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The successful candidate will be responsible for building and maintaining AI products that ingest unstructured contracts, extract key terms into structured data, and provide a front-end with monitoring and controls for day-to-day operations.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build the core application and workflow agents for Market Data Operations in Python; integrate with AWS and internal systems like the Market Data Warehouse.</li>\n<li>Ingest and understand contracts at scale, using LLMs to extract costs, fee schedules, entitlements, renewal terms, and payment details.</li>\n<li>Connect the dots between contracts, entitlements, invoices, and payments so Ops, Legal, and Finance can see a single &#39;source of truth&#39; and catch issues early.</li>\n<li>Design and tune LLM workflows (prompt engineering, tool/MCP integration, structured outputs) for contract Q&amp;A, summarization, and exception flagging.</li>\n<li>Own monitoring and controls for the AI system: logging, metrics, guardrails, and human-in-the-loop review to keep performance, reliability, and quality high.</li>\n<li>Work directly with stakeholders (Market Data Ops, analysts, Legal, Finance/AP) to understand their workflows and quickly iterate on features that actually get used.</li>\n</ul>\n<p>Required Skills &amp; Experience:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or a related field.</li>\n<li>5+ years of professional experience with Python, including building production services (Django, Flask, or FastAPI).</li>\n<li>Experience working with unstructured documents (contracts, PDFs, legal docs) and turning them into structured data.</li>\n<li>Prompt engineering and working with structured JSON outputs</li>\n<li>Comfort wiring models into real applications (tool/MCP-style integrations, APIs).</li>\n<li>Experience using cloud platform, ideally AWS.</li>\n<li>Able to define and track quantitative metrics for AI features (accuracy, latency, cost, etc.).</li>\n<li>Strong communication skills and comfortable working directly with non-technical users.</li>\n<li>Enjoys a start-up-like environment inside a large firm: small team, high ownership, fast iteration.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience building AI solutions in financial services, especially around market data, vendor management, or legal/contract workflows.</li>\n<li>Familiarity with entitlements/governance and large internal data platforms (e.g., a Market Data Warehouse).</li>\n</ul>\n<p>The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. 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This is a full-time position with a competitive salary and opportunities for personal and professional development.</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_69ec2004-222","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scandinavian Airlines","sameAs":"https://scandinavianairlines.teamtailor.com","logo":"https://logos.yubhub.co/scandinavianairlines.teamtailor.com.png"},"x-apply-url":"https://scandinavianairlines.teamtailor.com/jobs/4882023-social-media-manager","x-work-arrangement":"On-site","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Experience working with social media for companies","Strong communication skills","Analytical skills","Good understanding of various social media platforms"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:29.773Z","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Aviation","skills":"Experience working with social media for companies, Strong communication skills, Analytical skills, Good understanding of various social media platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_740da2af-174"},"title":"Security Engineer, Detection & Response","description":"<p>We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. 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You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.\\n\\nThe Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.\\n\\nIn this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting &amp; implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research &amp; technical skills.\\n\\nResponsibilities:\\n\\n<em> Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.\\n</em> Expand privacy-preserving tools to enable new analytic functionality to support research needs.\\n<em> Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don&#39;t yet exist.\\n</em> Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.\\n<em> Contribute to the strategic development of the economic research data foundations roadmap\\n</em> Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure\\n<em> Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions\\n</em> Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.\\n<em> Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission\\n\\nYou might be a good fit if you have:\\n\\n</em> Experience working with Research Scientists and Economists on ambiguous AI and economic projects\\n<em> Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.\\n</em> Experience with cloud infrastructure platforms such as AWS or GCP.\\n<em> Take pride in writing clean, well-documented code in Python that others can build upon\\n</em> Are comfortable making technical decisions with incomplete information while maintaining high engineering standards\\n<em> Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization\\n</em> Have a track record of using technical infrastructure to interface effectively with machine learning models\\n<em> Have experience deriving insights from imperfect data streams\\n</em> Have experience building systems and products on top of LLMs\\n<em> Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders\\n</em> A passion for Anthropic&#39;s mission of building helpful, honest, and harmless AI and understanding its economic implications.