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As a key member of our team, you will be responsible for developing and executing go-to-market strategies for our fund administration products in Europe.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Own the European Market Narrative: Lead the company&#39;s understanding of the UK/European market, serving as the definitive expert on local competitors, buyer behaviors, and regulatory nuances.</li>\n</ul>\n<ul>\n<li>Architect Regional GTM Strategy: Design and orchestrate comprehensive GTM strategies for the European market, ensuring new launches achieve deep market penetration and support aggressive pipeline and revenue targets</li>\n</ul>\n<ul>\n<li>Influence the Global Roadmap: Triangulate insights from local Sales, CSMs, and primary research to credibly advocate for product features that solve critical European-specific needs.</li>\n</ul>\n<ul>\n<li>Scale Global Innovation: Act as the primary strategic partner to the UK Business Unit, orchestrating the regional rollout of US-based product innovation. 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You will align regional resources from Sales enablement to Marketing campaigns to ensure every product launch delivers a measurable and positive impact on the UK P&amp;L.</li>\n</ul>\n<p>About You:</p>\n<ul>\n<li>5-8 years of experience in B2B product marketing, with a specific focus on SaaS fintech or private markets (Venture Capital or Private Equity).</li>\n</ul>\n<ul>\n<li>Enterprise experience: Proven track record of marketing complex products to sophisticated, upmarket personas (e.g., CFOs or General Partners).</li>\n</ul>\n<ul>\n<li>Technical Mastery: The tenacity to quickly become a domain expert who can understand technical product details at a deep level and translate them into value-driven stories.</li>\n</ul>\n<ul>\n<li>Influential Leadership: Demonstrated success in influencing senior stakeholders (Product, Sales, and Delivery) to align on regional priorities and GTM execution.</li>\n</ul>\n<ul>\n<li>Exceptional Communication: A deep-seated obsession with customer storytelling; you can translate product details into emotional narratives that differentiate a brand in a competitive landscape.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Building from the Ground Up: Experience building a PMM function or regional strategy with minimal day-to-day oversight.</li>\n</ul>\n<ul>\n<li>AI Experimentation: A predisposition toward experimenting with AI tools to automate routine workflows and uncover deeper market insights.</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_d6759858-d17","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Carta","sameAs":"https://carta.com/","logo":"https://logos.yubhub.co/carta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/carta/jobs/6650288003","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product marketing","SaaS fintech","private markets","venture capital","private equity","enterprise experience","complex product marketing","upmarket personas","CFOs","General Partners","technical mastery","domain expertise","value-driven stories","influential leadership","senior stakeholders","regional priorities","GTM execution","exceptional communication","customer storytelling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:54.167Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Finance","skills":"product marketing, SaaS fintech, private markets, venture capital, private equity, enterprise experience, complex product marketing, upmarket personas, CFOs, General Partners, technical mastery, domain expertise, value-driven stories, influential leadership, senior stakeholders, regional priorities, GTM execution, exceptional communication, customer storytelling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9b4f2906-612"},"title":"Industry Principal, Insurance","description":"<p>As the Insurance Industry Advisor at Anthropic, you will serve as the technical and strategic face of Claude to the world&#39;s leading insurance carriers, brokers, reinsurers, and insurtech companies. You&#39;ll combine deep insurance domain expertise with technical credibility to help customers envision, architect, and realise transformational AI solutions. This role sits at the intersection of technical leadership, customer engagement, product strategy, and internal enablement.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Technical Evangelism &amp; Thought Leadership: Represent Anthropic&#39;s technical vision to the insurance industry through conference keynotes, executive briefings, whitepapers, and industry advisory boards. Establish Claude as the leading AI platform for P&amp;C, Life, and Reinsurance markets.</li>\n</ul>\n<ul>\n<li>Strategic Customer Engagement: Serve as executive technical sponsor for strategic insurance accounts, engaging CIOs, CTOs, Chief Underwriting Officers, Chief Claims Officers, and Heads of AI/ML on enterprise AI strategy. 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Influence without authority across the organisation.</li>\n</ul>\n<ul>\n<li>Regulatory &amp; Compliance Navigation: Partner internally and externally to develop thought leadership regarding AI governance frameworks aligned with state insurance regulations, NAIC guidelines, and international requirements. Help customers understand model risk management, explainability requirements, and responsible AI practices for insurance.</li>\n</ul>\n<ul>\n<li>Ecosystem Partnership: Build technical relationships with GSIs (Deloitte, Accenture, McKinsey), cloud providers (AWS, Azure, GCP), and insurance technology vendors (Guidewire, Duck Creek, Majesco).