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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5f768d1-df6"},"title":"Full-Stack Engineer, AI Data Platform","description":"<p>Shape the Future of AI</p>\n<p>At Labelbox, we&#39;re building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<ul>\n<li>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</li>\n</ul>\n<ul>\n<li>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</li>\n</ul>\n<ul>\n<li>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</li>\n</ul>\n<p>Why Join Us</p>\n<ul>\n<li>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You&#39;ll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</li>\n</ul>\n<ul>\n<li>Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</li>\n</ul>\n<ul>\n<li>Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</li>\n</ul>\n<ul>\n<li>Continuous Growth: Every role requires continuous learning and evolution. You&#39;ll be surrounded by curious minds solving complex problems at the frontier of AI.</li>\n</ul>\n<ul>\n<li>Clear Ownership: You&#39;ll know exactly what you&#39;re responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</li>\n</ul>\n<p>Role Overview</p>\n<p>We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.</p>\n<p>You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.</p>\n<p>Your Impact</p>\n<ul>\n<li>Own End-to-End Product Features</li>\n</ul>\n<p>Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.</p>\n<ul>\n<li>Enable Human-in-the-Loop AI Training</li>\n</ul>\n<p>Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.</p>\n<ul>\n<li>Support RLHF and Preference Data Workflows</li>\n</ul>\n<p>Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.</p>\n<ul>\n<li>Leverage LLMs in the Review Loop</li>\n</ul>\n<p>Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.</p>\n<ul>\n<li>Advance AI Evaluation</li>\n</ul>\n<p>Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).</p>\n<ul>\n<li>Create Intuitive, Reviewer-Focused Interfaces</li>\n</ul>\n<p>Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.</p>\n<ul>\n<li>Architect Scalable Data &amp; Service Layers</li>\n</ul>\n<p>Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.</p>\n<ul>\n<li>Solve Ambiguous, Real-World Problems</li>\n</ul>\n<p>Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.</p>\n<ul>\n<li>Ensure System Reliability</li>\n</ul>\n<p>Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.</p>\n<ul>\n<li>Elevate the Team</li>\n</ul>\n<p>Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.</p>\n<p>What You Bring</p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Data Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>2+ years of experience in a software or machine learning engineering role.</li>\n</ul>\n<ul>\n<li>A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.</li>\n</ul>\n<ul>\n<li>Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.</li>\n</ul>\n<ul>\n<li>Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).</li>\n</ul>\n<ul>\n<li>Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<ul>\n<li>High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).</li>\n</ul>\n<ul>\n<li>Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.</li>\n</ul>\n<ul>\n<li>Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).</li>\n</ul>\n<ul>\n<li>Previous experience with search engines (e.g., ElasticSearch).</li>\n</ul>\n<ul>\n<li>Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.</li>\n</ul>\n<p>Engineering at Labelbox</p>\n<p>At Labelbox Engineering, we&#39;re building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We&#39;ve cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.</p>\n<p>Our Technology Stack</p>\n<p>Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:</p>\n<ul>\n<li>Frontend: React.js with Redux, TypeScript</li>\n</ul>\n<ul>\n<li>Backend: Node.js, TypeScript, Python, some Java &amp; Kotlin</li>\n</ul>\n<ul>\n<li>APIs: GraphQL</li>\n</ul>\n<ul>\n<li>Cloud &amp; Infrastructure: Google Cloud Platform (GCP), Kubernetes</li>\n</ul>\n<ul>\n<li>Databases: MySQL, Spanner, PostgreSQL</li>\n</ul>\n<ul>\n<li>Queueing / Streaming: Kafka, PubSub</li>\n</ul>\n<p>Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.</p>\n<p>Annual base salary range $130,000-$200,000 USD</p>\n<p>Life at Labelbox</p>\n<ul>\n<li>Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland</li>\n</ul>\n<ul>\n<li>Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility</li>\n</ul>\n<ul>\n<li>Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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As a Backend Engineer, you will work on xAI&#39;s production systems that power the API. You will design, implement, and maintain reliable and horizontally scalable distributed systems. Our backend infrastructure is written in Rust, so familiarity with a compiled language such as C++, Rust, or Go is highly beneficial.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, implement, and maintain reliable and horizontally scalable distributed systems</li>\n<li>Work closely with the team to identify and solve pain points</li>\n<li>Collaborate with the team to ensure high-quality code and architecture</li>\n<li>Participate in code reviews and contribute to the improvement of the codebase</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Expert knowledge of either Rust or C++</li>\n<li>Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems</li>\n<li>Knowledge of service observability and reliability best practices</li>\n<li>Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Knowledge of Python</li>\n<li>Experience with 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operations, and program management , and requires someone who can move fluidly between strategic planning and hands-on execution.