build large-scale infrastructures to support the full cycle of the multimodal generative model development in our innovative products. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI.  

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.  

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, 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.



Responsibilities
  • Design, develop and maintain large-scale multimodal data processing pipelines. 

  • Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks. 

  • Design, develop and maintain large-scale multimodal model inference and serving frameworks. 

  • Work with research scientists and product engineers to solve infra-related problems.   

  • 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.  



Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science, or related technical discipline 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:

  • Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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 equivalent experience
  • Experience in multi-modal data processing:
    • Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations
    • Experience with state-of-art model inference and serving frameworks
    • Experience with image/video/audio data processing
    • Experience with common data formats for efficient I/O 
  • Experience in multi-modal pretraining and post-training:
    • Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed
    • Knowledge of auto-regressive and diffusion transformer models
    • Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism
    • Proven experiences in at least one of the following areas: image/video generation and editing; efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO)
  • Experience in multi-modal inference and serving:
    • Strong proficiency in serving frameworks such as vLLM, TensorRT-LLM, SGLang, xDiT, Cache-DiT etc.
    • Knowledge of distillation techniques such as Progressive Distillation, DMD, Self forcing etc.
    • Knowledge of quantization and compression techniques like AWQ, GPTQ, and FP8 for multi-modal pipelines
    • Experience in distributed inference scaling across multi-node clusters using Ray Serve and Triton
    • Experience in leading technical projects and supporting architectural decisions with data

 



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.

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Senior Product Marketing Manager Senior Product Marketing Manager

Location
Redmond, United States
Job Number
200025834-en-1
City
Redmond
Team
Monetization
Country
United States
Discipline
Product Marketing
Overview

Microsoft AI Monetization is building the future of responsible, intelligent monetization—empowering customers, partners, and developers through innovative platforms that are privacy-resilient, data-informed, and deeply customer-centric. Our organization spans a wide range of monetization experiences and infrastructure, including advertising, publisher, measurement, identity, privacy, and CRM/martech solutions.


We are looking for a Senior Product Marketing Manager to join our team and lead customer listening, go-to-market strategy, positioning, and adoption for one or more critical areas within our Publisher and Platform portfolio. This could include products such as Microsoft Clarity, Microsoft Monetize, Microsoft Curate, third-party DSP integrations, privacy and identity solutions, and CRM/martech solutions.
This is a strategic, high-impact role for a seasoned marketer who thrives at the intersection of product, customer, and market. You will partner closely with product management, sales, and marketing teams to shape product direction, craft compelling value propositions, and drive adoption through thoughtful go-to-market execution. You’ll bring clarity to complexity, advocate for customer needs, and help define how Microsoft delivers value to our customers and partners.

If you are passionate about building scalable, customer-centric platforms and want to help shape the future of advertising technology, we’d love to hear from you.

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.



Responsibilities
  • Customer Listening & Market Insights: Lead customer listening strategies and market intelligence efforts to uncover growth opportunities, inform investment priorities, and shape the product roadmap. Partner with field teams to engage directly with clients, synthesize feedback, and translate insights into actionable recommendations. Conduct competitive analysis to assess market dynamics, identify Microsoft’s differentiation, and anticipate business implications. Drive the development of insights from user research, industry trends, and market signals to influence product and business decisions.
  • Product Positioning, Messaging & Value Proposition: Define and evolve differentiated product positioning and value propositions that resonate with customer needs and business outcomes. Develop clear, compelling messaging frameworks supported by proof points and aligned across internal stakeholders. Enable partner teams with client-facing narratives and assets, and contribute to marquee product launches through blog posts, event presentations, and other storytelling formats.
  • Go-to-Market Strategy & Execution: Lead cross-functional v-teams to develop and execute go-to-market strategies that drive product adoption, customer satisfaction, and business impact. Set clear goals and success metrics, and orchestrate marketing and sales motions across channels. Plan and deliver high-impact launch strategies, leveraging key industry moments and first-party events to maximize visibility and engagement.
  • Enablement & Scaling: Ensure internal teams—including Sales, Marketing, and Learning & Development—are equipped with the knowledge and tools to effectively communicate our roadmap, positioning, and value. Lead strategic training sessions and develop scalable enablement materials that drive clarity, confidence, and excitement around product offerings.
  • Growth Mindset & Inclusive Innovation: Champion a culture of continuous learning and inclusive thinking. Proactively seek feedback from diverse customers and stakeholders to uncover new opportunities and reduce bias in AI-driven products. Foster open dialogue, encourage reflection, and ensure all voices are heard in shaping product and marketing strategies.


