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Redmond, United States

Senior Product Manager, Copilot AI Senior Product Manager, Copilot AI

Location
Redmond, United States
Job Number
200026430-en-2
City
Redmond
Team
Copilot
Country
United States
Discipline
Product Management
Overview
Microsoft AI is pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. As a small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.
 
Microsoft AI is pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. As a small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.
 
We’re looking for a Senior AI Product Manager who will drive Copilot model capabilities such as tool-use to ensure that the language models that power Microsoft Copilot deliver high quality responses to our users whilst being grounded, reliable, and cost-efficient. You will work at the nexus of product and research, driving execution in partnership with engineers, language engineers, data scientists and researchers. We’re looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
 
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
  • Develop and execute on LLM platform strategy for Copilot that extend language model’s capabilities.
  • Prototype approaches by steering language models to drive response quality across a wide range of scenarios.
  • Identify and prioritize platform, orchestration and language model issues that impact quality, factuality and safety and working with engineers and researchers to find a path to resolution.
  • Define and build measurable evaluations with relevant datasets to demonstrate quality improvements.
  • Define, deploy and manage experiments in production that impact language model’s tool use, driving measurable improvements in relevance for and engagement with Copilot users.
  • Partner with product teams to scale tool building and work with inference, agents and orchestration teams to resolve dependencies.
  • Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery. 


Qualifications
Required Qualifications
  • Bachelor’s Degree AND 5+ years experience in product management OR equivalent experience.
  • 3+ years of experience leading ambiguous product areas, defining requirements, developing roadmaps, and working with multi-disciplinary teams to execute them.
  • 2+ years of experience building ML-powered or LLM-powered products.
  • Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI), embeddings, vector databases, and tool use.
  • Hands-on experience with prompt design, context window management, and model evaluation.
 


Product Management 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

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


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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Machine Learning Engineering Manager – AI Insights Machine Learning Engineering Manager – AI Insights

Location
Redmond, United States
Job Number
200007740-en-2
City
Redmond
Team
Data, Security & Privacy
Country
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Discipline
Software Engineering
Overview
As a Machine Learning Engineering Manager, you will work on developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a experienced Engineering Manager with solid hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. We’re looking for someone with experience leading product development leveraging data pipelines, data science, and machine learning, as well as a solid communicator and great teammate. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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
  • Lead and mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.
  • Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
  • Prototype and productionize ML models for anomaly detection and predictive insights.
  • Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
  • Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
  • Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability scalability, and cost efficiency.
  • Hav solid experience in ML systems, anomaly detection, and large-scale data processing.
  • Generalize machine learning (ML) solutions into repeatable frameworks.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
  • Be hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.


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.

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.
  • Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
  • Experience writing production-quality Python or Java code
  • Demonstrated interest in Responsible AI.

#MicrosoftAI



Software Engineering M5 – 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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Machine Learning Software Engineer Machine Learning Software Engineer

Location
Redmond, United States
Job Number
200008102-en-2
City
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Team
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Country
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Discipline
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Overview
As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations. n developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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
  • Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
  • Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
  • Develop secure, compliant workflows for handling production logs and conversation data.
  • Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
  • Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
  • Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
  • Prototype and productionize ML models for anomaly detection and predictive insights.
  • Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
  • Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
  • Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.


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.

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.
  • Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
  • Demonstrated interest in Responsible AI.

#MicrosoftAI



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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Principal Machine Learning Engineer Principal Machine Learning Engineer

Location
Redmond, United States
Job Number
200008111-en-2
City
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Team
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Country
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Discipline
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Overview
As a Principal Machine Learning Engineer, you will work on the Data Labeling and classification on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines. We’re looking for someone with experience in data pipelines, data science, and machine learning, as well as a strong communicator and great teammate. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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
  • Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
  • Generalize machine learning (ML) solutions into repeatable frameworks.
  • Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
  • Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
  • Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.


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.

Preferred Qualifications:

  • 7+ years’ experience writing production-quality Python or Java or Scala code.
  • 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
  • 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
  • Demonstrated interest in Responsible AI.
  • Experience prompting, evaluating, and working with large language models.

#MicrosoftAI 



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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Small Medium Business (SMB) Demand Planner Small Medium Business (SMB) Demand Planner

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200025781-en-1
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Overview

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.



Responsibilities
  • 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.


