{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/ai-research"},"x-facet":{"type":"skill","slug":"ai-research","display":"Ai Research","count":61},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_50fb3460-886"},"title":"Research Operations, Economic Research","description":"<p>We are seeking a strong operator to serve as the operational backbone of our Economic Research team. Your overarching mandate is twofold: 1) clear the brush so our researchers can efficiently execute on key research priorities, and 2) ensure research aspirations and findings translate into concrete policy and commercial outcomes.</p>\n<p>In this role, you will drive execution on the team&#39;s research initiatives, such as economic index releases, economic briefs and working papers, agents research, Clio observability analyses, and Anthropic interviewer deployments. You will also work backward from business deadlines to set research deadlines/milestones and plan out team capacity.</p>\n<p>Key responsibilities include ensuring smooth operating cadence and relationship touchpoints with our research ecosystem, partnering with colleagues on Research, Public Policy, Communications, and GTM to organise briefings and campaigns that amplify key research findings, and supporting the team lead in setting quarterly research priorities and resource allocation.</p>\n<p>We are looking for someone with a 5+ year track record managing and delivering on business-critical, cross-functional initiatives, who can quickly gain state on technical domains and navigate organisational complexity, building relationships and influencing without authority.</p>\n<p>Sample projects include building a living tracker for critical research workstreams, managing contracting and vendor relationships for commissioned research projects, and coordinating cross-functional alignment for a major academic research partnership.</p>\n<p>The annual compensation range for this role is $180,000-$210,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_50fb3460-886","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5154112008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180,000-$210,000 USD","x-skills-required":["project management","research operations","cross-functional collaboration","data analysis","communication skills"],"x-skills-preferred":["AI research","economic research","policy analysis","data visualisation","public speaking"],"datePosted":"2026-04-18T16:00:30.078Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Research","industry":"Technology","skills":"project management, research operations, cross-functional collaboration, data analysis, communication skills, AI research, economic research, policy analysis, data visualisation, public speaking","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1ab22bcd-bdc"},"title":"Product Marketing Lead, GenAI","description":"<p>At Scale, we&#39;re looking for a Product Marketing Lead to join our team. As a Product Marketing Lead, you will own positioning and messaging for Scale&#39;s GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers.</p>\n<p>You will lead the content and social strategy for Scale Labs&#39; dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community. You will build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.</p>\n<p>You will partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business. You will develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.</p>\n<p>You will collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.</p>\n<p>Ideally, you&#39;d have 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences. You should have strong technical fluency and passion for AI, with the ability to hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.</p>\n<p>You should also have experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners. You should have excellent written communication and storytelling skills, with the ability to make complex technical concepts compelling without oversimplifying them.</p>\n<p>Nice to haves include familiarity with the AI training data market, or adjacent data and infrastructure spaces, as well as an existing network or relationships within the AI research community.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1ab22bcd-bdc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4675758005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$155,200-$194,000 USD","x-skills-required":["product marketing","technical product marketing","AI/ML fundamentals","data quality","delivery speed","multimodal breadth","competitive intelligence","social media marketing","content strategy","community management"],"x-skills-preferred":["familiarity with AI training data market","adjacent data and infrastructure spaces","existing network or relationships within AI research community"],"datePosted":"2026-04-18T15:59:46.570Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"product marketing, technical product marketing, AI/ML fundamentals, data quality, delivery speed, multimodal breadth, competitive intelligence, social media marketing, content strategy, community management, familiarity with AI training data market, adjacent data and infrastructure spaces, existing network or relationships within AI research community","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":155200,"maxValue":194000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6f598f99-758"},"title":"Senior+ Software Engineer, Research Tools","description":"<p>We&#39;re looking for a Senior+ Software Engineer to join our Research Tools team. As a member of this team, you&#39;ll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.</p>\n<p>This role sits at the intersection of product thinking and full-stack engineering. You&#39;ll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you&#39;re building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.</p>\n<p>We&#39;re looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results</li>\n<li>Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions</li>\n<li>Design intuitive interfaces and abstractions that make complex research tasks accessible and 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ability to operate independently in ambiguous environments</li>\n<li>Can quickly develop deep understanding of complex technical domains</li>\n<li>Have strong product instincts and can identify the right problems to solve</li>\n<li>Are proficient with modern web technologies (React, TypeScript, Python, etc.)</li>\n<li>Have a track record of building user-facing applications that are actually used and loved by their target audience</li>\n<li>Communicate effectively with both technical and non-technical stakeholders</li>\n<li>Care about the societal impacts of your work and are motivated by Anthropic&#39;s mission</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience building research tools, scientific software, or experimentation platforms</li>\n<li>Background in machine learning, AI research, or working closely with ML researchers</li>\n<li>Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools</li>\n<li>Built 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The successful candidate will establish and lead the Customer Programs function, responsible for engaging with strategic customers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build the Customer Programs function, defining the strategy, hiring the team, and establishing the operating model with PMM, Strategic Events, Solutions, ABM, and Sales leadership.</li>\n<li>Serve as the single accountable owner to the CCO and Sales leadership for Customer Advisory Boards and executive customer engagement.</li>\n<li>Own the governed strategic-account audience, maintaining a named list of executives and decision-makers across lighthouse accounts.</li>\n<li>Design and run the portfolio of high-touch customer programs, including CAB charter and membership, EBC intake and programming, early access customer selection and feedback loops, co-marketing fund deployment, and customer reference and speaker bench.</li>\n<li>Act as the voice of strategic customers inside Anthropic, bringing their priorities and feedback into Product, GTM, and leadership forums.</li>\n<li>Coordinate the asks made of top customers across the company to ensure intentional engagement.</li>\n<li>Own reporting on account coverage, engagement depth, and program-influenced expansion to Sales and Marketing leadership.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years in B2B enterprise marketing, customer marketing, or executive programs, including 4+ years leading a team.</li>\n<li>Built or significantly scaled an executive customer programs function at a high-growth enterprise technology company.</li>\n<li>Demonstrated executive presence with Fortune 500 C-suite and VP-level customers.</li>\n<li>Experience designing programs from an audience-first model.</li>\n<li>Strong cross-functional operating skills.</li>\n<li>Comfort owning a number.</li>\n<li>Clear written and verbal communication.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The annual compensation range for this role is $255,000-$320,000 USD.</p>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.</li>\n<li>Visa sponsorship: We do sponsor visas!</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you&#39;re interested in this role, please submit your application through our careers page.</p>\n<p><strong>What We Offer</strong></p>\n<p>At Anthropic, we believe that the highest-impact AI research will be big science. We work as a single cohesive team on just a few large-scale research efforts. 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We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications.</p>\n<p>We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team.</p>\n<p>This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems</li>\n</ul>\n<ul>\n<li>Own production rollouts of consumer and internally facing GenAI applications</li>\n</ul>\n<ul>\n<li>Serve as a trusted technical advisor to customers across a variety of domains</li>\n</ul>\n<ul>\n<li>Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy</li>\n</ul>\n<ul>\n<li>Minimum of 5+ years of relevant experience as a Data Scientist preferably working in a consulting role</li>\n</ul>\n<ul>\n<li>Expertise in deploying production-grade GenAI applications, including evaluation and optimizations</li>\n</ul>\n<ul>\n<li>Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.</li>\n</ul>\n<ul>\n<li>Experience building production-grade machine learning deployments on AWS, Azure, or GCP</li>\n</ul>\n<ul>\n<li>Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience</li>\n</ul>\n<ul>\n<li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike</li>\n</ul>\n<ul>\n<li>Passion for collaboration, life-long learning, and driving business value through AI</li>\n</ul>\n<ul>\n<li>Preferred experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a38ec886-62e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8099751002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GenAI","HuggingFace","LangChain","DSPy","pandas","scikit-learn","PyTorch","AWS","Azure","GCP","Apache Spark"],"x-skills-preferred":["Databricks Intelligence Platform","Mosaic AI research"],"datePosted":"2026-04-18T15:58:10.707Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GenAI, HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, AWS, Azure, GCP, Apache Spark, Databricks Intelligence Platform, Mosaic AI research"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_56a72069-e42"},"title":"Staff+ Software Engineer, Backend","description":"<p><strong>About the Role\\nAnthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai.\\n\\nYou&#39;ll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you&#39;ll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products.\\n\\nYou&#39;ll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models.\\n\\n## Responsibilities\\n### API Core\\nYou&#39;ll build and scale the foundation of the Claude API,the systems that deliver Claude&#39;s intelligence to every developer, from startups to enterprise.\\n\\nYou&#39;ll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models.\\n\\nYou&#39;ll partner closely with inference and safeguards to optimise the full stack.\\n\\n### API Capabilities\\nYou&#39;ll bring frontier model capabilities to developers through the Claude API, owning core features like vision, tool use, and computer use.\\n\\nYou&#39;ll launch new models and ship the primitives that make Claude more capable with every release.\\n\\nYou&#39;ll partner directly with research and inference to productionise what&#39;s next.\\n\\n### API Knowledge\\nYou&#39;ll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time.\\n\\nYou&#39;ll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information.\\n\\nYou&#39;ll partner directly with research to bring state-of-the-art retrieval advancements to developers.\\n\\n### Developer Experience\\nYou’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease.\\n\\nYou’ll build the tools to accelerate developers from idea to deployment.\\n\\nYou&#39;ll help figure out how to leverage Claude to improve developer&#39;s usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude&#39;s current and future capabilities to developers.\\n\\n### API Agents\\nYou&#39;ll focus on building the infrastructure and APIs that enable developers to create powerful agentic applications within the Claude API.\\n\\nYou&#39;ll help developers with agent orchestration through capabilities like tool use, multi-step reasoning, and long-running task execution that allow Claude to take actions and accomplish complex goals on behalf of users.\\n\\nYou&#39;ll partner with research to bring cutting-edge agent capabilities to production.