Shape the future of AI-powered search and help billions of users find answers instantly. The Bing GenAI team, part of Microsoft AI  is at the epicenter of Microsoft’s AI transformation, creating the intelligent systems and beautiful interfaces that power Microsoft Copilot, Bing generative answers, and next-generation search experiences. As a full stack engineer, you’ll have the unique opportunity to work across the entire technology stack, from high-performance backend services to stunning user interfaces. 

As a Full Stack Software Engineer on this team, you will work across both backend and frontend systems to deliver end-to-end features for Copilot and Bing. On the backend, you’ll work on building modern C#-based service layers, high-performance distributed systems and prompt engineering. On the frontend, you’ll build beautiful, responsive experiences using server-side and client-side frameworks. This opportunity will allow you to accelerate your career as a versatile engineer, develop deep expertise across the full technology stack, and gain hands-on experience shipping AI-powered features to billions of users.

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.

• Works with appropriate stakeholders to determine user requirements for a set of features. 
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight. 
• Creates and implements code for a product, service, or feature, reusing code as applicable. 
• Contributes to efforts to break down larger work items into smaller work items and provides estimation. 
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems. 
• Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

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.

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.
• Experience with C# and .NET development for backend services. 
• Experience with React or similar modern JavaScript frameworks. 
• Experience with native mobile application development (iOS with Swift and/or Android with Kotlin). 
• Familiarity with AI/ML concepts, large language models, or prompt engineering. 

#MicrosoftAI 

Software Engineering IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 – $215,400 per year.

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

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

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

Are you ready to make a global impact that has visible impact on consumers? Join Bing Multimedia AIGC (AI Generated Content) team at Microsoft, where we experiment, learn and deliver rich creation experiences to consumers worldwide. As part of Microsoft AI, our team is taking a giant step in advancing and incorporating AI into our search experience, delivering new and exciting AI creation features withe state-of-the-art models. There is no limit to creativity in our work, at a scale and reach that is unmatched.

As a Senior Applied Scientist in Bing Multimedia AIGC team, you will help us to build and improve AIGC experiences on Bing, that are extensible and usable on other Windows products, including Copilot. You will research and develop an understanding of metrics, tools, data workflows, hill-climbing methods used to measure AIGC’s success metric, and deep analysis of our product quality to inform strategic business directions. Together with our business owners, you will be challenged with defining the best business measurement methodology to prove a working business model for how Search and Creations integrate as one product. You will also have the opportunity to fine-tune optimizations for our creation models.

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.

• Leverages data analysis knowledge to clean, transform, analyze, integrate, and organize data to the level required by the analysis techniques selected. Develops useable datasets for modeling purposes. Scales the feature ideation and data preparation. Takes cleaned or raw data and adapts data that for machine learning purposes. Uses understanding of which features are important that come out of the model and identifies the optimal features. Identifies gaps in current datasets and drives onboarding of new datasets. Works with team to optimize signal system design. Identifies gaps in current datasets and drives onboarding of new datasets (e.g., bringing on third-party datasets).
• Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared and guides team to do so. Influences the direction of the team. Establishes the pipeline so that the team can conduct all of their experiments and data processing. Uses data pipelines for training, as well as for shipping models which should execute correctly.
• Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact. Takes initiative and drives activities such as technology transfers attempts, standards organizations, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups. May publish research to promote receiving new intellectual property for business impact.
• Independently works to create product impact. Identifies approach, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact a Microsoft product. Designs an approach to solve significant business problems shared by a senior team member. May publish research to promote receiving new intellectual property for product impact.
• Performs documentation of work in progress, experimentation results, plans, etc. Documents scientific work to ensure process is captured. Creates informal documentation and may share findings to promote innovation within group or with other groups.
• Uses deep understanding of fairness and bias. May contribute to ethics and privacy policies related to research processes and/or data/information collection by providing updates and suggestions around internal best practices. Seeks to identify potential bias in the development of products.
• Helps address scalability problems by adjusting to stakeholder needs. Works with large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Applies the model to real products, and then verifies effects through iterations. Experiments by putting multiple models in production and evaluating their performance. Continues to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails. Monitors over time for input and output data that there are changes over time. Uses system to run analyses on an ongoing basis such as by comparing predicted value with actual value. 
• Collaborates with others and helps lead others to leverage data to identify pockets of opportunity to create state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimal analysis using algorithms. Identifies opportunity areas regarding new statistical analyses and drives solutions. Uses statistical analysis tools or modifies existing tools for evaluating Machine Learning models and validates assumptions about the data while also reviewing consistency against other sources. Runs basic descriptive, diagnostic, predictive, and prescriptive statistics. Represents the team’s insights. Characterizes the customer’s problem through metrics to measure the quality of machine learning systems. Calibrates metrics to support decision making for data (e.g., gaining awareness of ideal metrics and use of metrics).

