The Ads Data Platform Team, part of Microsoft AI (Artificial Intelligence), is hiring a Senior Software Engineer. 

This role is available in Redmond, WA.

Our team powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale. If you’re passionate about solving complex problems and driving innovation, this is the place for you. 

As part of our team, you’ll: 

• Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines.
• Build data applications that directly impact Microsoft Ads’ double-digit annual growth.
• Work on cutting-edge technologies in distributed systems, machine learning, and big data. 

Why join us? 

• Online advertising is one of the fastest-growing businesses on the Internet, with $70B of a $600B market already online—and we’re just getting started.
• You’ll tackle technical challenges that demand computational intelligence, scalable algorithms, and interdisciplinary expertise across data mining, optimization, and economics.
• Be part of a results-driven, inclusive culture where your ideas matter and your work create measurable business 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.

• Work with BingAds stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements.
• Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions.
• Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects. Reviews code of product to assure it meets the team’s and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.
• Maintain operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary. Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners.
• Build knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features. Contribute to the development of automation within production and deployment of a product feature.
• Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.

Required Qualifications:

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

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 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.
• Experience in Azure. 
• Experience in Machine learning and online system design, implementation and qualification. 
• 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.

#MicrosoftAI #MicrosoftAds #BingAds #BigData

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.

Are you passionate about designing intuitive, AI‑powered experiences that help people discover, navigate, and make decisions about the physical world? Do you thrive at the intersection of user experience, data, and technology—turning ambiguous problems into clear, impactful products?

The Bing/Search Places team is reimagining how users explore and connect with places through search, maps, and AI‑driven experiences across Microsoft’s ecosystem. We’re looking for a Senior Product Manager with consumer product and UX instincts who can shape product direction through discovery and drive execution from concept to launch, owning outcomes end‑to‑end.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

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

• Own and evolve end‑to‑end user experiences for Places and Maps scenarios, from problem definition through launch and iteration.
• Deeply understand customer pain points and lead product discovery through user research, data analysis, and partner feedback, translating insights into clear product bets.
• Partner closely with Design, Research, and Engineering to define intuitive user experiences and drive them to delivery.
• Define roadmaps and success metrics, breaking down ambiguous problems into shippable milestones and iterating based on learning.
• Use experimentation to validate hypotheses and inform prioritization and tradeoffs.
• Communicate product direction and outcomes clearly, influencing cross‑functional and cross‑org partners without direct authority.
• Balance long‑term vision with near‑term execution, making pragmatic decisions that maximize customer impact.
• Model Microsoft’s culture and values, fostering inclusiveness, collaboration, and continuous improvement.

Required Qualifications:

• Bachelor’s Degree AND 5+ years experience in product/service/program management or software development
  • 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:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 5+ years of product management experience, building and shipping software products
  • OR equivalent experience.
• Experience with consumer‑facing products, such as search, web, or maps.
• Experience owning product areas end-to-end, from problem definition through launch and iteration.
• 8+ years of product management experience.
• Experience with AI or AI-powered experiences.
• Proven track record of delivering meaningful customer impact.
• Experience creating and communicating product vision, influencing stakeholders, and driving alignment across teams.

#MicrosoftAI #MAI #Search #Places

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

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

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

The Microsoft Commerce team is at the forefront of defining how AI‑native shopping comes to life, shaping how Copilot helps people discover, decide, and take action. We are pioneering the future of AI shopping by building intelligent, trusted experiences that redefine commerce and shopping across Microsoft surfaces. 

As a Principal Product Manager, you’ll be responsible for understanding user and business needs, defining clear requirements, and driving execution across engineering, design, and partner teams. You set strategy, align stakeholders, manage delivery through launch and iteration, and ensure outcomes are measurable, high‑quality, and scalable.  