\\n\\n### Enterprise Foundations\\nWe&#39;re looking for a software engineer to join our Enterprise Foundations team,the team that makes Claude enterprise-ready at scale.\\n\\nWhen a Fortune 500 company wants to roll out Claude to 100,000 employees, we&#39;re the team that makes it possible.\\n\\nYou&#39;ll build the foundational systems that large organisations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure.\\n\\nThis work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organisations from adopting Claude broadly.\\n\\n## Requirements\\n\\n<em>   Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent\\n\\n</em>   Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations , and can reach into the frontend when needed to ship an effective solution\\n\\n<em>   Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer-facing products\\n\\n</em>   Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems\\n\\n<em>   Take a product-focused approach to your work and care about building solutions that are robust, scalable, and easy to use\\n\\n</em>   Care deeply about investing in the mentorship and growth of your peers\\n\\n<em>   Have experience with distributed systems, API design, and cloud infrastructure at scale\\n\\n</em>   Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward\\n\\n## Preferred Qualifications\\n\\n<em>   Served as a technical lead or architect on a product or API platform, owning both the technical vision and execution end-to-end\\n\\n</em>   Experience designing and scaling APIs with a focus on developer experience, consistency, and reliability , including API design review processes\\n\\n<em>   Deep experience building enterprise SaaS platforms, including permissions infrastructure, billing and pricing systems, or compliance frameworks for regulated industries (SO2, HIPAA)\\n\\n</em>   Background in a specific industry vertical , financial services, healthcare, or legal technology , with a track record of building products that handle sensitive, domain-specific data\\n\\n<em>   Experience partnering with ML/AI research teams to productise model capabilities or identify and address model failure modes in production\\n\\n</em>   Experience building agentic systems, orchestration frameworks, or developer tools , including CLI tools, IDE integrations, or AI-assisted coding environments\\n\\n<em>   Experience building products where adoption and activation are core challenges , instrumenting funnels, diagnosing drop-off, and shipping the product changes that close gaps\\n\\n</em>   Experience designing operational processes (incident response, on-call rotations, postmortem review) for production systems serving large-scale developer or enterprise audiences\\n\\n## Salary\\n\\nThe annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $405,000-$485,000 USD</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_56a72069-e42","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5174755008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["backend","product engineer","API design","cloud infrastructure","distributed systems","API design review processes","permissions infrastructure","billing and pricing systems","compliance frameworks","regulated industries","HIPAA","SO2","ML/AI research teams","model capabilities","model failure modes","agentic systems","orchestration frameworks","developer tools","CLI tools","IDE integrations","AI-assisted coding environments","adoption and activation","funnel instrumentation","drop-off diagnosis","product changes","operational processes","incident response","on-call rotations","postmortem review"],"x-skills-preferred":["technical lead","architect","product platform","API platform","technical vision","execution end-to-end","developer experience","consistency","reliability","enterprise SaaS platforms"],"datePosted":"2026-04-18T15:55:47.939Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend, product engineer, API design, cloud infrastructure, distributed systems, API design review processes, permissions infrastructure, billing and pricing systems, compliance frameworks, regulated industries, HIPAA, SO2, ML/AI research teams, model capabilities, model failure modes, agentic systems, orchestration frameworks, developer tools, CLI tools, IDE integrations, AI-assisted coding environments, adoption and activation, funnel instrumentation, drop-off diagnosis, product changes, operational processes, incident response, on-call rotations, postmortem review, technical lead, architect, product platform, API platform, technical vision, execution end-to-end, developer experience, consistency, reliability, enterprise SaaS platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0a47dd78-a8f"},"title":"Solutions Architect, Applied AI (Beneficial Deployments)","description":"<p>As a Solutions Architect, Applied AI at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives across India to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers across India throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences across India. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers across India integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>7+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.</li>\n</ul>\n<ul>\n<li>We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.</li>\n</ul>\n<ul>\n<li>We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.</li>\n</ul>\n<ul>\n<li>As such, we greatly value communication skills.</li>\n</ul>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. 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This is a rare opportunity to plan and deliver internal events that help drive connection, collaboration and knowledge sharing across multiple locations, time zones and disciplines.</p>\n<p>Our internal events play a key role in helping to shape and amplify Google DeepMind&#39;s culture, enabling collaboration and celebrating key moments for the organisation at an important stage of our journey.</p>\n<p>As an Events Manager, you will be embedded in the GenAI Unit and will focus on events and experiences for this groundbreaking team whose mission is to build state of the art models and accelerate intelligent experiences across Google&#39;s platforms and products.</p>\n<p>You will partner with teams across Google DeepMind and Google to deliver a variety of events across the globe including Town Halls, Summits, hackathons, offsites and celebrations to drive collaboration, knowledge sharing and connection at scale.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Own and strategically develop the full suite of GenAI Unit events programs, from large scale team events to intimate team gatherings.</li>\n</ul>\n<ul>\n<li>Respond nimbly to briefs from stakeholders to create event experiences in support of specific objectives, often with short lead times.</li>\n</ul>\n<ul>\n<li>Adapt and innovate, bringing fresh and innovative approaches in an ever-changing environment.</li>\n</ul>\n<ul>\n<li>Manage end to end event delivery and execution of large scale 2500+person events as well as small activations (for example: team summits, leadership meetings, launch celebrations).</li>\n</ul>\n<ul>\n<li>Domestic and international travel for global events programs.</li>\n</ul>\n<ul>\n<li>Create detailed project plans and timelines, tracking workstreams and deliverables, and flagging and mitigating risks.</li>\n</ul>\n<ul>\n<li>Create detailed briefs (documents and presentations) for executive stakeholders.</li>\n</ul>\n<ul>\n<li>Build budgets, tracking spend and processing contracts and purchase orders.</li>\n</ul>\n<ul>\n<li>Consult and partner with teams within the GenAI unit and across Google DeepMind (Events &amp; Experiences, Enterprise Engineering, Workplace, Comms, Marketing etc) coordinating cross functional working groups to deliver seamless experiences that meet the agreed objectives.</li>\n</ul>\n<ul>\n<li>Brief and collaborate with external agencies and internal Google vendor partners on venue, technical production and logistics requirements.</li>\n</ul>\n<ul>\n<li>Track and analyze agreed event metrics to assess success and to inform future event programs.</li>\n</ul>\n<ul>\n<li>Ensure all events are compliant with Google&#39;s health and safety, regulatory, and other governance policies, providing a secure and welcoming environment for all.</li>\n</ul>\n<p>To set you up for success as an Events Manager at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>Exceptional attention to detail.</li>\n</ul>\n<ul>\n<li>Exceptional end to end project management skills and proven experience managing high complexity events through the full lifecycle, including planning, budgeting, execution, and retrospectives.</li>\n</ul>\n<ul>\n<li>Ability to throttle. 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deployment.</li>\n</ul>\n<ul>\n<li>Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).</li>\n</ul>\n<ul>\n<li>Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.</li>\n</ul>\n<ul>\n<li>Ability to work in a fast-paced environment and adapt to changing priorities.</li>\n</ul>\n<p>Preferred Skills:</p>\n<ul>\n<li>Experience with generative AI research or applications.</li>\n</ul>\n<ul>\n<li>Contributions to open-source projects.</li>\n</ul>\n<ul>\n<li>Experience working in, or founding early stage startups.</li>\n</ul>\n<ul>\n<li>Experience delivering software solutions in a fast-paced, customer-facing environment.</li>\n</ul>\n<p>If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!</p>\n<p>The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b372d3eb-ee1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7561938","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$197,000 - $291,000 + bonus + equity + benefits","x-skills-required":["Bachelor's degree or equivalent practical experience","8 years of experience in software development, and with data structures/algorithms","5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment","Proven experience in rapidly developing and shipping software products","Deep understanding of software development best practices, including testing & deployment","Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure)","Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc","Ability to work in a fast-paced environment and adapt to changing priorities"],"x-skills-preferred":["Experience with generative AI research or applications","Contributions to open-source projects","Experience working in, or founding early stage startups","Experience delivering software solutions in a fast-paced, customer-facing environment"],"datePosted":"2026-04-18T15:54:04.942Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor's degree or equivalent practical experience, 8 years of experience in software development, and with data structures/algorithms, 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment, Proven experience in rapidly developing and shipping software products, Deep understanding of software development best practices, including testing & deployment, Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure), Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc, Ability to work in a fast-paced environment and adapt to changing priorities, Experience with generative AI research or applications, Contributions to open-source projects, Experience working in, or founding early stage startups, Experience delivering software solutions in a fast-paced, customer-facing environment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":197000,"maxValue":291000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2ff13306-80c"},"title":"Staff+ Software Engineer, Backend","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai.</p>\n<p>You&#39;ll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; 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Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs.</p>\n<ul>\n<li>API Core: You&#39;ll build and scale the foundation of the Claude API,the systems that deliver Claude&#39;s intelligence to every developer, from startups to enterprise.</li>\n<li>API Capabilities: You&#39;ll bring frontier model capabilities to developers through the Claude API, owning core features like vision, tool use, and computer use.</li>\n<li>API Knowledge: You&#39;ll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time.</li>\n<li>Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease.</li>\n<li>API Agents: You&#39;ll focus on building the infrastructure and APIs that enable developers to create powerful agentic applications within the Claude API.</li>\n<li>Enterprise Foundations: We&#39;re looking for a software engineer to join our Enterprise Foundations team,the team that makes Claude enterprise-ready at scale.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent.</li>\n<li>Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations , and can reach into the frontend when needed to ship an effective solution.</li>\n<li>Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer-facing products.</li>\n<li>Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems.</li>\n<li>Take a product-focused approach to your work and care about building solutions that are robust, scalable, and easy to use.</li>\n<li>Care deeply about investing in the mentorship and growth of your peers.</li>\n<li>Have experience with distributed systems, API design, and cloud infrastructure at scale.</li>\n<li>Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Served as a technical lead or architect on a product or API platform, owning both the technical vision and execution end-to-end.</li>\n<li>Experience designing and scaling APIs with a focus on developer experience, consistency, and reliability , including API design review processes.</li>\n<li>Deep experience building enterprise SaaS platforms, including permissions infrastructure, billing and pricing systems, or compliance frameworks for regulated industries (SO2, HIPAA).