{"data":{"company":{"name":"Microsoft","slug":"microsoft","logo_url":"https://logos.yubhub.co/microsoft.ai.png","canonical_domain":"microsoft.ai","editorial":null,"wikidata_id":"Q2283","founded":"1975-04-04","ceo":"Satya Nadella","founders":["Paul Allen","Bill Gates"],"hq_location":"Redmond","industry":"technology industry","employee_count":228000,"official_website":"https://www.microsoft.com/","wikipedia_url":"https://en.wikipedia.org/wiki/Microsoft","stock_ticker":"MSFT","stock_price":383.19,"market_cap":null,"revenue":null,"ipo_date":"1986-03-13","sector":"Technology","full_time_employees":228000,"company_description":"Microsoft Corporation develops, licenses, and supports software, services, devices, and solutions worldwide. The company operates in three segments: Productivity and Business Processes, Intelligent Cloud, and More Personal Computing. The Productivity and Business Processes segment offers Office, Exchange, SharePoint, Microsoft Teams, Office 365 Security and Compliance, Microsoft Viva, and Skype for Business; Skype, Outlook.com, OneDrive, and LinkedIn; and Dynamics 365, a set of cloud-based and on-premises business solutions for organizations and enterprise divisions. The Intelligent Cloud segment licenses SQL, Windows Servers, Visual Studio, System Center, and related Client Access Licenses; GitHub that provides a collaboration platform and code hosting service for developers; Nuance provides healthcare and enterprise AI solutions; and Azure, a cloud platform. It also offers enterprise support, Microsoft consulting, and nuance professional services to assist customers in developing, deploying, and managing Microsoft server and desktop solutions; and training and certification on Microsoft products. The More Personal Computing segment provides Windows original equipment manufacturer (OEM) licensing and other non-volume licensing of the Windows operating system; Windows Commercial, such as volume licensing of the Windows operating system, Windows cloud services, and other Windows commercial offerings; patent licensing; and Windows Internet of Things. It also offers Surface, PC accessories, PCs, tablets, gaming and entertainment consoles, and other devices; Gaming, including Xbox hardware, and Xbox content and services; video games and third-party video game royalties; and Search, including Bing and Microsoft advertising. The company sells its products through OEMs, distributors, and resellers; and directly through digital marketplaces, online stores, and retail stores. Microsoft Corporation was founded in 1975 and is headquartered in Redmond, Washington.","twitter_username":"Microsoft","linkedin_id":"microsoft","instagram_username":"microsoft","facebook_id":"Microsoft","parent_org":null,"country":"United States","github_org":"microsoft","github_public_repos":7687,"github_followers":115153,"github_verified":1,"github_description":"Open source projects and samples from Microsoft","github_location":"Redmond, WA","github_blog":"https://opensource.microsoft.com","github_twitter":"OpenAtMicrosoft","stock_exchange":null,"stock_beta":1.108,"stock_range":"344.79-555.45","stock_is_actively_trading":1,"fmp_image":"https://images.financialmodelingprep.com/symbol/MSFT.png","fmp_address":"One Microsoft Way","fmp_city":"Redmond","fmp_state":"WA","fmp_country":"US","recent_news":[{"title":"Microsoft Cloud and AI strength fuels third quarter results - Microsoft Source","url":"https://news.google.com/rss/articles/CBMiqAFBVV95cUxPRTNCcHE4bzR3QkF3ZU8xLUctRWp4NzFhVGdmamhxZF9Beml5UjI5cVV2N0gyUWRKczNkMS1lSGRDZG50UmFyYlVpLVpESzNQelQ3RkpLT0I3cWgtVWZmSEpxV1Z5RlBGTXF4OWltSUw0TThVeWFGejRYU0RZbHlybDJOUG1renJFRDdYbFFCQy1fcm1RN1hFb1A0cEdnSEJwdHRSREdzQi0?oc=5","publisher":"Microsoft Source","date":"2026-04-29","snippet":"Microsoft Cloud and AI strength fuels third quarter results Microsoft Source"},{"title":"New updates to Edge across desktop and mobile - Microsoft Edge Blog - Windows Blog","url":"https://news.google.com/rss/articles/CBMimAFBVV95cUxNblk1eVhJem9lS3lwSEtUb0NwY0xyUC1WTlBRRnljM1ZlMy1iNXo2eVhwdFZ1SGFtdGNSdmVNRXpHeUNxSTdpMUJpbmlGWmZ6UlAzakRLRUJRbkE0VjhFeGhoeE5GVnhpSDZUNF94VDVOeGF2bjdTRTkyczQtb3g1bU05V3BpZWw4amplNEdFSFdlb3dsNEo1OQ?oc=5","publisher":"Windows Blog","date":"2026-05-13","snippet":"New updates to Edge across desktop and mobile - Microsoft Edge Blog Windows Blog"},{"title":"Microsoft says it has hired around 375 people for its Mount Pleasant data center - WPR","url":"https://news.google.com/rss/articles/CBMiigFBVV95cUxOSl96bFA4cW91M3hYNkdfNGw4XzlZZTY1b1Q1aG43UDVVeWNMMWU5MWdKdzhMWTZLM0pFNTBTLThEN0RlNENXZmFTRHZnWTNpb3pvN09YN3AwSEV2S0RBaG95OVBJMXEzSFZ2bmxvWFNBYTdCSW05Y3hkanVSdHFjV3U3enF0RWlObmc?oc=5","publisher":"WPR","date":"2026-05-12","snippet":"Microsoft says it has hired around 375 people for its Mount Pleasant data center WPR"},{"title":"Defense at AI speed: Microsoft’s new multi-model agentic security system tops leading industry benchmark - Microsoft","url":"https://news.google.com/rss/articles/CBMi8gFBVV95cUxNam1FNzNlVU9IWG5GZlR0UENWbDFTQ0FwZlE1Mm9nQmdyOWNOd3dTWXFaT3MtUjAzSWVPRFR6bU5WREtMZlM2d1V4aVg2enE4VVVuNllEU3RrLWdONUlfN3MxUzhvelZrN1k0SXRGS3F4SHJqRFo1RFBvQV81N0ZSaFdkbFdncUg2SUEycVJMdTFza0J3dlFSNmhNUHV5dDdPLVlzZHBIcEdIV295WWNLMkpkUmQxVmxXUThPN3VvQmY0VHZHYzhOMU1RS1J3bnNtUU5yS2dwMzlLUXN4NkFmcjZ6bWR1bFAtMVItVjYzS2UtZw?oc=5","publisher":"Microsoft","date":"2026-05-12","snippet":"Defense at AI speed: Microsoft’s new multi-model agentic security system tops leading industry benchmark Microsoft"},{"title":"Introducing new Surface devices built for business and AI acceleration - Windows