\\n<em> A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.\\n</em> Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.\\n\\nStrong candidates may have:\\n\\n<em> Background in econometrics, statistics, or quantitative social science research\\n</em> Experience building data infrastructure and data foundations for research\\n<em> Familiarity with large language models, AI systems, or ML research workflows\\n</em> Prior work on projects related to labor economics, technology adoption, or economic measurement\\n\\nSome Examples of Our Recent Work\\n\\n<em> Anthropic Economic Index Report: Economic Primitives\\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\\n<em> Estimating AI productivity gains from Claude conversations\\n</em> The Anthropic Economic Index\\n\\nDeadline to apply: None. Applications are reviewed on a rolling basis\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor 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: $300,000-$405,000 USD\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\nLocation-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.\\nVisa 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.\\n\\nWe 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. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour 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.\\n\\nHow we&#39;re different\\n\\nWe 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 small\\n</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_4fde2d89-11c","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/5071132008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["Python","Cloud infrastructure platforms (AWS or GCP)","Data infrastructure","Large datasets","Internal tools","Machine learning models","Econometrics","Statistics","Quantitative social science research","Large language models","AI systems","ML research workflows"],"x-skills-preferred":["Full-stack mindset","Strong communication skills","Ambiguity tolerance","Problem-solving skills","Collaboration skills"],"datePosted":"2026-04-18T15:52:18.267Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Cloud infrastructure platforms (AWS or GCP), Data infrastructure, Large datasets, Internal tools, Machine learning models, Econometrics, Statistics, Quantitative social science research, Large language models, AI systems, ML research workflows, Full-stack mindset, Strong communication skills, Ambiguity tolerance, Problem-solving skills, Collaboration skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3d21497f-133"},"title":"Quality Specialist, Intelligence Systems","description":"<p>We are seeking a Quality Specialist to join our Product Quality Team in Santa Ana. As a Quality Specialist, you will be responsible for monitoring, inspecting and proposing measures to correct or improve the incoming inspection process to meet quality standards. You will partner across the organisation and help prioritise process and product quality issues that impact the effectiveness of the incoming materials inspection process.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Managing the site Materials Review Board (MRB) process</li>\n<li>Inspecting to verify non-conforming parts at Reston Site and at Supplier Sites as assigned</li>\n<li>Partnering with Site Supplier Quality Engineering Organisation to support Supplier Quality Control</li>\n<li>Assisting in the root cause analysis</li>\n<li>Assisting in the dispositioning of non-conforming material and ensuring the tasks are completed in a timely manner</li>\n<li>Managing internal re-work to support dispositions</li>\n<li>Ensuring data collection and entry is accurate and complete for the MRB process</li>\n<li>Communicating the process performance and quality issues to key stakeholders to drive improvements</li>\n<li>Executing vendor return material authorisation (RMA) with partnership between Warehouse and Buyers to ensure material leaves the MRB area for suppliers</li>\n<li>Performing Verification of First Article Inspection (FAI) on incoming material and coordinating acceptance of FAI data submitted by suppliers</li>\n<li>Managing quality containment process for material, tooling, and inspection equipment that are involved in non-conformances impacting production capacity and capability</li>\n<li>Creating inspection plans for incoming material, in-process inspection steps, and end of line inspection, as per direction from product quality engineers. 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This role is focused on delivering high-quality experiences for employee communications, executive broadcasts, training, and internal events.</p>\n<p>You&#39;ll operate at the intersection of live production, broadcast engineering, and internal tooling, ensuring our teams can communicate effectively at scale. In addition to running critical productions, you&#39;ll define the workflows, and standards that power internal media across offices and remote environments globally.</p>\n<p>This is a highly cross-functional role requiring strong technical depth, operational excellence, and the ability to support a wide range of internal stakeholders.