{"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. 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As these experiences rapidly evolve, the underlying infrastructure, hardware platforms, and software systems must evolve with them.</p>\n<p>We are looking for a Principal Software Engineer to help define the future of hardware strategy and performance architecture across Microsoft 365. This role sits at the intersection of large-scale distributed systems, AI workloads, hardware platform evolution, and software performance engineering.</p>\n<p>You will work across engineering, infrastructure, and platform teams to ensure Microsoft 365 is positioned to take full advantage of emerging hardware capabilities while delivering industry-leading performance, efficiency, and scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Drive hardware strategy and hardware-software co-design for Microsoft 365, Copilot, Agents, PAC, and Substrate workloads.</li>\n<li>Define benchmarking, workload characterization, and performance evaluation frameworks used to influence platform and infrastructure decisions across compute, gpu, memory, storage, networking, and accelerator technologies.</li>\n<li>Lead deep technical investigations into performance, efficiency, and scalability challenges across large-scale distributed systems and AI-powered services.</li>\n<li>Partner with Azure, infrastructure, and platform engineering teams to evaluate emerging hardware technologies and translate platform capabilities into meaningful customer and business impact.</li>\n<li>Build the next generation of AI-assisted performance engineering capabilities, enabling faster analysis, diagnosis, optimization, and decision-making across Microsoft 365 services.</li>\n<li>Provide technical leadership across organizational boundaries, influencing architecture, platform direction, and engineering practices at Microsoft 365 scale.</li>\n</ul>\n<p><strong>Qualifications</strong> <strong>Required Qualifications:</strong></p>\n<ul>\n<li>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</li>\n<li>OR equivalent experience.</li>\n</ul>\n<p><strong>Other Requirements:</strong> Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</p>\n<ul>\n<li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li>\n<li>OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li>\n<li>OR equivalent experience.</li>\n<li>Proven track record leading performance, systems, infrastructure, or hardware strategy initiatives for large-scale cloud services.</li>\n<li>Deep understanding of distributed systems, computer architecture, performance engineering, benchmarking, and workload analysis.</li>\n<li>Experience using data, experimentation, and technical analysis to influence platform, architecture, or infrastructure investment decisions.</li>\n<li>Demonstrated ability to lead cross-organizational technical efforts and influence senior engineering leaders.</li>\n<li>Experience applying AI to engineering workflows, performance analysis, diagnostics, optimization, or operational decision-making.</li>\n<li>Experience with AI infrastructure, large-scale inference workloads, retrieval systems, agent platforms, or Copilot-style architectures.</li>\n<li>Experience evaluating emerging hardware platforms and translating hardware capabilities into product and platform advantages.</li>\n<li>Experience building AI-assisted engineering systems for diagnostics, performance analysis, optimization, or operational intelligence.</li>\n</ul>\n<p><strong>Foundation</strong> Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.</p>","enriched_at":1785860039556},{"id":"job_deeebdba-57e","title":"Senior Software Engineer - Firmware + Audio","source_url":"https://microsoft.ai/job/senior-software-engineer-firmware-audio/","location":"Hyderabad, India","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>We are seeking a Senior Software Engineer with deep expertise in audio subsystems to own end-to-end audio delivery on Windows-based Surface devices.</p>\n<p>In this role, you will be the technical authority driving audio bring-up, driver ingestion, quality, and validation across flagship Surface programs – from early platform bring-up.</p>\n<p>You will architect solutions across the hardware-firmware-driver-APO boundary, mentor junior engineers, and collaborate closely with silicon partners, audio processing vendors, and cross-functional teams to deliver a world-class audio experience on premium consumer hardware.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Technical ownership of the audio subsystem for flagship Surface programs, driving milestone exit criteria and ensuring zero-regression driver ingestions.</li>\n<li>Architect and design audio solutions spanning the full stack: hardware endpoints -&gt; 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As a Principal Software Engineer Manager, you will set technical direction, author Azure infrastructure, and grow a healthy, high-performing team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Provide hands-on technical leadership, with experience building and shipping solutions using Large Language Models (LLMs) and Generative AI.</li>\n<li>Lead, attract, hire, mentor, develop, and retain a solid, diverse engineering team.</li>\n<li>Set technical direction for high-scale backend services and their Azure infrastructure.</li>\n<li>Own service reliability and performance as a Designated Responsible Individual (DRI).