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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_051843ef-f93"},"title":"Vendor and Contract Manager, Safeguards","description":"<p>As the Vendor and Contract Manager on the Safeguards team, you will own the end-to-end lifecycle of Anthropic&#39;s safety-critical vendor, partner, and consultant relationships. This includes identifying and selecting vendors, contract negotiation, onboarding, ongoing performance management, and renewal.</p>\n<p>The vendors and partners you&#39;ll manage span verification, threat intelligence, process outsourcing, capability evaluation, civil society consultation, and research collaboration. You&#39;ll build repeatable processes where they&#39;re needed while staying nimble enough to handle novel partnership structures, like research collaborations, civil society consultations, and model red-teaming engagements that don&#39;t fit neatly into standard procurement workflows.</p>\n<p>You&#39;ll work closely with legal, procurement, finance, and engineering teams, and you&#39;ll be the person who knows where every Safeguards contract stands, what we&#39;re spending, and where we should consider a change.</p>\n<p>This is a role for someone who&#39;s comfortable operating across commercial, legal, and technical contexts in a fast-moving environment , someone who can negotiate contract terms, work with legal teams to redline contracts, set up model access for a research partner, and handle a vendor performance issue in one day.</p>\n<p>*Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.</p>\n<p>Responsibilities:</p>\n<p>Vendor Selection &amp; Onboarding - Understand the broad vendor landscape for Safeguards and drive vendor selection processes with expert input, factoring in tradeoffs between capability, price, and internal resources across categories including verification, threat intelligence, process outsourcing, and capability evaluation</p>\n<p>Conduct vendor due diligence and coordinate security and data governance reviews for vendors handling sensitive model access or content</p>\n<p>Forecast future partnership needs and proactively research vendors and partners that could meet emerging Safeguards requirements</p>\n<p>Contract &amp; Budget Management - Manage contracts across the Safeguards vendor and partner portfolio, working with legal and procurement teams on contract redlining, negotiation, and execution</p>\n<p>Work with legal teams and potential research partners to develop novel agreements for research collaboration, civil society consultation, and model red-teaming</p>\n<p>Handle invoicing, payment, and renewal processes with partners</p>\n<p>Own Safeguards vendor budget tracking and planning in partnership with finance teams, maintaining a clear picture of current spend and forecasting future needs</p>\n<p>Ongoing Vendor &amp; Partner Management - Manage vendor and researcher access to models and products during testing phases and trials</p>\n<p>Oversee and monitor vendor performance and usage, flagging issues and resolving concerns and disputes as they arise</p>\n<p>Report on vendor performance, spend, and contract status to Safeguards leadership</p>\n<p>You may be a good fit if you have:</p>\n<p>5+ years in vendor management, procurement, or contract operations, ideally in risk, fraud, compliance, or trust &amp; safety contexts at a technology company</p>\n<p>Demonstrated experience reviewing and negotiating contracts, including comfort with redlining and working alongside legal counsel</p>\n<p>Track record managing vendor budgets, including forecasting, tracking spend, and making tradeoff recommendations</p>\n<p>Understanding of AI safety, account abuse, or platform integrity issues , you know what verification vendors, threat intelligence providers, and content screening tools actually do</p>\n<p>Experience onboarding vendors and standing up new vendor relationships from scratch, not just managing existing ones</p>\n<p>Strong cross-functional collaboration skills, particularly with legal, procurement, finance, and engineering teams</p>\n<p>Comfort with ambiguity and fast-moving environments , you&#39;ve built or significantly improved vendor management processes, not just inherited them</p>\n<p>Nice to have:</p>\n<p>Experience in AI safety or AI-adjacent vendor ecosystems</p>\n<p>Familiarity with procurement tools such as Ironclad or Zip</p>\n<p>Annual compensation range for this role is $245,000-$285,000 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_051843ef-f93","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/5156596008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$245,000-$285,000 USD","x-skills-required":["vendor management","procurement","contract operations","risk management","fraud prevention","compliance","trust and safety","AI safety","account abuse prevention","platform integrity","verification vendors","threat intelligence providers","content screening tools"],"x-skills-preferred":["Ironclad","Zip","research collaboration","civil society consultation","model red-teaming"],"datePosted":"2026-04-18T15:54:23.403Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"vendor management, procurement, contract operations, risk management, fraud prevention, compliance, trust and safety, AI safety, account abuse prevention, platform integrity, verification vendors, threat intelligence providers, content screening tools, Ironclad, Zip, research collaboration, civil society consultation, model red-teaming","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":245000,"maxValue":285000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_be9836be-cee"},"title":"Software Engineer, Cybersecurity Products","description":"<p>We&#39;re looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You&#39;ll work across the stack to prototype new ideas and build from the ground up.