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead Internal Productions</li>\n<li>Own technical production for internal events including all-hands, executive communications, trainings, and internal broadcasts</li>\n<li>Serve as Technical Director or Lead Producer for high-visibility internal moments</li>\n<li>Ensure seamless delivery across in-room, livestream, and video conferencing audiences</li>\n<li>Build &amp; Scale Internal Production Systems</li>\n<li>Design and standardize workflows across internal event spaces, studios, and remote setups</li>\n<li>Define and maintain a production playbook to ensure consistency across internal events</li>\n<li>Improve and scale internal production infrastructure to support global teams</li>\n<li>Operate at a Deep Technical Level</li>\n<li>Lead multi-destination signal workflows (In room, live stream, recording, conferencing platforms)</li>\n<li>Integrate AV systems with internal tools (e.g., video conferencing platforms, collaboration tools)</li>\n<li>Troubleshoot live production issues quickly with minimal disruption to internal audiences</li>\n<li>Partner Across the Company</li>\n<li>Work directly with internal stakeholders (Execs, Comms, HR, Enablement, Events) to define production needs</li>\n<li>Translate business requirements into clear, executable production plans</li>\n<li>Coordinate internal teams and external vendors when needed</li>\n<li>Elevate Internal Experience Quality</li>\n<li>Continuously improve the quality, reliability, and scalability of internal productions</li>\n<li>Create training materials and documentation to enable self-service and team growth</li>\n<li>Mentor team members and elevate production capabilities across offices</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>Core Requirements</li>\n<li>8+ years in live production, broadcast, or media production roles</li>\n<li>Strong expertise in:</li>\n</ul>\n<p>+ Audio/video signal flow     + Video switching / technical direction     + Live streaming and remote production tools (e.g., VMix or similar)     + Experience supporting distributed or multi-location production environments</p>\n<ul>\n<li>Strong communication skills, especially when working with non-technical stakeholders</li>\n<li>Experience operating in fast-paced, high-growth environments</li>\n<li>BA/BS or equivalent practical experience</li>\n<li>Staff-Level Signals</li>\n<li>You&#39;ve supported executive-facing or high-visibility internal communications</li>\n<li>You design systems and workflows that scale across teams and locations</li>\n<li>You operate with high ownership and autonomy in ambiguous environments</li>\n<li>You proactively identify risks and ensure reliability for critical internal moments</li>\n<li>You influence stakeholders across functions without direct authority</li>\n<li>Nice to Have</li>\n<li>Experience supporting internal communications, corporate events, or enablement programs</li>\n<li>Familiarity with enterprise video conferencing and collaboration tools</li>\n<li>Experience with IP-based video (NDI, SRT, 2110) or cloud-based production workflows</li>\n<li>Background in motion graphics or internal content production</li>\n</ul>\n<p><strong>Why This Role Matters</strong></p>\n<p>Internal communication is critical to how Databricks operates and scales. In this role, you&#39;ll ensure that employees,from executives to new hires,can connect, learn, and align through high-quality live experiences.</p>\n<p>You won&#39;t just run internal events,you&#39;ll build the systems that make internal communication seamless, reliable, and scalable across the company.</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_beda8a58-d75","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/8472697002","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$177,700-$244,300 USD","x-skills-required":["Audio/video signal flow","Video switching / technical direction","Live streaming and remote production tools","Experience supporting distributed or multi-location production environments","Strong communication skills"],"x-skills-preferred":["Experience supporting internal communications, corporate events, or enablement programs","Familiarity with enterprise video conferencing and collaboration tools","Experience with IP-based video (NDI, SRT, 2110) or cloud-based production workflows","Background in motion graphics or internal content production"],"datePosted":"2026-04-18T15:47:40.663Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Audio/video signal flow, Video switching / technical direction, Live streaming and remote production tools, Experience supporting distributed or multi-location production environments, Strong communication skills, Experience supporting internal communications, corporate events, or enablement programs, Familiarity with enterprise video conferencing and collaboration tools, Experience with IP-based video (NDI, SRT, 2110) or cloud-based production workflows, Background in motion graphics or internal content production","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177700,"maxValue":244300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0ae6f8dc-4fd"},"title":"Staff Engineer, AI Security","description":"<p>Join the team as Twilio&#39;s next Staff Engineer, AI Security.</p>\n<p>As a Staff Engineer, AI Security on the AppSec team, you&#39;ll lead autonomous defense for the AI lifecycle. Build multi-agent frameworks and secure gateways while integrating real-time security gates and identity standards. By mentoring Security and R&amp;D to define the MLSecOps roadmap, you&#39;ll ensure a &#39;secure-by-default&#39; future for agentic workflows and resilient AI innovation.</p>\n<p>Responsibilities:</p>\n<p>Serve as the primary subject matter expert for all AI and machine learning security initiatives across security and R&amp;D.</p>\n<p>Design and manage AI gateways to provide a centralized control plane for authentication and authorization and rate limiting across all model and tool interactions.</p>\n<p>Build and maintain an autonomous security agentic framework that utilizes multi agent orchestration for end to end investigation and alert triage and remediation.