</li>\n<li>Background in a specific industry vertical , financial services, healthcare, or legal technology , with a track record of building products that handle sensitive, domain-specific data.</li>\n<li>Experience partnering with ML/AI research teams to productize model capabilities or identify and address model failure modes in production.</li>\n<li>Experience building agentic systems, orchestration frameworks, or developer tools , including CLI tools, IDE integrations, or AI-assisted coding environments.</li>\n<li>Experience building products where adoption and activation are core challenges , instrumenting funnels, diagnosing drop-off, and shipping the product changes that close gaps.</li>\n<li>Experience designing operational processes (incident response, on-call rotations, postmortem review) for production systems serving large-scale developer or enterprise audiences.</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>The annual compensation range for this role is $405,000-$485,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2ff13306-80c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5174755008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["backend systems","APIs","cloud infrastructure","distributed systems","API design","product development","team leadership","communication","influence","mentorship","growth"],"x-skills-preferred":["API design review processes","enterprise SaaS platforms","permissions infrastructure","billing and pricing systems","compliance frameworks","regulated industries","ML/AI research teams","agentic systems","orchestration frameworks","developer tools","CLI tools","IDE integrations","AI-assisted coding environments"],"datePosted":"2026-04-18T15:52:35.822Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend systems, APIs, cloud infrastructure, distributed systems, API design, product development, team leadership, communication, influence, mentorship, growth, API design review processes, enterprise SaaS platforms, permissions infrastructure, billing and pricing systems, compliance frameworks, regulated industries, ML/AI research teams, agentic systems, orchestration frameworks, developer tools, CLI tools, IDE integrations, AI-assisted coding environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4058e871-680"},"title":"Senior+ Software Engineer, Research Tools","description":"<p>As a Senior+ Software Engineer on the Research Tools team at Anthropic, you will play a critical role in building the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.</p>\n<p>This role sits at the intersection of product thinking and full-stack engineering. You will work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you&#39;re building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.</p>\n<p>We&#39;re looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.</p>\n<p>No ML or Research experience is required.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results</li>\n<li>Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions</li>\n<li>Design intuitive interfaces and abstractions that make 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We want AI to be safe and beneficial for our users and for society as a whole.\\n\\nApply using this link. The next cohort of Anthropic fellows starts on July 20, 2026. Apply by April 26, 2026 to be considered for this cohort. We will continue accepting applications for later cohorts on a rolling basis. In exceptional circumstances, we may be able to accommodate fellows starting outside of usual cohort timelines.\\n\\nThis page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.\\n\\nAnthropic Fellows Program overview\\n\\nThe Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.\\n\\nFellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.\\n\\nWe run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.\\n\\nWhat to expect\\n\\n- 4 months of full-time research \\n\\n- Direct mentorship from Anthropic researchers \\n\\n- Access to a shared workspace (in either Berkeley, California or London, UK)\\n\\n- Connection to the broader AI safety and security research community\\n\\n- Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)\\n\\n- Funding for compute (~$15k/month) and other research expenses\\n\\nInterview process\\n\\nThe interview process will include an initial application &amp; reference check, technical assessments &amp; interviews, and a research discussion. \\n\\nCompensation\\n\\nThe expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).\\n\\nFellows workstreams\\n\\nDue to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.\\n\\nSome of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:\\n\\n- AI Safety Fellows\\n\\n- AI Security Fellows\\n\\n- ML Systems &amp; Performance Fellows\\n\\n- Reinforcement Learning Fellows\\n\\n- Economics &amp; Societal Impacts Fellows\\n\\nAcross the workstreams, you may be a good fit if you:\\n\\n- Are motivated by making sure AI is safe and beneficial for society as a whole\\n\\n- Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic\\n\\n- Have a strong technical background in computer science, mathematics, or physics\\n\\n- Thrive in fast-paced, collaborative environments\\n\\n- Can implement ideas quickly and communicate clearly\\n\\nStrong candidates may also have:\\n\\n- Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)\\n\\n- Experience in areas of research or engineering related to their workstream\\n\\nCandidates must be:\\n\\n- Fluent in Python programming\\n\\n- Available to work full-time on the Fellows program\\n\\nML Systems &amp; Performance Fellows\\n\\nMentors, research areas, &amp; past projects\\n\\nFellows will undergo a project selection &amp; mentor matching process. Potential mentors include:\\n\\n- Alwin Peng\\n\\n- Zygi Straznickas\\n\\nNote: You may research mentors&#39; prior work, but all applications must go through the official form, not the mentors.\\n\\nFor a past example of an engineering-heavy project, see:\\n\\n- AI agents find $4.6M in blockchain smart contract exploits\\n\\nProjects in this workstream may include:\\n\\n- Building a CPU simulator for accelerator workloads\\n\\n- Adding backends for different accelerators on an open source project\\n\\n- Building on demand infrastructure for other infrastructure heavy fellows projects \\n\\n- Building complex synthetic data or environment pipelines\\n\\nUnique candidate criteria\\n\\nYou might be a particularly great fit for this workstream if you:\\n\\n- Have strong software engineering skills with experience building complex ML systems\\n\\n- Can balance research exploration with engineering rigor and operational reliability\\n\\n- Enjoy collaborating across research and engineering disciplines\\n\\n- Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)\\n\\n- Have experience with training, fine-tuning, or evaluating large language models\\n\\n- Are adept at analyzing and debugging model training processes\\n\\nLogistics\\n\\nLogistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.\\n\\nWorkspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.\\n\\nVisa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.\\n\\nProgram Duration: The program runs for 4 months, full-time. If you can&#39;t commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.\\n\\nPlease note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.\\n\\nApplications and interviews are managed by Constellation, our official recruiting partner for this program. Constellation also runs the Berkeley workspace that hosts fellows. Clicking &quot;Apply here&quot; will redirect you to Constellation&#39;s application portal. You can expect to receive emails from Constellation with application updates.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_062d8648-c7c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183051008","x-work-arrangement":"remote","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python programming","AI research","Machine learning","Software engineering","Research and development","Collaboration","Communication","Problem-solving","Analytical thinking"],"x-skills-preferred":["Large language models","Distributed systems","High-performance computing","Trading","Synthetic data","Environment pipelines"],"datePosted":"2026-04-18T15:50:38.472Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; 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Your job is to translate our technical breakthroughs, national partnerships, policy positions and corporate initiatives into clear, compelling narratives that drive trust in Google DeepMind amongst key opinion formers.</p>\n<p>Key responsibilities:</p>\n<p>Strategic Narrative &amp; Advocacy</p>\n<ul>\n<li>Develop and execute proactive communications strategies that advance Google DeepMind’s corporate reputation and policy goals.</li>\n<li>Translate complex technical concepts into accessible language for policymakers, civic society, academics and industry experts.</li>\n<li>Lead communication campaigns that help ready governments and key opinion formers around the world for AI and AGI advancements, as well as highlight how our technologies are being used for public benefit in areas including science, education, safety and security.</li>\n</ul>\n<p>Media Relations &amp; Stakeholder Engagement</p>\n<ul>\n<li>Build and maintain deep relationships with top-tier policy and tech journalists primarily in the UK and US.</li>\n<li>Collaborate closely with Google Communications teams around the world, sharing plans and consulting with central / local comms teams to develop media engagement plans that serve Google and GDM’s objectives. Ensure a unified voice on global AI policy matters.</li>\n<li>Act as a trusted advisor to senior executives and policy specialists, prepare them for high-stakes interviews across broadcast and digital, speaking opportunities including high profile industry events, as well as government testimonies.</li>\n<li>Manage reactive communications and crisis response for sensitive policy issues, working quickly to correct misinformation and articulate the company’s principles.</li>\n</ul>\n<p>Cross-Functional Collaboration</p>\n<ul>\n<li>Partner closely with the Public Policy, Public Engagement, Education, Legal, Safety &amp; Responsibility and Executive Communications teams to align external messaging with internal priorities, progress and corporate strategy.</li>\n<li>Collaborate with Google GCPA teams.</li>\n<li>Draft high-quality written materials, including op-eds, blog posts, press releases, briefing documents and social media material.</li>\n</ul>\n<p>About You</p>\n<p>In order to set you up for success at Google DeepMind, we look for the following skills and experience:</p>\n<p>Minimum Qualifications</p>\n<ul>\n<li>Bachelor’s degree or equivalent practical experience.</li>\n<li>8+ years of experience in corporate communications, public affairs, or media relations, with a specific focus on AI, broader technology policy, or regulated industries.</li>\n<li>Proven track record of managing high-profile media relations and crisis communications in a fast-paced environment.</li>\n<li>Demonstrable experience translating dense technical or regulatory information into clear, persuasive narratives.</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li>Experience working in-house at a leading technology company, AI research lab, or within a government/regulatory body.</li>\n<li>Deep understanding of the current global AI policy landscape (e.g., EU AI Act, AI Safety Summit Series, US Executive Orders).</li>\n<li>Existing network of relationships with key policy and tech reporters in London, and/or Washington D.C.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_94377533-e28","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7771735","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"contract","x-salary-range":null,"x-skills-required":["corporate communications","public affairs","media relations","AI policy","regulated industries","technical writing","crisis communications"],"x-skills-preferred":["experience working in-house at a leading technology company","AI research lab","government/regulatory body","global AI policy landscape","key policy and tech reporters"],"datePosted":"2026-04-18T15:39:10.806Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"corporate communications, public affairs, media relations, AI policy, regulated industries, technical writing, crisis communications, experience working in-house at a leading technology company, AI research lab, government/regulatory body, global AI policy landscape, key policy and tech reporters"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a9c991df-d04"},"title":"Manager of Solutions Architecture, Applied AI (Industries)","description":"<p>As the Manager of the Applied AI Architect team for Northern European Industries at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic&#39;s products (Claude for Enterprise, Claude Code, and API) across our Industries accounts: large enterprises across all non-tech verticals in the UK, Ireland and the Nordics.</p>\n<p>You&#39;ll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers&#39; 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Insurance, Healthcare, Telco, Retail and others.