{"data":{"company":{"name":"Microsoft AI","slug":"microsoft-ai","logo_url":"https://logos.yubhub.co/microsoft.ai.png","canonical_domain":"microsoft.ai","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":"https://en.wikipedia.org/wiki/Microsoft","stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":"microsoftai","github_public_repos":0,"github_followers":1,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"Rethinking security for the age of AI - blogs.microsoft.com","url":"https://news.google.com/rss/articles/CBMiigFBVV95cUxPUE1SeFVsNUUtTlBQWG1TN2JZcVl3WWpTYzVudk1iekRabVRoNHNWREtjZ19SSklYOVlPWHZ3YnZ6cVRpTWtaVllFc2xCc09hZUhJdDBPdFBpXzVFTlRtR0xsSEtHSGxxYjdNblpiZTdNOEtpOXh0WEdSdGx5OWFjVlp1VW52YnpPMlE?oc=5","publisher":"blogs.microsoft.com","date":"2026-07-27","snippet":"Rethinking security for the age of AI blogs.microsoft.com"},{"title":"Microsoft touts cost-saving AI model for cybersecurity - CNBC","url":"https://news.google.com/rss/articles/CBMilgFBVV95cUxOUnZFX2lLV3Z4VE5EX25vQ2ZPREJ2bTFaVVRXTnc5dXBqNWNaZE9nWnVUNklzaTFabFFVbWk4UXowc2ZRdndPZEt1NDdGU1Fpbk9fOF82dWFMVlNibU9wUWdsZ0NXQTBYZnd0SzJDVE1aMzFKUGtuOVFjWFI5UlJWcGVkR3NxR29PSkdScTh0MDZlQUVlREHSAZsBQVVfeXFMTU5GWlQ5MUNid1Bnb2JxRzZqd2VyYTZiYjgxeGZrUUZsaHBqSUlVX3pmVHE0QnJUM3hJSzBDRXRiRFdpOTVqdl81Z3JMM1VvLXpwbVUtNWpvaEd2X2N5ZHROOVVZNzJWOXdDanp2TFJJVXoxQU9XLVFkNmt0SnY2ZFdjcjNjajc0VnhKVEZ2VzhXbjRkaG9pdjZ3UjA?oc=5","publisher":"CNBC","date":"2026-07-27","snippet":"Microsoft touts cost-saving AI model for cybersecurity CNBC"},{"title":"Microsoft Unveils A.I. Cybersecurity Tools - The New York Times","url":"https://news.google.com/rss/articles/CBMilgFBVV95cUxQZ0lHLTJiZXVFeUZGUmE5N3k1SVktb0xZa0NESkNuc1dNZUs0TzN1YXlkR1NjSDN6WWVtdEJFRDlGdk1MMzJ2aXA0V0dHLVlHOGcwV1pSUS1zY0stUHIyY1NoY0sxalFtTlZERGpKaGZ1eUlycGNOOFYxM29iYW13bldXNGZUdVJuQjlmUzFKd05wLXl4dWc?oc=5","publisher":"The New York Times","date":"2026-07-27","snippet":"Microsoft Unveils A.I. Cybersecurity Tools The New York Times"},{"title":"Microsoft AI's CMO is leaving as the company rethinks consumer marketing efforts - Business Insider","url":"https://news.google.com/rss/articles/CBMilgFBVV95cUxOQWhlakxOekEtVlpOUlRmc2tKT1FWX2xCMzdOOEdEQ2dZRDA5TGkxRFhPOXpaNXdnTHZVMnZNTFJwbGw4SERUcTZPUE5LeTNaS2MxMFAtV1VfaGZiMHNhZlFYMUxleV83X1dlTWw4WW85TEFQa1dhdVZTc2lQWGpqaW00UGRTZ1FRcDYzMnBxNGxrYjgtYnc?oc=5","publisher":"Business Insider","date":"2026-08-19","snippet":"Microsoft AI's CMO is leaving as the company rethinks consumer marketing efforts Business Insider"},{"title":"Meta Has Quietly Become One of Microsoft’s Largest AI Customers - Yahoo Finance","url":"https://news.google.com/rss/articles/CBMingFBVV95cUxPOFJzOTN6dkpqYWhtdkJDMjZkS2tsS2RzaXAzZ1JkdWVvckFmR1RKRDQwYzByU2JrWVM0YkIxRTNDdTlQZW4wZXpabjVrY2U0UGlSV0ZqUHp4bkxqdnFfYVdvWkpvQ3c4bkM1Ml9qQ2RVRTJPVXZFVkIxNHRwMVhvUU5iX2VUdVR5ZWdDbGt0WUV6VXZIUnVqdUVqQy1NZw?oc=5","publisher":"Yahoo Finance","date":"2026-08-20","snippet":"Meta Has Quietly Become One of Microsoft’s Largest AI Customers Yahoo Finance"}],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":307704,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"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":["github","news"],"last_enriched_at":"2026-03-20T16:24:38.634Z"},"hiring":{"total_jobs":16,"categories":[{"category":"engineering","count":11},{"category":"design","count":2},{"category":"it","count":1},{"category":"business development","count":1},{"category":"business","count":1}],"experience_levels":[{"level":"senior","count":15},{"level":"mid","count":1}],"work_arrangements":[{"arrangement":"hybrid","count":4},{"arrangement":"onsite","count":2}],"top_titles":[{"title":"Product Partnerships, MAI Health","count":2},{"title":"Product Designer - MAI Health","count":2},{"title":"Principal TPM, Data Acquisition Operations and Governance","count":2},{"title":"Member of Technical Staff - Applied AI Lead, Health","count":2},{"title":"Technical Program Manager - Health AI Research","count":1},{"title":"Technical Program Management, Model Development","count":1},{"title":"Software Engineer AI Infra","count":1},{"title":"Member of Technical Staff - Privacy Engineer, Health","count":1},{"title":"Member of Technical Staff - Principal Software Engineer - Health Privacy & Compliance","count":1},{"title":"Member of Technical Staff - Data Flywheel Infra, Frontier Models","count":1},{"title":"Member of Technical Staff - Applied AI Software Engineer, Health","count":1},{"title":"Clinical Specialist","count":1}],"locations":[{"location":"london","count":8},{"location":"redmond, wa","count":1},{"location":"new york","count":1},{"location":"multiple locations","count":1},{"location":"mountain view, ca","count":1},{"location":"mountain