Qualifications

Required Qualifications:

  • Master’s Degree in in Marketing, Computer Science, Business or related field AND 3+ years experience in business
    • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in business
    • OR equivalent experience.


Preferred Qualifications:

  • Master’s Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business
    • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 8+ years experience in business
    • OR equivalent experience.
  • 3+ years of experience in Product Marketing, Product Management, or similar roles, leading cross-organizational teams and working with Engineering partners.
  • 3+ years of experience in applying different customer listening approaches to inform and influence product development.
  • 3+ years of experience in product positioning and value proposition, with experience in leading differentiated value propositions and translating complex features into compelling narratives.
  • Experience in Advertising, Monetization & Publisher Ecosystems: Committed understanding of the digital advertising landscape—across agency, publisher, or brand perspectives. Experience with publisher platforms and monetization strategies is especially valuable. Familiarity with alternative models such as subscriptions is a plus.
  • Strategic Agility & Adaptability: Demonstrated ability to navigate ambiguity, iterate on new concepts, and respond effectively to changing priorities. Brings a growth mindset, curiosity, and a proactive approach to exploring new ideas and business models.
  • Cross-Functional Collaboration & Influence: Experience working across teams to build alignment, drive shared outcomes, and resolve complex issues. Skilled at fostering solid partnerships and communicating effectively with diverse stakeholders.
  • Analytical & Data-Driven Decision Making: Solid problem-solving skills grounded in data. Able to identify trends, generate hypotheses, and test solutions to inform strategy and scale impact.
  • Go-to-Market Innovation & Category Development: Experience launching disruptive products and driving demand for new or emerging product categories. Skilled in crafting go-to-market strategies that shape market perception and accelerate adoption.
  • AI & Emerging Technology Familiarity: Exposure to generative AI products—professionally or as a power user. Understanding of AI agents and their potential in marketing and advertising scenarios. Awareness of the evolving AI landscape and its implications for monetization. 


#MicrosoftAI #maimonetization



Product Marketing IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 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 $137,600 – $222,600 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.

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Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

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New York, United States

Senior Product Marketing Manager Senior Product Marketing Manager

Location
New York, United States
Job Number
200025834-en-2
City
New York
Team
Monetization
Country
United States
Discipline
Product Marketing
Overview

Microsoft AI Monetization is building the future of responsible, intelligent monetization—empowering customers, partners, and developers through innovative platforms that are privacy-resilient, data-informed, and deeply customer-centric. Our organization spans a wide range of monetization experiences and infrastructure, including advertising, publisher, measurement, identity, privacy, and CRM/martech solutions.


We are looking for a Senior Product Marketing Manager to join our team and lead customer listening, go-to-market strategy, positioning, and adoption for one or more critical areas within our Publisher and Platform portfolio. This could include products such as Microsoft Clarity, Microsoft Monetize, Microsoft Curate, third-party DSP integrations, privacy and identity solutions, and CRM/martech solutions.
This is a strategic, high-impact role for a seasoned marketer who thrives at the intersection of product, customer, and market. You will partner closely with product management, sales, and marketing teams to shape product direction, craft compelling value propositions, and drive adoption through thoughtful go-to-market execution. You’ll bring clarity to complexity, advocate for customer needs, and help define how Microsoft delivers value to our customers and partners.

If you are passionate about building scalable, customer-centric platforms and want to help shape the future of advertising technology, we’d love to hear from you.

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.