</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>20+ years of experience in technology and/or business roles with at least 8 years in senior leadership positions (CTO, VP Engineering, Chief Architect, Chief Underwriting Officer, Head of Claims Technology, Distinguished Engineer) in insurance</li>\n</ul>\n<ul>\n<li>Deep domain expertise across multiple insurance segments,P&amp;C (personal and commercial lines), Life &amp; Annuities, or Reinsurance,with hands-on experience building or operating mission-critical systems</li>\n</ul>\n<ul>\n<li>Strong understanding of AI/ML technologies including large language models, with the ability to engage credibly on technical architecture, model behaviour, and system design</li>\n</ul>\n<ul>\n<li>Established executive networks across insurance technology leadership (CIOs, CTOs, Chief Underwriting Officers) and credibility as a thought leader in the industry</li>\n</ul>\n<ul>\n<li>Deep knowledge of insurance regulatory requirements (state insurance regulations, NAIC model laws, Solvency II, Lloyd&#39;s requirements) and experience implementing compliant technology solutions</li>\n</ul>\n<ul>\n<li>Skilled at translating complex technical concepts into business value propositions that resonate with both technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience influencing product roadmaps based on customer feedback and market requirements, working effectively with Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Passionate about responsible AI development and Anthropic&#39;s mission, with a commitment to helping insurers adopt AI safely and beneficially</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_9b4f2906-612","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5133070008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$360,000-$550,000 USD","x-skills-required":["AI/ML technologies","Insurance domain expertise","Technical leadership","Customer engagement","Product strategy","Internal enablement","Regulatory compliance","Ecosystem partnership"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:31.107Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI/ML technologies, Insurance domain expertise, Technical leadership, Customer engagement, Product strategy, Internal enablement, Regulatory compliance, Ecosystem partnership","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":360000,"maxValue":550000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_38ba8f1b-783"},"title":"Occupational Math Tutor","description":"<p>As an AI Tutor – Occupational Math Specialist, you&#39;ll help advance xAI&#39;s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. 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Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.</p>\n<p>Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. 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We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success.</p>\n<p>Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.</p>\n<p>AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. 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You’ll prototype, automate, design, and ship , using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.</p>\n<p>Our Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll move fast by pairing sharp product judgment with fluency in AI tools , automating what slows teams down and amplifying what makes them creative and high-performing.</p>\n<p>We’re here to serve small and medium businesses. Gusto has a strong mission-driven culture, and we care deeply about lifting up these business owners , building technology for an AI-first world that gives them the superpowers to run and grow their businesses with confidence.</p>\n<p>We’re comfortable with change. Our environment moves fast, and PMs here thrive in ambiguity , blending curiosity, experimentation, and AI-native craft to shape how products (and work itself) are built at Gusto.</p>\n<p>About the Team: The Tax Credits team is a “mini startup” within Gusto, and an incredibly talented group of people that have a mix of deep customer empathy, domain expertise, and a strong desire to innovate. Our mission is to grow and add value to our customer base, and continually test and refine tools designed to help these customers unlock savings through tax credits and grants.</p>\n<p>If you enjoy uncovering &amp; solving big problems, driving lean experimentation, building 0 to 1 product experiences, and making a big impact on the lives of small business owners, we’d love to hear from you.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<p>Ownership: Spearhead the development of a product &amp; business aimed at unlocking value for existing Gusto customers as well as expanding Gusto’s customer base to new segments</p>\n<p>North Star: Unlocking savings for SMBs through tax credits</p>\n<p>Collaborate: Partner closely with Engineering, Design, Ops and Data Science on all stages of the product development process, and partner with the GM and Revenue team to grow the business and optimize its unit economics</p>\n<p>Lead product discovery to uncover and deeply understand customer problems and test risky assumptions</p>\n<p>Run lean experiments and A/B tests to quickly prove out hypotheses and test new concepts. Always looking for ways to get stronger signal on new ideas</p>\n<p>Create a long-term vision and strategy that defines the big problems we can solve well with a durable competitive advantage</p>\n<p>Here’s what we&#39;re looking for:</p>\n<ul>\n<li>8+ years of hands-on Product Management experience or 12+ years of relevant work experience</li>\n</ul>\n<p>Proven track record of building 0 to 1 products with nice to haves in:</p>\n<ul>\n<li>Strong product discovery skills and analytical skills</li>\n</ul>\n<p>The intangibles: natural curiosity, grit, customer obsession, and attention to detail</p>\n<p>The ability to tell a compelling story that drives alignment and inspires action</p>\n<p>Strong collaboration skills; ability to quickly build trust quickly</p>\n<p>A passion for helping small businesses</p>\n<p>If you don&#39;t think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we&#39;re looking for someone excited to join the team.</p>\n<p>Our cash compensation amount for this role is $179,000/yr to $224,000/yr in Denver &amp; most major metro locations, and $210,000/yr to $263,000/yr for San Francisco, Seattle &amp; New York. 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Execution: Develop and execute go-to-market strategies for mid-market companies (500–2,500 employees) across Financial Services, Insurance, Life Sciences, and Healthcare verticals.</p>\n<p>Team Building &amp; Leadership at Scale: Build and lead a multi-layered verticalized sales organization, managing both first-line managers and managers of managers.</p>\n<p>Rapid Scale Operations: Establish and iterate on the systems, processes, and playbooks required to scale a mid-market vertical sales motion from early traction to significant revenue.