view","count":1},{"location":"enfield","count":1}],"skills":[{"skill":"Python","required":5,"preferred":0,"total":5},{"skill":"Software Engineering","required":4,"preferred":0,"total":4},{"skill":"Healthcare Technology","required":0,"preferred":4,"total":4},{"skill":"Data Engineering","required":1,"preferred":3,"total":4},{"skill":"Business Development","required":3,"preferred":0,"total":3},{"skill":"Healthcare","required":1,"preferred":2,"total":3},{"skill":"Research","required":1,"preferred":2,"total":3},{"skill":"Generative AI","required":0,"preferred":3,"total":3},{"skill":"Privacy Engineering","required":2,"preferred":0,"total":2},{"skill":"Health Technology","required":1,"preferred":1,"total":2},{"skill":"Ai/ml Systems","required":0,"preferred":2,"total":2},{"skill":"Cloud Platforms","required":0,"preferred":2,"total":2},{"skill":"LLM Evaluations","required":2,"preferred":0,"total":2},{"skill":"LLM Orchestration","required":2,"preferred":0,"total":2},{"skill":"Conversational AI","required":0,"preferred":2,"total":2},{"skill":"Machine Learning Research","required":2,"preferred":0,"total":2},{"skill":"Security","required":2,"preferred":0,"total":2},{"skill":"C#","required":2,"preferred":0,"total":2},{"skill":"Java","required":2,"preferred":0,"total":2},{"skill":"Technical Program Management","required":2,"preferred":0,"total":2}],"salary_stats":{"count":15,"min":127650,"q1":127650,"median":127650,"q3":208800,"max":231000},"job_types":[{"type":"full-time","count":16}],"latest_jobs":[{"id":"job_0fbb2522-085","title":"Technical Program Management, Model Development","source_url":"https://microsoft.ai/job/technical-program-management-model-development/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>At Microsoft AI, we build the frontier models and products that reach millions of people, from pretraining through post-training, evaluation, and launch.</p>\n<p>We are looking for a Technical Program Manager with deep, hands-on technical program management experience to support model development at MAI.</p>\n<p>As TPM, you will own end-to-end execution across the model development lifecycle, partnering with research and applied science leads to shape goals, priorities, and success metrics, and managing planning, milestones, dependencies, and risk across training, evaluation, and launch.</p>\n<p>You’ll be the connective tissue between research, engineering, product, and safety teams, translating fast-changing research priorities into clear plans, reasoning about trade-offs in data, compute, and evaluation methodology, and surfacing risks to leadership before they become blockers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own end-to-end execution of complex technical programs across the model development lifecycle, partnering with research and applied science leads to translate research goals into clear plans, milestones, and success metrics.</li>\n<li>Reason about technical trade-offs in model training, evaluation, data, and infrastructure, and coordinate across research, engineering, and product to keep training and evaluation work unblocked.</li>\n<li>Communicate program status, risk, and trade-offs clearly to stakeholders and leadership, bringing lightweight structure to fast-moving, ambiguous research work.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Significant experience in technical program management, with a track record of delivering complex, cross-functional programs, ideally spanning pretraining, post-training, or evaluation.</li>\n<li>Technical fluency to reason about model training, evaluation methodology, data, and infrastructure trade-offs, and engage credibly with researchers and engineers.</li>\n<li>Strong written and verbal communication skills, with a track record of driving alignment and influencing without formal authority.</li>\n</ul>\n<p>Technical Program Management IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year.</p>","enriched_at":1789838204478},{"id":"job_3f4c7ad9-dcf","title":"Principal TPM, Data Acquisition Operations and Governance","source_url":"https://microsoft.ai/job/principal-tpm-data-acquisition-operations-and-governance-2/","location":"Redmond, WA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Microsoft AI, we are building advanced AI systems that help people and organizations achieve more. Our work depends on strong commercial partnerships that provide high-quality specialized data services responsibly and at scale.</p>\n<p>This role sits at the heart of our Microsoft AI Lab organization, reporting to lab senior leadership. We’re looking for an experienced, hands-on leader to people manage and drive vendor data acquisition: identifying prospective partners, shaping commercial opportunities, negotiating agreements, and ensuring vendors deliver against commitments.