Qualifications

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.

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Are you passionate about building infrastructure that powers billions of ad impressions daily? Join us to shape the backbone of a rapidly growing ad platform—where scale, reliability, and data-driven innovation are at the heart of everything we do.

As a Principal Software Engineer on the Bing Ads team, you will be responsible for designing and developing near real-time services, preparing data stores, and integrating them with other ad-serving components. Collaboration between and across teams is essential part of this role, as you will engage with partners to meet mutual objectives. This role will enable you to gain insights into the Bing ad serving platform, collaborate closely with data scientists, and develop expertise in working with individuals responsible for different components of the ad infrastructure. You will have the opportunity to grow your skills, learn from industry experts, and continuously expand your knowledge in a dynamic and innovative environment. This role allows flexible working hours with partial work from home.

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 independently implement high-performance solutions across teams while maintaining a quality checklist. You’ll also create and monitor telemetry data and influence analytics to better identify patterns that reveal errors and unexpected problems.
  • You will lead by example and mentor others to produce extensible and maintainable code used across products. You will spearhead efforts to optimize, debug, refactor, and reuse code to improve performance, maintainability, effectiveness, and return on investment (ROI).
  • You will oversee the design and development of products, identifying other teams and technologies that will be leveraged, how they will interact, and when your system may provide support to others. You will lead efforts to determine back-end dependencies associated with the product, ensuring appropriate security and performance, driving reliability in the solutions, and optimizing dependency chains for the solution.
  • You will respond to incidents and complex issues by identifying and troubleshooting the issue, deploying the appropriate fixes, and implementing automations to prevent recurring issues. You’ll also follow prescriptive guidance for security, privacy, and compliance standards.
  • You will collaborate within and across teams by proactively and systematically sharing information. You’ll also resolve conflicts across teams and engage with partners to meet mutual objectives.
  • You will improve the development and operations of related sets of systems, platforms, or products by sharing insights and best practices. You will achieve this by continuously enhancing your understanding of insights and best practices, optimizing, debugging, refactoring, and reusing code to improve performance, maintainability, effectiveness, and return on investment (ROI), as well as by mentoring other engineers.


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#, Java, C, C++, Python or JavaScript
    • OR equivalent experience.
  • 4+ years technical experience working with large-scale cloud or distributed data systems.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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#, Java, C, C++, Python or JavaScript
    • OR 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#, Java, C, C++, Python or JavaScript
    • OR equivalent experience. 
  • 8+ years technical experience in software development, service engineering, or systems engineering.
  • 3+ years experience in data science, data modeling, or data engineering.

#MicrosoftAI #cloud #bigdata #bingads



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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Job Number
200026683-en-1
City
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Team
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Discipline
Technical Program Management
Overview

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.



Responsibilities
  • 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. 


Qualifications

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.

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Member of Technical Staff, Software Co-Design AI HPC Systems – MAI Superintelligence Team Member of Technical Staff, Software Co-Design AI HPC Systems – MAI Superintelligence Team

Location
Redmond, United States
Job Number
200025826-en-2
City
Redmond
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Our team’s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost. Our work spans today’s frontier AI workloads and directly shapes the next generation of accelerators, system architectures, and large-scale AI platforms. We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures. 

This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale. 

In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate. 

Microsoft Superintelligence Team
Microsoft Superintelligence team’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. This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!  
 
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
  • Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. 

  • Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. 

  • Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. 

  • Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. 

  • Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. 

  • Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. 

  • Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. 

  • Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization. 



Qualifications

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.
Additional or 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.
  • Strong background in one or more of the following areas:
    • AI accelerator or GPU architectures
    • Distributed systems and large-scale AI training/inference 
    • High-performance computing (HPC) and collective communications 
    • ML systems, runtimes, or compilers
    • Performance modeling, benchmarking, and systems analysis 
    • Hardware–software co-design for AI workloads
  • Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.   
  • Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders.
     
  • Experience designing or operating large-scale AI clusters for training or inference.  
  • Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications.  
  • Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand).  
  • Background in performance modeling and capacity planning for future hardware generations.  
  • Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews.  
  • Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.  