</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role</li>\n<li>3+ years of technical go-to-market management experience, specifically managing pre-sales teams</li>\n<li>Experience working with and selling to large enterprise customers across multiple verticals</li>\n<li>Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare &amp; Life Sciences)</li>\n<li>A proven knowledge of the Northern European market and its local specificities (regulatory, cultural, technical…)</li>\n<li>Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and/or scoping large enterprise adoption programs</li>\n<li>Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases</li>\n<li>Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments</li>\n<li>An organisational mindset and enjoy building foundational teams in a relatively unstructured environment</li>\n<li>Excellent communication, collaboration, and coaching abilities</li>\n<li>Comfort dealing with highly uncertain, ambiguous, and fast-moving environments</li>\n<li>Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams</li>\n<li>High-level familiarity with the architecture and operation of LLM and/or ML in general</li>\n<li>Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems</li>\n<li>Ability to make ambiguous problems clear and identify core principles that can translate across scenarios</li>\n<li>A passion for making powerful technology safe and societally beneficial</li>\n<li>Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks</li>\n<li>A track record of staying current with emerging AI research and industry trends or similar.</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>10+ years technical experience</li>\n<li>5+ years managing AI technical teams in hypergrowth (ideally from 10 to 50+)</li>\n<li>Previous experience leading solutions architect or pre-sales teams through rapid growth</li>\n<li>Proven experience and understanding across all key non-tech industry verticals, in particular the regulated industries: Financial Services, Insurance, Healthcare, Life Sciences, Telco, Retail, Consumer Goods, Manufacturing, Oil &amp; 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We provide funding and mentorship to promising technical talent - regardless of previous experience.</p>\n<p>Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission).</p>\n<p>We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.</p>\n<p><strong>What to Expect</strong></p>\n<ul>\n<li>4 months of full-time research</li>\n<li>Direct mentorship from Anthropic researchers</li>\n<li>Access to a shared workspace (in either Berkeley, California or London, UK)</li>\n<li>Connection to the broader AI safety and security research community</li>\n<li>Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)</li>\n<li>Funding for compute (~$15k/month) and other research expenses</li>\n</ul>\n<p><strong>Interview Process</strong></p>\n<p>The interview process will include an initial application &amp; reference check, technical assessments &amp; interviews, and a research discussion.</p>\n<p><strong>Compensation</strong></p>\n<p>The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).</p>\n<p><strong>Fellows Workstreams</strong></p>\n<p>Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.</p>\n<p>Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:</p>\n<ul>\n<li>AI Safety Fellows</li>\n<li>AI Security Fellows</li>\n<li>ML Systems &amp; Performance Fellows</li>\n<li>Reinforcement Learning Fellows</li>\n<li>Economics &amp; Societal Impacts Fellows</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_762f29e0-3f9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5023394008","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python programming","Computer science","Mathematics","Physics","Empirical AI research"],"x-skills-preferred":["Economics","Social sciences","Cybersecurity","Open-source contributions"],"datePosted":"2026-04-18T15:38:33.056Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python programming, Computer science, Mathematics, Physics, Empirical AI research, Economics, Social sciences, Cybersecurity, Open-source contributions"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d2f7de87-5de"},"title":"Chemist (FTC - 12 Month Fixed Term Contract)","description":"<p>Job Title: Chemist (FTC - 12 Month Fixed Term Contract)</p>\n<p>As a Chemist in the Responsible Development &amp; Innovation (ReDI) team at Google DeepMind, you will be a principal architect of the safety protocols governing the intersection of Large Language Models (LLMs) and the chemical sciences. You will design and execute rigorous safety evaluations and inform mitigation strategies that ensure our frontier models accelerate scientific discovery without compromising global security.</p>\n<p>This role is pivotal in deciding when and how our most advanced AI systems are released to the world.</p>\n<p>You will apply your knowledge of chemistry to devise evaluation methodologies (e.g. red-teaming, knowledge elicitation studies, etc.) and contribute to building and running these evaluations on new models. You will analyse the results from evaluations, communicate them clearly to advise and inform decision-makers on the safety of our AI systems, and use them to refine our harm frameworks and inform our mitigation strategies.</p>\n<p>In this role, you will work closely with other Subject-Matter Experts (SMEs) in the chemical, biological, radiological and nuclear domains, Research Engineers and Research Scientists focused on developing AI systems, as well as experts in AI ethics and policy.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Architect of Safety Evaluations: Build rigorous, scalable frameworks to evaluate model proficiency in overcoming key bottlenecks in CWA precursor acquisition, chemical synthesis, and weaponisation.</li>\n<li>Strategic Advisory: Analyse evaluation results to brief executive decision-makers on model safety, directly influencing deployment &#39;Go/No-Go&#39; decisions.</li>\n<li>Harm Framework Innovation: Refine our internal safety taxonomies to account for emergent risks at the intersection of general AI and specialist models like AlphaFold.</li>\n<li>Collaborative Mitigation: Partner with Research Engineers to revise mitigation strategies and refine harm frameworks for identified chemical risks. Work with other SMEs in the chemical, biological, radiological, nuclear, and conventional explosive domains to build a unified defence against CBRNE-related risks.</li>\n<li>External Engagement: Stay abreast of global chemical security trends and international non-proliferation policy through engagement with external international, governmental, and non-governmental organisations.</li>\n</ul>\n<p>About You:</p>\n<p>You are a seasoned scientist who bridges the gap between laboratory chemistry and emerging technology. You are motivated by the challenge of defending complex systems and possess the critical mindset required to anticipate non-obvious misuse scenarios.</p>\n<p>Minimum Qualifications:</p>\n<ul>\n<li>Chemistry Expertise: PhD in synthetic organic chemistry with at least two years post-doctoral or equivalent experience.</li>\n<li>Publication Record: Proven experience publishing as a first author in high-impact general science or chemistry-specific journals, and presenting work at international chemistry conferences. Classified or internal reporting experience will be considered in lieu of public records for candidates from roles in national security.</li>\n<li>Security Domain Expertise: Comprehensive understanding of the Chemical Weapons Convention (CWC) and other national and international CWA agreements/treaties, chemical defence protocols, and the landscape of dual-use research in the chemical domain.</li>\n<li>Systems Thinking: The ability to translate high-level chemical risks into technical requirements for AI safety.</li>\n<li>Communication Excellence: A proven ability in distilling complex technical findings into clear, actionable advice for non-specialist stakeholders.</li>\n</ul>\n<p>Preferred Experience:</p>\n<ul>\n<li>Knowledge of CWA defence, including synthesis, detection, and countermeasures.</li>\n<li>Direct experience with CBRNE mitigation, non-proliferation, or relevant international security stakeholders.</li>\n<li>Familiarity with the machine learning lifecycle and AI Safety Frameworks.</li>\n<li>Experience using and/or developing computational chemistry tools (e.g., AlphaFold, retrosynthesis engines, etc.).</li>\n<li>Working knowledge of the Frontier Safety Framework (FSF), Critical Capability Levels (CCLs), and similar documents published by other leading AI labs.</li>\n<li>Understanding of Google DeepMind AI research output (e.g., AlphaFold, GNoME, WeatherNext, etc.), and AI products (e.g., Gemini, Nano Banana, Genie, etc.).</li>\n<li>Passion for the ethical deployment of frontier technologies and AI policy.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d2f7de87-5de","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7688901","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000 - $244,000 + bonus + equity + benefits","x-skills-required":["PhD in synthetic organic chemistry","Post-doctoral or equivalent experience","Publication record in high-impact general science or chemistry-specific journals","Presentation experience at international chemistry conferences","Comprehensive understanding of the Chemical Weapons Convention (CWC)","Chemical defence protocols","Dual-use research in the chemical domain","Systems thinking","Communication excellence"],"x-skills-preferred":["Knowledge of CWA defence","Direct experience with CBRNE mitigation","Non-proliferation or relevant international security stakeholders","Machine learning lifecycle and AI Safety Frameworks","Computational chemistry tools","Frontier Safety Framework (FSF)","Critical Capability Levels (CCLs)","Google DeepMind AI research output","AI products","Ethical deployment of frontier technologies and AI policy"],"datePosted":"2026-03-16T14:42:42.838Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in synthetic organic chemistry, Post-doctoral or equivalent experience, Publication record in high-impact general science or chemistry-specific journals, Presentation experience at international chemistry conferences, Comprehensive understanding of the Chemical Weapons Convention (CWC), Chemical defence protocols, Dual-use research in the chemical domain, Systems thinking, Communication excellence, Knowledge of CWA defence, Direct experience with CBRNE mitigation, Non-proliferation or relevant international security stakeholders, Machine learning lifecycle and AI Safety Frameworks, Computational chemistry tools, Frontier Safety Framework (FSF), Critical Capability Levels (CCLs), Google DeepMind AI research output, AI products, Ethical deployment of frontier technologies and AI policy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":244000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d7e78450-112"},"title":"Full Stack Java Developer, Associate","description":"<p>About this role</p>\n<p>BlackRock&#39;s Securities Lending business generates both incremental alpha for clients and significant firm revenue—about $3B in gross revenue, including $700M in direct revenue. The business is run by BlackRock Global Markets and Index Investments (BGM), with operations supported by GIO, and is used by 150+ global users through the SecLending Technology Platform. With 90% of trades executed automatically and ~140 orders per second, the platform operates as a high availability, low latency system.</p>\n<p>Securities Lending (SecLending) involves temporarily transferring securities to a borrower for a fee while the lender retains ownership, with the borrower returning the securities on demand or at the end of the agreement.</p>\n<p>About Aladdin</p>\n<p>Aladdin is an operating system for investment managers that connects the information, people, and technology needed to manage portfolios in real time. The platform combines sophisticated risk analytics with comprehensive portfolio management, trading, compliance, and operations tools to power informed decision-making, effective risk management, and scalable operational workflows. Aladdin is delivered to a global community of over 1,000 clients, with more than 100,000 end users worldwide.</p>\n<p>Job Overview</p>\n<p>For Securities Lending to remain market leading, we are not only transforming the capabilities we offer to our clients but also invest in the re-architecture and modernization of the underlying platform and infrastructure. We must evolve Aladdin’s Sec Lending technology delivering a resilient, AI enabled, API-first platform that enables business growth, scale and automation, operational efficiency, and data driven decision making, while positioning Sec Lending technology as a commercial-grade product.</p>\n<p>As Engineer in Inventory Management Squad, your responsibility involves design, build and maintain all Aladdin workflows related to managing the universe of lendable inventory and broadcasting available inventory to platforms and borrowers. This includes but is not limited to, reference data, Analytics, Signals, Grouping &amp; Strategies, Trading Overlays and publishing inventory and targeted availability. Complexity of the Securities Lending business may require “cross-squad” partnership.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Design, build and deploy Securities Lending apps end to end owning frontend, backend APIs, data/AI features.</li>\n<li>Write reusable, maintainable, and extensible code, and create documentation for team members.</li>\n<li>Collaborate with cross-functional, globally distributed teams to deliver high-performing and reliable software solutions aligned with business goals.</li>\n<li>Champion a culture of quality within the organization, driving awareness and consistency with Quality standards.</li>\n<li>Guide and mentor junior team members from both technical and functional standpoint. Foster a culture of continuous improvement and accountability within the team.</li>\n<li>Break down complex technical problems into clear, actionable tasks and make informed architectural decisions that balance long-term strategy with short-term needs.