</p>\n<p>You will own the vendor data acquisition pipeline end to end, from translating business and technical needs into sourcing priorities through market outreach, diligence, negotiation, contracting, and delivery oversight. The work includes managing vendor relationships and structuring novel agreements for data and services that may not have been commercially available before.</p>\n<p>The ideal candidate is a heavy user of AI and a hands-on commercial operator who has worked directly between technical teams and external partners, is comfortable owning complex negotiations personally, and builds repeatable systems that scale vendor sourcing and deal execution.</p>\n<p>This role is based in Mountain View, CA. or Redmond, WA. You are required to be in the office 4 days per week.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Manage a high-performing team of data strategy and operations professionals aligned to key data acquisition verticals across the Microsoft AI lab.</li>\n<li>Partner with technical and business stakeholders to define vendor data needs and translate them into clear sourcing strategies, requirements, and commercial opportunities.</li>\n<li>Source, evaluate, and engage prospective data vendors and strategic partners across global markets, including providers of licensed content, specialized data, and human-generated data services.</li>\n<li>Lead commercial diligence, deal structuring, contract negotiation, and ongoing vendor management, balancing business value, quality, rights, risk, cost, and speed.</li>\n<li>Build and oversee scalable procurement and vendor-management processes, including acquisition pipelines, vendor spend, contractual milestones, renewals, and delivery commitments.</li>\n<li>Coordinate cross-functional initiatives across Business Development, Procurement, Legal, Privacy, Compliance, Finance, Engineering, and technical stakeholders to move opportunities from initial outreach through executed agreement and delivery.</li>\n<li>Develop durable executive relationships with key vendors, resolve escalations, identify new partnership models, and advance the AI frontier responsibly while embodying Microsoft’s culture and values.</li>\n</ul>\n<h4>Qualifications</h4>\n<h5>Required Qualifications</h5>\n<ul>\n<li>Bachelor’s Degree AND 8+ years of experience in business strategy, business development, procurement, commercial partnerships, vendor management, program management, finance, or equivalent experience.</li>\n<li>2+ years of management experience leading vendor data acquisition, complex commercial partnerships, procurement programs, or comparable vendor-facing functions.</li>\n<li>Experience building and leading a team.</li>\n<li>Demonstrated track record sourcing vendors, leading diligence, negotiating complex agreements, and building scalable systems for pipeline, spend, milestones, and vendor performance.</li>\n<li>Experience operating in a fast-moving technical or research environment where priorities shift quickly and requirements may be underspecified.</li>\n</ul>\n<h5>Preferred Qualifications</h5>\n<ul>\n<li>Bachelor’s Degree AND 10+ years of experience in business development, data licensing, procurement program management, commercial partnerships, vendor management, or equivalent experience.</li>\n<li>3+ years of management experience leading large-scale vendor data acquisition or strategic data partnerships for an AI, technology, content, research, or data-services organization.</li>\n<li>Fluency with data rights, licensing, privacy, and commercial terms, and comfort working with legal and compliance partners on novel questions.</li>\n</ul>\n<p>Technical Program Management 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":1789838188798},{"id":"job_c8f5b5e1-968","title":"Principal TPM, Data Acquisition Operations and Governance","source_url":"https://microsoft.ai/job/principal-tpm-data-acquisition-operations-and-governance/","location":"Mountain View, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Microsoft AI, we are building advanced AI systems that help people and organizations achieve more. Our work depends on strong commercial partnerships that provide high-quality specialized data services responsibly and at scale.</p>\n<p>This role sits at the heart of our Microsoft AI Lab organization, reporting to lab senior leadership. We’re looking for an experienced, hands-on leader to people manage and drive vendor data acquisition: identifying prospective partners, shaping commercial opportunities, negotiating agreements, and ensuring vendors deliver against commitments.