</li>\n<li>Ensure solid engineering quality, craftsmanship, security, privacy, fraud prevention, and compliance.</li>\n<li>Partner across frontend engineering, product, design, and program management to plan and deliver high-impact services and releases.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’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>Preferred Qualifications:</p>\n<ul>\n<li>3+ years people management experience leading software engineering teams.</li>\n<li>Experience designing, building, and operating high-scale backend services on Azure or a comparable cloud platform.</li>\n<li>Experience with production operations, including on-call, telemetry, and service health monitoring.</li>\n</ul>","enriched_at":1785859885096},{"id":"job_f0c165b1-a18","title":"Principal Software Engineer - Intelligent Decision, Evaluation & Review Platforms","source_url":"https://microsoft.ai/job/principal-software-engineer-intelligent-decision-evaluation-review-platforms-2/","location":"Hyderabad, India","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Microsoft Ads is looking for a hands-on Principal Software Engineer to build the next generation of agentic evaluation, audit, and human-review platforms.</p>\n<p>You will create systems that help teams understand how decisions were made, identify where they fail, investigate supporting evidence, prioritize uncertain or high-impact cases, and turn review outcomes into measurable improvements.</p>\n<p>The platform will connect: production decisions → automated evaluation → agentic investigation → human judgment → system improvement</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect and build scalable platforms for agentic evaluation, production audits, and human-in-the-loop review.</li>\n<li>Develop workflows in which AI agents gather evidence, analyze cases, compare decisions, and assist reviewers while preserving human oversight and accountability.</li>\n<li>Build reviewer experiences that present the right evidence, explanations, uncertainty, and recommended actions at the right time.</li>\n<li>Design distributed orchestration systems for long-running workflows involving models, agents, tools, automated checks, and human decisions.</li>\n<li>Provide technical leadership across engineering, applied science, product, design, operations, and policy teams.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, with 8+ years of relevant industry experience.</li>\n<li>Strong production-coding skills in at least one of C++, C#, Java, Python, or TypeScript.</li>\n<li>Demonstrated experience designing, building, and operating large-scale distributed services or software platforms.</li>\n<li>Strong system-design skills across APIs, workflow orchestration, event-driven systems, storage, concurrency, fault tolerance, and service reliability.</li>\n<li>Experience building AI evaluation, agent orchestration, human-in-the-loop, audit, experimentation, or LLMOps platforms.</li>\n<li>Experience owning substantial systems from initial architecture through rollout, adoption, and production operations.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Background in advertising, trust and safety, fraud, responsible AI, search, recommendations, or another high-scale complex decision domain.</li>\n</ul>","enriched_at":1785859775732},{"id":"job_7c6ade65-a10","title":"Senior Applied Scientist","source_url":"https://microsoft.ai/job/senior-applied-scientist-90/","location":"Redmond, Washington","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>We are seeking a Senior Applied Scientist to join our M365 Core team, focusing on Frontier, a new product that fine-tunes large language models (LLMs) on tenant data.</p>\n<p>The ideal candidate will have research skills and experience in language model training, data pipelines, and shipping high-quality models.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and execute training pipelines for large language models post-training.</li>\n<li>Develop experiments to demonstrate the effectiveness of LLM-based solutions.</li>\n<li>Implement inference solutions incorporating post-trained models.</li>\n<li>Collaborate with the team to ship solutions to customers.</li>\n<li>Document experiments and communicate results.</li>\n<li>Mentor early-career team members.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s, Master&#39;s, or Doctoral degree in a relevant field (Statistics, Computer Science, Electrical Engineering, etc.).</li>\n<li>Relevant experience in statistics, predictive analytics, or research.</li>\n<li>Ability to meet Microsoft security screening requirements.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s or Doctoral degree in a relevant field with additional experience.</li>\n<li>Experience in creating publications, presenting at conferences, and conducting research.</li>\n<li>Familiarity with Python, ML frameworks (e.g., PyTorch), and reinforcement learning.</li>\n<li>Experience training/fine-tuning AI/ML models, particularly LLMs/SLMs.</li>\n</ul>\n<p>The typical base pay range for this role in the U.S. is $119,800 - $234,700 per year, with variations in certain locations.</p>","enriched_at":1785859749622},{"id":"job_e3d8a45c-f43","title":"Senior Software Engineer","source_url":"https://microsoft.ai/job/senior-software-engineer-235/","location":"Mountain View, United States","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>The Copilot Security Engineering team at Microsoft builds systems to detect, evaluate, and defend against emerging AI threats. We are seeking a Senior Software Engineer to lead the design and development of AI threat detection and defense systems that protect Copilot experiences across Microsoft.