In this role, you will learn how to operate lean teams that obsess over users, make high‑quality decisions grounded in evidence, and ship continuously. You’ll develop the ability to move quickly from insight to impact, delivering real, immediate value to users. As the AI landscape evolves at an unprecedented pace, you’ll gain hands‑on experience working at the center of that transformation, building products at the heart of how AI is reshaping the world.  

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.

• You will influence others to drive business impact across the organization and track success criteria for multiple feature areas across divisions. You’ll also be an expert in identifying long-term investment opportunities and engaging partners to garner support for those feature areas. 
• Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.  
• You will define a feature set and facilitate senior-level usability reviews with customers. You’ll own the roadmap for multiple feature areas across divisions, and will collaborate with a partner team to build golden configurations and drive scenario walkthroughs. 
• Enjoy working in a fast-paced, customer-first, product development cycle.  
• As an expert, you will partner with others to collect performance metrics and form hypotheses for complex technical needs in order to improve product development in multiple areas. You’ll also identify features to deprecate, manage customer communities, and build trust with targeted customers across sectors. 

Required Qualifications:

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

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI 
• 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript). 
• Depth in experimentation and measurement (A/B testing, causal inference, learning outcomes, cohort analysis).  
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.    

#MicrosoftAI 

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.

• Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.
• Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.
• Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).
• Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.
• Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
• Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.
• Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.

Required Qualifications

• 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.

Preferred Qualifications

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

Software Engineering 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

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.

Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive! 

MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced Principal Data Scientist to join our Growth and Analytics team. 

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.

• Partner with stakeholders as a trusted thought partner to drive data-informed business decisions and strategic planning.
• Collaborate with cross-functional teams to define features, estimate initiative impact, and support engagement and revenue growth through analytics.
• Build forecasting solutions and time-series models to project engagement, traffic, and revenue, and support scenario planning.
• Analyze large-scale data to identify trends, user behavior patterns, and content performance insights that improve product quality and recommendations.
• Develop dashboards, reporting tools, and automated monitoring to track business health and compare actual performance against forecast.
• Build metric frameworks to detect anomalies, diagnose root causes, and provide timely insights when key business metrics shift.
• Conduct business modeling to identify growth opportunities, evaluate trade-offs, and prioritize initiatives with solid long-term ROI.
• Design and analyze A/B tests to measure incremental impact, evaluate algorithm changes, and guide iterative improvements.
• Apply predictive modeling, time-series analysis, and experimentation methods to improve forecasting accuracy and business performance.
• Communicate insights, forecasts, and recommendations clearly to technical and non-technical stakeholders to support informed decision-making.

Required Qualifications:

• Doctorate 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 Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ 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 10+ 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 8+ years 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 7+ years of experience in data science, statistical modeling, business analytics, forecasting, or data-driven strategy.
• Experience in product, web, and/or content analytics, with the ability to connect user behavior to business outcomes.
• Solid communication and storytelling skills, with the ability to translate complex analyses into clear business recommendations.
• Proven ability to manage stakeholders, prioritize effectively, and deliver actionable, data-driven insights.
• Experience working with large-scale event-level data and transforming raw data into metrics, dashboards, and analytical solutions using PySpark, Scala, or similar tools.
• Familiarity with content ecosystems, advertising, online shopping metrics, and the key drivers of engagement and monetization.

#MicrosoftAI 

Data Science 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.

The Edge browser is a strategic product and a key entry point to Microsoft’s new AI ecosystem serving hundreds of millions of users daily.

The Edge Engineering System team is looking for exceptional engineers to help us streamline our engineering workflows and enable our development team to develop high-quality code at light speed. We build modern, AI-first engineering workflows and ensure that our releases are regular, timely, and automatic. 

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.