</p>\n<p>Pipeline &amp; Revenue Ownership: Own pipeline development, forecasting, and quota attainment across mid-market vertical segments.</p>\n<p>Product Partnership: Partner with Product and Research to identify mid-market-specific feature requirements, packaging needs, and integration patterns.</p>\n<p>Cross-functional Collaboration: Work closely with Solutions Engineering, Customer Success, Legal, Marketing, and Partnerships to build seamless customer experiences.</p>\n<p>Vertical Expansion: Develop frameworks and playbooks for extending vertical coverage into new industries within the mid-market segment.</p>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of enterprise/mid-market sales experience with at least 5 years in sales leadership roles, including experience managing both first-line managers and managers of managers</li>\n</ul>\n<ul>\n<li>Experienced rapid scale in multiple contexts,you’ve built teams from small to large, launched new segments or territories, and know what it takes to go from 0-to-1 and 1-to-100</li>\n</ul>\n<ul>\n<li>Proven track record of building and scaling verticalized sales teams selling to mid-market companies (500–2,500 employees), ideally at high-growth technology companies</li>\n</ul>\n<ul>\n<li>Domain expertise in at least one of the core verticals (FSI, Insurance, Life Sciences, Healthcare) with understanding of how mid-market buyers in these industries evaluate and adopt technology</li>\n</ul>\n<ul>\n<li>Skilled at translating technical AI capabilities into vertical-specific value propositions that resonate with mid-market buyers who may have less technical sophistication than enterprise counterparts</li>\n</ul>\n<ul>\n<li>Experience building repeatable sales processes, playbooks, and enablement programs that allow teams to scale efficiently</li>\n</ul>\n<ul>\n<li>Comfortable operating in ambiguous, fast-changing environments while maintaining operational discipline and forecasting accuracy</li>\n</ul>\n<p>Annual compensation range for this role is $360,000-$550,000 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_ae3926a2-252","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/5188606008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$360,000-$550,000 USD","x-skills-required":["Enterprise/mid-market sales experience","Sales leadership roles","Domain expertise in Financial Services, Insurance, Life Sciences, Healthcare","Ability to translate technical AI capabilities into vertical-specific value propositions","Experience building repeatable sales processes, playbooks, and enablement programs"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:41:09.960Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Enterprise/mid-market sales experience, Sales leadership roles, Domain expertise in Financial Services, Insurance, Life Sciences, Healthcare, Ability to translate technical AI capabilities into vertical-specific value propositions, Experience building repeatable sales processes, playbooks, and enablement programs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":360000,"maxValue":550000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_516a85f4-c5e"},"title":"Industry Principal, Insurance","description":"<p>As the Industry Principal, Insurance at Anthropic, you will serve as the technical and strategic face of Claude to the world&#39;s leading insurance carriers, brokers, reinsurers, and insurtech companies. You&#39;ll combine deep insurance domain expertise with technical credibility to help customers envision, architect, and realise transformational AI solutions,while building Anthropic&#39;s reputation as the trusted AI platform for one of the most complex and regulated industries in the world.</p>\n<p>This role sits at the intersection of technical leadership, customer engagement, product strategy, and internal enablement. You&#39;ll work directly with CIOs, CTOs, Chief Underwriting Officers, Chief Claims Officers, and technology leaders at major insurers and brokers to design solutions that address their most critical challenges,from underwriting automation and claims processing to fraud detection and customer experience. Your insights will flow directly to Product and Research, shaping Claude&#39;s roadmap for insurance. 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Build peer-to-peer relationships that position Anthropic as a strategic transformation partner.</li>\n</ul>\n<ul>\n<li>Product Partnership &amp; Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities. Partner closely with Product and Research to develop insurance-specific capabilities including model governance, explainability, audit logging, and regulatory compliance features.</li>\n</ul>\n<ul>\n<li>Pricing &amp; Commercial Strategy: Contribute to pricing and packaging decisions with insurance market insight. Understand value drivers for different insurance segments, competitive positioning, and deal structuring that aligns with how insurers buy technology.</li>\n</ul>\n<ul>\n<li>Internal Enablement &amp; Advocacy: Train and uplift Anthropic&#39;s GTM teams on insurance domain expertise, use cases, and buyer personas. Create enablement content, conduct training sessions, and serve as the internal authority on all things insurance. Influence without authority across the organisation.</li>\n</ul>\n<ul>\n<li>Regulatory &amp; Compliance Navigation: Partner internally and externally to develop thought leadership regarding AI governance frameworks aligned with state insurance regulations, NAIC guidelines, and international requirements. Help customers understand model risk management, explainability requirements, and responsible AI practices for insurance.</li>\n</ul>\n<ul>\n<li>Ecosystem Partnership: Build technical relationships with GSIs (Deloitte, Accenture, McKinsey), cloud providers (AWS, Azure, GCP), and insurance technology vendors (Guidewire, Duck Creek, Majesco).