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor’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 equivalent experience.
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

#MicrosoftAI 

Data Science 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.

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 are hiring a Product Manager to own AI model security — the discipline of making our frontier models resilient against adversarial attack and purpose-built for security practitioners. This role has a dual mandate: (1) harden our models against the full spectrum of LLM security threats — prompt injection, data exfiltration, jailbreaking, training data extraction, zero-day exploit generation, model poisoning, and agentic workflow exploitation — and (2) partner closely with Microsoft Security product teams (Azure Security, Security Copilot) to ensure our models deliver best-in-class capabilities for real-world security workflows.
This is not a safety role (we have one). This is security: you think like an attacker, you understand the OWASP LLM Top 10, and you bring product judgment to hard tradeoffs between model capability and attack surface. You also understand what security analysts and incident responders need from AI — and you work backwards from their workflows to define model training priorities, evaluation benchmarks, and product requirements.
You will work shoulder-to-shoulder with model researchers, engineers, and red teamers. You will personally build evaluation frameworks, define security benchmarks, and drive decisions about what to ship and what to hold. This is a small team with high ownership — you will see your work in production and be accountable for outcomes.

Responsibilities

• Own the model security roadmap: Define and prioritize the security hardening strategy for our frontier models across the full OWASP LLM threat surface — prompt injection (direct and indirect), data exfiltration, jailbreak resistance, system prompt leakage, training data extraction, and adversarial manipulation of agentic workflows.
• Drive zero-day and exploit defense: Work with researchers to evaluate and mitigate the risk of models being used to generate zero-day exploits, malware, or novel attack vectors. Define thresholds, build evaluation datasets, and own the decision framework for what the model should and should not be capable of in the security domain.
• Build and scale red-teaming frameworks: Design, run, and iterate adversarial testing programs — both automated and human-driven — to continuously probe model vulnerabilities. Establish metrics (e.g., jailbreak success rate, injection bypass rate, exfiltration resistance) and drive measurable improvement over time.
• Partner with Microsoft Security product teams: Work closely with Azure Security and Security Copilot teams to translate their product requirements into model training priorities. Ensure our models are purpose-built for threat detection, incident triage, vulnerability assessment, log analysis, and compliance reasoning.
• Define security-specific model evaluations: Build benchmark suites and evaluation frameworks that measure real-world security usefulness — not just academic performance. Drive training data strategy to improve domain-specific model quality for security practitioners.
• Shape security policy and launch readiness: Establish clear security criteria for model launches. Own the security dimension of go/no-go decisions, with frameworks that balance capability, risk, and deployment context.
• Stay at the frontier: Track the rapidly evolving LLM security landscape — new attack techniques, emerging standards (OWASP, NIST AI RMF), regulatory requirements (EU AI Act), and academic research. Translate what you learn into actionable product priorities.
• Influence model training and architecture: Partner with researchers and engineers to embed security considerations into model training, fine-tuning, RLHF, and post-training safeguards. You don’t just test — you shape what gets built.

Required Qualifications

• Bachelor’s Degree AND 5+ years experience in product management, security engineering, or software development OR equivalent experience
• Demonstrated hands-on experience with AI/ML systems — you have personally built, evaluated, or shipped ML-powered products or security tools
• Deep familiarity with LLM security threats: prompt injection, jailbreaking, data exfiltration, adversarial attacks on generative models — through professional experience, red-teaming, or security research
• Experience defining product requirements and driving decisions in partnership with researchers or ML engineers
• Track record of building evaluation systems, security benchmarks, or adversarial testing frameworks — not just consuming them
• Ability to operate autonomously, make decisions with incomplete information, and drive projects from ambiguity to shipped outcomes

Preferred Qualifications

• Technical background in computer science, security, or AI/ML — a postgraduate degree is a plus but not required
• Experience in offensive security, penetration testing, or red teaming — ideally applied to AI/ML systems
• Familiarity with security workflows and tooling (SIEM, SOAR, EDR, threat intelligence platforms) and how practitioners use them in production
• Understanding of the model lifecycle (pre-training, fine-tuning, RLHF, deployment, monitoring) and where security interventions are most effective
• Experience working with or within enterprise security organizations (e.g., Microsoft Security, CrowdStrike, Palo Alto Networks, or similar)
• Published research, blog posts, or public contributions in AI security, adversarial ML, or LLM red teaming

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.

