About the Team

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

About the Role

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

Why This Role Matters

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

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

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

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

Required Qualifications:

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

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years of hands‑on experience building and shipping machine learning systems in production.
• Solid foundation in ML fundamentals, including classification, anomaly detection, representation learning, and model evaluation.
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow).
• Experience designing end‑to‑end ML pipelines: data collection, training, evaluation, deployment, and monitoring.
• Ability to reason about adversarial behavior, threat models, and failure modes in AI/ML systems.
• Experience working on AI safety, trust, or security‑adjacent ML problems, including prompt injection, abuse detection, or adversarial ML.
• Familiarity with agentic or LLM‑based systems, including tool calling, multi‑step reasoning, or orchestration flows.
• Experience building ML evaluation and observability systems for real‑world AI behavior (e.g., adversarial testing, red‑team loops, robustness metrics).
• Exposure to distributed ML systems, large‑scale data processing, or model serving in cloud environments.
• Ability to clearly communicate complex ML and security concepts to engineering and non‑ML stakeholders.

#MicrosoftAI #MAIDPS

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

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

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

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

Microsoft Advertising (MSA) is a worldwide Sales, Marketing, Business and Operations organization on the cutting edge of the digital advertising industry. We are the engine that powers the buying and selling of digital advertising across all aspects of our digital portfolio including our high-growth search engine, Bing, and consumer services like MSN, Microsoft News, Xbox, and Outlook.

We are looking for a Sr.Technical Program Manager –  Opportunity Analytics team within the Global Business Planning function of Microsoft Advertising (MSA). As a TPM at MSA, you will focus on analyzing monetization performance and identifying growth opportunities across regions, products, and advertiser segments within the global business. In this position, you’ll work with large data sets to gain a thorough understanding of the factors that drive growth across our ad platform, publishers, advertisers, and consumers in international markets. A key responsibility will be developing strategies to translate marketplace trends into actionable advertiser growth opportunities, collaborating with stakeholders to create sales initiatives, and measuring the impact and effectiveness of these programs.

This role requires an individual with depth of knowledge of the global advertising space – in particular performance advertising and audience-led buying across search, display, native or programmatic – a keen intellect for generating data driven answers to complex business questions as well as superior communication skills to influence a range of different partners and stakeholders.

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.

• Lead & develop an effective framework to identify growth opportunities through analysis of marketplace, advertiser and monetization trends for the global markets and drive demand programs in partnership with relevant teams to help execute against the opportunities
• Serve as the key partner to Business Planning, Demand Planning,  Market Sciences, and Sales Strategy teams on opportunities, programs and measurement.
• Work on ad-hoc projects with the basic theme of analyzing large quantities of data to generate meaningful actionable insights for our advertisers
• Collaborate with different parts/teams of the Microsoft Advertising eco system, as required, to leverage diverse assets and tools towards solving on-demand business problems
• Showcase thought leadership by unlocking newer and lesser explored areas of driving sustainable advertiser demand growth through effective monitoring of demand performance, quality, and diversification including the development of suitable frameworks and building the case for Leadership team buy-in, where appropriate.
• Research evolving industry trends and our competitive landscape to understand implications for our business and advertiser base – develop and land strategic recommendations with our business leadership.
• Be a Strategic Advisor: Provide thought leadership, advice, influence and insight to partners across other teams.

Other

• Embody our culture and values.

Required Qualifications:

• Bachelor’s Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 2+ years of experience managing cross-functional and/or cross-team projects.

Preferred Qualifications:

• 6+ years of experience of applying sophisticated analytics to solve complex business questions. 
• Well-developed critical thinking and problem-solving skills.
• Experience with turning large scale data into actionable insights and decisions.
• Hands-on approach to data analysis / data mining with a solid focus on quality.
• Experience with MS Excel.
• Superior communications skills, both verbal and written and ability to engage with business partners and executives to influence and drive data based strategic decisions. 
• Experience with SQL, PowerBI and Python.

#MicrosoftAI

Technical Program 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.

At Microsoft Ads, we’re building the future of intelligent, privacy-forward measurement systems that help advertisers understand, optimize, and accelerate their business growth across the Microsoft ecosystem.

We are seeking a Measurement Lead to join the Global Measurement and Insights (GMI) team and serve as a measurement, data and identity subject-matter expert, executing on measurement strategy and leveraging measurement solutions to empower advertisers to prove business impact in a privacy-safe world.

You will play a pivotal role in shaping how advertisers quantify media effectiveness, develop advanced measurement approaches, and leverage data and identity to drive better decisions across Microsoft AI-enabled surfaces.

You will partner with Analytical Leads, Sales, Technical Program Managers, and advertisers on measurement plans, with the goal of understanding their return on investment and driving growth.

We are committed to inclusive design and creating systems that empower people of all backgrounds to do their best work. 