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Have 20+ years of experience in technology and/or business roles with at least 8 years in senior leadership positions (CTO, VP Engineering, Chief Architect, Chief Underwriting Officer, Head of Claims Technology, Distinguished Engineer) in insurance</li>\n</ul>\n<ul>\n<li>Have deep domain expertise across multiple insurance segments,P&amp;C (personal and commercial lines), Life &amp; Annuities, or Reinsurance,with hands-on experience building or operating mission-critical systems</li>\n</ul>\n<ul>\n<li>Have a strong understanding of AI/ML technologies including large language models, with the ability to engage credibly on technical architecture, model behaviour, and system design</li>\n</ul>\n<ul>\n<li>Have established executive networks across insurance technology leadership (CIOs, CTOs, Chief Underwriting Officers) and credibility as a thought leader in the industry</li>\n</ul>\n<ul>\n<li>Have deep knowledge of insurance regulatory requirements (state insurance regulations, NAIC model laws, Solvency II, Lloyd&#39;s requirements) and experience implementing compliant technology solutions</li>\n</ul>\n<ul>\n<li>Are skilled at translating complex technical concepts into business value propositions that resonate with both technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Have experience influencing product roadmaps based on customer feedback and market requirements, working effectively with Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Are passionate about responsible AI development and Anthropic&#39;s mission, with a commitment to helping insurers adopt AI safely and beneficially</li>\n</ul>\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</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. 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You will work with multiple project leads across a vast portfolio of robotics data projects, ensuring technical milestones are met, dependencies are de-risked, and stakeholders are aligned. You should be prepared to wear many hats and be excited about intense, impactful work that leads to accelerated career progression.\\n\\nYour key responsibilities will include:\\n\\n<em> Driving multi-project outcomes: serving as the primary driver for a portfolio of robotics projects, tracking milestones, deliverables, and dependencies to ensure on-time delivery for the world’s leading AI researchers.\\n</em> Bridging the technical-operational gap: acting as the central liaison between AI clients, hardware engineers, and global operational teams to translate high-level goals into executable data collection workflows.\\n<em> Architecting scalable pipelines: partnering with engineering to design and optimize end-to-end data ingestion pipelines, ensuring they can handle the high-fidelity sensor data (video, logs, teleop) required for Vision-Language-Action (VLA) models.\\n</em> Enforcing data quality &amp; governance: defining KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards.\\n<em> Standardizing for scale: developing and refining Standard Operating Procedures (SOPs) that allow us to scale collection efforts across global, distributed teams.\\n</em> Communicating with precision: providing regular, data-driven progress updates to Scale’s executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots.\\n\\nTo succeed in this role, you will need:\\n\\n<em> A strong technical foundation: a degree in Engineering, Computer Science, or a related field, combined with a deep understanding of AI/ML.\\n</em> 2-3+ years of TPM experience: proven track record of managing complex, cross-functional technical programs, ideally in robotics, hardware, or large-scale data operations.\\n<em> Hands-on problem-solving skills: a proactive approach to overcoming technical and logistical roadblocks in a fast-paced environment.\\n</em> Operational grit: experience &quot;in the weeds&quot; of operational challenges - you don’t just identify bottlenecks; you build the solution to clear them.\\n<em> Entrepreneurial mindset: you are comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment.\\n\\nNice to have:\\n\\n</em> SQL proficiency: ability to pull your own data and build your own tracking dashboards.\\n<em> Global experience: experience interacting with distributed teams or collection sites across different time zones.\\n</em> Robotics domain expertise: familiarity with robotic hardware, sensor calibration, or the nuances of collecting data for Physical AI.\\n* AI/CV knowledge: familiarity with Computer Vision or Large Language Model (LLM) training requirements.</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_2f00084c-002","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/4663997005","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$151,200-$189,000 USD","x-skills-required":["Technical Program Management","Robotics Data","AI/ML","Data Ingestion Pipelines","SQL","Dashboards"],"x-skills-preferred":["SQL Proficiency","Global Experience","Robotics Domain Expertise","AI/CV Knowledge"],"datePosted":"2026-04-18T15:36:47.197Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Robotics Data, AI/ML, Data Ingestion Pipelines, SQL, Dashboards, SQL Proficiency, Global Experience, Robotics Domain Expertise, AI/CV Knowledge","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":151200,"maxValue":189000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c7558ad5-43b"},"title":"Senior Data Analyst- Fraud & AML","description":"<p>We are seeking a Senior Data Analyst to join our Compliance Program and play a pivotal role in modernizing and strengthening our financial crime detection capabilities. You will architect, build, and optimize data-driven transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions that directly support BSA/AML regulatory compliance.</p>\n<p>This is a high-impact, cross-functional role that blends advanced analytics, machine learning, and deep compliance domain expertise. You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling;</li>\n<li>Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators;</li>\n<li>Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring;</li>\n<li>Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools;</li>\n<li>Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps;</li>\n<li>Support regulatory examinations (e.g., NYDFS Part 504) by preparing analytical documentation, third-party validation materials, and executive certification packages;</li>\n<li>Drive continuous improvement of compliance operations through automation, process optimization, and advanced analytics.