Blog","url":"https://news.google.com/rss/articles/CBMitwFBVV95cUxQc29kRjJrWWM4MTdxTDROYVV1Y3dvdVZndXAwejVGSFVLakpJbFluR0pYRlMzM2d4NWlQOE5QUkJMMWhLbkV4SEw0d01HN0F1c0xpUlN3YlRobnlIYlVNUWFkLUhiYUtORHhGSlRVdG8waHMwcV9EUUdLcG9sSTZsOGtDREJHY002bldiQzhrQnBYOEhNNGE5MjE4WXB0XzFXc1k5aHZRUGt1NXk3UEV2NTdhZWFieU0?oc=5","publisher":"Windows Blog","date":"2026-05-19","snippet":"Introducing new Surface devices built for business and AI acceleration Windows Blog"}],"search_interest_index":75,"search_interest_trend":"stable","wikipedia_monthly_views":307704,"hn_mention_count":377652,"hn_top_stories":[{"title":"Microsoft Is Said to Have Agreed to Acquire GitHub","url":"http://www.bloomberg.com/news/articles/2018-06-03/microsoft-is-said-to-have-agreed-to-acquire-coding-site-github?","points":2873},{"title":"Microsoft takes .NET open source and cross-platform","url":"http://news.microsoft.com/2014/11/12/microsoft-takes-net-open-source-and-cross-platform-adds-new-development-capabilities-with-visual-studio-2015-net-2015-and-visual-studio-online/","points":2376},{"title":"Microsoft to Acquire Activision Blizzard","url":"https://news.microsoft.com/2022/01/18/microsoft-to-acquire-activision-blizzard-to-bring-the-joy-and-community-of-gaming-to-everyone-across-every-device/","points":2051},{"title":"Microsoft to acquire LinkedIn for $26B","url":"http://news.microsoft.com/2016/06/13/microsoft-to-acquire-linkedin/#sm.0000pigrxf7dne36z7o2gp4nrghse","points":2049},{"title":"Microsoft forced me to switch to Linux","url":"https://www.himthe.dev/blog/microsoft-to-linux","points":1871}],"wayback_first_year":1996,"sec_incorporation_state":"WA","sec_latest_filing_type":"4","sec_latest_filing_date":"2026-03-16","sec_filings":[{"form":"4","filingDate":"2026-03-16","description":"xslF345X05/form4.xml"},{"form":"4","filingDate":"2026-03-13","description":"xslF345X05/form4.xml"},{"form":"4","filingDate":"2026-03-13","description":"xslF345X05/form4.xml"},{"form":"4","filingDate":"2026-03-13","description":"xslF345X05/form4.xml"},{"form":"4","filingDate":"2026-03-13","description":"xslF345X05/form4.xml"},{"form":"4","filingDate":"2026-03-13","description":"xslF345X05/form4.xml"},{"form":"4","filingDate":"2026-03-13","description":"xslF345X05/form4.xml"},{"form":"4","filingDate":"2026-03-13","description":"xslF345X05/form4.xml"},{"form":"4","filingDate":"2026-03-13","description":"xslF345X05/form4.xml"},{"form":"4","filingDate":"2026-03-09","description":"xslF345X05/form4.xml"}],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":["wikidata","fmp","github","news","hackernews","wayback","sec"],"last_enriched_at":"2026-03-20T17:06:38.077Z"},"hiring":{"total_jobs":105,"categories":[{"category":"engineering","count":87},{"category":"marketing","count":9},{"category":"product management","count":4},{"category":"operations","count":2},{"category":"data science","count":1},{"category":"business support","count":1}],"experience_levels":[{"level":"senior","count":81},{"level":"staff","count":14},{"level":"mid","count":8},{"level":"executive","count":1}],"work_arrangements":[{"arrangement":"hybrid","count":74},{"arrangement":"onsite","count":21},{"arrangement":"remote","count":1}],"top_titles":[{"title":"Principal Software Engineer","count":11},{"title":"Principal Applied Scientist","count":10},{"title":"Senior Applied Scientist","count":8},{"title":"Principal Product Manager","count":6},{"title":"Senior Software Engineer","count":5},{"title":"Senior Software Engineer – Microsoft AI, Copilot","count":3},{"title":"Senior Principal Architect : Ads Trust & Safety AI Platform","count":3},{"title":"Senior Audience Growth & Creative Lead","count":3},{"title":"Senior Applied Data Scientist","count":3},{"title":"Principal Software Engineer – Data, Personalization","count":3},{"title":"Principal Product Marketing Manager","count":3},{"title":"Principal Product Manager, Content Monetization","count":3},{"title":"Member of Technical Staff - Machine Learning (AI Team)","count":3},{"title":"Member of Technical Staff - AI Product Engineer - Web","count":3},{"title":"Audience Growth & Social Media Producer","count":3}],"locations":[{"location":"redmond","count":43},{"location":"mountain view","count":27},{"location":"new york","count":7},{"location":"redmond, washington","count":4},{"location":"redmond, wa","count":3},{"location":"sunnyvale","count":2},{"location":"mountain view, us","count":2},{"location":"garden city, united states","count":2},{"location":"seattle","count":1},{"location":"redmond, united states","count":1}],"skills":[{"skill":"Python","required":47,"preferred":0,"total":47},{"skill":"C#","required":39,"preferred":0,"total":39},{"skill":"C++","required":34,"preferred":1,"total":35},{"skill":"Java","required":34,"preferred":0,"total":34},{"skill":"Machine Learning","required":30,"preferred":4,"total":34},{"skill":"JavaScript","required":23,"preferred":0,"total":23},{"skill":"Large Language Models","required":12,"preferred":8,"total":20},{"skill":"Statistics","required":18,"preferred":1,"total":19},{"skill":"Data Science","required":15,"preferred":3,"total":18},{"skill":"Computer Science","required":15,"preferred":1,"total":16},{"skill":"Data Analysis","required":13,"preferred":1,"total":14},{"skill":"Deep Learning","required":11,"preferred":3,"total":14},{"skill":"Econometrics","required":13,"preferred":1,"total":14},{"skill":"Product Management","required":13,"preferred":0,"total":13},{"skill":"Artificial Intelligence","required":8,"preferred":5,"total":13},{"skill":"Electrical Or Computer Engineering","required":12,"preferred":1,"total":13},{"skill":"Azure","required":9,"preferred":3,"total":12},{"skill":"Generative