</p>\n<p>This role sits at the intersection of research, product, and go-to-market. You&#39;ll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Prototype and build new AI-powered products for cybersecurity</li>\n<li>Iterate quickly based on customer feedback and what you learn</li>\n<li>Collaborate with research teams to identify and develop new model capabilities for security applications</li>\n<li>Engage directly with customers and partners to understand workflows and inform product direction</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 7+ years of experience as a software engineer</li>\n<li>Experience developing cybersecurity products</li>\n<li>Enjoy fast iteration and are energized by prototyping new ideas</li>\n<li>Have strong product instincts and enjoy defining what to build, not just how to build it</li>\n<li>Are comfortable working closely with research and go-to-market teams</li>\n<li>Have strong communication skills and can work effectively across functions</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields</li>\n<li>Experience working with AI/ML models and building products on top of them</li>\n<li>Experience building agentic applications</li>\n</ul>\n<p>The annual compensation range for this role is $320,000-$405,000 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_be9836be-cee","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/5063007008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["software engineering","cybersecurity","AI/ML","product development","research collaboration"],"x-skills-preferred":["incident response","reverse engineering","network analysis","penetration testing","agentic applications"],"datePosted":"2026-04-18T15:51:09.722Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, cybersecurity, AI/ML, product development, research collaboration, incident response, reverse engineering, network analysis, penetration testing, agentic applications","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7e3331e3-3f3"},"title":"Software Engineer, Research - Human Data","description":"<p><strong>Software Engineer, Research - Human Data</strong></p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences — the <strong>Human Data</strong> team is at the heart of that effort.</p>\n<p>The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world.</p>\n<p>We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment.</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>Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.</li>\n</ul>\n<ul>\n<li>Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.</li>\n</ul>\n<ul>\n<li>Design and iterate on user-facing tools and backend services to support high-quality data workflows</li>\n</ul>\n<ul>\n<li>Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms</li>\n</ul>\n<ul>\n<li>Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have strong software engineering fundamentals and experience building production systems at scale</li>\n</ul>\n<ul>\n<li>Enjoy full-stack development with end-to-end ownership — from backend pipelines to user interfaces</li>\n</ul>\n<ul>\n<li>Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems</li>\n</ul>\n<ul>\n<li>Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values</li>\n</ul>\n<ul>\n<li>Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness</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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_7e3331e3-3f3","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/4d6a5951-9838-434c-830a-22cb938ea228","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"US$230K – $385K • Offers Equity\nLondon£131K – £245K • Offers Equity","x-skills-required":["software engineering","full-stack development","data labeling","evaluation pipelines","security","inference and model training stacks","user-facing tools","backend services","data workflows","research collaboration","model interaction paradigms","infrastructure improvements","AI systems","human preferences","inclusive tooling","model safety","reliability","usefulness"],"x-skills-preferred":["strong software engineering fundamentals","experience building production systems at scale","full-stack development with end-to-end ownership","high-impact collaboration with research teams","solving novel, ambiguous problems","shaping how AI systems learn from human preferences"],"datePosted":"2026-03-06T18:39:21.723Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, full-stack development, data labeling, evaluation pipelines, security, inference and model training stacks, user-facing tools, backend services, data workflows, research collaboration, model interaction paradigms, infrastructure improvements, AI systems, human preferences, inclusive tooling, model safety, reliability, usefulness, strong software engineering fundamentals, experience building production systems at scale, full-stack development with end-to-end ownership, high-impact collaboration with research teams, solving novel, ambiguous problems, shaping how AI systems learn from human preferences","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":131000,"maxValue":385000,"unitText":"YEAR"}}}]}