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance;</li>\n<li>Master’s degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field;</li>\n<li>Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred);</li>\n<li>Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles;</li>\n<li>Demonstrated ability to translate complex regulatory requirements into actionable data solutions and present findings to senior leadership and regulators;</li>\n<li>Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Experience leading cross-functional initiatives involving Engineering, Legal, Product Compliance, and external consulting partners;</li>\n<li>Background in building internal case management systems, SAR automation tools, or RPA solutions;</li>\n<li>Familiarity with AML detection platforms;</li>\n<li>Track record of delivering measurable impact (e.g., reduced case volumes, improved detection of high-risk activity, increased operational efficiency).</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>$148,000- $220,000 USD</p>\n<p>Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p>ITAR Requirements:</p>\n<p>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.</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_c7558ad5-43b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5105096007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$148,000- $220,000 USD","x-skills-required":["Python","SQL","AI-enabled tooling","Data science","Advanced analytics","Machine learning","Compliance domain expertise","BSA/AML regulations","Suspicious activity reporting","Customer due diligence","Sanctions screening","Model risk management principles"],"x-skills-preferred":["Experience leading cross-functional initiatives","Background in building internal case management systems","Familiarity with AML detection platforms","Track record of delivering measurable impact"],"datePosted":"2026-04-18T15:25:40.783Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Python, SQL, AI-enabled tooling, Data science, Advanced analytics, Machine learning, Compliance domain expertise, BSA/AML regulations, Suspicious activity reporting, Customer due diligence, Sanctions screening, Model risk management principles, Experience leading cross-functional initiatives, Background in building internal case management systems, Familiarity with AML detection platforms, Track record of delivering measurable impact","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":148000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3dba7f0f-986"},"title":"Forward Deployed Banker (AI Strategist)","description":"<p>Job Title: Forward Deployed Banker (AI Strategist)</p>\n<p>About Hebbia</p>\n<p>Hebbia is an AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world&#39;s largest asset managers.</p>\n<p>Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.</p>\n<p>We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.</p>\n<p>Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.</p>\n<p>About the AI Strategy Team</p>\n<p>Our AI Strategists are deep domain experts and problem-solvers who bridge product, commercial strategy, and customer impact. They understand deeply the manual drain of our users&#39; workflows and the myriad ways Hebbia provides value, and are focused on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done.</p>\n<p>As we continue to scale in hypergrowth, our AI Strategists sit at the intersection of GTM, product, and post-sales - helping shape commercial strategy and expanding our footprint across the global financial industry landscape. The team owns deployment and early adoption, leads strategic growth initiatives post-sale, and partners cross-functionally to inform product roadmap, sales strategy, and executive account management.</p>\n<p>About the Role</p>\n<p>This is not a typical post-sales role: you&#39;ll drive the strategic deployment and measurable value creation of Hebbia&#39;s platform across top global financial institutions, shaping how AI transforms the enterprise.</p>\n<p>Our AI Strategists bring curiosity, critical thinking, commercial edge, and executive polish - they move seamlessly between strategic conversations and hands-on execution in a fast-moving environment.</p>\n<p>If you thrive on solving complex problems, building meaningful partnerships, and helping define how AI reshapes finance, we&#39;d love to meet you.</p>\n<p>Responsibilities</p>\n<p>Apply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia&#39;s product and features, and apply to complex professional settings and workflows</p>\n<p>Build domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.)</p>\n<p>Become a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor</p>\n<p>Drive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy</p>\n<p>Optimize processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience</p>\n<p>Own in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs</p>\n<p>Who You Are</p>\n<p>Bachelor&#39;s degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law</p>\n<p>1-5 years of client-facing experience in top-tier investment banking, institutional investing, corporate law, corporate finance, or consulting roles; relevant internship experience can be considered for recent grads</p>\n<p>Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities</p>\n<p>Experience and comfort with leading LLM models and tools; we want to hear about what you&#39;ve built/tested/researched</p>\n<p>Bonus:</p>\n<p>5-10 years of client-facing experience with an emphasis on relationship-building</p>\n<p>Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations</p>\n<p>Technical startup and/or founder experience, building systems and processes for scale</p>\n<p>LLM technical knowledge and practical experience implementing into professional workflows</p>\n<p>Compensation</p>\n<p>The combined base + bonus compensation range (OTE) for this role is $90,000 - $160,000 + competitive equity. The OTE range for those who meet Bonus qualifications is $160,000 - $225,000. These ranges are inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate&#39;s experience and qualifications. 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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.