AI","required":8,"preferred":4,"total":12},{"skill":"AWS","required":7,"preferred":3,"total":10},{"skill":"Google Cloud","required":7,"preferred":3,"total":10}],"salary_stats":{"count":91,"min":110000,"q1":177250,"median":200000,"q3":208800,"max":231000},"job_types":[{"type":"full-time","count":104}],"latest_jobs":[{"id":"job_158fb0b6-f8d","title":"Senior Principal Architect : Ads Trust & Safety AI Platform","source_url":"https://microsoft.ai/job/senior-principal-architect-ads-trust-safety-ai-platform/","location":"Bengaluru, India","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Microsoft Advertising is seeking a Senior Principal Architect to define and drive the next generation of the Ads Trust &amp; Safety AI Platform. This role involves setting technical direction, shaping platform strategy, and building durable systems that protect users, advertisers, and partners from harm.</p>\n<p><strong>Responsibilities</strong></p>\n<h4>AI Platform Architecture and Technical Strategy</h4>\n<ul>\n<li>Define the long-term architecture for the Ads Trust &amp; Safety AI Platform.</li>\n<li>Translate Trust &amp; Safety needs into reusable platform capabilities.</li>\n<li>Establish reference architectures, design principles, and technical standards.</li>\n<li>Drive architecture choices across latency, throughput, quality, cost, and operational safety.</li>\n</ul>\n<h4>Deep Research Agents and AI-Assisted Investigation</h4>\n<ul>\n<li>Architect platform for Deep Research Agents to investigate domains, landing pages, and advertisers.</li>\n<li>Combine retrieval, crawling, structured evidence extraction, and LLM reasoning.</li>\n<li>Implement guardrails for agentic systems, including source provenance and confidence scoring.</li>\n</ul>\n<h4>Entity Intelligence, Decisioning, and Enforcement</h4>\n<ul>\n<li>Architect systems for high-fidelity understanding of domains, websites, and advertisers.</li>\n<li>Design real-time, nearline, and batch scoring systems for policy enforcement and fraud detection.</li>\n</ul>\n<h4>Security, Risk, and Fraud Platform</h4>\n<ul>\n<li>Detect, learn, and mitigate adversarial behavior across the advertiser lifecycle.</li>\n<li>Build sequential and event-based risk systems.</li>\n</ul>\n<h4>Cross-Microsoft Collaboration, Industry Learning, and Technical Leadership</h4>\n<ul>\n<li>Collaborate across Microsoft teams to create shared platform capabilities.</li>\n<li>Evangelize a coherent Trust &amp; Safety AI platform strategy.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related field and 15+ years of professional software engineering experience.</li>\n<li>8+ years of senior technical leadership experience.</li>\n<li>Proven experience architecting large-scale production systems.</li>\n<li>Deep technical experience in AI/ML systems, agentic systems, or decisioning systems.</li>\n</ul>\n<p><strong>Preferred Qualification</strong></p>\n<ul>\n<li>Experience in Trust &amp; Safety, Fraud, Abuse, Risk, Security, or Ads Quality.</li>\n<li>Familiarity with Deep Research Agents, investigation agents, or retrieval-augmented generation systems.</li>\n</ul>","enriched_at":1781883140552},{"id":"job_655fde65-32a","title":"Executive Assistant","source_url":"https://microsoft.ai/job/executive-assistant-2/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Operations","description":"<p>The Copilot organization at Microsoft is seeking a highly motivated Executive Business Admin to provide support to the CVP Copilot and Browser. This role will report to the CVP Copilot and Browser.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Strategic calendar and meeting management , manage a complex and evolving calendar across multiple time zones for one primary; support the preparation of agendas, briefing materials, and meeting logistics to maximize decision-making time.</li>\n<li>Operational excellence and continuous improvement , Work with wider EA team to run day-to-day operational tasks and processes on site at the office, identify gaps, propose scalable solutions, and leverage productivity and AI tools to increase efficiency.</li>\n<li>Onboarding support , Partner with Talent Acquisition and hiring managers on recruitment, onboarding, and offboarding; manage equipment provisioning, security groups, and new-hire setup.</li>\n<li>Expense management , Manage expense documentation, purchase orders, statements of work, reimbursements, and basic budget tracking while ensuring policy compliance.</li>\n<li>Event and travel coordination , Plan and execute internal and external events including off-sites and seminars; arrange complex domestic and international travel, visas, and detailed itineraries. Some travel is required for internal organization events.</li>\n<li>Cross-functional communication and stakeholder management , Build strong relationships across the organization and represent leaders with discretion and executive maturity.</li>\n<li>Community and mentorship , Share best practices and contribute to the growth of the Business Support discipline.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>7+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper level management.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in relevant field (e.g., Business Administration, Human Resources, Marketing, Communications, Psychology, Sociology) OR equivalent experience.</li>\n<li>4+ years experience serving as mentor or direct/indirect (e.g., team leader) supervisor to others.</li>\n<li>5+ years experience reviewing and managing administrative budgets (e.g., for events, morale, travel, training).