</p>\n<p>You will own the vendor data acquisition pipeline end to end, from translating business and technical needs into sourcing priorities through market outreach, diligence, negotiation, contracting, and delivery oversight. The work includes managing vendor relationships and structuring novel agreements for data and services that may not have been commercially available before.</p>\n<p>The ideal candidate is a heavy user of AI and a hands-on commercial operator who has worked directly between technical teams and external partners, is comfortable owning complex negotiations personally, and builds repeatable systems that scale vendor sourcing and deal execution.</p>\n<p>This role is based in Mountain View, CA. or Redmond, WA. You are required to be in the office 4 days per week.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Manage a high-performing team of data strategy and operations professionals aligned to key data acquisition verticals across the Microsoft AI lab.</li>\n<li>Partner with technical and business stakeholders to define vendor data needs and translate them into clear sourcing strategies, requirements, and commercial opportunities.</li>\n<li>Source, evaluate, and engage prospective data vendors and strategic partners across global markets, including providers of licensed content, specialized data, and human-generated data services.</li>\n<li>Lead commercial diligence, deal structuring, contract negotiation, and ongoing vendor management, balancing business value, quality, rights, risk, cost, and speed.</li>\n<li>Build and oversee scalable procurement and vendor-management processes, including acquisition pipelines, vendor spend, contractual milestones, renewals, and delivery commitments.</li>\n<li>Coordinate cross-functional initiatives across Business Development, Procurement, Legal, Privacy, Compliance, Finance, Engineering, and technical stakeholders to move opportunities from initial outreach through executed agreement and delivery.</li>\n<li>Develop durable executive relationships with key vendors, resolve escalations, identify new partnership models, and advance the AI frontier responsibly while embodying Microsoft’s culture and values.</li>\n</ul>\n<h4>Qualifications</h4>\n<h5>Required Qualifications</h5>\n<ul>\n<li>Bachelor’s Degree AND 8+ years of experience in business strategy, business development, procurement, commercial partnerships, vendor management, program management, finance, or equivalent experience.</li>\n<li>2+ years of management experience leading vendor data acquisition, complex commercial partnerships, procurement programs, or comparable vendor-facing functions.</li>\n<li>Experience building and leading a team.</li>\n<li>Demonstrated track record sourcing vendors, leading diligence, negotiating complex agreements, and building scalable systems for pipeline, spend, milestones, and vendor performance.</li>\n<li>Experience operating in a fast-moving technical or research environment where priorities shift quickly and requirements may be underspecified.</li>\n</ul>\n<h5>Preferred Qualifications</h5>\n<ul>\n<li>Bachelor’s Degree AND 10+ years of experience in business development, data licensing, procurement program management, commercial partnerships, vendor management, or equivalent experience.</li>\n<li>3+ years of management experience leading large-scale vendor data acquisition or strategic data partnerships for an AI, technology, content, research, or data-services organization.</li>\n<li>Fluency with data rights, licensing, privacy, and commercial terms, and comfort working with legal and compliance partners on novel questions.</li>\n</ul>\n<p>Technical Program Management 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":1789838128882},{"id":"job_d382e24c-6c1","title":"Software Engineer AI Infra","source_url":"https://microsoft.ai/job/software-engineer-ai-infra/","location":"Multiple Locations","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Engineering","description":"<p>Microsoft AI is seeking a Software Engineer AI Infra to contribute to the development of State-of-the-Art (SOTA) Large Language Models (LLMs).</p>\n<p>As a Software Engineer AI Infra, you will work on building world-class consumer experiences and products in a fast-paced environment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop software systems for pre-training and post-training infrastructure, including benchmarking systems, evaluation, router, and backend systems.</li>\n<li>Gather data and insights to develop the pre-training compute roadmap.</li>\n<li>Contribute to the development of AI models powering innovative products.</li>\n<li>Overcome obstacles to quickly deliver work to users.</li>\n<li>Work in a fast-paced, design-driven product development cycle.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or related technical field and 2+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.