\\n\\n- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts\\n\\n- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)\\n\\n- 401(k) retirement plan with employer match\\n\\n- 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)\\n\\n- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees\\n\\n- 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)\\n\\n- Mental health and wellness support\\n\\n- Employer-paid basic life and disability coverage\\n\\n- Annual learning and development stipend to fuel your professional growth\\n\\n- Daily meals in our offices, and meal delivery credits as eligible\\n\\n- Relocation support for eligible employees\\n\\n- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.\\n\\n## About the Team\\n\\nAt OpenAI, our Trust, Safety &amp; Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base.\\n\\n## About the Role\\n\\nWe’re looking for experience Trust, Safety, and Risk Operations analysts who have subject matter expertise in one or more of the following areas: policy enforcement and content moderation, fraud and scam prevention, developer risk, or privacy and regulatory escalations. You’ll be on the front lines of safety escalation management, helping to triage and resolve urgent and sensitive cases. You’ll work across subject matter areas, systems, and processes to ensure operational excellence, develop process improvements and automations, and surface insights and trends.\\n\\n## In This Role, You Will:\\n\\n- Handle and resolve high-priority cases across all harm and risk areas, ensuring timely and appropriate resolution in line with policy and legal requirements.\\n\\n- Operate across multiple systems and tools to manage user reports and tickets, internal escalations, and other high priority investigations.\\n\\n- Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation.\\n\\n- Identify and implement process improvements and automation opportunities to increase efficiency, accuracy, and coverage.\\n\\n- Conduct quality reviews and provide feedback to improve consistency across global teams.\\n\\n- Analyze trends and generate insights from escalation and case data to inform policy, product, model behavior, or detection improvements.\\n\\n- Maintain exceptional accuracy, judgment, and composure under pressure when handling sensitive or time-critical situations.\\n\\n- Participate in 24/7 on-call rotation, including off-hours and weekend coverage as needed.\\n\\n## You Might Thrive in This Role If You:\\n\\n- Have 5+ years of experience in trust &amp; safety, content moderation, investigations, fraud, or developer risk operations.\\n\\n- Have experience working in incident response, law enforcement response, or escalations management.\\n\\n- Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact.\\n\\n- Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks.\\n\\n- Have a track record of scaling operations, building processes, and working cross-functionally to improve performance and safety outcomes.\\n\\n- Possess exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence.\\n\\n- Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts.\\n\\n- Thrive in ambiguous, high-autonomy environments and balance speed with diligence.\\n\\n- Are comfortable with frequent context switching, managing multiple projects, and prioritizing impact.\\n\\n## About OpenAI\\n\\nOpenAI 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.\\n\\n## Required Skills\\n\\n- Trust and Safety\\n\\n- Content Moderation\\n\\n- Investigations\\n\\n- Fraud and Scam Prevention\\n\\n- Developer Risk\\n\\n- Privacy and Regulatory Escalations\\n\\n## Preferred Skills\\n\\n- Incident Response\\n\\n- Law Enforcement Response\\n\\n- Escalations Management\\n\\n- OpenAI Technology\\n\\n- Deep Domain Expertise\\n\\n- Analytical Skills\\n\\n- Communication Skills\\n\\</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_febb2521-ab0","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/9e77e103-6b70-4b45-a344-d87c4a2d7e12","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$189K – $280K","x-skills-required":["Trust and Safety","Content Moderation","Investigations","Fraud and Scam Prevention","Developer Risk","Privacy and Regulatory Escalations"],"x-skills-preferred":["Incident Response","Law Enforcement Response","Escalations Management","OpenAI Technology","Deep Domain Expertise","Analytical Skills","Communication Skills"],"datePosted":"2026-03-08T22:16:27.787Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Trust and Safety, Content Moderation, Investigations, Fraud and Scam Prevention, Developer Risk, Privacy and Regulatory Escalations, Incident Response, Law Enforcement Response, Escalations Management, OpenAI Technology, Deep Domain Expertise, Analytical Skills, Communication Skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189000,"maxValue":280000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_912450ea-c61"},"title":"Research Engineer, Environment Scaling","description":"<p><strong>About the role</strong></p>\n<p>The Environment Scaling team is a team of researchers and engineers whose goal is to improve the intelligence of our public models for novel verticals and use cases. The team builds the training environments that fuel RL at scale. This is a unique role that combines executing directly on ML research, data operations, and project management to improve our models. You&#39;ll own the end-to-end process of creating RL environments for new capabilities: identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Improve and execute our fine-tuning strategies for adapting Claude to new domains and tasks</li>\n<li>Manage technical relationships with external data vendors, including evaluation of data quality and reward design</li>\n<li>Collaborate with domain experts to design data pipelines and evaluations</li>\n<li>Explore novel ways of creating RL environments for high value tasks</li>\n<li>Develop and improve QA frameworks to catch reward hacking and ensure environment quality</li>\n<li>Partner with other RL research teams and product teams to translate capability goals into training environments and evals</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience with fine-tuning large language models for specific domains or real-world use cases and/or domain expertise in an area where we would like to make our models more useful.