</p>\n<p>Develop agentic identity models using OAuth 2.1 to propagate identity across trust boundaries and prevent the confused deputy problem.</p>\n<p>Help govern the AI augmented software development lifecycle by integrating real time security gates into the developer environment and CI/CD pipeline.</p>\n<p>Manage Agentic Security Solutions that secure AI lifecycle and manage AI workloads at runtime.</p>\n<p>Author company wide AI security standards and implement these security checks across Twilio&#39;s stack.</p>\n<p>Implement human in the loop checkpoints and transactional safety protocols for high impact or destructive agentic actions.</p>\n<p>Partner with engineering leadership to set the long term roadmap for identity centric security and automated posture management.</p>\n<p>Act as a knowledge multiplier by mentoring security engineers and developing secure by default paved road templates for R&amp;D teams</p>\n<p>Qualifications:</p>\n<p>8+ years of experience in security engineering with at least 3 years focused on AI or machine learning security operations (MLSecOps).</p>\n<p>Expertise in orchestrating multi-agent systems with AWS Strands, LangGraph, and CrewAI, specializing in runtime isolation, PII redaction, and defending against indirect prompt injection in agentic environments.</p>\n<p>Hands-on experience with AI-specific frameworks (e.g., MITRE ATLAS, MAESTRO, OWASP Top 10 for LLMs/Agents/MCP) to threat model and defend against a wide spectrum of risks, including direct/indirect prompt injection, training data poisoning, tool poisoning, and data exfiltration within agentic workflows.</p>\n<p>Proficiency in securing end-to-end AI pipelines, from data ingestion and training to model deployment and monitoring.</p>\n<p>Strong communication skills to translate complex AI risks into actionable business logic for stakeholders.</p>\n<p>Desired:</p>\n<p>Hands-on experience in modern application security tooling including SAST and SCA and DAST with experience adapting these tools to catch AI specific vulnerabilities like indirect prompt injection.</p>\n<p>Expertise in identity standards including OAuth 2.1 and PKCE.</p>\n<p>Experience with AI Red Teaming and conducting adversarial simulations against Large Language Models (LLMs) and agentic systems.</p>\n<p>Proficiency in at least one general programming language (Python, Go, etc) with experience in container security and workload isolation.</p>\n<p>Proven ability to operate with autonomy and drive high impact outcomes in ambiguous environments by identifying and executing on critical projects without predefined roadmaps or direct supervision.</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_0ae6f8dc-4fd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7821462","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["security engineering","AI and machine learning security","multi-agent systems","AWS Strands","LangGraph","CrewAI","runtime isolation","PII redaction","indirect prompt injection","AI-specific frameworks","MITRE ATLAS","MAESTRO","OWASP Top 10 for LLMs/Agents/MCP","end-to-end AI pipelines","data ingestion","training","model deployment","monitoring","strong communication skills"],"x-skills-preferred":["modern application security tooling","SAST and SCA and DAST","identity standards","OAuth 2.1","PKCE","AI Red Teaming","adversarial simulations","Large Language Models","container security","workload isolation"],"datePosted":"2026-04-18T15:44:10.579Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - 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We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code.</p>\n<p>As a Senior Product Manager at Cloudflare, you will be responsible for building products that improve the way that the Internet works. Product Managers at Cloudflare shape high-level product goals but also get our hands dirty. On an average day, you might pitch a concept to senior leadership, collaborate with marketing, work with designers to conduct user research, prototype a new feature, iterate on a spec, analyze usage data, and pair with an engineer on implementation.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Own your space. You will own the priorities and scope for a high performing engineering team focusing on organizations and partners.</li>\n<li>Connect the pieces. Product managers are a nerve center at Cloudflare, responsible for connecting engineering, program management, marketing, revenue, and partners to make sure that our ships go out on time and with the maximum impact.</li>\n<li>Excel across teams. Enterprise capabilities cut across all of our product verticals, so you should be comfortable working with product managers across the company to prioritize systemic improvements that our enterprise customers need.</li>\n<li>Be customer obsessed. You will be responsible for directly engaging with customers and understanding how they use our products. You’ll bring these insights back to the team to build a great roadmap.</li>\n<li>Be data driven. You should be comfortable working with data, and analyzing data to quantify the impact of problems and opportunities in your space.</li>\n</ul>\n<p>Key qualifications</p>\n<ul>\n<li>6+ years of experience as a product manager, technical program manager, or equivalent delivering solutions in the cloud at scale for a technical audience</li>\n<li>Customer focus. At Cloudflare, we serve the needs of customers large and small, and our product managers need to be comfortable understanding how to design for enterprises without compromising the experience for individuals and small businesses.</li>\n<li>User experience sense. You’re comfortable working with product designers to translate the requirements into an elegant user experience.