</li>\n<li>Master&#39;s degree in Computer Science or related technical field and 3+ years of technical engineering experience, or equivalent experience.</li>\n<li>Experience with generative AI, distributed computing, and leading technical projects.</li>\n</ul>\n<p>Salary ranges from $102,100 to $202,200 per year, depending on location and experience.</p>","enriched_at":1789219861646},{"id":"job_b942f47f-67d","title":"Member of Technical Staff - Applied AI Software Engineer, Health","source_url":"https://microsoft.ai/job/member-of-technical-staff-applied-ai-software-engineer-health/","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We&#39;re responsible for ensuring that Microsoft AI&#39;s models and services are useful, trusted, and safe across diverse customer health journeys.</p>\n<p>We are looking for engineers with experience designing and building LLM-based products, and taking them through to production. You will play a pivotal role in establishing Copilot as the leader in safe, informative, trustworthy, and useful health information.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Be a key cross-functional team member, and close collaborator to product teams. Make significant contributions from translating research into benchmarks to co-authoring product roadmap.</li>\n<li>Design and build evaluation systems that test LLM capabilities in the healthcare domain, and interpret and communicate results.</li>\n<li>Run experiments to determine how different prompting techniques affect results on internal and industry benchmarks.</li>\n<li>Improve the tooling that is used internally to implement, run, and analyze evaluations.</li>\n<li>Design internal benchmarking and regression testing capabilities that capture model accuracy, safety, and utility.</li>\n</ul>\n<h3>Qualifications</h3>\n<h4>Required Qualifications</h4>\n<ul>\n<li>Bachelor&#39;s or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research.</li>\n<li>Experience building with and around LLMs including prompt / context and harness engineering.</li>\n<li>Deep expertise in evaluating and understanding the performance of agents.</li>\n<li>Experience collaborating in cross-functional teams, working through ambiguity to deliver high-quality results.</li>\n<li>Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.</li>\n<li>Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.</li>\n</ul>\n<h4>Preferred qualifications</h4>\n<ul>\n<li>Experience in healthcare technology, or experience in the health domain.</li>\n<li>Experience with data engineering – handling text dataset sourcing, curation, and processing tasks at scale.</li>\n<li>Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.</li>\n<li>Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies and patterns in AI.</li>\n</ul>\n<p>The typical base pay range for this role across the United Kingdom is £93,500.00 – £161,800.00 per year.</p>","enriched_at":1787975718761},{"id":"job_06dfd0b0-8d8","title":"Member of Technical Staff - Data Flywheel Infra, Frontier Models","source_url":"https://microsoft.ai/job/member-of-technical-staff-data-flywheel-infra-frontier-models-2/","location":null,"job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>We are looking for a Data Flywheel Infrastructure Engineer to build the infrastructure that continuously turns 1P data, 3P data, model signals, evaluation results, and synthetic data into high-quality training data for frontier LLM and multimodal models.</p>\n<p>This role owns the systems connecting Data Acquisition → Governance &amp; Compliance → Curation → Training → Evaluation → Failure Mining → Data Improvement.</p>\n<p>A critical part of the role is enabling aggressive data iteration while ensuring that every dataset is secure, policy-compliant, rights-aware, traceable, and auditable.</p>\n<p>Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team, created to push the boundaries of AI toward Humanist Superintelligence,ultra-capable systems that remain controllable, safety-aligned, and anchored to human values.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Build 1P &amp; 3P Data Flywheel Infrastructure: scalable systems for ingesting, processing, curating, versioning, and serving first-party and third-party data for pre-training and post-training.</li>\n<li>Own Data Governance, Security &amp; Compliance Infrastructure: build governance and policy enforcement directly into the data platform.</li>\n<li>Build Policy-Aware Data Acquisition &amp; Curation Systems: develop automated pipelines for 1P and 3P data ingestion, classification, filtering, deduplication, quality scoring, semantic enrichment, and dataset construction.</li>\n<li>Build Evaluation-to-Data Feedback Loops: convert model evaluations and real-world failure signals into actionable data tasks.