</p>\n<p>In this role, you will drive solutions from threat identification through production deployment, partnering closely with engineers, security researchers, product teams, and platform organisations. You will help define how Microsoft detects, evaluates, and mitigates emerging AI attacks while building the security capabilities that enable Copilot experiences to operate safely and responsibly for millions of users worldwide.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the design and implementation of AI threat detection systems</li>\n<li>Drive the development of security services, classifiers, evaluation frameworks, telemetry pipelines, and risk assessment systems</li>\n<li>Conduct threat modeling exercises and identify security gaps across AI workflows</li>\n<li>Partner with product teams to translate security requirements into scalable engineering solutions</li>\n<li>Investigate emerging attack techniques and develop durable defenses</li>\n<li>Drive root cause analysis and technical remediation efforts following security incidents</li>\n<li>Influence architectural decisions and engineering investments that improve platform security</li>\n<li>Lead design reviews and mentor engineers through technical guidance and code reviews</li>\n<li>Contribute to technical strategy and roadmap planning for key AI security investments</li>\n<li>Participate in on-call rotations and lead investigations during complex security events</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 4+ years technical engineering experience</li>\n<li>Proficiency in one or more modern programming languages such as C#, C++, Go, Rust, Python, or TypeScript</li>\n<li>Experience designing distributed systems, cloud-native services, or platform infrastructure at scale</li>\n<li>Experience identifying, analyzing, or mitigating security risks in production environments</li>\n</ul>","enriched_at":1785859672441},{"id":"job_a7eee73c-e09","title":"Senior Software Engineer","source_url":"https://microsoft.ai/job/senior-software-engineer-236/","location":"Redmond, WA","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<h3>Overview</h3>\n<p>The Windows Cloud Experiences (WCX) team at Microsoft is seeking a Senior Software Engineer to work on Windows 365 and Azure Virtual Desktop (AVD). WCX is a leader in the Gartner Magic Quadrant for Desktop as a Service (DaaS) and has become a billion-dollar business. As a Senior Software Engineer, you will help secure user connections to Windows PCs in the cloud using Remote Desktop Protocol and establish next-level security against cyber threats.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Independently use artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) to improve processes and practices.</li>\n<li>Lead by example to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications.</li>\n<li>Review product code and test code to ensure it meets team standards and contains correct test coverage.</li>\n<li>Use debugging tools, tests, logs, telemetry, and other methods to proactively verify assumptions while developing code.</li>\n<li>Lead discussions for and own the architecture of products/solutions, creating proposals for architecture by testing design hypotheses.</li>\n<li>Develop design documents that support user stories and other product requirements.</li>\n<li>Drive efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility.</li>\n<li>Act as a designated responsible individual (DRI) and guide other engineers by developing and following the playbook.</li>\n</ul>\n<h3>Qualifications</h3>\n<h4>Required/Minimum Qualifications:</h4>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C or C++.</li>\n</ul>\n<h4>Preferred Qualifications:</h4>\n<ul>\n<li>Master&#39;s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C or C++.</li>\n<li>Experience in modern security technologies such as OpenSSL, NCrypt, OpenID, Entra, WebAuth, and Yubikey.</li>\n<li>Experience in cyber security, responsible disclosure practices, and evaluating and mitigating risks.</li>\n<li>Experience in Windows Internals and distributed systems.</li>\n</ul>\n<h3>Salary Information</h3>\n<p>The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.</p>","enriched_at":1785859645800},{"id":"job_e8cd434e-9ca","title":"Principal Software Engineer","source_url":"https://microsoft.ai/job/principal-software-engineer-113/","location":"Redmond, United States","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Join Microsoft&#39;s Windows Cloud Experiences Team as a Principal Software Engineer to build the future of end-user computing. You&#39;ll lead at both technology and business levels, working on large-scale distributed software services and solutions that integrate Artificial Intelligence (AI) powered experiences.</p>\n<p>The team is transforming personal computing by pushing it to the cloud, enhancing remote experiences, security, and manageability. As a Principal Software Engineer, you&#39;ll help scale the product, innovate, and drive modern software engineering practices.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and develop large-scale distributed software services and solutions.</li>\n<li>Drive modern software engineering practices through design and code reviews.</li>\n<li>Ensure system design through well-defined interfaces, code reviews, and data/telemetry analysis.