</li>\n<li>Experience working in fast-paced, dynamic environments, with the ability to stay organized, prioritize tasks, and exercise good judgment.</li>\n<li>Proactive problem-solving skills, and self-starter attitude to anticipate needs, identify issues early, and implement practical solutions without direction.</li>\n<li>Highly organized and excels at prioritizing competing demands, managing multiple deadlines, and setting clear expectations with stakeholders.</li>\n<li>Adaptable and calm under pressure; comfortable with ambiguity and rapid change, able to pivot priorities while maintaining quality.</li>\n<li>Administrative excellence with meticulous attention to detail and consistent follow-through on tasks, actions, and documentation.</li>\n<li>Strong communicator with proven clear, concise writing and active listening skills as well as high emotional intelligence when working with senior leaders and cross-functional teams.</li>\n<li>Proven relationship builder, fostering trust across teams, collaborating effectively, and representing leaders with professionalism and discretion.</li>\n<li>Demonstrated continuous improver; curious about new tools and workflows, proactively seeks time-saving solutions and drives process improvements.</li>\n<li>Technical familiarity with experience with Microsoft Office or similar technologies to effectively collaborate across the team.</li>\n</ul>","enriched_at":1781882994092},{"id":"job_c9c3df86-590","title":"Principal Software Engineer","source_url":"https://microsoft.ai/job/principal-software-engineer-82/","location":"Redmond, WA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Join the Microsoft AI Web Data Platform Team as a Principal Software Engineer, in a technical leadership capacity, to architect platforms and deliver Internet scale web documents, with full richness to Ground LLMs for 1st party Copilots and 3rd party AI solutions.</p>\n<p>In this role, you&#39;ll play a key role in building large scale platforms that are fundamental to Bing Search, AI Grounding and Microsoft AI training driving transformative scenarios powering massive scale of users while processing tens of billions of documents per day and managing hundreds of petabytes of data. A suitable candidate will bring a blend of expertise in large-scale data platforms &amp; AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Align team efforts with business and user requirements by collaborating with stakeholders to define priorities, resolve dependencies, and ensure delivery of well-documented design and implementation plans for products, applications, services, or platforms.</li>\n<li>Guide system design and architectural decisions across multiple components, encouraging the use of data and telemetry to make informed decisions.</li>\n<li>Drive engineering excellence by fostering a culture of building modular, secure, reliable, testable, maintainable, and reusable solutions, while promoting active monitoring practices.</li>\n<li>Establish quality assurance strategies by setting standards for improving test coverage, streamlining integration testing, and addressing critical problem areas proactively.</li>\n<li>Oversee and improve operational reliability, guiding efforts to troubleshoot and optimize automation, monitoring, and Live Site health.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;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.</li>\n<li>Preferred qualifications include Master&#39;s Degree in Computer Science or related technical field AND 10+ years technical engineering experience, or equivalent experience.</li>\n</ul>","enriched_at":1781882551251},{"id":"job_397a15e3-95d","title":"Senior Principal Architect : Ads Trust & Safety AI Platform","source_url":"https://microsoft.ai/job/senior-principal-architect-ads-trust-safety-ai-platform-3/","location":"Noida, India","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Microsoft Advertising is seeking a Senior Principal Architect to define and drive the next generation of the Ads Trust &amp; Safety AI Platform. This role involves setting technical direction, shaping platform strategy, and building durable systems that protect users, advertisers, and partners.</p>\n<p><strong>Responsibilities</strong></p>\n<h4>AI Platform Architecture and Technical Strategy</h4>\n<ul>\n<li>Define the long-term architecture for the Ads Trust &amp; Safety AI Platform.</li>\n<li>Translate Trust &amp; Safety needs into reusable platform capabilities.</li>\n<li>Establish reference architectures, design principles, and technical standards.</li>\n<li>Drive architecture choices across latency, throughput, quality, cost, and operational safety.</li>\n</ul>\n<h4>Deep Research Agents and AI-Assisted Investigation</h4>\n<ul>\n<li>Architect platform for Deep Research Agents to investigate domains, landing pages, and advertisers.</li>\n<li>Combine retrieval, crawling, structured evidence extraction, and LLM reasoning.</li>\n<li>Implement guardrails for agentic systems, including source provenance and confidence scoring.</li>\n</ul>\n<h4>Entity Intelligence, Decisioning, and Enforcement</h4>\n<ul>\n<li>Architect systems for high-fidelity understanding of domains, websites, and advertisers.</li>\n<li>Design real-time, nearline, and batch scoring systems for policy enforcement and fraud detection.</li>\n</ul>\n<h4>Security, Risk, and Fraud Platform</h4>\n<ul>\n<li>Detect and mitigate adversarial behavior across the advertiser lifecycle.</li>\n<li>Build sequential and event-based risk systems.