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 internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.
• Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.
• Build and maintain solid relationships with client’s measurement, data science, and analytics teams as trusted strategic advisors.
• Synthesize feedback from clients. Inform product roadmaps and prioritization based on measurement gaps, customer needs, and industry trends.
• Collaborate closely with Product, Engineering, TPMs, Sales, and fellow measurement experts to drive adoption of measurement capabilities. Work together with Analytical Leads to driving actionable insights and translate insights into concrete actions that improve performance and business outcomes.
• Be a thought leader on modern measurement practices, emerging privacy standards, identity solutions, and evolving ecosystem changes.
• Evangelize measurement best practices internally and externally, and represent Microsoft Ads’ measurement capabilities.

Business Analytics IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 – $222,600 per year.

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

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

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

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

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

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

Required Qualifications:

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

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with large scale data systems. 
• Experience working with AI platforms, frameworks, and APIs.   
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.  
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.   
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.  
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 
• 6+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, Databricks, Azure Synapse Analytics. 
• 6+ years’ experience in OSS (Open-Source Software) data technology, such as Kafka, Spark, Flink. 

#MicrosoftAI #MAIDPS

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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

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

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

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for a Senior Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As a Senior Analytical Lead (AL), you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform. Your position will also involve Partner Enablement Program Management, by managing consultants who are producing foundational insights. This opportunity will allow you to combine your deep understanding of the business landscape, sophisticated and innovative analytical techniques and keen visualizations into a compelling data narrative that influences decision-makers. You will leverage your exceptional analytical, problem-solving and partner management skills to bring deep insights to our clients. You will be energized by collaboration and continually raise the bar with world-class analytics 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.

• Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
• Partner Enablement Program Management:  Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients. Every half is responsible for surveying insights needs and developing a road map for Scaled Insights team.
• Data Analysis:  You will execute complex analyses to resolve analytical challenges, interpret results within a client context and drive forward opportunities with actionable recommendations and be adept at connecting insights with the unique capabilities of Microsoft Advertising products to address client needs.
• Small Medium Business Insights Enablement:  Work directly with Delivery Partners & Advocates to share Scaled Insights deliverables at scale to our SMBs.  Measure the success each month and apply a growth mindset for future opportunities.
• Improvement, Efficiency, and Innovation: You will drive the implementation of methods that create systematic and scalable efficiencies in core work related to analytics and reporting that are reusable and work with tooling PMs to enable scalable efficiencies, readily discoverable insights and self-service that are directed towards meaningful interpretation of data that drives impactful business decisions across teams.
• Collaboration:  You will leverage working relationships within and across internal and client teams to ensure data sources, methodologies and models are high-quality, that analytical tools and processes are appropriately leveraged and that recommendations to clients are data-driven and industry-relevant to consistently drive positive impact as you proactively engage internal and external stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts and consults across industry verticals and client teams on decisions related to analyses and their interpretation.
• Security:  You will maintain expertise in data privacy and governance rules and regulations, know where to seek expertise on such rules and regulations and share personal knowledge of them with peers as needed and identify and address the impact of updated guidance on work activities and results and ensure work activities and results are delivered in alignment with principles and controls.

Required Qualifications:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• 5+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineering
  • OR equivalent experience.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience managing vendors or consultants who produce insights and sharing at scale.
• Experience in ad domain experience, scaling projects and data management.
• Experience project managing a calendar for four consultants for over 100+ of insights every six months.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. 
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly-evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 8+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 8+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 6+ years in a partner or account management/client service/client-facing role.
• 6+ years in a data analysis role with programming experience.
• 5+ years of data storytelling and insights creation experience.
• Experience working with Small Medium Businesses.
• Experience with scaling insights to many clients.
• Working knowledge and familiarity in a combination of the following data manipulation and visualization tools: Python, R, PowerPivot, Microsoft Advertising API.

#MicrosoftAI #MicrosoftAdvertising

Advertising Insights IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 – $222,600 per year.

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

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

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

Microsoft AI is pioneering the future of what AI can do and what technology can be. We are a global organization that includes AI research, Copilot, Responsible AI, Privacy and Security, Microsoft Health, Bing Search, Edge Browser, MSN, Shopping, and Microsoft Advertising (MSA). Our mission is to inform, support and empower our consumers with responsible AI. As the monetization arm of Microsoft AI, Microsoft Advertising’s (MSA) vision is to be the best go-to platform to reach people from work to play, with personalized advertising that they love. Our vision in the Small & Midsized Business (SMB) segment is to empower every SMB marketer on the planet to do more.  We are seeking an accomplished Sales Leader with deep digital advertising expertise and practical experience of leading high-scale Sales & Marketing programs to help realize that vision. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 

As Senior Director, SMB Sales, you will lead the strategy, execution, and performance of Microsoft Advertising’s SMB business in the United States—one of our fastest-growing and most dynamic segments. This role places you at the center of an ambitious transformation as we design and scale the sales and lifecycle programs that will unlock our next wave of growth. You will define the US SMB go-to-market strategy, drive customer success and revenue delivery across both FTE and Delivery Partner sales motions, and ensure our teams execute with clarity, discipline, and impact. In this highly cross-functional role you will influence cross-functional experts across Microsoft Advertising and Microsoft AI (MAI) to evolve our offerings and bring the full value of Microsoft to millions of US small and midsized businesses. As a senior representative of Microsoft Advertising to the SMB ecosystem, you will engage via high‑reach platforms and industry channels to connect with thousands of SMBs and independent agencies—championing their success and framing Microsoft’s leadership in the next era of AI-powered digital advertising. 