</li>\n<li>Develop best-in-class engineering for services, focusing on modularization, security, reliability, and monitoring.</li>\n<li>Improve test coverage, organize integration tests, and resolve problem areas.</li>\n<li>Design distributed systems optimizing performance, availability, cost, and resource utilization for AI workloads.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related field AND 6+ years of technical engineering experience with coding in languages like 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 Qualifications</strong></p>\n<ul>\n<li>7+ years of technical engineering experience with coding in languages like C#, Python, C, C++, Java, or JavaScript.</li>\n<li>6+ years of experience leading architecture, design, implementation, and shipping of cloud services or software products.</li>\n<li>Passion for emerging technologies, especially AI infrastructure.</li>\n<li>Experience working across teams to deliver shared solutions to complex problems.</li>\n</ul>\n<p><strong>Salary Information</strong> The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year. For specific locations like the San Francisco Bay area and New York City metropolitan area, the range is USD $188,000 – $304,200 per year.</p>","enriched_at":1785859630474},{"id":"job_214b5928-a88","title":"Software Engineer II - Applied Sciences Group","source_url":"https://microsoft.ai/job/software-engineer-ii-applied-sciences-group/","location":"Zürich","job_type":"full-time","experience_level":"mid","work_arrangement":null,"category":"Engineering","description":"<p>The Spatial AI Lab is part of Microsoft&#39;s Applied Sciences Group, which develops next-generation human-computer interaction technologies using advances in AI, hardware, and device design.</p>\n<p>We are looking for a software engineer to develop intelligent systems and experiences for emerging agents. You will collaborate with scientists, engineers, students, and external research partners across applied research, rapid prototyping, and product development. The work may span AI models, robotics, hardware and software integration, developer tools, data and evaluation systems, and scalable product capabilities.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, implement, test, and maintain software for intelligent systems, prototypes, and product experiences.</li>\n<li>Collaborate with scientists, engineers, and students to translate research ideas and early prototypes into robust implementations.</li>\n<li>Develop and integrate components involving areas such as multimodal AI, computer vision, spatial computing, embodied AI, robotics, data processing, simulation, or hardware integration.</li>\n<li>Evaluate system behavior, investigate technical issues, and improve performance, reliability, and maintainability.</li>\n<li>Apply modern engineering practices, including code reviews, automated testing, documentation, security, privacy, and responsible AI.</li>\n<li>Contribute effectively in a multidisciplinary environment with evolving goals and technical requirements.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>Required Qualifications:</strong></p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s Degree in Computer Science, Robotics, Engineering, or a related technical field OR equivalent experience.</li>\n<li>Experience developing software in one or more programming languages, including but not limited to C++, C#, Python.</li>\n<li>Ability to collaborate across disciplines and learn unfamiliar technologies.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Experience in one or more relevant areas, such as AI or machine learning, computer vision, robotics, simulation, spatial computing, embedded systems, or distributed systems.</li>\n<li>Experience integrating software with machine-learning models, sensors, devices, or other complex systems.</li>\n<li>Experience taking experimental or research-oriented software toward a reliable and maintainable implementation.</li>\n<li>Familiarity with modern development practices and tools, including automated testing, continuous integration, debugging, profiling, and AI-assisted engineering workflows.</li>\n<li>Experience collaborating in research, academic, or multidisciplinary engineering environments.</li>\n</ul>\n<p>The typical base pay range for this role across Switzerland is CHF 119,200.00 – CHF 195,500.00 per year.</p>","enriched_at":1785859587969},{"id":"job_da6cfa75-7df","title":"Principal Product Manager, M365 Core","source_url":"https://microsoft.ai/job/principal-product-manager-m365-core/","location":"Redmond, United States","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Product Management","description":"<p>Microsoft 365 is the world’s leading productivity service, trusted by hundreds of millions of users worldwide. Microsoft 365 Core Platform is at the center of it all. We are building foundational intelligent productivity services, including Copilot, for enterprises spanning emails, calendars, files and messages.</p>\n<p>The Microsoft 365 Core team is responsible for ensuring that the M365 services are always highly available, resilient, durable, performant, compliant and efficient. As Copilot, Agent 365 and Microsoft Graph accelerate into new agentic and AI-driven scenarios, the demands on our platform are changing faster than ever. We are looking for a Principal Product Manager to own the product vision and strategy for M365 Fleet Infrastructure, including Data Availability, Durability, Reliability, Data Protection, Resource Efficiency, Capacity Modeling, Infra Provisioning and Decommissioning, Platform Degradations, and Modernization via Azure.