</li>\n<li>Build Synthetic &amp; AI-Native Data Pipelines: use LLMs, VLMs, and Agents to automate data generation, labeling, filtering, quality validation, enrichment, and transformation.</li>\n<li>Build Data Quality, Attribution &amp; Observability: develop metrics and infrastructure to measure dataset quality, coverage, diversity, contamination, duplication, policy compliance, and contribution to model capability improvements.</li>\n</ul>\n<h3>Qualifications</h3>\n<ul>\n<li>Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.</li>\n<li>Software Engineering experience using Python, SQL, Spark/Flink/Ray.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience managing third-party datasets, data partnerships, licensed content, or externally sourced data with complex contractual and usage restrictions.</li>\n<li>Experience building privacy- and security-aware systems for first-party product or user data, including isolation, access controls, retention/deletion, and purpose limitation.</li>\n<li>Experience with data clean rooms, privacy-preserving processing, de-identification, confidential computing, or secure data collaboration.</li>\n<li>Experience building evaluation → failure mining → data generation → training feedback loops.</li>\n<li>Experience with synthetic data, model graders, reward signals, hard-example mining, active learning, or data-mixture optimization.</li>\n<li>Experience with multimodal or agentic datasets including text, image, video, audio, web, GUI, tool-use, or interaction trajectories.</li>\n<li>Understanding of Modern LLM training workflows including Pre-training, SFT, RL/post-training, evaluation, and synthetic data.</li>\n<li>Strong understanding of data governance, security, privacy, provenance, access control, and data lifecycle management.</li>\n</ul>\n<h3>Salary Information</h3>\n<p>Data Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year. Data Engineering IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year.</p>","enriched_at":1787888929336},{"id":"job_9d148631-798","title":"Product Designer - MAI Health","source_url":"https://microsoft.ai/job/product-designer-mai-health-2/","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Design","description":"<p>We&#39;re seeking a Principal Product Designer to create end-to-end experiences for our health AI product. You&#39;ll own a key product area, driving design from concept to launch, and collaborate with cross-functional teams to ensure high-quality, user-centred solutions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Deliver world-class AI applications with a focus on craft, quality, trust, and positive impact</li>\n<li>Own a product area, understanding user needs, defining requirements, and managing development and launches</li>\n<li>Communicate effectively across functions, ensuring successful implementation</li>\n<li>Drive projects forward, finding ways to overcome obstacles and deliver results quickly</li>\n<li>Set high standards for excellence and quality</li>\n<li>Work in a fast-paced, design-driven environment, translating business goals into strategy and technical requirements</li>\n<li>Define goals, performance indicators, and experiments, measuring success with data and research</li>\n<li>Collaborate with teams to build exceptional consumer-grade applications</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Master&#39;s or Bachelor&#39;s degree in Industrial Design, Product Design, HCI, UX, Interaction Design, or related field</li>\n<li>6+ years of experience in product or service design with a Master&#39;s degree, or 8+ years with a Bachelor&#39;s degree</li>\n<li>Portfolio demonstrating world-class consumer product design experience</li>\n<li>Experience with cross-functional teams, design thinking, and advocating for design outcomes</li>\n<li>Familiarity with the healthcare space is a plus</li>\n</ul>\n<p>The typical base pay range for this role in the United Kingdom is £93,500.00 – £161,800.00 per year.</p>","enriched_at":1787272894763},{"id":"job_22a4a8f9-4e7","title":"Product Designer - MAI Health","source_url":"https://microsoft.ai/job/product-designer-mai-health/","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Design","description":"<p>We&#39;re seeking a Principal Product Designer to create end-to-end experiences for our health AI product. You&#39;ll own a key product area, driving design from concept to launch, and collaborate with cross-functional teams to deliver world-class products that empower users and promote positive health outcomes.