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.

Required Qualifications:

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

Additional or preferred qualifications: 

• 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.
• Previous lead level experience.
• Previous UX design experience.
• Excellent technical design, problem solving and debugging skills.

#MicrosoftAI #Ads #UX #Infrastructure

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.

The Microsoft Content team powers AI-driven experiences for more than 1B users across Copilot, Bing, Edge, Windows, and Xbox. We are seeking a Principal Software Engineer to define and lead the technical direction for the next generation of intelligent, large-scale content platforms.

In this role you will be responsible for shaping multi-year technical strategy, driving architectural coherence across organizations, and building systems that serve as foundational platforms for multiple product surfaces.

You will lead the design and evolution of distributed backend systems, cloud-native infrastructure, and data platforms that operate at global scale with strict requirements for availability, latency, security, and cost efficiency. These systems form the backbone for intelligent user experiences and must be designed for long-term extensibility and operational excellence.

Building on this foundation, you will guide the integration of LLM-powered capabilities into production systems—defining patterns for retrieval, orchestration, evaluation, and responsible AI. You will ensure these capabilities are not isolated features, but deeply embedded, reliable, and scalable parts of the platform.

This role requires exceptional technical judgment, the ability to operate in highly ambiguous spaces, and a track record of influencing across teams and organizations. You will work closely with engineering leaders, product leaders, and applied scientists to align technical investments with long-term business outcomes.

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.

• Technical Strategy & Architecture Leadership
  • Define and drive long-term technical strategy for large-scale distributed systems and platforms spanning multiple teams and organizations.
  • Establish architectural principles, patterns, and standards that ensure consistency, scalability, and maintainability across services.
  • Lead the design of system-of-systems architectures, integrating services, data, and AI capabilities into cohesive platforms.
  • Make high-impact technical decisions that balance innovation, risk, cost, and long-term sustainability.
• Platform & Systems Ownership
  • Architect and evolve backend services, APIs, data infrastructure, and platform capabilities that operate at global scale.
  • Ensure systems meet stringent requirements for availability, latency, throughput, security, privacy, and cost efficiency.
  • Drive operational excellence through observability, resiliency design, incident management, and continuous improvement.
  • Identify and eliminate systemic inefficiencies across services, infrastructure, and development workflows.
• AI Systems Integration & Evolution
  • Define how LLMs and intelligent systems are integrated into core platform architecture (not as isolated features).
  • Establish patterns for retrieval, grounding, orchestration, memory, and tool use in production systems.
  • Lead the design of evaluation frameworks for quality, safety, latency, reliability, and business impact.
  • Ensure responsible AI practices, including safety, privacy, and governance, are embedded into system design.
• Cross-Org Influence & Execution
  • Influence technical direction across teams, organizations, and partner groups without direct authority.
  • Drive alignment between engineering, product, and applied science on platform strategy and execution.
  • Lead complex, multi-team initiatives from concept through delivery, ensuring clarity, momentum, and results.
  • Represent technical strategy and progress to senior leadership.
• Engineering Excellence & Talent Development
  • Raise the engineering bar across the organization through design reviews, technical mentorship, and standards setting.
  • Act as a role model for deep technical rigor, high-quality execution, and end-to-end ownership.
  • Mentor senior engineers and emerging leaders, helping grow the next generation of technical talent.
  • Foster a culture of innovation, accountability, and continuous improvement.

Required Qualifications:

• 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.

Preferred Qualifications:

• Master’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 Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Proven track record of architecting and delivering large-scale distributed systems or platforms used by millions of users.
• Deep expertise in backend systems, cloud-native architecture, and service-oriented or microservices-based design.
• Experience owning and evolving production systems with high availability, low latency, and solid operational rigor.
• Solid fundamentals in system design, distributed systems, data modeling, and performance optimization.
• Demonstrated ability to drive technical strategy and influence across multiple teams or organizations.
• Experience leading complex, ambiguous, and high-impact technical initiatives end-to-end.

#MicrosoftAI #technicalLeadership #MAI #Content #DistributedSystems #LLM #AI #Agent

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.

Additional or preferred qualifications

#MicrosoftAI #LI-JP7 

Applied Sciences 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.