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work with core M365 platform engineering teams to deliver a secure, continuously available, durable, performant, and hyperscale storage platform operated cost-effectively , enabling best-in-class experiences for M365 product customers and Copilot-era AI workloads.</li>\n<li>Define and drive the platform’s evolution to support agentic and AI growth: identifying where current architecture creates retrieval latency, freshness, or capacity constraints for Copilot, Agent 365, and Microsoft Graph , and owning the roadmap to close those gaps ahead of demand.</li>\n<li>Craft a compelling product vision and multi-year strategy for M365 Fleet Infrastructure. Use AI-informed analysis, platform telemetry, and partner signals to rally engineering and leadership around a coherent direction.</li>\n<li>Take end-to-end ownership of key business scenarios , from problem definition and investment framing through technical solution design, partner adoption strategy, and measurable outcomes. Drive clarity in ambiguous spaces and alignment across team and leadership.</li>\n<li>Integrate AI-informed analysis into strategic feature prioritization and investment decisions, with roadmap alignment tied directly to organizational and AI growth objectives.</li>\n<li>Define Key Performance Indicators (KPIs), Quality of Service (QoS) targets, and Service Level Agreements (SLA) metrics for platform areas owned. Track and report progress against them with rigor; use data to drive continuous strategy refinement.</li>\n<li>Enable the Microsoft 365 division to build and run services that power AI and Copilot capabilities by ensuring the M365 core platform meets the performance, reliability, and feature requirements of a diverse and growing customer set.</li>\n<li>Modernize and improve resource utilization efficiency of M365 core platform services, leveraging Azure primitives to evolve the platform while managing continuity and blast radius.</li>\n<li>Drive cross-group collaboration across M365 to align on priorities and deliver outcomes that depend on partner divisions.</li>\n<li>Communicate platform strategy and investment rationale to senior decision-makers , Chief Vice President and Executive Vice President level , in a clear, compelling, and business-outcome-oriented way.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree AND 8+ years experience in product/service/program management or software development</li>\n<li>OR equivalent experience.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree AND 12+ years of experience in product/service/program management or software development,</li>\n<li>OR equivalent experience.</li>\n<li>8+ years of experience driving product strategy and roadmap ownership for platform, infrastructure, or AI/ML systems at hyperscale.</li>\n<li>Experience with AI or agentic workload patterns , retrieval-augmented generation, semantic search, vector or graph storage, stateful agent context , and how platform design choices affect AI product quality and AI user experience.</li>\n</ul>","enriched_at":1785859468165}],"category_normalised":[{"category":"engineering","count":240},{"category":"it","count":11},{"category":"manufacturing","count":8},{"category":"operations","count":3},{"category":"marketing","count":3},{"category":"finance","count":2}],"velocity":{"weeks":[{"week_start":"2026-03-02","count":13},{"week_start":"2026-04-20","count":6},{"week_start":"2026-04-27","count":5},{"week_start":"2026-05-04","count":8},{"week_start":"2026-05-11","count":8},{"week_start":"2026-05-18","count":2},{"week_start":"2026-05-25","count":2},{"week_start":"2026-06-15","count":7},{"week_start":"2026-06-22","count":3},{"week_start":"2026-06-29","count":3},{"week_start":"2026-07-06","count":7},{"week_start":"2026-07-13","count":7},{"week_start":"2026-07-20","count":31},{"week_start":"2026-07-27","count":155},{"week_start":"2026-08-03","count":12}],"trend":"accelerating","wow_pct":-92},"momentum":{"recent_14d":178,"prior_14d":34,"growth_pct":424,"classification":"accelerating"},"salary_vs_industry":{"company_median":177250,"industry_median":177250,"percentile":11,"sample_size":176,"by_region":[{"region":"United States","company_median":177250,"industry_median":null,"sample":169},{"region":"Unknown","company_median":208800,"industry_median":null,"sample":5},{"region":"United Kingdom","company_median":125285.5,"industry_median":null,"sample":2}],"transparency_pct":66,"industry_transparency_pct":66,"transparency_warning":false},"market_share":{"company_jobs":269,"industry_total":269,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.315,"skill_weighted_score":0.462,"top_exposed_titles":[{"title":"Senior Software Engineer","count":38,"score":0.288},{"title":"Principal Software Engineer","count":22,"score":0.288},{"title":"Senior Applied Scientist","count":19,"score":0.461},{"title":"Principal Product Manager","count":15,"score":0.32},{"title":"Principal Applied Scientist","count":9,"score":0.46},{"title":"Sr. Software Engineer--M365 Foundation","count":5,"score":0.288},{"title":"Software Engineer II","count":5,"score":0.288},{"title":"Penetration Tester","count":5,"score":0.311},{"title":"Sr. Software Engineer--M365 Routing Fabric Team","count":4,"score":0.288},{"title":"Principal Applied Scientist - 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