</li>\n<li>Proactively identify project risks, create mitigation plans, and escalate issues when necessary to maintain project timelines and quality.</li>\n<li>Oversee production readiness, early life support, and post-release stability including root cause analysis and remediation strategies.</li>\n<li>Stay current with emerging technologies (including Kafka and other streaming platforms), assess their potential impact, and guide their adoption within product and platform roadmaps.</li>\n<li>Promote continuous learning and facilitate upskilling initiatives to match evolving tech landscapes.</li>\n<li>Operate independently with minimal supervision while providing strategic guidance to junior engineers and stakeholders alike.</li>\n<li>Some experience or a real interest in finance, investment processes, and an ability to translate business problems into technical solutions. Exposure to Securities Lending is a bonus but not mandatory skill.</li>\n<li>Experience leading development teams, projects or being responsible for the design and technical quality of a significant application, system, or component. Ability to form positive relationships with partnering teams, sponsors, and user groups.</li>\n</ul>\n<p>Nice to have and opportunities to learn</p>\n<ul>\n<li>Exposure to building microservices and APIs ideally with REST, Kafka or gRPC.</li>\n<li>Experience working in an agile development team or on open-source development projects.</li>\n<li>Experience with optimization, algorithms or related quantitative processes.</li>\n<li>Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis</li>\n<li>Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud</li>\n<li>Experience with DevOps and tools like Azure DevOps</li>\n<li>Experience with AI-related projects/products or experience working in an AI research environment.</li>\n<li>A degree, certifications or opensource track record that shows you have a mastery of software engineering principles.</li>\n</ul>\n<p>Our benefits</p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p>Our hybrid work model</p>\n<p>BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d7e78450-112","directApply":true,"hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/pq29LM9g93gEuCMd3Ncs7F/full-stack-java-developer%2C-associate-in-london-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Java","Spring","TypeScript","JavaScript","Microservices","Angular","Open-Source technology stack","Relational database","NoSQL Database","Caching technologies","Distributed systems","Agile methodology","Scrum","TDD","BDD"],"x-skills-preferred":["Kafka","gRPC","Cloud platforms","DevOps","AI-related projects/products","AI research environment"],"datePosted":"2026-03-09T16:44:06.292Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Java, Spring, TypeScript, JavaScript, Microservices, Angular, Open-Source technology stack, Relational database, NoSQL Database, Caching technologies, Distributed systems, Agile methodology, Scrum, TDD, BDD, Kafka, gRPC, Cloud platforms, DevOps, AI-related projects/products, AI research environment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6c317476-f2c"},"title":"Platform Engineering Manager, Forward Deployed Engineering (FDE)","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.</p>\n<p><strong>About the role</strong></p>\n<p>As the Engineering Manager for Platform FDE, you will lead a small team that acts as a multiplier for the broader FDE org. Your mandate is to increase the rate at which customer-grounded ideas become durable, generalizable platform bets, by providing hands-on product and engineering leverage to customer-tagged pods.</p>\n<p>You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed Platform FDE capacity where they can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.</p>\n<p><strong>In this role you will</strong></p>\n<ul>\n<li>Guide a focused portfolio of platform bets: Steer direction for a small number of high-signal problems, with clear hypotheses, success criteria, sequencing, and measurable adoption outcomes.</li>\n</ul>\n<ul>\n<li>Build and validate with customers: Ensure the team ships working software with design partners, instruments usage and outcomes, and iterates quickly based on real-world adoption and constraints.</li>\n</ul>\n<ul>\n<li>Co-develop with long-term owners: Partner early with B2B Platform (and other durable owners) to align on architecture, interfaces, security/governance requirements, and handoff criteria, staying engaged through validation and the path to scale.</li>\n</ul>\n<ul>\n<li>Maintain a high engineering bar: Set and enforce standards for design, code quality, testing, observability, and operational readiness appropriate for enterprise use.</li>\n</ul>\n<ul>\n<li>Grow and develop the team: Coach and develop engineers through direct feedback, clear expectations, and durable team mechanisms that reinforce execution and ownership.</li>\n</ul>\n<ul>\n<li>Operate with high judgment and influence: Make clear tradeoffs under ambiguity, communicate decisions crisply across stakeholders, and drive outcomes through partnership rather than formal authority.</li>\n</ul>\n<p><strong>You might thrive in this role if you</strong></p>\n<ul>\n<li>Bring 8+ years of engineering experience, including 2+ years managing high-performance engineers</li>\n</ul>\n<ul>\n<li>Are deeply customer-obsessed and can partner credibly with senior stakeholders while keeping a high bar for delivery and technical rigor</li>\n</ul>\n<ul>\n<li>Naturally act as a shepherd: you elevate and refine others’ ideas, sharpen hypotheses, and make disciplined “scale vs pause” calls with clear reasoning</li>\n</ul>\n<ul>\n<li>Excel at cross-functional execution, forming tight partnerships with engineering, product, research, and GTM teams to deliver outcomes without needing formal authority</li>\n</ul>\n<ul>\n<li>Can build inclusive team mechanics – rotations, mentorship, and scoped ownership – that increase collaboration across teams rather than creating a gated platform group</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6c317476-f2c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/b073abb1-cf6c-4fd9-a318-732fdd2f1408","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$302K – $335K","x-skills-required":["engineering experience","customer-obsessed","cross-functional execution","team leadership","communication skills"],"x-skills-preferred":["AI research","deployment","product development","engineering management"],"datePosted":"2026-03-08T22:16:31.015Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"engineering experience, customer-obsessed, cross-functional execution, team leadership, communication skills, AI research, deployment, product development, engineering management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":302000,"maxValue":335000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4eede990-335"},"title":"Principal Product Manager - AI Multimodal","description":"<p>Help deliver one of the best foundational models in the world at Microsoft AI.</p>\n<p>At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. 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You will be responsible for balancing product needs with research priorities, ensuring that Copilot’s messages are high quality, factual and safe.</p>\n<p>Responsibilities:</p>\n<p>Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.</p>\n<p>Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.</p>\n<p>Creating model prototypes to prove out new feature directions and scope projects.</p>\n<p>Engineering prompts to teach models how to behave across a wide range of scenarios.</p>\n<p>Working closely with researchers and engineers to define and manage engineering and research projects.</p>\n<p>Deploying and tracking AB model experiments in production</p>\n<p>Foster a culture of collaboration, continuous improvement, and growth.</p>\n<p>Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback</p>\n<p>Advance the AI frontier responsibly</p>\n<p>Embody our culture and values</p>\n<p>Required/Minimum Qualifications:</p>\n<p>Minimum of Bachelor’s Degree AND experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience.</p>\n<p>Experience managing cross-functional and/or cross-team projects.</p>\n<p>Proven track record as a Product Manager with first-hand experience evaluating and deploying LLMs into production.</p>\n<p>Experience working side-by-side with Researchers and/or Engineers</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4eede990-335","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-product-manager-ai-multimodal-3/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI researchers","product/technical program management","data analysis","product development","cross-functional project management","LLMs"],"x-skills-preferred":["research","engineering"],"datePosted":"2026-03-08T22:14:15.012Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI researchers, product/technical program management, data analysis, product development, cross-functional project management, LLMs, research, engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8d715def-b40"},"title":"Technical Program Manager, Consumer Engineering","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>Claude is used by millions of people every day through our web, mobile, and desktop applications. As these products scale, so does the complexity of coordinating across engineering teams and cross-functional partners. We need an experienced Technical Program Manager to drive critical initiatives across our product engineering organisation.</p>\n<p>You&#39;ll be instrumental in coordinating high-complexity cross-team efforts, driving launch readiness, and ensuring seamless execution across platform and product teams. This role is critical as our products grow in scale and complexity.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead cross-team engineering initiatives, coordinating between platform, product, and infrastructure teams to deliver high-quality releases</li>\n<li>Drive program execution for major product features, ensuring alignment across engineering, legal, policy, and other cross-functional partners</li>\n<li>Partner with engineering leadership to improve development velocity, manage dependencies, and remove blockers</li>\n<li>Build and maintain relationships across engineering teams to understand technical requirements, constraints, and tradeoffs</li>\n<li>Create comprehensive program documentation including roadmaps, status reports, risk assessments, and communication plans</li>\n<li>Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues</li>\n<li>Establish processes and frameworks for scaling product development and improving engineering excellence</li>\n<li>Drive launch readiness across teams, ensuring predictable and well-communicated releases</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs</li>\n<li>Have experience with web, mobile, or client application development and the ability to engage meaningfully with frontend and backend engineers</li>\n<li>Have experience coordinating across multiple engineering teams and cross-functional partners (legal, policy, etc.) simultaneously</li>\n<li>Are highly organised and can manage multiple parallel workstreams effectively across distributed teams</li>\n<li>Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations</li>\n<li>Have excellent written and verbal communication skills, with the ability to influence without authority</li>\n<li>Have a track record of building trust with technical teams and driving change through influence</li>\n<li>Are passionate about Anthropic&#39;s mission and interested in the challenges of bringing AI capabilities to users safely and reliably</li>\n<li>Have experience with high-growth products serving large user bases (preferred but not required)</li>\n</ul>\n<p><strong>Deadline to apply:</strong></p>\n<p>None, applications will be received on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong></p>\n<p>To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a Software Engineer to work at the intersection of engineering and research on the Claude Code team. In this role, you&#39;ll collaborate directly with Anthropic&#39;s researchers to improve Claude’s coding capabilities through tooling, infrastructure, and evaluations. You&#39;ll build systems that help us understand where Claude Code excels and where it falls short—and then help close those gaps.</p>\n<p>We&#39;re looking for engineers who can build robust, complex systems and who thrive in fast-paced, high-intensity environments. You&#39;ll take ambiguous problems and turn them into reliable infrastructure that accelerates our research.