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and ship world-class AI applications with a focus on craft, quality, trust, and positive impact</li>\n<li>Own a product area, understanding user needs, defining requirements, and managing development and launches</li>\n<li>Communicate effectively with cross-functional teams, including engineering, product managers, and designers</li>\n<li>Set the bar for excellence and quality in design</li>\n<li>Translate business goals into strategy, user experience, and technical requirements</li>\n<li>Define goals and performance indicators, and measure success with data and research</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Master&#39;s or Bachelor&#39;s degree in Industrial Design, Product Design, Human Computer Interaction, or related field</li>\n<li>6+ years of experience in product or service design for Master&#39;s degree holders, or 8+ years for Bachelor&#39;s degree holders</li>\n<li>Portfolio or work samples demonstrating experience in shipping consumer products</li>\n<li>Experience with design thinking, influencing design outcomes, and collaborating with engineering</li>\n<li>Familiarity with the healthcare space is a plus</li>\n</ul>\n<p>The typical base pay range for this role in the United Kingdom is £93,500.00 – £161,800.00 per year.</p>","enriched_at":1787184031368},{"id":"job_e96e682e-ddc","title":"Clinical Specialist","source_url":"https://microsoft.ai/job/clinical-specialist/","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"IT","description":"<p>At Microsoft AI, our Health team is on a mission to build and serve medical superintelligence at global scale. We&#39;re responsible for ensuring that Microsoft AI&#39;s models and services are useful, trusted, and safe across diverse health journeys. For this role, the Health team at Microsoft AI is looking for a hands-on, product-focused clinician who will sit inside an engineering-heavy cross-functional team, and who is excited about contributing to the next generation of systems that will transform the field.</p>\n<p><strong>Responsibilities</strong></p>\n<p>As a member of Microsoft AI&#39;s Health team, you will:</p>\n<ul>\n<li>Contribute to prompting, prototyping, building agents, scripting, and data analysis</li>\n<li>Define evaluation strategies, and create the tests, datasets, and LLM scorers needed to know whether a system is safe and working</li>\n<li>Collaborate with and bridge the gap between clinicians, researchers, product, designers, engineering, and partnership teams</li>\n<li>Contribute to safety, ethics, and privacy policies, and identify gaps in our tools, technologies, and methods to ensure overall rigour</li>\n<li>Contribute to the clinical direction of our team&#39;s efforts, bringing a clinician&#39;s judgement to what we build and in what order</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>Required/minimum qualifications:</strong></p>\n<ul>\n<li>Medical Degree with more than 2 years of associated postgraduate clinical experience</li>\n<li>Experience working in the health AI space (in academic or industry settings), including developing, evaluating, and deploying health AI products</li>\n<li>Hands-on AI engineering experience</li>\n<li>A track record of owning things end-to-end , founding or leading a project, company, charity, PhD, or wearing multiple hats at an early-stage startup</li>\n<li>Comfort with ambiguity and uncertainty, and the ability to work at high speed with autonomy in a rapidly changing environment</li>\n<li>Pragmatism about when something is good enough to ship, and when it&#39;s not</li>\n<li>Strong collaboration, communication, and presentation skills</li>\n<li>Ability to produce high-quality written and presentation materials with excellent attention to detail</li>\n</ul>\n<p><strong>Additional or preferred qualifications:</strong></p>\n<ul>\n<li>Higher degree (e.g., Masters or PhD) in a related field</li>\n</ul>\n<p>The typical base pay range for this role across the United Kingdom is £93,500.00 – £161,800.00 per year.</p>","enriched_at":1787183427398},{"id":"job_455061cf-72e","title":"Technical Program Manager - Health AI Research","source_url":"https://microsoft.ai/job/technical-program-manager-health-ai-research/","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>At Microsoft AI, our Health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing.</p>\n<p>We&#39;re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting-edge research into transformative products for millions of users across Microsoft&#39;s consumer ecosystem.</p>\n<p>We&#39;re looking for an exceptional Technical Program Manager to lead health AI research programs end-to-end, turning research goals into measurable outcomes. You&#39;ll bring deep technical fluency and partner closely with applied AI scientists, researchers, engineers, product managers, and partners across Responsible AI, Compliance, and Legal, among others, to bring structure, drive alignment, and accelerate execution.