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 revenue delivery and customer success for Microsoft Advertising’s SMB business in the United States, consistently surpassing quota and driving durable, highquality growth. 
• Set the strategic direction for US SMB by proactively identifying emerging market opportunities and trends and developing and executing effective territory and market plans; orchestrate crossfunctional alignment and enforce operational accountability with internal teams and delivery partners. 
• Design and scale impactful US sales plays and contribute to global sales play development; ensure rapid adoption and measurable business impact across all seller and partner motions. Scale US incubated programs to global markets. Partner closely with SMB Sales counterparts in International markets and Corporate Sales Management to share best practices and maximize short-term segment performance. 
• Lead US planning and investment strategy, bringing datadriven recommendations, market insight, and best practices to inform headcount, partner footprint, and growth opportunities.  
• Steward of the Business; Lead the US SMB rhythm of business, ensuring worldclass sales rigor, disciplined pipeline management and operational excellence; ensure every decision and customer engagement complies with Microsoft’s values, culture, and Trust code.  
• Serve as the senior SMB Sales Leader for the US territory, accountable for setting and reinforcing performance expectations, assessing the effectiveness of sales mechanics and approaches, and providing clear, vocal feedback to influence execution quality across Agency and Direct Advertiser sales motions. While the role includes evaluating Delivery Partner capabilities, the Sales Leader collaborates closely with Enablement and Learning & Development partners—leveraging their expertise and deferring to them on programmatic changes or skillbuilding recommendations. 
• Build and maintain influential relationships with top SMB clients, independent agencies, and industry associations; lead scaled customer engagement through highreach 1P/3P events, webinars, social media and thought leadership moments.reach 1P/3P events, webinars, social media and thought leadership moments. 
• Own critical escalations, drive customer satisfaction and retention, and develop activation and recovery plans that safeguard revenue and deepen relationships. 
• Influence digital marketing and Agentic AI experiences, partnering with cross-functional teams to create compelling, personalized customer journeys and digital-first experiences for US customers. 
• Champion the voice of the SMB customer and agency ecosystem, synthesizing regional insights to influence Microsoft Advertising and Microsoft AI Product teams on roadmap priorities, platform improvements, and GTM strategy. 
• Accelerate demand generation by supporting comarketing initiatives and integration partnerships that drive highvolume lead generation, acquisition, and funnel growth for Microsoft Advertising. Develop a close partnership with global SMB Acquisition and Lifecycle Marketing partners to maximize US market acquisition outcomes.   

Required Qualifications:

• Bachelor’s Degree in Business Administration, Sales, Marketing, Economics, Engineering, or related field AND 8+ years relevant Sales or Marketing experience with Information Technology products and/or services OR equivalent experience. 

Preferred Qualifications:

• Bachelor’s Degree in Business Administration, Sales, Marketing, Economics, Engineering or related field AND 10+ years relevant Sales or Marketing experience with Information Technology products and/or services
  • OR equivalent experience.
• 10+ years relevant digital advertising sales experience.
• 4+ years working in a large, global matrix.
• 3+ years of experience in strategy and execution of SMB scaled marketing and sales plays. 

#MicrosoftAI #MicrosoftAdvertising

SMB Sales IC5 – The typical base pay range for this role across the U.S. is USD $133,000 – $222,700 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 $170,300 – $239,800 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 Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, measurement, and data management.
• Experience in the Technology and Telecommunications industry.

#MicrosoftAI #microsoftadvertising

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 per year.

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

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

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

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. 
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly-evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, and data management.
• Experience in the Retail industry.
• Working knowledge and familiarity in a combination of the following data manipulation and visualization tools: Python, R, PowerPivot, Microsoft Advertising API.

#MicrosoftAI

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 per year.

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

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

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

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly-evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Preferred experience in the pharamaceutical industry
• Experience in digital media, data analysis, measurement, and data management.
• Working knowledge and familiarity in a combination of the following data manipulation and visualization tools: Python, R, PowerPivot, Microsoft Advertising API.

#MicrosoftAI 

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 per year.

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

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

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

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly-evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• Experience in the Financial Services (Credit Cards, Banking) industry.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, measurement, and data management.

#MicrosoftAI 

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 per year.

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

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

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