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build eval systems that measure model capabilities across diverse coding tasks</li>\n</ul>\n<ul>\n<li>Build tooling and infrastructure that enables researchers to run experiments at scale</li>\n</ul>\n<ul>\n<li>Develop pipelines for data collection, processing, and analysis</li>\n</ul>\n<ul>\n<li>Create internal tools that improve researcher productivity and accelerate iteration cycles</li>\n</ul>\n<ul>\n<li>Serve as a bridge between product and research—bring strong product intuition to inform which capabilities matter most</li>\n</ul>\n<ul>\n<li>Work closely with researchers to translate research questions into engineering solutions</li>\n</ul>\n<ul>\n<li>Own systems end-to-end—from design through production reliability</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have built and owned complex systems—pipelines, infrastructure, or software that orchestrates many components and handles significant state and logic</li>\n</ul>\n<ul>\n<li>Thrive in high-intensity environments with fast iteration cycles</li>\n</ul>\n<ul>\n<li>Take full ownership of problems and drive them to completion independently</li>\n</ul>\n<ul>\n<li>Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations</li>\n</ul>\n<ul>\n<li>Are comfortable diving into unfamiliar technical domains and figuring things out quickly</li>\n</ul>\n<ul>\n<li>Care deeply about correctness and reliability in the systems you build</li>\n</ul>\n<ul>\n<li>Are excited to work at the boundary between engineering and AI research</li>\n</ul>\n<ul>\n<li>Have at least 5 years of work experience</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>Writing or maintaining eval/evaluation frameworks</li>\n</ul>\n<ul>\n<li>Reinforcement learning systems</li>\n</ul>\n<ul>\n<li>Working in high-performance, demanding environments—trading firms, quant funds, competitive research labs, or fast-moving startups where intensity is the norm</li>\n</ul>\n<ul>\n<li>Have research computing or scientific infrastructure background</li>\n</ul>\n<ul>\n<li>Have a strong quantitative foundation (math, physics, or related fields)</li>\n</ul>\n<ul>\n<li>Python and TypeScript</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the role:</strong></p>\n<p>The Consumer team at Anthropic builds AI that millions of people use every day to think better, create more, and accomplish what matters to them.</p>\n<p>We&#39;re looking for a former consumer founder who deeply understands what makes experiences intuitive and indispensable, spikes on 0 to 1 product development, ships products that people love to tell their friends about, and is eager to dive into everything to bring their vision to life. The best candidates will be extremely creative, hands-on, obsessed with craft, and opinionated about a future where AI genuinely improves people&#39;s daily lives.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Work with researchers to understand what&#39;s emerging and what it means for users</li>\n<li>Identify nascent research capabilities that could become transformative consumer products</li>\n<li>Lead 0-to-1 product development from research to internal prototypes to shipped products</li>\n<li>Define product strategy for consumer initiatives that push beyond our current offerings</li>\n<li>Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible</li>\n<li>Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems</li>\n</ul>\n<p><strong>You might be a good fit if you:</strong></p>\n<ul>\n<li>Have a track record as a founder or 8+ years in product management, with experience launching new products and scaling existing products.</li>\n<li>Can’t stop thinking about new ways to build products on top of the latest model capabilities</li>\n<li>Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products.</li>\n<li>Have the ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions</li>\n<li>Experience launching ambitious consumer products that have found distribution or commercial success</li>\n<li>Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks</li>\n<li>Stay up-to-date and hands-on with emerging research and industry trends</li>\n<li>Prototype with AI tools like Claude Code</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:** We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</strong></p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation time, and a culture that values work-life balance.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_647765f5-6ed","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5127559008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$385,000 - $460,000 USD","x-skills-required":["Product Management","AI Research","Machine Learning","Software Development","Data Analysis","Communication Skills"],"x-skills-preferred":["Cloud Computing","DevOps","Data Science","Statistics","Research Methodology"],"datePosted":"2026-03-08T13:46:13.032Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, AI Research, Machine Learning, Software Development, Data Analysis, Communication Skills, Cloud Computing, DevOps, Data Science, Statistics, Research Methodology","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":385000,"maxValue":460000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28cb565e-69a"},"title":"Researcher, Health AI","description":"<p><strong>Researcher, Health AI</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Safety Systems</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$295K – $445K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models towards their deployment in the real world.</p>\n<p>OpenAI’s charter calls on us to ensure the benefits of AI are distributed widely. Our Health AI team is focused on enabling universal access to high-quality medical information. We work at the intersection of AI safety research and healthcare applications, aiming to create trustworthy AI models that can assist medical professionals and improve patient outcomes.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re seeking strong researchers who are passionate about advancing AI safety and improving global health outcomes. As a Research Scientist, you will contribute to the development of safe and effective AI models for healthcare applications. You will implement practical and general methods to improve the behavior, knowledge, and reasoning of our models in these settings. This will require research into safety and alignment techniques that we aim to generalize towards safe and beneficial AGI.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and apply practical and scalable methods to improve safety and reliability of our models, including RLHF, automated red teaming, scalable oversight, etc.</li>\n</ul>\n<ul>\n<li>Evaluate methods using health-related data, ensuring models provide accurate, reliable, and trustworthy information.</li>\n</ul>\n<ul>\n<li>Build reusable libraries for applying general alignment techniques to our models.</li>\n</ul>\n<ul>\n<li>Proactively understand the safety of our models and systems, identifying areas of risk.</li>\n</ul>\n<ul>\n<li>Work with cross-team stakeholders to integrate methods in core model training and launch safety improvements in OpenAI’s products.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Are excited about OpenAI’s mission of ensuring AGI is universally beneficial and are aligned with OpenAI’s charter.</li>\n</ul>\n<ul>\n<li>Demonstrate passion for AI safety and improving global health outcomes.</li>\n</ul>\n<ul>\n<li>Have 4+ years of experience with deep learning research and LLMs, especially practical alignment topics such as RLHF, automated red teaming, scalable oversight, etc.</li>\n</ul>\n<ul>\n<li>Hold a Ph.D. or other degree in computer science, AI, machine learning, or a related field.</li>\n</ul>\n<ul>\n<li>Stay goal-oriented instead of method-oriented, and are not afraid of unglamorous but high-value work when needed.</li>\n</ul>\n<ul>\n<li>Possess experience making practical model improvements for AI model deployment.</li>\n</ul>\n<ul>\n<li>Own problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done.</li>\n</ul>\n<ul>\n<li>Are a team player who enjoys collaborative work environments.</li>\n</ul>\n<ul>\n<li>Bonus: possess experience in health-related AI research or deployments.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.</p>\n<p>The OpenAI Education team partners with educators, educational institutions, and countries to shape how AI can be used to advance learning, accelerate research, and enable the next generation to build the skills and capabilities needed for a rapidly changing world. We aim to deliver measurable gains in cognition and achievement, partnering closely with educators, students, and adult learners to develop products and programs that are safe, trusted, and impactful.</p>\n<p><strong>About the Role</strong></p>\n<p>As Head of Education, Enterprise, you will own and scale OpenAI’s Enterprise Education vertical. You will set the enterprise strategy with a cross-functional team, define the products and solutions we bring to market, and work directly with partners to execute high-impact programs in K12 and Higher Education.</p>\n<p>We’re looking for a strategic, product-minded leader with experience working with GTM teams and external partners. In collaboration with the education ecosystem, you will drive OAI’s vision for AI in education, shape the products we bring to market, lead pricing and packaging, build durable institutional relationships, and create the blueprint for institutional AI adoption at scale. You will report to the leader of the education and learning vertical.</p>\n<p>This role is based in San Francisco, CA. We offer a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel is required given the global scope and relationship-driven nature of the work.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own and drive cross-functional execution of the B2B education strategy, setting priorities, driving execution, and ensuring alignment with company strategy.</li>\n</ul>\n<ul>\n<li>Shape product roadmap by translating institutional needs into clear product and engineering inputs.</li>\n</ul>\n<ul>\n<li>Lead pricing, packaging, and positioning for enterprise offerings in partnership with GTM, Growth, and Product Marketing.</li>\n</ul>\n<ul>\n<li>Build OpenAI’s presence with institutions, enabling the GTM to build partnerships and programs that define leading adoption.</li>\n</ul>\n<ul>\n<li>Represent OpenAI in the field with senior leaders across institutions, governments, and ecosystem partners.</li>\n</ul>\n<ul>\n<li>Define success metrics, track progress, and report out to leadership with clear learnings and narrative.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 10+ years experience leading product, marketing, or growth organizations. 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We start from the latest breakthroughs – or overlooked research with untapped potential – and expand their capabilities by prototyping entirely new ways for people to benefit from AI.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Full-Stack Software Engineer on the Labs team, you will create new ways for people to interact with AI.</p>\n<p>Your work will begin as rapid internal experiments: prototypes built to explore surprising capabilities or novel interfaces. Some will spark entirely new products or research directions, shaping how millions of people experience AI. Across projects, you’ll ship these ideas internally, learn from how people use them, and – if they prove promising – hand them off to product teams to take forward before moving on to the next frontier.</p>\n<p>Sometimes you’ll start by playing with a researcher’s early demo, identify emerging behaviors, and push on them in collaboration with researchers. Other times, you’ll start from a capability that hasn’t yet been fully explored and design a novel interface around it.</p>\n<p>We’re looking for creative people who love to tinker and explore, chasing sparks of magic and shaping them into experiences that help the world go further and discover new possibilities.</p>\n<p><strong>Location</strong></p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Explore emerging capabilities and collaborate with researchers to uncover surprising new behaviors – whether from the model itself or from how people respond – and push their limits through creative experimentation.</li>\n</ul>\n<ul>\n<li>Design and prototype new interfaces and interaction patterns that rethink how people experience AI, making powerful capabilities feel intuitive, delightful, and inspiring.</li>\n</ul>\n<ul>\n<li>Bring ideas to life quickly, turning concepts into working demos – and evolving those prototypes into robust, testable experiences ready for real-world feedback.</li>\n</ul>\n<ul>\n<li>Ship early, learn from real usage, and iterate fast – refining ideas based on how people actually use them.</li>\n</ul>\n<ul>\n<li>Hand off the most promising prototypes to product teams to scale before moving on to the next frontier.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have demonstrated experience building and shipping full-stack applications, from intuitive interfaces to reliable backend systems.</li>\n</ul>\n<ul>\n<li>Build things for fun and care deeply about craft: curiosity drives you, and creating is how you explore ideas.</li>\n</ul>\n<ul>\n<li>Are energized by ambiguity and excited to turn novel capabilities into tangible, working experiences.</li>\n</ul>\n<ul>\n<li>Have a refined product taste and intuition for what great interactions should feel like.</li>\n</ul>\n<ul>\n<li>Care about how ideas work in people’s hands and evolve through real use.</li>\n</ul>\n<ul>\n<li>Value iteration as much as invention; refining is part of the creative process.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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Data sits at the heart of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data.</p>\n<p><strong>This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position</strong>.</p>\n<p>You’ll build the world’s best human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy.</p>\n<p><strong>What we&#39;re looking for:</strong></p>\n<ul>\n<li>A strong background in data-centric, applied Machine Learning, with hands-on experience improving model performance through data quality, curation, labeling, and evaluation rather than model architecture alone</li>\n</ul>\n<ul>\n<li>Experience working on the data layer of Generative AI products, particularly involving images, video, or audio</li>\n</ul>\n<ul>\n<li>Excellent Python skills, with a strong focus on writing clean, maintainable, and well-tested code</li>\n</ul>\n<ul>\n<li>Hands-on experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines</li>\n</ul>\n<p><strong>Why join us?</strong></p>\n<p>We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,</p>\n<p><strong>Our culture</strong></p>\n<p>At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. <strong>You can find out more about these principles here.