</li>\n</ul>\n<h4>Cross-Microsoft Collaboration, Industry Learning, and Technical Leadership</h4>\n<ul>\n<li>Collaborate across Microsoft teams to create shared platform capabilities.</li>\n<li>Evangelize a coherent Trust &amp; Safety AI platform strategy.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related field and 15+ years of professional software engineering experience.</li>\n<li>8+ years of senior technical leadership experience.</li>\n<li>Proven experience architecting large-scale production systems.</li>\n<li>Deep technical experience in AI/ML systems, agentic systems, or decisioning systems.</li>\n</ul>\n<p><strong>Preferred Qualification</strong></p>\n<ul>\n<li>Experience in Trust &amp; Safety, Fraud, Abuse, Risk, Security, or Ads Quality.</li>\n<li>Familiarity with Deep Research Agents, investigation agents, or retrieval-augmented generation systems.</li>\n</ul>","enriched_at":1781882396263},{"id":"job_2c967755-cf3","title":"Senior Principal Architect : Ads Trust & Safety AI Platform","source_url":"https://microsoft.ai/job/senior-principal-architect-ads-trust-safety-ai-platform-2/","location":"Hyderabad, India","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Microsoft Advertising is seeking a Senior Principal Architect to define and drive the next generation of the Ads Trust &amp; Safety AI Platform. This role involves setting technical direction, shaping platform strategy, and building durable systems that protect users, advertisers, and partners from harm.</p>\n<h3>Overview</h3>\n<p>The Ads Trust &amp; Safety AI Platform is crucial for protecting users from harmful content, advertisers and publishers from fraud and abuse, and ensuring Microsoft Ads operates with strong policy, privacy, security, compliance, and regulatory integrity.</p>\n<h3>Responsibilities</h3>\n<h4>AI Platform Architecture and Technical Strategy</h4>\n<ul>\n<li>Define the long-term architecture for the Ads Trust &amp; Safety AI Platform across ingestion, signal acquisition, entity intelligence, retrieval, model orchestration, agentic workflows, decisioning, enforcement, human review, audit, and measurement.</li>\n<li>Translate broad Trust &amp; Safety, Risk, Fraud, Security, and Policy needs into reusable platform capabilities.</li>\n<li>Establish reference architectures, design principles, technical standards, and engineering patterns for high-integrity AI and decisioning systems.</li>\n<li>Drive architecture choices across latency, throughput, quality, cost, explainability, governance, reliability, and operational safety.</li>\n<li>Identify critical platform gaps and create a roadmap that balances near-term delivery with long-term leverage.</li>\n</ul>\n<h4>Deep Research Agents and AI-Assisted Investigation</h4>\n<ul>\n<li>Architect platform for Deep Research Agents that investigate domains, landing pages, advertisers, business entities, ownership patterns, web presence, reputation, policy risk, and fraud signals.</li>\n<li>Architect workflows that combine retrieval, crawling, structured evidence extraction, LLM reasoning, policy grounding, risk scoring, and human-in-the-loop review.</li>\n<li>Architect guardrails for agentic systems, including source provenance, confidence scoring, hallucination controls, audit logs, escalation paths, and human override.</li>\n<li>Partner with Applied Science to convert AI research prototypes into production systems with clear quality, latency, cost, reliability, safety, and governance targets.</li>\n</ul>\n<h4>Entity Intelligence, Decisioning, and Enforcement</h4>\n<ul>\n<li>Architect systems for high-fidelity understanding of domains, websites, landing pages, advertisers, business identities, ownership structures, relationship graphs, reputation, and provenance.</li>\n<li>Design real-time, nearline, and batch scoring systems for policy enforcement, fraud detection, abuse prevention, advertiser risk scoring, and marketplace protection.</li>\n<li>Evolve abstractions for model orchestration, feature lookup, signal stores, retrieval, model versioning, decision logging, policy controls, fallbacks, and experimentation.</li>\n</ul>\n<h4>Security, Risk, and Fraud Platform</h4>\n<ul>\n<li>Architect systems to detect, learn, and mitigate adversarial behavior across the advertiser lifecycle.</li>\n<li>Build sequential and event-based risk systems that reason over advertiser behavior over time.</li>\n</ul>\n<h4>Cross-Microsoft Collaboration, Industry Learning, and Technical Leadership</h4>\n<ul>\n<li>Collaborate across Microsoft, Safety, Security, Responsible AI, Identity, and partner teams to create shared platform capabilities for risk detection, abuse prevention, evidence generation, and enforcement governance.</li>\n<li>Evangelize a coherent Trust &amp; Safety AI platform strategy across Microsoft.</li>\n<li>Learn from industry peers and translate those learnings into practical platform improvements.</li>\n</ul>\n<h3>Qualifications</h3>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field AND 15+ years of professional software engineering experience.</li>\n<li>8+ years of senior technical leadership experience influencing engineers, technical leads, architects, applied scientists, or cross-functional engineering teams.</li>\n<li>Proven experience architecting and delivering large-scale production systems.</li>\n<li>Deep technical experience in AI/ML systems, agentic systems, model-serving infrastructure, decisioning systems, distributed systems, data platforms, workflow platforms, risk platforms, security platforms, or Trust &amp; Safety systems.</li>\n<li>Experience building or technically leading production AI/ML systems.