</li>\n<li>Strong written and verbal communication skills for both an internal and external audience as appropriate.</li>\n</ul>\n<p>Bonus points</p>\n<ul>\n<li>You’ve enthusiastically adopted the latest generation of agentic coding tools, and you can use them effectively to navigate a codebase, or prototype the improvements you envision for your feature area.</li>\n<li>Data-fluency - Can you work directly with data yourself to build confidence in your views and can you use that same data to persuade others?</li>\n<li>Engineering fluency - while it’s not required, we tend to find success with candidates who have a technical background, formal or otherwise. You don’t need a CS degree but building credibility with our engineering teams is critical and so some history of technical acumen would be super helpful</li>\n<li>At Cloudflare it’s pretty helpful to understand how the Internet really works at layers 2 through 7. If you don’t have this, be prepared to speak with mastery about another realm of similar complexity.</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.</p>\n<p>Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person&#39;s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. 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You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.\\n\\nThe Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.\\n\\nIn this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting &amp; implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research &amp; technical skills.\\n\\nResponsibilities:\\n\\n<em> Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.\\n</em> Expand privacy-preserving tools to enable new analytic functionality to support research needs.\\n<em> Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don&#39;t yet exist.\\n</em> Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.\\n<em> Contribute to the strategic development of the economic research data foundations roadmap\\n</em> Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure\\n<em> Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions\\n</em> Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.\\n<em> Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission\\n\\nYou might be a good fit if you have:\\n\\n</em> Experience working with Research Scientists and Economists on ambiguous AI and economic projects\\n<em> Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.\\n</em> Experience with cloud infrastructure platforms such as AWS or GCP.\\n<em> Take pride in writing clean, well-documented code in Python that others can build upon\\n</em> Are comfortable making technical decisions with incomplete information while maintaining high engineering standards\\n<em> Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization\\n</em> Have a track record of using technical infrastructure to interface effectively with machine learning models\\n<em> Have experience deriving insights from imperfect data streams\\n</em> Have experience building systems and products on top of LLMs\\n<em> Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders\\n</em> A passion for Anthropic&#39;s mission of building helpful, honest, and harmless AI and understanding its economic implications.\\n<em> A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.\\n</em> Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.\\n\\nStrong candidates may have:\\n\\n<em> Background in econometrics, statistics, or quantitative social science research\\n</em> Experience building data infrastructure and data foundations for research\\n<em> Familiarity with large language models, AI systems, or ML research workflows\\n</em> Prior work on projects related to labor economics, technology adoption, or economic measurement\\n\\nSome Examples of Our Recent Work\\n\\n<em> Anthropic Economic Index Report: Economic Primitives\\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\\n<em> Estimating AI productivity gains from Claude conversations\\n</em> The Anthropic Economic Index\\n\\nDeadline to apply: None. Applications are reviewed on a rolling basis\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor 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: $300,000-$405,000 USD\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\nLocation-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.\\nVisa 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.\\n\\nWe 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. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour 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.\\n\\nHow we&#39;re different\\n\\nWe 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. 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As an Application Engineer, you will be responsible for coordinating and executing technical activities throughout the sales opportunity lifecycle, including technical discovery, product demonstrations, and evaluations. You will engage with customers to understand their design needs and workflows, analyze requirements, and articulate the value proposition of Synopsys and Ansys products. You will create and deploy differentiating simulation solutions within customer design workflows using the Ansys platform and products.</p>\n<p>You will develop subject matter expertise and industry knowledge through hands-on projects and collaboration with product development teams. You will translate customer requirements into new product features, test new releases, and develop application best practices. You will support field and digital marketing initiatives, author conference presentations, and contribute to consulting services and training classes.