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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Principal Software Engineer Principal Software Engineer

Location
Redmond, United States
Job Number
200025481-en-1
City
Redmond
Team
Monetization
Country
United States
Discipline
Software Engineering
Overview

Do you enjoy solving complex technical problems on a global scale? Microsoft AI Monetization is building the next generation of privacy‑preserving measurement and data collaboration systems. As digital advertising evolves, advertisers need accurate, privacy‑safe ways to understand performance and optimize spend. The Measurement & Data Collaboration Engineering team delivers secure, compliant technology that enables data collaboration without compromising user trust. As Principal Software Engineer, Microsoft AI Monetization, you will architect and build the most impactful systems to achieve this mission while demonstrating excellence to elevate your team as a technical leader. 

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
  • Architect and build highly scalable backend services and data pipelines that support privacy‑preserving measurement and analytics scenarios using C# or Java. 
  • Design secure data collaboration workflows across multiple parties using modern privacy technologies, governance controls, and minimum‑aggregation protections. 
  • Lead engineering direction for high‑reliability ingestion and processing systems with clear SLOs, solid resiliency, and top‑tier operational excellence.  
  • Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation.  
  • Champion engineering quality: design reviews, automated testing, monitoring/alerting, and production readiness.  
  • Mentor and guide engineers across the team, strengthening system design depth, architectural thinking, and execution rigor.  
  • Collaborate closely with product, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities.  
  • Guide the ENG team with best practices leveraging AI dev tools across the software development lifecycle (SDLC). 


Qualifications

Required:

  • 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.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.


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.
  • 7+ years of experience building and operating large‑scale distributed systems, backend services, or data platforms. 
  • Expertise in cloud infrastructure (Azure, AWS, or GCP), including service design, storage, compute, networking, application and network security, and CI/CD pipelines.  
  • Demonstrated leadership driving technical architecture, cross‑team execution, and mentoring senior engineers.  
  • Experience with secure data processing, privacy‑preserving techniques, access control, or data governance. 
  • Background in advertising, marketing technology, attribution, or large‑scale analytics. 
  • Familiarity with privacy‑enhancing technologies such as differential privacy, minimum aggregation, or secure computation patterns. 
  • Experience integrating third‑party (vendor/partner) platforms, identity systems, or data collaboration technologies. 


#MicrosoftAI 



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 Software Engineer Senior Software Engineer

Location
Redmond, United States
Job Number
200025492-en-1
City
Redmond
Team
Monetization
Country
United States
Discipline
Software Engineering
Overview

Do you enjoy solving complex technical problems on a global scale? Microsoft AI Monetization enables advertisers to measure impact and optimize spend through secure, privacy‑preserving data collaboration. The Measurement and Data Collaboration Engineering team is responsible for building the next generation of privacy‑safe measurement systems that allow advertisers and partners to work with data in highly secure environments. Our platform integrates Microsoft’s Azure Confidential Compute Clean Room (ACCR) with third‑party clean room partners to deliver a unified, compliant, and scalable measurement ecosystem.  

We are looking for a Senior Software Engineer who is passionate about distributed systems, privacy‑enhancing technologies, secure data processing, and building reliable production services with global impact.  

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 and build highly scalable backend services and data pipelines that support privacy‑preserving measurement and analytics scenarios using C# or Java. 
  • Design secure data collaboration workflows across multiple parties using modern privacy technologies, governance controls, and minimum‑aggregation protections. 
  • Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation.  
  • Lead initiatives to make delivery of high-quality software routine and efficient through the entire software development lifecycle, from inception and technical design through testing and excellence in production operations.  
  • Collaborate closely with product, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities.  
  • Contribute to engineering team best practices leveraging AI dev tools across the software development lifecycle (SDLC). 


Qualifications

Required:

  • 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. 

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred:

  • 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.
  • 5+ years of experience building and operating large‑scale distributed systems, backend services, or data platforms.  
  • Experience with large‑scale data processing frameworks (e.g. Spark, SQL‑based pipelines) and cloud platforms.   
  • Understanding of secure data processing, encryption, identity, and access control. 
  • Experience building and operating services with strict SLAs. 
  • Experience with Azure.  
  • Background in advertising, marketing technology, attribution, or large‑scale analytics.  
  • Experience integrating third‑party (vendor/partner) platforms, identity systems, or data collaboration technologies. 
  • Solid problem‑solving skills with a focus on reliability, observability, and system design. 

 

#MicrosoftAI 



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.

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