• AI-Native Development
  • Uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.
• Coding
  • Uses debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production. Conducts incident retrospectives and identifies root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence with minimal supervision. Under minimal guidance, applies least-access principles, and uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security.
  • Reviews product feature code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product feature. Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers’ skills with minimal guidance. Reviews code in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews. 
• Design
  • Understands and provides feedback for proposals for architecture, with technical leadership from others. With minimal supervision, tests and explores various design options for a product/solution feature, outlining strengths and weaknesses of each option. Owns or collaborates with other engineers on the architecture of solutions, following technical leadership as applicable. Contributes to the development of design documents that support user stories and other product requirements with oversight. Develops an awareness of the current technology landscape. Escalates and shares findings from investigations with the team and owns some design decisions. Helps to ensure system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands the importance of building solutions that expand upon the work of others. Contributes to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products.
  • Creates a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code with minimal supervision. Executes test plans that incorporate security testing to validate security invariants (including negative cases) with minimal supervision. Adds new tests to cover gaps, deleting or fixing broken tests, improving the speed, reliability, and defect localization of tests in the feature area. Builds testable code and considers testability during design for a set of features with minimal guidance. Understands the different types of tests that can be done on a particular system (e.g., unit tests), and maintains up-to-date understanding of testing architectures used both across Microsoft and across the industry. 
  • Identifies dependencies and incorporates them into the development of design documents for a product area with little oversight. Actively identifies other teams and technologies to leverage, how they interact, and where their own system or team can support others. Understands downstream interactions between systems. Contributes to collaborating with other teams to reach common goals where dependencies and validation concerns overlap.
• Engineering Excellence
  • Contributes to the identification of requirements for, and development of automation within production and deployment of a complex product feature, targeting zero-touch deployment when possible. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight.
  • Applies best practices to build code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Follows best practices for product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and security promises.
  • Ensures the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Checks for visible evidence (e.g., audit trail) to demonstrate compliance for product areas. Develops and holds an understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft. Demonstrates and maintains an up-to-date understanding of both global and local regulations for technologies and system applications to ensure regulations are met.
• Implement
  • Reviews work items to deepen knowledge of product features in partnership with appropriate stakeholders (e.g., technical program managers) and executes project plans, release plans, and work items. Contributes to efforts to break down larger work items into smaller work items and providing estimation. Escalates issues that might cause a delay. Ensures required security protections and detection processes are accounted for in planning with minimal guidance. Contributes to ensuring project plans adhere to security, privacy, and compliance requirements. Ensures all code for a set of product/solution features is properly flighted for quicker mitigation of production incidents with minimal supervision. Calculates capacity for planning, accounting for appropriate failover and backup/restore mechanisms for disaster recovery for a set of features with minimal guidance. Makes considerations for efficient operation of a set of features after it is live with minimal supervision. Contributes to establishing a rollback plan for a set of features.
  • Learns about and supports deployment to customers by following the correct measures to push features out to customers. Follows safe change deployment practices (e.g., ensuring that flights are set correctly) for their team to minimize adverse impact to users and other services with managerial guidance. Learns about and applies best practices for the deployment of features safely with managerial oversight and/or guidance from more experienced peers. Contributes to monitoring dependency status and ensuring that only the latest, secure versions are deployed. Identifies when rollback plans should be enacted for a product feature with direct supervision. Contributes to building deployment infrastructure to allow developers’ private builds for a product feature to be tested in a production-like environment.
  • Leveraging internal experimentation infrastructures, conducts experiments that determine the impact of changes, using feature flags/flighting in their code. Collaborates with internal partners (e.g., Data Science, product managers) to incorporate success and guard rail metrics for experimentation with minimal guidance.
• Reliability and Supportability
  • Maintains operations of live site service, following security best practices when responding quickly to mitigate issues while using the minimum required permissions to do so that arise on a rotational, on-call basis. Identifies solutions and mitigations to simple issues and complex issues when applicable impacting performance or functionality of live site services and escalates appropriately. With minimal supervision, improves troubleshooting guides (TSGs), wikis, tests, and telemetry to make on-call better, and recommends user-facing support documentation and additional test coverage to reduce likelihood of future user-initiated incidents. Contributes to enabling secure operations, security monitoring, and integration with live site investigation activities with minimal oversight. Identifies and proposes opportunities (e.g., lunch talks, automation, practices, tools) that can be leveraged to improve the live site experience with minimal guidance.
  • Identifies areas to contribute to efforts to integrate logging and instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms, and for allowing monitoring and investigating security-related concerns and scenarios for both live and A/B experiments for products, services, and offerings. Leverages telemetry feedback and effectiveness to contribute to improving subsequent monitoring designs with minimal guidance. Contributes to efforts to classify and analyze data with little oversight on a range of metrics (e.g., health of the system, where bugs might be occurring), and helps to create outputs (e.g., notifications, dashboards) that improve monitoring and investigating security-related concerns and scenarios, system monitoring and/or issue identification and mitigation. Considers the privacy implications of telemetry code changes and adding new data points with minimal guidance.
  • Acts as a designated responsible individual (DRI), working on-call to monitor a system/product feature/service for degradation, downtime, or interruptions. Alerts stakeholders as to the status and gains approval to restore system/product/service for simple problems. Responds within service level agreement (SLA) timeframe. Escalates issues to appropriate owners.
• Understand User Requirements
  • Works with appropriate internal stakeholders (e.g., product manager, privacy/security subject matter expert, technical lead) to understand and determine customer/user requirements for a set of features. Incorporates customer insights into future designs or solution fixes with minimal supervision. Incorporates unwritten requirements, such as appropriate continuous feedback loops that measure actionable, quantitative (e.g., customer value, usage patterns, solution performance) and qualitative (e.g., accessibility, globalization) indicators of value. Understands, and begins providing feedback on, and advocating for the security and privacy needs of the customer who will be using the set of features.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Go 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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Go 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++, Go or Python
  • OR equivalent experience.
• 2+ years of experience contributing to Chromium and/or open-source projects built using Ninja-based build systems.