</p>\n<p>As an Application Engineer, you will empower customers to solve complex engineering challenges with advanced simulation solutions. You will drive the adoption of Synopsys and Ansys products in customer workflows, expanding business opportunities. You will enhance the product portfolio by translating real-world needs into innovative features. You will establish Synopsys as a trusted partner through expert technical support and consulting.</p>\n<p>You will contribute to the growth and reputation of the Customer Excellence team in Japan and beyond. You will advance industry standards by sharing knowledge and best practices in conferences and training sessions.</p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.</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_e35eebc9-f35","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/tokyo/application-engineer-high-frequency/44408/92709518816","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["BE, MS, or PhD in Electrical Engineering or related field","Fundamental knowledge of high frequency, microwave, and antenna concepts (S-parameters, wave propagation, radiation patterns, scattering analysis, coupling/interference)","Experience designing and simulating antennas, RF components, matching networks, and related applications","Hands-on experience with ANSYS HFSS or similar simulation software in real-world, industry-level applications","Strong communication skills in Japanese and English, both written and verbal"],"x-skills-preferred":["Experience with coupled RF-thermal simulations","Familiarity with CAE, CAD, EDA tools, and PCB/connector design processes"],"datePosted":"2026-04-05T13:22:32.493Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"BE, MS, or PhD in Electrical Engineering or related field, Fundamental knowledge of high frequency, microwave, and antenna concepts (S-parameters, wave propagation, radiation patterns, scattering analysis, coupling/interference), Experience designing and simulating antennas, RF components, matching networks, and related applications, Hands-on experience with ANSYS HFSS or similar simulation software in real-world, industry-level applications, Strong communication skills in Japanese and English, both written and verbal, Experience with coupled RF-thermal simulations, Familiarity with CAE, CAD, EDA tools, and PCB/connector design processes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d47f36d6-f1a"},"title":"Compliance Analyst, Luxembourg","description":"<p>We are seeking a detail-oriented and experienced Compliance Analyst to join our team at Bridge Building S.A. in Luxembourg. 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support MLRO decisioning and documentation.\nConduct or support independent investigations triggered by red flags, audit/regulatory findings, or intelligence from partners; ensure a consistent audit trail in case management tools.</p>\n<p>Law Enforcement / Police Requests:\nOversee and coordinate responses to police, law enforcement, and competent authority requests in collaboration with the MLRO and Legal.\nProvide compliance oversight to ensure responses are timely, complete, proportionate, and aligned with regulatory obligations.\nMaintain governance-level logs, metrics, and reporting relating to external authority requests.\nAssess whether information requests or intelligence received may indicate systemic control weaknesses or trigger enhanced monitoring requirements.</p>\n<p>Policy, Procedures and Program Maintenance:\nDraft, maintain, and periodically review AML/CTF policies, procedures, and standards for the EMI and CASP perimeter (risk rating, CDD/EDD, transaction monitoring governance, sanctions/PEP, record retention etc.).\nContribute to the AML/CTF Business Risk Assessment and annual compliance plan; 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Advocate","description":"<p>About the Job</p>\n<p>Mistral AI is seeking a Senior/Staff AI Developer Advocate to join our team and actively contribute to the community, with a focus on driving content around enterprise AI use cases.</p>\n<p>You will lead developer relations initiatives, engage in development and integration of open-source AI ecosystem projects, and drive enterprise-focused developer education and adoption.</p>\n<p>Responsibilities:</p>\n<ul>\n<li><p>Develop enterprise-focused, high-quality demos and sample code that enable developers to effectively understand and utilize Mistral AI’s products and integrations.</p>\n</li>\n<li><p>Create and deliver high-impact technical content (webinars, demos, talks, workshops) to drive adoption and education among developers and enterprises.</p>\n</li>\n<li><p>Actively engage with the developer community by resolving issues, providing answers, and offering guidance to users, fostering a supportive and collaborative environment.</p>\n</li>\n<li><p>Design and execute enterprise DevRel strategies, including scalable programs and initiatives tailored to enterprise needs.</p>\n</li>\n<li><p>Organize and participate in community events centered around Mistral AI solutions, with a focus on enterprise engagement.</p>\n</li>\n<li><p>Remain informed about industry trends, best practices, and emerging technologies in AI, continuously updating your knowledge and skills.</p>\n</li>\n<li><p>Establish thought leadership in enterprise AI transformation through strategic initiatives and developer education.</p>\n</li>\n</ul>\n<p>About you</p>\n<ul>\n<li><p>6+ years of experience in DevRel, Developer Experience, Technical Evangelism, or Developer Advocacy.</p>\n</li>\n<li><p>Enterprise experience: Background in enterprise environments or building for enterprise clients.</p>\n</li>\n<li><p>Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.