</li>\n</ul>\n<h3>Preferred Qualification</h3>\n<ul>\n<li>Deep domain experience in Trust &amp; Safety, Fraud, Abuse, Risk, Security, Ads Quality, Marketplace Integrity, Policy Enforcement, or advertiser protection systems.</li>\n<li>Experience with adversarial systems, including phishing, malware, cloaking, account takeover, payment abuse, fake identities, compromised advertisers, coordinated fraud, and policy evasion.</li>\n<li>Experience building Deep Research Agents, investigation agents, reviewer-assist systems, retrieval-augmented generation systems, LLM-powered operational workflows, or AI systems that produce grounded evidence for human or automated decisions.</li>\n</ul>","enriched_at":1781882032967},{"id":"job_826fcfc3-184","title":"Principal Applied Scientist","source_url":"https://microsoft.ai/job/principal-applied-scientist-46/","location":"Mountain View, United States","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>The Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a passionate and experienced applied scientist architect who wants to build the next generation of recommendations using advanced AI technologies, especially large language models, at scale.</p>\n<p>You will partner closely with engineering, product, and applied science teams to design, optimize, and scale intelligent ranking systems that power personalized content experiences for millions of users.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design &amp; implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.</li>\n<li>Architect the next generation of ranking, reranking, and retrieval systems for large-scale content recommendation scenarios.</li>\n<li>Lead the design of robust, efficient, and extensible ML/DL models pipelines, including feature engineering, model training, evaluation, and online inference.</li>\n<li>Establish technical standards and best practices for experimentation, model governance, and system reliability.</li>\n<li>Drive innovation in model architectures.</li>\n<li>Partner with engineering, product, and platform teams to align roadmaps, integrate new capabilities, and ensure seamless end-to-end delivery.</li>\n<li>Invest in others&#39; growth and mentor team members, fostering a culture of scientific rigor, innovation, and operational excellence.</li>\n<li>Regularly communicate team progress internally and evangelize progress and opportunities to a wider audience including management and leadership.</li>\n<li>Mentor junior scientists and engineers, fostering a culture of technical excellence and knowledge sharing.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.</li>\n<li>Master&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.</li>\n<li>Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience.</li>\n<li>Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.</li>\n<li>8+ years of experiences in applied science, deep learning, or related fields, with a solid track record of delivering production ML systems at scale.</li>\n<li>Expertise in recommendation systems, ranking models, search relevance, or personalization.</li>\n<li>Experience applying LLM techniques or Recommendation system.</li>\n<li>Proficiency in modern ML frameworks.</li>\n<li>Demonstrated ability to lead cross-functional initiatives and influence technical direction across multiple teams.</li>\n<li>Solid communication skills with the ability to articulate complex technical concepts to diverse audiences.</li>\n<li>Experience with LLM-based ranking, agentic AI, or generative AI applied to recommendation or personalization.</li>\n</ul>\n<p>#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.</p>","enriched_at":1781790047427},{"id":"job_5bde90be-627","title":"Principal Applied Scientist","source_url":"https://microsoft.ai/job/principal-applied-scientist-45/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>The Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a passionate and experienced applied scientist architect who wants to build the next generation of recommendations using advanced AI technologies, especially large language models, at scale.</p>\n<p>You will partner closely with engineering, product, and applied science teams to design, optimize, and scale intelligent ranking systems that power personalized content experiences for millions of users.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design &amp; implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.</li>\n<li>Architect the next generation of ranking, reranking, and retrieval systems for large-scale content recommendation scenarios.</li>\n<li>Lead the design of robust, efficient, and extensible ML/DL models pipelines, including feature engineering, model training, evaluation, and online inference.</li>\n<li>Establish technical standards and best practices for experimentation, model governance, and system reliability.</li>\n<li>Drive innovation in model architectures.</li>\n<li>Partner with engineering, product, and platform teams to align roadmaps, integrate new capabilities, and ensure seamless end-to-end delivery.</li>\n<li>Invest in others&#39; growth and mentor team members, fostering a culture of scientific rigor, innovation, and operational excellence.</li>\n<li>Regularly communicate team progress internally and evangelize progress and opportunities to a wider audience including management and leadership.</li>\n<li>Mentor junior scientists and engineers, fostering a culture of technical excellence and knowledge sharing.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.</li>\n<li>Master&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.