</strong></p>\n<p><strong>Serving 50,000+ customers (and 50% of the Fortune 500)</strong></p>\n<p>We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.</p>\n<p><strong>Proprietary AI technology</strong></p>\n<p>Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.</p>\n<p><strong>AI Safety, Ethics and Security</strong></p>\n<p>AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence&#39;s impact on our society is still unfolding, our position is clear: <strong>People first. Always.</strong>  Learn more about our commitments to AI Ethics, Safety &amp; Security.</p>\n<p><strong>The good stuff...</strong></p>\n<ul>\n<li>Competitive compensation (salary + stock options + bonus)</li>\n</ul>\n<ul>\n<li>Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.</li>\n</ul>\n<ul>\n<li>25 days of annual leave + public holidays</li>\n</ul>\n<ul>\n<li>Great company culture with the option to join regular planning and socials at our hubs</li>\n</ul>\n<ul>\n<li>\\+ other benefits depending on your location</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4b87ca93-5dc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synthesia","sameAs":"https://www.synthesia.io/","logo":"https://logos.yubhub.co/synthesia.io.png"},"x-apply-url":"https://jobs.ashbyhq.com/synthesia/aa69627f-0c29-4416-b0e5-87bef74c768c","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive compensation (salary + stock options + bonus)","x-skills-required":["Python","Machine Learning","Data Engineering","Workflow Orchestration","Large-Scale Data Processing"],"x-skills-preferred":["Generative AI","AI Research","AI Ethics","AI Safety"],"datePosted":"2026-03-06T18:39:01.092Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Europe"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, Data Engineering, Workflow Orchestration, Large-Scale Data Processing, Generative AI, AI Research, AI Ethics, AI Safety"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b6f5270f-69c"},"title":"Lead Product Designer, Health AI","description":"<p><strong>Lead Product Designer, Health AI</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Product Design</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$347K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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Our Health AI team focuses on expanding access to high-quality medical expertise and aims to set a high standard for deploying AI responsibly in high-stakes domains.</p>\n<p>Improving health will be one of the defining impacts of AGI. Today, millions of people lack access to reliable medical information, and clinicians around the world face increasing time and resource constraints. We are building AI systems like ChatGPT Health and OpenAI for Healthcare that support patients, clinicians, and health workers, while meeting the highest standards for safety, reliability and privacy.</p>\n<p><strong>About the role:</strong></p>\n<p>We are seeking an experienced product designer to craft the healthcare product experiences of today and tomorrow. Design plays a critical role here. You’ll create products that are easy to use, beautiful, and push the boundaries of what’s possible to enable the healthcare system to deliver better care and hundreds of millions of people to lead healthier lives. You’ll help chart our course into the future, shaping our product direction and design culture.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Contribute to the overall design and product direction of OpenAI products.</li>\n</ul>\n<ul>\n<li>Design and ship high-quality products and improvements, from early concepts to high-fidelity prototypes and visuals.</li>\n</ul>\n<ul>\n<li>Partner closely with engineering, product management, AI research, and design peers to define both long-term strategy and short-term tactics.</li>\n</ul>\n<ul>\n<li>Engage in user research to better understand our users (patients, clinicians, consumers that want to improve their health) and refine our products.</li>\n</ul>\n<ul>\n<li>Contribute to and evolve our design system.</li>\n</ul>\n<ul>\n<li>Help establish our design culture and grow our team.</li>\n</ul>\n<ul>\n<li>Take ownership of ambiguous problems and drive them to practical, high quality solutions.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Are deeply motivated by improving health outcomes and expanding access to medical expertise.</li>\n</ul>\n<ul>\n<li>Have 8+ years of experience shipping larger scale software products.</li>\n</ul>\n<ul>\n<li>Have a portfolio showcasing strong UX, UI, and interaction design skills, with a high bar for quality and craft.</li>\n</ul>\n<ul>\n<li>Love thinking through complex interaction design problems.</li>\n</ul>\n<ul>\n<li>Possess impactful communication and storytelling skills.</li>\n</ul>\n<ul>\n<li>Enjoy tackling ambiguous problems and shaping them into a clear vision.</li>\n</ul>\n<ul>\n<li>Get excited about being immersed in the AI research process and defining how AI-first products should look and behave.</li>\n</ul>\n<p><strong>Bonus if you have:</strong></p>\n<ul>\n<li>Prior experience with health-related products.</li>\n</ul>\n<ul>\n<li>Experience building compliant or regulated products (healthcare, enterprise, finance or similar).</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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We operate at the intersection of customer delivery and core platform development.</p>\n<p><strong>About the role</strong></p>\n<p>Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.</p>\n<p>You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.</p>\n<p>This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.</p>\n<p><strong>In this role you will</strong></p>\n<ul>\n<li>Own technical delivery across multiple deployments from first prototype to stable production</li>\n</ul>\n<ul>\n<li>Build full-stack systems that deliver customer value and sharpen how we learn</li>\n</ul>\n<ul>\n<li>Embed closely with customer teams, understand their needs, and guide adoption of what you build</li>\n</ul>\n<ul>\n<li>Scope work, sequence delivery, and remove blockers early</li>\n</ul>\n<ul>\n<li>Make trade-offs between scope, speed, and quality; adjust plans to protect delivery</li>\n</ul>\n<ul>\n<li>Contribute directly in the code when progress or clarity depends on it</li>\n</ul>\n<ul>\n<li>Codify working patterns into tools, playbooks, or building blocks that others can use</li>\n</ul>\n<ul>\n<li>Share field feedback that helps Research and Product understand where the models succeed and where they can improve</li>\n</ul>\n<ul>\n<li>Keep teams moving through clarity and follow-through</li>\n</ul>\n<p><strong>You might thrive in this role if you</strong></p>\n<ul>\n<li>Bring 5+ years of engineering or technical deployment experience that includes customer-facing work</li>\n</ul>\n<ul>\n<li>Have scoped and delivered complex systems in fast-moving or ambiguous environments</li>\n</ul>\n<ul>\n<li>Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks</li>\n</ul>\n<ul>\n<li>Simplify complexity and make fast, sound decisions under pressure</li>\n</ul>\n<ul>\n<li>Communicate clearly with engineers, product teams, and customer stakeholders</li>\n</ul>\n<ul>\n<li>Spot risks early and adjust without slowing down</li>\n</ul>\n<ul>\n<li>Model calm and judgment when the stakes are high</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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We aim to prove that OpenAI’s frontier models can do real science—and help researchers everywhere do more, faster.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Research Engineer, you will build AI systems that enable previously impossible capabilities or achieve unprecedented levels of performance. You’ll work at the intersection of engineering and research, designing, implementing, and improving large-scale machine learning systems while contributing to the science behind the algorithms themselves.</p>\n<p>We’re looking for people with strong engineering fundamentals who enjoy writing high-quality ML code, are comfortable working at massive scale, and are excited about OpenAI’s approach to research. As deep learning systems continue to scale, engineering excellence will play a critical role in driving the next major advances in AI.</p>\n<p>This role is based in San Francisco, CA. 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In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.</p>\n<p>We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.</p>\n<p><strong>About the Role</strong></p>\n<p>As a <strong>Product Marketing Manager, Research,</strong> you will own the end-to-end go-to-market strategy for ChatGPT’s research launches. From our core models to image generation, research is at the heart of what drives OpenAI forward and unlocks more for users. You’ll be at the forefront of explaining research advancements to everyone from daily users to the research community—then bringing those stories to life through standout creative examples that demonstrate what’s now possible. You’ll work closely with the research team to understand and tell the story of their breakthroughs at the frontier of AI. You’ll also partner with our comms team to ensure a holistic narrative that spans capabilities, safety, and use cases, while working with integrated, creative, and performance marketing teams to then translate those capabilities into <strong>top-of-funnel acquisition creative</strong>, and develop the narrative and content systems that scale globally.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Understanding the research breakthrough and what that means for consumers.</li>\n</ul>\n<ul>\n<li>Shaping the key messaging and value props, along with use cases and competitive audit to ground that.</li>\n</ul>\n<ul>\n<li>Writing the product marketing brief that allows creative, comms, and cross-functional marketing teams to bring the research story to life.</li>\n</ul>\n<ul>\n<li>Connect launches to creative and messaging throughout the user funnel to sustain awareness and usage, helping to shape the overall ChatGPT consumer narrative.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Can translate complex technical work into crisp, differentiated value for <strong>multiple audiences</strong> (consumers, power users, and research community).</li>\n</ul>\n<ul>\n<li>Has strong creative instincts and can personally generate high-quality multimodal examples (prompts, galleries, social concepts, demo scripts) that make capabilities feel obvious and exciting.</li>\n</ul>\n<ul>\n<li>Thinks like a product marketer _and_ a storyteller—obsessed with learnings, iteration, and what drives discovery, conversion, and sharing.</li>\n</ul>\n<ul>\n<li>Stays calm under pressure and can act decisively and effectively in fast-moving, ambiguous environments with shifting timelines and limited information.</li>\n</ul>\n<ul>\n<li>Can partner effectively with Safety and Policy teams to enable broad creative expression while anticipating misuse risks and shaping responsible messaging.</li>\n</ul>\n<ul>\n<li>Doesn’t need to have a technical background but needs to have a deep curious and passion for frontier AI research</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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We’re focused on making current and future models better for people at scale—improving existing capabilities, shaping emerging ones, and scaling model behavior tuning. We collaborate across the company, as our work directly impacts many teams.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Product Manager for the Model Behavior team, you&#39;ll be at the forefront of defining and guiding the future of how our AI models behave in real-world applications. You’ll set clear priorities and drive impactful improvements to model capabilities, balancing user needs, safety considerations, and technical innovation. This role is perfect for a proactive, technically adept PM who thrives on solving challenging, ambiguous problems through structured product thinking and close collaboration.</p>\n<p>This position is based in San Francisco, CA, with relocation assistance available.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Define strategic priorities and roadmap for improving model behavior, focusing on user outcomes, safety, reliability, and emerging capabilities. Care for our users, and humanity as a whole, are core to this role.</li>\n</ul>\n<ul>\n<li>Partner closely with research, engineering, product design, and policy teams to translate strategic goals into actionable product initiatives.</li>\n</ul>\n<ul>\n<li>Develop scalable methodologies, tools, and processes for evaluating, tuning, and iterating on model behavior.</li>\n</ul>\n<ul>\n<li>Synthesize user research, community feedback, and quantitative insights into targeted improvements in our AI models.</li>\n</ul>\n<ul>\n<li>Establish and iterate on clear, actionable metrics that accurately reflect model quality and user experience at scale.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 6+ years of product management or related industry experience.</li>\n</ul>\n<ul>\n<li>Have an interest in fields such as human-computer interaction, psychology, philosophy, or other relevant fields.</li>\n</ul>\n<ul>\n<li>Are excited about building not just a product, but a new form of intelligence, with the aim to benefit humanity</li>\n</ul>\n<ul>\n<li>Have hands-on experience driving consensus and action in ambiguous spaces.</li>\n</ul>\n<ul>\n<li>Know how to ask questions that uncover underlying constraints and assumptions.</li>\n</ul>\n<ul>\n<li>Excel at collaborating across diverse teams and communicating complex ideas clearly.