</li>\n<li>Have experience with reinforcement learning, reward design, or training data curation for LLMs</li>\n<li>Are comfortable managing technical vendor relationships and iterating quickly on feedback</li>\n<li>Find value in reading through datasets to understand them and spot issues</li>\n<li>Have strong project management and interpersonal skills</li>\n<li>Are passionate about making AI more useful and accessible across different industries</li>\n<li>Are excited about a role that includes a combination of ML research, data operations, and project management</li>\n</ul>\n<p><strong>Strong candidates may also:</strong></p>\n<ul>\n<li>Have experience training production ML systems</li>\n<li>Be familiar with distributed systems and cloud infrastructure</li>\n<li>Have domain expertise in an area where we would like to make our models more useful</li>\n<li>Have experience working with external vendors or technical partners</li>\n</ul>\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. 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, CA.</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_912450ea-c61","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/4951064008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $850,000USD","x-skills-required":["fine-tuning large language models","reinforcement learning","reward design","training data curation","project management","interpersonal skills"],"x-skills-preferred":["experience training production ML systems","distributed systems and cloud infrastructure","domain expertise in an area where we would like to make our models more useful","experience working with external vendors or technical partners"],"datePosted":"2026-03-08T13:47:17.433Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"fine-tuning large language models, reinforcement learning, reward design, training data curation, project management, interpersonal skills, experience training production ML systems, distributed systems and cloud infrastructure, domain expertise in an area where we would like to make our models more useful, experience working with external vendors or technical partners","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_442b4d5e-4a8"},"title":"Research Engineer, Virtual Collaborator (Cowork)","description":"<p><strong>About the role</strong></p>\n<p>We are looking for a Research Engineer to help us train Claude specifically for virtual collaborator workflows. While Claude excels at general tasks, a lot of knowledge work requires targeted training on real organisational data and workflows. Your job will be to design and implement reinforcement learning (RL) environments that transform Claude into the best virtual collaborator, training on realistic tasks from navigating internal knowledge to creating financial models.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Training Claude on document manipulation with good taste, including understanding, enhancing, and co-creating (e.g., Office doc formats, data visualisation)</li>\n<li>Designing and implementing reinforcement learning pipelines targeted at virtual collaborator use cases (productivity, organisational navigation, vertical domains)</li>\n<li>Building and scaling our data creation platform for generating high-quality, open-ended tasks with domain experts and crowdworkers Integrating real organisational data to create realistic training environments</li>\n<li>Developing robust evaluation systems that maintain quality while avoiding reward hacking</li>\n<li>Partnering directly with product teams (e.g., Cowork, claude.ai) to ensure training aligns with product features</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Are a very experienced Python programmer who can quickly produce reliable, high-quality code that your teammates love using</li>\n<li>Have 5-8 years of strong machine learning experience</li>\n<li>Thrive at the intersection of research and product, with a pragmatic approach to solving real-world problems</li>\n<li>Are comfortable with ambiguity and can balance research rigor with shipping deadlines</li>\n<li>Enjoy collaborating across multiple teams (data operations, model training, product)</li>\n<li>Can context-switch between research problems and product engineering tasks</li>\n<li>Care about making AI genuinely helpful for everyday enterprise workflows</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>Creating RL envs for realistic tasks.</li>\n<li>Reward modelling and preventing reward hacking</li>\n<li>Building human-in-the-loop training systems or crowdsourcing platforms</li>\n<li>Working with enterprise tools and APIs (Google Workspace, Microsoft Office, Slack, etc.)</li>\n<li>Developing evaluation frameworks for open-ended tasks</li>\n<li>Domain expertise in finance, legal, or healthcare workflows</li>\n<li>Creating scalable data pipelines with quality control mechanisms</li>\n<li>Translating product requirements into technical training objectives</li>\n</ul>\n<p><strong>Deadline to apply:</strong></p>\n<p>None. Applications will be reviewed on a rolling basis.</p>\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:</strong></p>\n<p>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.</p>\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. 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 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_442b4d5e-4a8","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/4946308008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$500,000 - $850,000 USD","x-skills-required":["Python","Machine learning","Reinforcement learning","Data visualisation","Enterprise tools and APIs"],"x-skills-preferred":["Human-in-the-loop training systems","Crowdsourcing platforms","Domain expertise in finance, legal, or healthcare workflows"],"datePosted":"2026-03-08T13:46:25.630Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine learning, Reinforcement learning, Data visualisation, Enterprise tools and APIs, Human-in-the-loop training systems, Crowdsourcing platforms, Domain expertise in finance, legal, or healthcare workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":500000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b51f695-3f8"},"title":"Trust & Safety Operations Analyst","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Trust &amp; Safety Operations Analyst</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><strong>Compensation</strong></p>\n<ul>\n<li>$189K – $280K • 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. 