#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.

We are looking for a highly skilled front-end Engineer for MSAN Ads UX products to drive user experience innovation. This role sits at the intersection of advertising domain expertise, modern frontend engineering, and applied AI, with a solid focus on building intuitive, scalable, and intelligent consumer experiences.

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.

• Contribute to MSAN Ads UX product and initiatives, partner with PM, UX designers, and dependency teams to turn ambiguous problem spaces into clear, intuitive user experiences.
• Build high‑performance, scalable frontend solutions using modern web technologies.
• Operationalize AI within frontend engineering to improve productivity.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Solid proficiency in front-end skills and modern frontend frameworks such as React (or equivalent).
• Experience building large‑scale, modular frontend systems and reusable UX components.
• Solid understanding of performance optimization, accessibility (a11y), and cross‑browser compatibility.
• Experience collaborating with backend APIs and working in service‑oriented architectures.
• Experience integrating AI/ML‑powered features into user experience
• Understanding of human‑AI interaction: prompt design, trust, explainability, and usability.
• Ability to translate AI capabilities into practical, intuitive Ads UX scenarios.

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 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

#MicrosoftAI 

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.

Business 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.

• Drive building world-class AI applications that will delight consumers and deliver business results.
• Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
• 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, customer-first, product development cycle.
• Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.
• Define goals and performance indicators, set up and oversee experiments, measure success with data and research.
• Embody our Culture and Values.

Required Qualifications:

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

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 7+ years of experience building Ads products
• 5+ years of building AI consumer products
• 5+ years of experience in monetization products and B2B
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI.
• 5+ years experience delivering products that include full Search and/or Advertising technology stack.
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).

#MicrosoftAI

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.

• Drive building world-class AI applications that will delight consumers and deliver business results.
• Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
• 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, customer-first, product development cycle.
• Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.
• Define goals and performance indicators, set up and oversee experiments, measure success with data and research.
• Embody our Culture and Values.

Required Qualifications:

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

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 7+ years of experience building Ads products
• 5+ years of building AI consumer products
• 5+ years of experience in monetization products and B2B
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI.
• 5+ years experience delivering products that include full Search and/or Advertising technology stack.
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).

#MicrosoftAI

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.