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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We are seeking mid-level and senior candidates.</li>\n</ul>\n<ul>\n<li>You have broad familiarity with operating systems and platforms such as macOS, Windows, Linux, and Kubernetes, along with experience in cloud infrastructure.</li>\n</ul>\n<ul>\n<li>Knowledge of modern adversary tactics and attack paths, data exfiltration techniques, and have experience running and leading incidents.</li>\n</ul>\n<ul>\n<li>Proficiency with a scripting language (e.g. Python, Bash, PowerShell, or similar).</li>\n</ul>\n<ul>\n<li>Independently manage and run projects , balance preventative controls with user friction, and prioritize efforts for risk reduction.</li>\n</ul>\n<ul>\n<li>You’re motivated by securing transformative technology and can adapt familiar security frameworks to new risks in AI infrastructure</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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This team moves quickly from idea to experiment to iteration, exploring multiple directions in parallel and investing deeply in the most promising opportunities.</p>\n<p>You’ll work across the stack—building frontend and backend systems, developing rapid prototypes, and collaborating closely with designers, researchers, and product partners—to bring early-stage ideas to life. This includes developing production systems on top of the high-scale internal platforms that power ChatGPT and the OpenAI API, as well as designing new architectures when existing systems aren’t sufficient.</p>\n<p>We’re looking for engineers who thrive in small, nimble teams, bring creative product instincts, and pair strong execution with sound technical judgment. 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You’ll work across software tuning and hardware-accelerated pipelines to deliver stable, high-quality imaging under real-world constraints such as motion, power, and manufacturing variation.</p>\n<p>This role is ideal for engineers who thrive in ambiguous early-stage environments, enjoy deep technical ownership, and take pride in shipping production-grade imaging systems.</p>\n<p>This role is based in San Francisco, CA. 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documentation.</li>\n</ul>\n<ul>\n<li>Partner closely with camera firmware, systems, and hardware teams to debug pipelines, configure sensors, and resolve board-level and silicon-level issues as designs evolve.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Deep experience shipping ISP tuning for embedded or mobile camera products, from bring-up through production.</li>\n</ul>\n<ul>\n<li>Strong fundamentals across 3A (AE/AWB/AF), noise modeling, sharpening and detail trade-offs, tone mapping, and color pipelines.</li>\n</ul>\n<ul>\n<li>Proven ability to run data-driven tuning loops, including repeatable capture, rigorous evaluation, and disciplined versioning of tuning artifacts.</li>\n</ul>\n<ul>\n<li>Hands-on experience debugging end-to-end camera pipelines on real hardware, including RAW capture, processed outputs, and hardware-accelerated paths.</li>\n</ul>\n<ul>\n<li>Ability to collaborate cross-functionally and translate system-level constraints (power, latency, motion, reliability) into concrete tuning decisions and validation plans.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with common mobile or embedded SoC camera stacks and vendor frameworks.</li>\n</ul>\n<ul>\n<li>Experience tuning imaging pipelines explicitly for downstream machine-learning consumers, with iteration driven by model feedback.</li>\n</ul>\n<ul>\n<li>Experience designing motion-aware temporal imaging strategies that remain stable under rapid device or scene motion.</li>\n</ul>\n<p><strong>Experience Level</strong></p>\n<p>Mid</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Workplace Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Category</strong></p>\n<p>Engineering</p>\n<p><strong>Industry</strong></p>\n<p>Technology</p>\n<p><strong>Salary Range</strong></p>\n<p>$293K – $325K</p>\n<p><strong>Required Skills</strong></p>\n<ul>\n<li>Camera ISP tuning</li>\n<li>Embedded 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the team</strong></strong></p>\n<p>The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability</p>\n<p>The Integrity pillar within Applied Foundations is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We are creating a 0→1 team in London to architect next-generation systems that will support, leverage, and scale the work of experts in harms committed with our technology.</p>\n<p><strong><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>Design and build scaled foundational systems used in the detection, tracking, and enforcement of harm using our technologies.</li>\n</ul>\n<ul>\n<li>Work closely with and learn from technical and non-technical experts on harms we are observing, and that stem from our platforms, to inform your designs and implementation.</li>\n</ul>\n<ul>\n<li>Leverage OpenAI’s most advanced technologies to automate and augment our abilities to detect and reason about complex harms quickly, accurately, and with minimum human intervention.</li>\n</ul>\n<ul>\n<li>Collaborate with policy, trust and safety operations, legal, investigations, and harm-specialised engineers and data scientists to holistically combat abusive actors and customers using OpenAI’s technology.</li>\n</ul>\n<ul>\n<li>Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well resourced adversaries.</li>\n</ul>\n<p><strong><strong>You might thrive in this role if you:</strong></strong></p>\n<ul>\n<li>Have at least 5 years of software engineering experience in backend and data systems.</li>\n</ul>\n<ul>\n<li>Have at least 2 years experience in trust and safety analysis, investigation, and/or operations.</li>\n</ul>\n<ul>\n<li>Are excited to learn from top experts in the world on harms committed with AI, and to collaborate in an interdisciplinary team including technical and non-technical roles to combat these harms.</li>\n</ul>\n<ul>\n<li>Can dive into our codebase, intuit how it works, and be able to have a strong intuition for suggestions that will lead us to a stronger engineering position.</li>\n</ul>\n<ul>\n<li>Have a voracious and intrinsic desire to learn and fill in missing skills. 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We&#39;re constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains.</p>\n<p>The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for <strong>Full Stack Engineers</strong> who&#39;re passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems</li>\n<li>Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutions</li>\n<li>Work with product and research team to share relevant feedback and iterate on applying their latest models</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Product Manager - AI Multimodal, you will work at the nexus of product and research. Your products are the language and multimodal models that power Microsoft Copilot. You will be responsible for balancing product needs with research priorities, ensuring that Copilot&#39;s messages are high quality, factual and safe. You will also be responsible for prioritizing new features and research, working closely with AI researchers to build and execute project plans.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.</li>\n<li>Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Minimum of 5 years of experience in working with AI researchers, product/technical program management, data analysis, or product development.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven track record as a Product Manager with first-hand experience evaluating and deploying LLMs into production.</li>\n<li>Experience working side-by-side with Researchers and/or Engineers.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Thrive in a fast-paced, innovative environment.</li>\n<li>Passionate about managing high stakes time-sensitive large-scale programs.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and bonus structure.</li>\n<li>Comprehensive health and wellbeing benefits.</li>\n<li>Professional development opportunities.</li>\n<li>Financial benefits (equity, pension, etc.).</li>\n<li>Cultural perks (team events, office amenities, etc.).</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a176ef3c-f6b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-product-manager-ai-multimodal-4/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and bonus structure.","x-skills-required":["Product Management","AI Research","Data Analysis","Product Development"],"x-skills-preferred":["LLMs","Research","Engineering"],"datePosted":"2026-03-06T07:32:49.265Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, AI Research, Data Analysis, Product Development, LLMs, Research, Engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3f8ea357-63d"},"title":"Director, AI Data Strategy and Operations","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Director, AI Data Strategy and Operations at their Redmond office. 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You will analyze technical tradeoffs and synthesize findings into clear, actionable recommendations for leadership.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Provide direct technical and strategic support to the CEO of Microsoft AI—identifying opportunities and risks across our research portfolio</li>\n<li>Engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years technical engineering experience with coding</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Software engineering skills with the ability to rapidly prototype and evaluate technical solutions</li>\n<li>Understanding modern ML techniques, including large language models, multimodal systems, agents, or related areas</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Written and verbal communication skills, with the ability to distill complex technical concepts for executive audiences</li>\n<li>Track record of operating effectively in fast-paced, ambiguous environments</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year</li>\n<li>Certain roles may be eligible for benefits and other compensation</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_eb1455d9-a55","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/technical-advisor-microsoft-superintelligence-office-of-the-ceo/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["software engineering","machine learning","large language models","multimodal systems","agents"],"x-skills-preferred":["published research at top ML/AI venues","experience at a leading AI research lab or startup"],"datePosted":"2026-03-06T07:28:43.055Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, machine learning, large language models, multimodal systems, agents, published research at top ML/AI venues, experience at a leading AI research lab or startup","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3ad5661c-052"},"title":"Principal Product Manager, Foundational AI Research","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Product Manager, Foundational AI Research to join their team in San Francisco. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Product Manager, Foundational AI Research, you will be advancing the next generation of LLM models working on either (1) pre-training and post-training data and evaluations, (2) training infrastructure, or (3) API and Platform. You will be responsible for working backward from customer needs to prioritize new research, build evals and datasets, and work closely with AI researchers to build and execute project plans.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution.</li>\n<li>Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>8+ years experience in product/service/program management or software development.</li>\n<li>2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>A technical postgraduate degree is strongly preferred; a PhD is ideal but not mandatory.</li>\n<li>Demonstrated ability to bring enterprise or developer products to market by deeply engaging with end customers.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment.</li>\n<li>Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Product Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.</li>\n<li>Certain roles may be eligible for benefits and other compensation.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3ad5661c-052","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-product-manager-foundational-ai-research-4/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $139,900 – $274,800 per year","x-skills-required":["product management","software development","AI research","data evaluation","infrastructure","coding","safety"],"x-skills-preferred":["PhD","technical postgraduate degree","enterprise product management","developer product management"],"datePosted":"2026-03-06T07:27:43.388Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, software development, AI research, data evaluation, infrastructure, coding, safety, PhD, technical postgraduate degree, enterprise product management, developer product management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a7800e21-a43"},"title":"Principal Product Manager, AI Multimodal","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Product Manager, AI Multimodal at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technologies. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Product Manager, AI Multimodal, you will work at the nexus of product and research. Your products are the language and multimodal models that power Microsoft Copilot. You will be responsible for balancing product needs with research priorities, ensuring that Copilot&#39;s messages are high quality, factual and safe. 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