</li>\n<li>Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience.</li>\n<li>Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.</li>\n<li>8+ years of experiences in applied science, deep learning, or related fields, with a solid track record of delivering production ML systems at scale.</li>\n<li>Expertise in recommendation systems, ranking models, search relevance, or personalization.</li>\n<li>Experience applying LLM techniques or Recommendation system.</li>\n<li>Proficiency in modern ML frameworks.</li>\n<li>Demonstrated ability to lead cross-functional initiatives and influence technical direction across multiple teams.</li>\n<li>Solid communication skills with the ability to articulate complex technical concepts to diverse audiences.</li>\n<li>Experience with LLM-based ranking, agentic AI, or generative AI applied to recommendation or personalization.</li>\n</ul>\n<p>#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.</p>","enriched_at":1781790009226},{"id":"job_094536db-2b2","title":"Principal Software Engineer","source_url":"https://microsoft.ai/job/principal-software-engineer-81/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>As the Principal Software Engineer and technical lead, you will define the long-term technical vision for location services and geospatial platform, drive architectural decisions, and ensure services meet reliability, scalability, and performance requirements.</p>\n<p>You will partner with engineering, product, and operations leaders to deliver mission-critical capabilities powering Microsoft&#39;s global ecosystem, including AI, Search, and Geospatial Intelligence.</p>\n<p>Microsoft&#39;s mission is to empower every person and organization on the planet to achieve more.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead design and implementation for large-scale services, ensuring resiliency, observability, and operational excellence.</li>\n<li>Drive cross-team alignment on platform strategy, APIs, and integration patterns.</li>\n<li>Mentor junior engineers and influence engineering culture across the organization.</li>\n<li>Partner with TPMs to define roadmaps, manage dependencies, and de-risk execution.</li>\n<li>Lead deep technical investigations, incident reviews, and long-term reliability improvements.</li>\n<li>Champion agentic coding and automation, build high-leverage engineering systems, and raise the quality bar.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.</li>\n<li>Ability to meet Microsoft, customer, and/or government security screening requirements.</li>\n</ul>\n<p><strong>Preferred Qualification:</strong></p>\n<ul>\n<li>5+ years building and scaling distributed online services.</li>\n<li>Demonstrated ability to influence across multiple engineering organizations.</li>\n<li>Excellent communication, stakeholder management, and conflict-resolution skills.</li>\n<li>Expert in service architecture, cloud infrastructure, and data-intensive systems.</li>\n<li>Familiarity with location services, geospatial data, online services, and data pipelines is a strong plus.</li>\n</ul>\n<p>The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year.</p>","enriched_at":1781789804233},{"id":"job_0c507f02-a89","title":"Principal Product Marketing Manager","source_url":"https://microsoft.ai/job/principal-product-marketing-manager/","location":"Garden City, United States","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Marketing","description":"<p>Microsoft AI is seeking a Principal Product Marketing Manager to deliver a clear articulation of its product&#39;s value in the marketplace. The successful candidate will own the product narrative for MAI Content, working directly with Product and Engineering to explain how and why MAI Content makes product decisions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the product narrative for MAI Content</li>\n<li>Work directly with Product and Engineering to explain product decisions, including AI-generated content, Publisher Content Marketplace, monetization approaches, and roadmap tradeoffs</li>\n<li>Translate internal product logic into clear external-facing narratives for sales, partners, and publishers</li>\n<li>Articulate MAI Content&#39;s AI principles, quality standards, and guardrails</li>\n<li>Help define and communicate MAI&#39;s principles for AI-generated content</li>\n<li>Partner closely with Product and Policy to ensure external messaging reflects how systems actually work</li>\n<li>Serve as a steward for clarity in areas where AI behavior, evaluation, or tradeoffs are non-obvious</li>\n<li>Define audiences, formats, and ecosystems globally</li>\n<li>Partner deeply with Sales on positioning and revenue growth</li>\n<li>Work with Sales to define new brand and product positioning</li>\n<li>Translate product capabilities into sales-ready narratives that support revenue growth</li>\n<li>Act as a strategic thought partner to Sales leadership on how MAI offerings should be framed in market</li>\n<li>Shape MAI Content&#39;s internal and external communications channels</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Master&#39;s Degree in Marketing, Computer Science, Business or related field AND 4+ years experience in business</li>\n<li>OR Bachelor&#39;s Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business</li>\n<li>OR equivalent experience</li>\n<li>10+ years of experience in Product Marketing, Product Strategy, or adjacent roles at scale</li>\n<li>Experience working on platforms, ecosystems, or AI-driven products</li>\n<li>Proven ability to translate complex product or technical concepts into clear, persuasive narratives</li>\n<li>Exceptional written and verbal communication skills</li>\n<li>Experience working with publishers, creators, or advertising-adjacent ecosystems</li>\n</ul>\n<p>The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 per year.