Responsibilities
  • Customer Listening & Market Insights: Lead customer listening strategies and market intelligence efforts to uncover growth opportunities, inform investment priorities, and shape the product roadmap. Partner with field teams to engage directly with clients, synthesize feedback, and translate insights into actionable recommendations. Conduct competitive analysis to assess market dynamics, identify Microsoft’s differentiation, and anticipate business implications. Drive the development of insights from user research, industry trends, and market signals to influence product and business decisions.
  • Product Positioning, Messaging & Value Proposition: Define and evolve differentiated product positioning and value propositions that resonate with customer needs and business outcomes. Develop clear, compelling messaging frameworks supported by proof points and aligned across internal stakeholders. Enable partner teams with client-facing narratives and assets, and contribute to marquee product launches through blog posts, event presentations, and other storytelling formats.
  • Go-to-Market Strategy & Execution: Lead cross-functional v-teams to develop and execute go-to-market strategies that drive product adoption, customer satisfaction, and business impact. Set clear goals and success metrics, and orchestrate marketing and sales motions across channels. Plan and deliver high-impact launch strategies, leveraging key industry moments and first-party events to maximize visibility and engagement.
  • Enablement & Scaling: Ensure internal teams—including Sales, Marketing, and Learning & Development—are equipped with the knowledge and tools to effectively communicate our roadmap, positioning, and value. Lead strategic training sessions and develop scalable enablement materials that drive clarity, confidence, and excitement around product offerings.
  • Growth Mindset & Inclusive Innovation: Champion a culture of continuous learning and inclusive thinking. Proactively seek feedback from diverse customers and stakeholders to uncover new opportunities and reduce bias in AI-driven products. Foster open dialogue, encourage reflection, and ensure all voices are heard in shaping product and marketing strategies.


Qualifications

Required Qualifications:

  • Master’s Degree in in Marketing, Computer Science, Business or related field AND 3+ years experience in business
    • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in business
    • OR equivalent experience.


Preferred Qualifications:

  • Master’s Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business
    • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 8+ years experience in business
    • OR equivalent experience.
  • 3+ years of experience in Product Marketing, Product Management, or similar roles, leading cross-organizational teams and working with Engineering partners.
  • 3+ years of experience in applying different customer listening approaches to inform and influence product development.
  • 3+ years of experience in product positioning and value proposition, with experience in leading differentiated value propositions and translating complex features into compelling narratives.
  • Experience in Advertising, Monetization & Publisher Ecosystems: Committed understanding of the digital advertising landscape—across agency, publisher, or brand perspectives. Experience with publisher platforms and monetization strategies is especially valuable. Familiarity with alternative models such as subscriptions is a plus.
  • Strategic Agility & Adaptability: Demonstrated ability to navigate ambiguity, iterate on new concepts, and respond effectively to changing priorities. Brings a growth mindset, curiosity, and a proactive approach to exploring new ideas and business models.
  • Cross-Functional Collaboration & Influence: Experience working across teams to build alignment, drive shared outcomes, and resolve complex issues. Skilled at fostering solid partnerships and communicating effectively with diverse stakeholders.
  • Analytical & Data-Driven Decision Making: Solid problem-solving skills grounded in data. Able to identify trends, generate hypotheses, and test solutions to inform strategy and scale impact.
  • Go-to-Market Innovation & Category Development: Experience launching disruptive products and driving demand for new or emerging product categories. Skilled in crafting go-to-market strategies that shape market perception and accelerate adoption.
  • AI & Emerging Technology Familiarity: Exposure to generative AI products—professionally or as a power user. Understanding of AI agents and their potential in marketing and advertising scenarios. Awareness of the evolving AI landscape and its implications for monetization. 


#MicrosoftAI #maimonetization



Product Marketing IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 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 $137,600 – $222,600 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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

Mountain View, United States

Senior Product Marketing Manager Senior Product Marketing Manager

Location
Mountain View, United States
Job Number
200025834-en-3
City
Mountain View
Team
Monetization
Country
United States
Discipline
Product Marketing
Overview

Microsoft AI Monetization is building the future of responsible, intelligent monetization—empowering customers, partners, and developers through innovative platforms that are privacy-resilient, data-informed, and deeply customer-centric. Our organization spans a wide range of monetization experiences and infrastructure, including advertising, publisher, measurement, identity, privacy, and CRM/martech solutions.


We are looking for a Senior Product Marketing Manager to join our team and lead customer listening, go-to-market strategy, positioning, and adoption for one or more critical areas within our Publisher and Platform portfolio. This could include products such as Microsoft Clarity, Microsoft Monetize, Microsoft Curate, third-party DSP integrations, privacy and identity solutions, and CRM/martech solutions.
This is a strategic, high-impact role for a seasoned marketer who thrives at the intersection of product, customer, and market. You will partner closely with product management, sales, and marketing teams to shape product direction, craft compelling value propositions, and drive adoption through thoughtful go-to-market execution. You’ll bring clarity to complexity, advocate for customer needs, and help define how Microsoft delivers value to our customers and partners.