</p>\n</li>\n<li><p>Passion for AI, with a constant drive to stay updated and ahead of the curve.</p>\n</li>\n<li><p>Top track record of technical writing and speaking, with strong communication skills to explain complex technical concepts in simple terms.</p>\n</li>\n<li><p>Demonstrated ability to manage projects and lead them to successful completion.</p>\n</li>\n</ul>\n<p>What we offer</p>\n<ul>\n<li><p>Competitive salary and equity.</p>\n</li>\n<li><p>Healthcare: Medical/Dental/Vision covered for you and your family.</p>\n</li>\n<li><p>Pension: 401K (6% matching).</p>\n</li>\n<li><p>PTO: 18 days.</p>\n</li>\n<li><p>Transportation: Reimburse office parking charges, or $120/month for public transport.</p>\n</li>\n<li><p>Sport: $120/month reimbursement for gym membership.</p>\n</li>\n<li><p>Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger).</p>\n</li>\n<li><p>Visa sponsorship.</p>\n</li>\n<li><p>Coaching: we offer BetterUp coaching on a voluntary basis</p>\n</li>\n</ul>\n<p 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It will be intense (our Founder is an intense person) but you&#39;ll learn more than you would in any other role.\\n\\n## WHAT YOU&#39;LL DO\\n\\nWithin days:\\n\\n- Work directly with our CEO and Founder on the below:\\n\\n  - Assist with automating registration and filing operations of our clients at Sphere\\n\\n  - Setup revops / sales ops processes to enhance BD operations\\n\\n  - Conduct research into international jurisdictions on cross border compliance rules\\n\\nWithin months:\\n\\n- Own key operational processes across the business\\n\\n- Assist CEO on KPI tracking and reporting\\n\\n- Identify areas of automation across the business\\n\\n## REQUIREMENTS\\n\\n- High attention to detail\\n\\n- Someone looking to grind / work hard\\n\\n- Strong communication skills\\n\\n- Multi tasking capabilities\\n\\n## WHO YOU ARE\\n\\nYou&#39;ll thrive here if:\\n\\n- You&#39;re a Dog. You&#39;ve been underestimated, gone through struggle, and never stopped running. You have a chip on your shoulder and enormous drive. You look at Stripe, Deel, and Flexport all punting on compliance and think: good, that means the opportunity is ours.\\n\\n- Early stage is in your bones. You&#39;ve built things where there&#39;s no playbook and nobody handing you the answer. You define the problem instead of waiting for instructions.\\n\\n- You own it end to end. Give you a goal and you figure out your own path. Small team, global surface area — everyone owns a domain that would be a full team at a larger company. No one tells you how.\\n\\n- You believe speed and accuracy are both possible. We&#39;re building a complex product that requires robustness and 100% uptime, and we have to build at our customers&#39; pace. Move fast. Don&#39;t break things. Both.\\n\\n- Being in the room is a feature, not a cost. Five days in SF isn&#39;t a policy, it&#39;s how the work gets done. 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With more than 200 grand prix starts to our name, we pride ourselves on being an ambitious challenger within Formula 1 - and we want you to be part of that journey.</p>\n<p>The first American Formula 1 team to compete in the sport since 1986, TGR Haas F1 Team made an immediate impression with a memorable points-scoring debut at the 2016 Australian Grand Prix. Ten years later, the team is still building momentum, guided by clear objectives and technical partnerships, and fresh from securing its second biggest points haul in a Formula 1 season.</p>\n<p>Yes, you’ll learn from us, but we expect to learn from you too!</p>\n<p>General Summary:</p>\n<p>This position reports to the Stores &amp; Inventory Manager or their designee; is located in Banbury, UK. The role coordinates the activities of the factory &amp; Race team to ensure an effective parts supply to all the events within the car program. 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Informs the PMO team of any shortages and keeps track of delivery status.</li>\n<li>Working with the trackside team to ensure Turnaround Sheets and Event Planner documents are pre-populated accordingly in line with strip and build plans stipulated by the RTS Manager and Chief Mechanics.</li>\n<li>Work with the parts and stores coordinator on any given tasks.</li>\n<li>Support loading and unloading of freight requirements alongside the logistic team.</li>\n<li>Follow all safety regulations in all venues.</li>\n<li>Assumes any responsibilities and duties delegated by the Stores &amp; Inventory Manager or their designee.</li>\n</ul>\n<p>Education and Work Experience:</p>\n<ul>\n<li>GSCE, High School education or equivalent required.</li>\n<li>Typically requires at least 5 year of parts supply chain operational experience within the motorsport industry.</li>\n<li>Must have a valid driver’s license and meet liability/casualty insurance requirements.</li>\n<li>Leadership experience preferred.</li>\n</ul>\n<p>Specialized Knowledge and Skills:</p>\n<ul>\n<li>Strong communication skills, written and verbal.</li>\n<li>Good computer skills, ideally with experience of Microsoft Dynamics 365, Excel, Power Bi, Outlook and Teams.</li>\n<li>Good technical knowledge of race car part and assemblies; including vendors, part functions, Serialization and part numbers.</li>\n<li>Experience using part marking machines is desirable.</li>\n<li>Strong organizational and time management under limited time situations.</li>\n<li>Integration within a growing team with a can-do attitude, solid team ethic and people skills.</li>\n<li>Quick decision-making skills whilst working through problems in a scientific and analytical way.</li>\n<li>A sympathetic approach to your work colleagues and an ability to integrate within a group environment.