Help reinvent how advertising outcomes are measured in the AI era. You’ll join Microsoft Advertising in building the always-on measurement foundations that power performance, trust, and optimization at global scale. You’ll work on systems that transform raw conversion events into actionable attribution signals—so advertisers can understand what worked, what didn’t, and how to improve as customer journeys evolve.

As a Senior Software Engineer on the Conversion & Attribution engineering team, you will strengthen the near real-time conversion pipeline—collecting and processing conversion events with low latency, and producing attribution signals used for reporting and campaign optimization. You’ll raise the bar on reliability, observability, and operational excellence for business-critical services, and help evolve our attribution platform toward a more unified, configurable architecture that supports cross-scenario needs.

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.

• Collaborates with engineering, product, and data partners to define requirements for conversion measurement and attribution scenarios, including latency and correctness goals.
• Drives dependency alignment and produces design docs for near real-time conversion/attribution services, including data contracts and operational readiness.
• Builds, optimizes, and maintains code to improve throughput, latency, reliability, and maintainability of conversion and attribution pipelines.
• Leads improvements to observability (metrics, dashboards, logging, alerting) and contributes to unified monitoring/alerting practices where applicable.
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following operational playbooks.
• Proactively seeks new knowledge and adapts to new trends and patterns to improve availability, reliability, efficiency, observability, and performance.

Required Qualifications:

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

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with streaming / near real-time processing and data pipeline reliability patterns (SLOs/SLAs, backpressure, late events, idempotency).
• Experience with ads measurement / conversion tracking / attribution systems, and familiarity with privacy- and compliance-aware handling of measurement/telemetry data evolves in the era of AI.

#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 have an opportunity to fundamentally rethink the software that people use most: the browser. Every day, billions of people open a browser because they want something. They want to buy something, learn something, get something done, figure something out. The browser is where intent becomes action.

For decades, that journey has been mostly unchanged: you search, you click, you read, you navigate. AI changes the fundamental equation. The distance between what someone wants and what they actually accomplish can shrink dramatically — and the browser is where that happens for billions of people.

We’re looking for a Principal Product Manager who sees that opportunity clearly and has the conviction and the hands to go build it. Someone who invents on behalf of customers rather than waiting to be told what they want. Someone who thinks about AI not just as a set of features to add, but as the means by which we rethink the whole product on behalf of the people who use it every day. The role is yours to define. The surface area is massive. The moment is now.

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 the AI-native product strategy for Microsoft Edge, defining how AI collapses the distance between what people want and what they can accomplish — across research, tasks, decisions, and everything else people bring to their browser.
• Invent on behalf of billions of users: form solid, well-reasoned convictions about what people need before they can articulate it themselves, and build toward that vision.
• Turn frontier AI capabilities into experiences customers actually want to use, not demos that impress in a conference room and disappear six months later.
• Run fast, hypothesis-driven experimentation cycles across new AI interaction patterns and UI flows; let real usage data sharpen your convictions.
• Partner with research teams to identify model advances with real customer value and move them from research to shipped product.
• Work with data science and growth teams to ensure AI-powered features reach and retain the users who need them most.
• Set clear direction in ambiguous spaces, make tradeoffs visible to leadership, and drive alignment across partner teams.
• Operate as a senior IC: coach PMs on adjacent workstreams, unblock critical path items, and hold a high bar for what “done” means.

Required Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 15+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 5+ years shipping consumer products at meaningful scale.
• 3+ years building products with large language models, agentic AI, or similar frontier AI technologies.
• You have built a product from 0 to launch with your own hands. Not contributed to someone else’s initiative — owned it, defined the scope, recruited the help, made the calls, and shipped it.
• A track record of turning complex, ambiguous technical capabilities into products customers love and return to.
• Ability to lead and align multiple teams through long, cross-functional delivery cycles.
• Solid product intuition and the conviction to act on it, even when the data is incomplete.
• Familiarity with prompting patterns, RAG, agentic frameworks, or eval-based quality measurement.
• Experience with browser technologies, web platform, or Chromium-based products.
• A genuine interest in emerging AI research and a habit of thinking beyond established playbooks.
• Experience working with geographically distributed engineering teams.