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Partner with research and applied AI science to shape goals, priorities, and success metrics, and own end-to-end execution of complex health AI research programs – managing planning, milestones, dependencies, and risks across the model development lifecycle.</li>\n<li>Drive cross-functional execution across research, engineering, clinical, product, and compliance, acting as the connective tissue between teams – translating requirements, managing trade-offs, and keeping critical paths unblocked.</li>\n<li>Steer model development and launch readiness against clear safety, quality, privacy, and clinical criteria, and own the operational health of training and evaluation runs, including compute and resource planning.</li>\n<li>Bring structure and enablement to fast-moving research – establishing lightweight operating mechanisms and maintaining the artefacts that keep teams aligned.</li>\n<li>Communicate progress, risks, and plans, distilling complex technical information into clear insights for leadership, and advocate for the resourcing and focus the team needs to deliver.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<h3>To be successful in this role, you’ll bring:</h3>\n<ul>\n<li>Several years of experience in technical program management, with a track record of delivering complex, cross-functional programs.</li>\n<li>Experience delivering AI/ML programs spanning research, partnering directly with researchers and applied scientists.</li>\n<li>Technical fluency to reason about model training, evaluation methodology, data, and infrastructure trade-offs, engage credibly with researchers and engineers, and stay current on emerging AI approaches.</li>\n<li>Ability to bring clarity to complex, ambiguous, and changing research challenges, and comfort doing so at pace.</li>\n<li>Strength in translating requirements across research, product, engineering, clinical, and partners such as Compliance, Legal, and Responsible AI, sustaining strong relationships under pressure.</li>\n<li>Strong written and verbal communication, with the ability to influence without authority and align stakeholders with different priorities.</li>\n<li>A collaborative way of working that fosters accountability, rigour, and continuous improvement.</li>\n</ul>\n<h3>Additional experience that helps:</h3>\n<ul>\n<li>Experience in health AI, healthcare technology, or other regulated software environments.</li>\n<li>Advanced degree in a technical field (CS/ML) or Life Sciences/ Medicine.</li>\n</ul>\n<p>Technical Program Management IC5 – The typical base pay range for this role across United Kingdom is £ 93,500.00 – £ 161,800.00 per year.</p>","enriched_at":1784803123101}],"category_normalised":[{"category":"engineering","count":11},{"category":"design","count":2},{"category":"it","count":1},{"category":"sales","count":1}],"velocity":{"weeks":[{"week_start":"2026-05-04","count":2},{"week_start":"2026-07-06","count":3},{"week_start":"2026-07-13","count":1},{"week_start":"2026-07-20","count":1},{"week_start":"2026-08-17","count":3},{"week_start":"2026-08-24","count":2},{"week_start":"2026-09-07","count":1},{"week_start":"2026-09-14","count":3}],"trend":"accelerating","wow_pct":200},"momentum":{"recent_14d":4,"prior_14d":2,"growth_pct":100,"classification":"stable"},"salary_vs_industry":{"company_median":162115.5,"industry_median":null,"percentile":null,"sample_size":15,"by_region":[{"region":"United Kingdom","company_median":162115.5,"industry_median":null,"sample":8},{"region":"United States","company_median":231000,"industry_median":null,"sample":4},{"region":"Unknown","company_median":162115.5,"industry_median":null,"sample":3}],"transparency_pct":94,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":16,"industry_total":16,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.217,"skill_weighted_score":0.249,"top_exposed_titles":[{"title":"Product Designer - MAI Health","count":2,"score":0},{"title":"Member of Technical Staff - Applied AI Lead, Health","count":2,"score":0.288}],"top_exposed_skills":[{"skill":"Software Engineering","count":4,"score":0.288},{"skill":"Python","count":5,"score":0.288},{"skill":"Data Engineering","count":4,"score":0.288},{"skill":"Healthcare Technology","count":4,"score":0.239},{"skill":"Generative AI","count":3,"score":0.096}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United Kingdom","count":8,"share_pct":57.1},{"region":"United States","count":4,"share_pct":28.6},{"region":"Unknown","count":2,"share_pct":14.3}],"emerging":[{"region":"United States","recent_30d":3,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":40,"industry_median_days_open":null,"long_open_count":2,"closure_rate_pct":90}}}}