</li>\n<li>A can-do positive approach and a willingness to help others is essential.</li>\n</ul>\n<p>Equipment and Applications:</p>\n<ul>\n<li>Solid computer knowledge, preferred experience in Microsoft Office, D365 products.</li>\n<li>Forklift license would be preferable.</li>\n<li>Ability to follow complex regulations related to shipment of materials and facility maintenance requirements.</li>\n</ul>\n<p>Work Environment Physical Demands:</p>\n<p>An ability to work and prioritize within a high pressure, time sensitive environment while retaining a methodical approach is essential. The role may require occasional domestic &amp; international travel and a willingness to work long and flexible hours including weekends.</p>\n<p>This position may require lifting to 50 pounds, repeated bending, squatting and manual dexterity. Fast-paced work environment requiring heavy mental demands. Work environment includes machinery, race cars, 7-post and other rigs, grinding debris, and hazardous fluids. All employees must ensure compliance with the Company Health and Safety Policy, and all relevant other statutory Health and Safety legislation.</p>\n<p>Core Company Values:</p>\n<p>Integrity: Uphold the highest standards of integrity in all actions.     Innovation: Embrace and drive change through innovative solutions.     Excellence: Strive for excellence in every aspect of work.     Collaboration: Foster a collaborative environment to achieve collective goals.     Customer Focus: Prioritize the needs and satisfaction of customers and partners.     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The role may require occasional domestic, and international travel and a willingness to work long and flexible hours including weekends.</p>\n<p>This position may require lifting to 50 pounds, repeated bending, squatting and manual dexterity. Fast-paced work environment requiring heavy mental demands. Work environment includes machinery, race cars, 7-post and other rigs, grinding debris, and hazardous fluids. All employees must ensure compliance with the Company Health and Safety Policy, and all relevant other statutory Health and Safety legislation.</p>\n<p>Core Company Values:</p>\n<p>Integrity: Uphold the highest standards of integrity in all actions.</p>\n<p>Innovation: Embrace and drive change through innovative solutions.</p>\n<p>Excellence: Strive for excellence in every aspect of work.</p>\n<p>Collaboration: Foster a collaborative environment to achieve collective goals.</p>\n<p>Customer Focus: Prioritize the needs and satisfaction of customers and partners.</p>\n<p>Sustainability: Commit to sustainable practices and social responsibility</p>\n<p>_This job description may not detail some less major duties, nor cover duties of a similar nature, which may from time to time be reasonably required by the relevant manager._</p>\n<p>At TGR Haas F1 Team, we consider our employees our greatest asset. 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Our commitment to these ethics is steadfast and this promise travels with us wherever we are in the world.</p>\n<p>We look after our team with multiple rewards packages, competitive bonuses and year-round health and wellbeing initiatives.</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_f2bd2538-2cd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"TGR Haas F1 Team","sameAs":"https://haasf1team.bamboohr.com","logo":"https://logos.yubhub.co/haasf1team.bamboohr.com.png"},"x-apply-url":"https://haasf1team.bamboohr.com/careers/802","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["Finite Element Analysis","CAD","Python","Matlab","Excel","HyperWorks","Hypermesh","Optistruct","Laminate tools","Catia V6","Strong communication skills","English Language"],"x-skills-preferred":["CFD workflows","Software development practices","Process development","Problem solving","Workflow automation tools"],"datePosted":"2026-03-08T18:00:36.936Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Maranello, Modena"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Motorsport","skills":"Finite Element Analysis, CAD, Python, Matlab, Excel, HyperWorks, Hypermesh, Optistruct, Laminate tools, Catia V6, Strong communication skills, English Language, CFD workflows, Software development practices, Process development, Problem solving, Workflow automation tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7fccc166-6df"},"title":"Sales Manager, Enterprise Digital Native Business","description":"<p>As a Sales Manager at Anthropic, you&#39;ll lead a team of Account Executives driving the adoption of safe, frontier AI among digital-native businesses. 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You will need to manage a large volume of email correspondence.</li>\n</ul>\n<ul>\n<li>Are reliable and responsive. You will be fielding time-sensitive and urgent questions and requests from employees and hiring managers.</li>\n</ul>\n<ul>\n<li>Are organized and detail-oriented. You will manage time-sensitive and critical processes around immigration cases and more.</li>\n</ul>\n<ul>\n<li>Are service-oriented. You consider internal teams as “clients” for whom you want to provide an incredible service experience.</li>\n</ul>\n<ul>\n<li>Have 3+ years of immigration experience.</li>\n</ul>\n<p><strong>Strong candidates may also:</strong></p>\n<ul>\n<li>Have experience in a fast-paced and dynamic startup environment</li>\n</ul>\n<ul>\n<li>Possess a strong passion for immigration work</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:</strong> 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. 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. 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