#MicrosoftAI 

Product Management IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

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

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

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

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 are looking for a design leader who is obsessed with how AI feels — not just how it looks. You’ll own the end-to-end design quality of our model’s personality, tone, and user-facing experiences across MM Labs, Playground, marketing surfaces, and model personality specification. This is a player-coach role: you’ll spend roughly 80% of your time doing hands-on IC work (model personality design, UX prototyping, interaction design) and 20% coaching and growing a small team of model and UX designers.Your team includes model designers with linguistics backgrounds who shape how the model speaks, responds, and behaves — and UX designers who translate that into product surfaces. You set the creative bar for both disciplines. The right person for this role has exceptional design taste and craft, a deep intuition for language and personality, and the drive to personally produce work that sets the standard for the team.
This is a small team where everyone builds. There is no room for armchair leadership — you will be in the work daily, reviewing SFT data quality alongside your model designers, critiquing interaction flows with your UX designers, and prototyping experiences yourself. You will ship regularly, and your work will directly shape how millions of people experience our AI.

• Own the creative vision for model experience: Define and evolve how our AI models look, feel, speak, and interact across all surfaces — establishing a coherent design language that spans personality, tone, visual design, and interaction patterns.
• Do the work yourself: Personally produce high-quality IC output — whether that’s crafting model personality specifications, designing interaction prototypes, defining prompt taxonomies, or building evaluation frameworks for response quality. You lead by example.
• Shape model personality and tone: Work directly with model researchers to define and refine the model’s character, voice, and communication style. Translate abstract personality goals into concrete SFT data strategy, quality rubrics, and evaluation criteria.
• Drive UX for key product surfaces: Own the experience design for MM Labs, Playground, marketing pages, and model specification tools. Ensure every surface reflects world-class design craft and a deep understanding of how users interact with AI.
• Coach and grow a small team: Manage 4-5 direct reports across model design and UX design. Set direction, run rigorous critiques, unblock your team, and raise the quality bar — while keeping your own hands in the work.
• Bridge linguistics and design: Serve as the connective tissue between model behavior (how the model responds) and product experience (how users perceive and interact with those responses). Ensure linguistic quality and design craft reinforce each other.
• Partner across research and engineering: Collaborate closely with model researchers, product managers, and engineers to influence model training priorities, evaluation rubrics, and user-facing capabilities from the earliest stages of development.
• Build evaluation systems for design quality: Define what “good” looks like for model personality and UX. Build rubrics, run evaluations, and create feedback loops that connect user experience insights back to model training.

• Bachelor’s Degree in Product Design, Human-Computer Interaction, Interaction Design, Communication Design, Linguistics, or related field AND 8+ years experience in product design, experience design, or a related creative discipline
• OR Master’s Degree in a related field AND 6+ years experience
• OR equivalent experience (e.g., demonstrated track record of shipping design work that shaped product identity and user experience)
• 2+ years of experience managing or mentoring designers, with a strong preference for player-coach roles where you remained deeply hands-on
• A portfolio that demonstrates exceptional craft in interaction design, visual design, or content/personality design — with evidence of personal IC contribution, not just direction-setting
• Experience designing for AI, LLM, or conversational systems — or a demonstrated deep understanding of how language, tone, and personality affect user trust and experience
• Comfort working across disciplines: you can review SFT data quality with a linguist in the morning and critique a Figma prototype in the afternoon
• Track record of shipping products end-to-end in ambiguous, fast-moving environments where you owned both the vision and the details

Product Design M6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

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

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

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

About the Team 

Consumer Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally. 

About the Role 

Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams. 

You’ll tackle novel risks at the frontier of agential AI, applying proven solutions and inventing new ones where needed. This role demands a rare blend of deep backend engineering expertise, mastery of modern consumer identity protocols, and the ability to make sound trade-offs between risk and velocity—keeping Copilot moving fast while raising the security and reliability bar. 

Why This Role Matters 

Your work will secure AI experiences for hundreds of millions of users worldwide, shaping how people trust and interact with Microsoft’s most transformative products. If you thrive on solving hard technical problems at scale, influencing architecture across platforms, and building systems that balance speed and trust, this is your opportunity to make a 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, 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.

• Identity strategy & architecture: Define the end‑to‑end identity vision for consumer Copilot and MAI, covering user/account models, sign‑in, session management, token issuance/validation, service‑to‑service auth, and cross‑device experiences. 
• Cross‑surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities. 
• Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security. Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives. 
• Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI. Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis 
• Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale. 
• Define and document authentication patterns and requirements for AI-powered, agentic flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services. 
• Hands‑on engineering: Ship secure, well‑tested, maintainable code and frameworks that other teams can adopt quickly. 
• Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot. 
• Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones. Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.

Required Qualifications:

• 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.

Preferred Qualifications:

#MicrosoftAI

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.