</p>","enriched_at":1781789717667},{"id":"job_94c2dafb-4a9","title":"Principal Software Engineer","source_url":"https://microsoft.ai/job/principal-software-engineer-80/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Join the Web Data Platform Team as a Principal Software Engineer and help revolutionize web document processing and rendering.</p>\n<p>You&#39;ll play a key role in building cutting-edge batch and streaming systems that power Bing Search and Microsoft AI training scenarios. You&#39;ll work with massive scales, processing tens of billions of documents per day and managing hundreds of petabytes of data.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and develop large-scale distributed software services and solutions following modern software engineering practices.</li>\n<li>Collaborate with stakeholders to determine user requirements and drive the development of design documents.</li>\n<li>Perform system design with well-defined interfaces across multiple components, leveraging data/telemetry to inform decisions.</li>\n<li>Develop best-in-class engineering for services, ensuring components are modular, secure, reliable, testable, diagnosable, maintainable, actively monitored, and reusable.</li>\n<li>Improve test coverage, organize and implement integration tests, and resolve problem areas.</li>\n<li>Troubleshoot and optimize automation, reliability, and monitoring for Live Site.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.</li>\n<li>Master&#39;s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<p>The typical base pay range for this role across the U.S. is USD $142,800.00 – $274,800.00 per year.</p>","enriched_at":1781789685532}],"category_normalised":[{"category":"engineering","count":92},{"category":"marketing","count":9},{"category":"operations","count":3}],"velocity":{"weeks":[{"week_start":"2026-03-02","count":15},{"week_start":"2026-04-20","count":15},{"week_start":"2026-04-27","count":3},{"week_start":"2026-05-04","count":7},{"week_start":"2026-05-11","count":8},{"week_start":"2026-05-18","count":6},{"week_start":"2026-05-25","count":11},{"week_start":"2026-06-01","count":12},{"week_start":"2026-06-08","count":7},{"week_start":"2026-06-15","count":21}],"trend":"accelerating","wow_pct":200},"momentum":{"recent_14d":28,"prior_14d":24,"growth_pct":17,"classification":"accelerating"},"salary_vs_industry":{"company_median":191400,"industry_median":191400,"percentile":49,"sample_size":77,"by_region":[{"region":"United States","company_median":191400,"industry_median":null,"sample":75},{"region":"Unknown","company_median":120865,"industry_median":null,"sample":2}],"transparency_pct":75,"industry_transparency_pct":72,"transparency_warning":false},"market_share":{"company_jobs":105,"industry_total":109,"share_pct":96.3,"rank":1,"peer_count":2},"ai_exposure":{"occupation_weighted_score":0.351,"skill_weighted_score":0.46,"top_exposed_titles":[{"title":"Principal Software Engineer","count":10,"score":0.288},{"title":"Principal Applied Scientist","count":10,"score":0.461},{"title":"Senior Applied Scientist","count":8,"score":0.461},{"title":"Principal Product Manager","count":6,"score":0.32},{"title":"Senior Software Engineer","count":5,"score":0.288},{"title":"Senior Software Engineer – Microsoft AI, Copilot","count":3,"score":0.288},{"title":"Senior Applied Data Scientist","count":3,"score":0.46},{"title":"Principal Software Engineer – Data, Personalization","count":3,"score":0.288},{"title":"Principal Product Marketing Manager","count":3,"score":0.32},{"title":"Principal Product Manager, Content Monetization","count":3,"score":0.32}],"top_exposed_skills":[{"skill":"Prompt Engineering","count":4,"score":0.461},{"skill":"Research","count":6,"score":0.461},{"skill":"Multi-Task Learning","count":4,"score":0.461},{"skill":"Personalization","count":4,"score":0.461},{"skill":"Agentic Modeling","count":5,"score":0.461},{"skill":"Predictive Analytics","count":4,"score":0.461},{"skill":"Econometrics","count":14,"score":0.46},{"skill":"Electrical Or Computer Engineering","count":13,"score":0.46},{"skill":"Attribution","count":3,"score":0.46},{"skill":"Counterfactual Evaluation","count":3,"score":0.46}]},"peer_set":[],"skills_lq":[{"skill":"Python","company_count":47,"company_pct":44.8,"industry_pct":25,"lq":1.79,"required_pct":100},{"skill":"Machine Learning","company_count":34,"company_pct":32.4,"industry_pct":75,"lq":0.43,"required_pct":88},{"skill":"Reinforcement Learning","company_count":6,"company_pct":5.7,"industry_pct":25,"lq":0.23,"required_pct":17},{"skill":"Leadership","company_count":3,"company_pct":2.9,"industry_pct":25,"lq":0.11,"required_pct":67},{"skill":"Software Development","company_count":8,"company_pct":7.6,"industry_pct":75,"lq":0.1,"required_pct":88},{"skill":"Machine Learning Frameworks","company_count":4,"company_pct":3.8,"industry_pct":75,"lq":0.05,"required_pct":50}],"geographic_shift":{"current":[{"region":"United States","count":97,"share_pct":93.3},{"region":"India","count":4,"share_pct":3.8},{"region":"Unknown","count":2,"share_pct":1.9},{"region":"United Kingdom","count":1,"share_pct":1}],"emerging":[{"region":"India","recent_30d":3,"prior_30d":1,"growth_pct":200}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":14,"industry_median_days_open":14,"long_open_count":15,"closure_rate_pct":77}}}}