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>At OpenAI, our Trust, Safety &amp; Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base.</p>\n<p>We support users across ChatGPT, our API, enterprise offerings, and developer tools handling sensitive inbound cases, building detection and enforcement systems, and scaling operational processes to meet the demands of a fast-moving, high-stakes environment.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>We are seeking experienced, senior-level analysts who specialize in one or more of the following areas:</p>\n<ul>\n<li><strong>Content Integrity &amp; Scaled Enforcement</strong> – Detecting, reviewing, and acting on policy violations, harmful content, and emerging abuse patterns at scale.</li>\n</ul>\n<ul>\n<li><strong>Emerging Risk Operations</strong> – Identifying, triaging, and mitigating new and complex safety, policy, or integrity challenges in a rapidly evolving AI landscape.</li>\n</ul>\n<p>In this role, you will own high-sensitivity workflows, act as an incident manager for complex cases, and build scalable operational systems; including tooling, automation, and vendor processes that reinforce user safety and trust while meeting our legal, ethical, and product obligations.</p>\n<p>We use a hybrid work model of 3 days in the San Francisco office per week and offer relocation assistance to new employees.</p>\n<p>Please note: This role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing.</p>\n<p><strong>In This Role, You Will:</strong></p>\n<ul>\n<li>Handle and resolve high-priority cases in your area of specialization (scaled content enforcement, fraud/scams, privacy/regulatory, or emerging risks).</li>\n</ul>\n<ul>\n<li>Perform in-depth risk evaluations and investigations using internal tools, product signals, and third-party data.</li>\n</ul>\n<ul>\n<li>Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation.</li>\n</ul>\n<ul>\n<li>Partner with cross-functional teams to design and implement world-class operational workflows, decision trees, and automation strategies.</li>\n</ul>\n<ul>\n<li>Build feedback loops from casework to inform product, engineering, and policy improvements.</li>\n</ul>\n<ul>\n<li>Develop and maintain playbooks, SOPs, macros, and knowledge resources for internal teams and vendors.</li>\n</ul>\n<ul>\n<li>Lead or contribute to cross-functional projects, from zero-to-one process builds to global operational scale-ups.</li>\n</ul>\n<ul>\n<li>Monitor operational health through case quality audits, SLA adherence, escalation accuracy, and user satisfaction metrics.</li>\n</ul>\n<ul>\n<li>Train and support vendor teams, ensuring consistent quality and alignment with OpenAI’s trust and safety standards.</li>\n</ul>\n<p><strong>You Might Thrive in This Role If You:</strong></p>\n<ul>\n<li>Have 5+ years of experience in one or more of: trust &amp; safety, fraud prevention, scam investigation, privacy/legal operations, compliance, or other risk/integrity domains ideally in a global or high-growth tech environment.</li>\n</ul>\n<ul>\n<li>Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact.</li>\n</ul>\n<ul>\n<li>Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks.</li>\n</ul>\n<ul>\n<li>Have a track record of scaling operations, building processes, and working cross-functionally to improve performance and safety outcomes.</li>\n</ul>\n<ul>\n<li>Possess exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence.</li>\n</ul>\n<ul>\n<li>Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguous, high-autonomy environments and balance speed with diligence.</li>\n</ul>\n<p>Are comfortable with frequent context switching, managing multiple projects, and prioritizing impact.</p>\n<p><strong><strong>What We Offer</strong></strong></p>\n<ul>\n<li>Competitive salary and equity package</li>\n</ul>\n<ul>\n<li>Comprehensive benefits, including medical, dental, and vision insurance</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave and medical and caregiver leave</li>\n</ul>\n<ul>\n<li>Flexible PTO and paid company holidays</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend</li>\n</ul>\n<ul>\n<li>Daily meals in our offices and meal delivery credits</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</li>\n</ul>\n<p><strong><strong>How to Apply</strong></strong></p>\n<p>If you are a motivated and experienced professional looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!</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_0b51f695-3f8","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/eb54b316-26fb-498f-a68c-9990ff9c402c","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189K – $280K","x-skills-required":["trust & safety","fraud prevention","scam investigation","privacy/legal operations","compliance","risk/integrity domains","OpenAI technology","workflow management","decision-making","operational impact","domain expertise","legal","policy","technical frameworks","analytical skills","pattern detection","risk assessment","policy/product changes","communication","clarity","empathy","precision","user-facing contexts","ambiguous environments","high-autonomy","speed","diligence","context switching","project management","prioritization"],"x-skills-preferred":["ChatGPT","API","enterprise offerings","developer tools","sensitive content","sexual","violent","disturbing","hybrid work model","relocation assistance","vendor management","quality control","alignment","OpenAI’s trust and safety standards"],"datePosted":"2026-03-06T18:34:54.778Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"trust & safety, fraud prevention, scam investigation, privacy/legal operations, compliance, risk/integrity domains, OpenAI technology, workflow management, decision-making, operational impact, domain expertise, legal, policy, technical frameworks, analytical skills, pattern detection, risk assessment, policy/product changes, communication, clarity, empathy, precision, user-facing contexts, ambiguous environments, high-autonomy, speed, diligence, context switching, project management, prioritization, ChatGPT, API, enterprise offerings, developer tools, sensitive content, sexual, violent, disturbing, hybrid work model, relocation assistance, vendor management, quality control, alignment, OpenAI’s trust and safety standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189000,"maxValue":280000,"unitText":"YEAR"}}}]}