If you are passionate about building scalable, customer-centric platforms and want to help shape the future of advertising technology, we’d love to hear from you.

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.



Responsibilities
  • Customer Listening & Market Insights: Lead customer listening strategies and market intelligence efforts to uncover growth opportunities, inform investment priorities, and shape the product roadmap. Partner with field teams to engage directly with clients, synthesize feedback, and translate insights into actionable recommendations. Conduct competitive analysis to assess market dynamics, identify Microsoft’s differentiation, and anticipate business implications. Drive the development of insights from user research, industry trends, and market signals to influence product and business decisions.
  • Product Positioning, Messaging & Value Proposition: Define and evolve differentiated product positioning and value propositions that resonate with customer needs and business outcomes. Develop clear, compelling messaging frameworks supported by proof points and aligned across internal stakeholders. Enable partner teams with client-facing narratives and assets, and contribute to marquee product launches through blog posts, event presentations, and other storytelling formats.
  • Go-to-Market Strategy & Execution: Lead cross-functional v-teams to develop and execute go-to-market strategies that drive product adoption, customer satisfaction, and business impact. Set clear goals and success metrics, and orchestrate marketing and sales motions across channels. Plan and deliver high-impact launch strategies, leveraging key industry moments and first-party events to maximize visibility and engagement.
  • Enablement & Scaling: Ensure internal teams—including Sales, Marketing, and Learning & Development—are equipped with the knowledge and tools to effectively communicate our roadmap, positioning, and value. Lead strategic training sessions and develop scalable enablement materials that drive clarity, confidence, and excitement around product offerings.
  • Growth Mindset & Inclusive Innovation: Champion a culture of continuous learning and inclusive thinking. Proactively seek feedback from diverse customers and stakeholders to uncover new opportunities and reduce bias in AI-driven products. Foster open dialogue, encourage reflection, and ensure all voices are heard in shaping product and marketing strategies.


Qualifications

Required Qualifications:

  • Master’s Degree in in Marketing, Computer Science, Business or related field AND 3+ years experience in business
    • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in business
    • OR equivalent experience.


Preferred Qualifications:

  • Master’s Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business
    • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 8+ years experience in business
    • OR equivalent experience.
  • 3+ years of experience in Product Marketing, Product Management, or similar roles, leading cross-organizational teams and working with Engineering partners.
  • 3+ years of experience in applying different customer listening approaches to inform and influence product development.
  • 3+ years of experience in product positioning and value proposition, with experience in leading differentiated value propositions and translating complex features into compelling narratives.
  • Experience in Advertising, Monetization & Publisher Ecosystems: Committed understanding of the digital advertising landscape—across agency, publisher, or brand perspectives. Experience with publisher platforms and monetization strategies is especially valuable. Familiarity with alternative models such as subscriptions is a plus.
  • Strategic Agility & Adaptability: Demonstrated ability to navigate ambiguity, iterate on new concepts, and respond effectively to changing priorities. Brings a growth mindset, curiosity, and a proactive approach to exploring new ideas and business models.
  • Cross-Functional Collaboration & Influence: Experience working across teams to build alignment, drive shared outcomes, and resolve complex issues. Skilled at fostering solid partnerships and communicating effectively with diverse stakeholders.
  • Analytical & Data-Driven Decision Making: Solid problem-solving skills grounded in data. Able to identify trends, generate hypotheses, and test solutions to inform strategy and scale impact.
  • Go-to-Market Innovation & Category Development: Experience launching disruptive products and driving demand for new or emerging product categories. Skilled in crafting go-to-market strategies that shape market perception and accelerate adoption.
  • AI & Emerging Technology Familiarity: Exposure to generative AI products—professionally or as a power user. Understanding of AI agents and their potential in marketing and advertising scenarios. Awareness of the evolving AI landscape and its implications for monetization. 


#MicrosoftAI #maimonetization



Product Marketing IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 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 $137,600 – $222,600 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.

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