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Embed within the regional marketing team to deeply understand and represent market nuances, and be the primary representative for Marketing Operations initiatives</li>\n<li>Serve as the process owner for campaign execution workflows across email, landing pages, and paid media, supporting Growth, Lifecycle, and Global Campaigns marketing teams</li>\n<li>Consult on best practices in Marketo, with a focus on automation, scalability, and operational design; design complex nurture and trigger campaigns and standardize them for broader use</li>\n<li>Lead programs to address recurring operational challenges; define objectives, success metrics, and build repeatable processes that scale</li>\n<li>Serve as a technical bridge between regional marketing, product, and engineering teams to scope business requirements, coordinate discovery, and translate operational needs into product requirements for internal tooling</li>\n<li>Drive regional performance transparency by analyzing pipeline health and marketing database trends; proactively identify and unblock operational friction through collaboration with cross-functional teams</li>\n<li>Accelerate review cycles, pilots, and feedback collection during program execution; summarize required changes, identify launch-blocking issues, and escalate risks as needed</li>\n<li>Drive ongoing improvements in marketing operations through process innovation, automation, and the adoption of AI-powered tools to increase productivity and transform workflows</li>\n<li>Maintain scalable documentation and support coordination with offshore production teams and cross-functional partners across time zones</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>6+ years of experience in B2B marketing operations, campaign management, or a related program management role within a high-growth technology environment</li>\n<li>3+ years of experience working day-to-day with marketing automation platforms, CRM platforms, prospect data, and lead management</li>\n<li>3+ years of experience in end-to-end program management of cross-functional marketing, sales, and engineering initiatives</li>\n<li>Experience building AI agents, including examples of agents you have deployed and examples of ways you are using AI on a daily basis beyond chat</li>\n<li>3+ years of experience doing your own analysis using queries, dashboards, and AI and partnering with analysts and data scientists for more complex analytics needs</li>\n<li>3+ years of experience defining your own scope and goals and collaborating with a distributed, global team to deliver on them</li>\n<li>Excellent written and verbal communication skills, including the ability to convey complex operational concepts to diverse stakeholders across marketing, sales, and engineering</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience managing prospect or marketing database programs, including data enrichment, hygiene, and growth using first-party and third-party data sources</li>\n<li>3+ years of experience with Salesforce, including lead and contact management, campaign attribution, and marketing-to-sales data flows</li>\n<li>3+ years of experience with Marketo audience and campaign design and production</li>\n<li>Experience selecting and managing third-party data providers for B2B contact enrichment and prospecting</li>\n<li>Experience implementing AI tools to improve marketing operations workflows and productivity</li>\n<li>Experience working with global teams on a day-to-day basis</li>\n<li>Knowledge of data privacy and compliance frameworks as they relate to prospect data acquisition and marketing database management</li>\n<li>Experience in the financial services, payments, or B2B software industries</li>\n</ul>\n<p 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As a DBRE, you will have ownership of all technical aspects of our data services tier from ground up. You will partner with our core product engineers, performance engineers, site reliability engineers, and growing DBRE team, working on scaling, securing, and tuning our infrastructure be it self-managed MySQL, RDS Aurora MySQL/PostgreSQL or CloudSQL MySQL/PostgreSQL.  Our team is committed to two Okta Engineering mantras &quot;Always On&quot; and &quot;No Mysteries&quot;. You will ensure effective performance and 24X7 availability of the production database tier, design, implement and document operational processes, tasks, and configuration management. You will also coordinate efforts towards performance tuning, scaling and benchmarking the data services infrastructure.  You will contribute to configuration management using chef and infrastructure as code using terraform. 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As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. 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This is a visible, cross-functional role that requires strong technical depth, execution excellence, and stakeholder management skills.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Collaborate closely with cross-functional teams (R&amp;D, Product Management, Sales, and Pre-Sales) to ensure end-to-end product success</li>\n<li>Define, develop, and execute product engineering strategies aligned with business and customer objectives</li>\n<li>Act as the primary technical interface between internal engineering teams and external stakeholders</li>\n<li>Partner with Sales and Pre-Sales teams to provide technical inputs, customer insights, and execution support</li>\n<li>Build, manage, and track detailed project time plans and schedules across multiple initiatives</li>\n<li>Drive execution rigor, issue prioritization, and risk mitigation across concurrent projects</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Minimum 8 years of experience in VLSI product engineering</li>\n<li>Strong exposure to analog and digital SoC design flows and methodologies</li>\n<li>Prior hands-on experience in one or more of the following is preferred:<ul>\n<li>RTL Development</li>\n<li>RTL Verification</li>\n<li>RTL-to-GDS flow</li>\n</ul>\n</li>\n<li>Proven track record of working across multiple technology nodes and driving product innovation</li>\n<li>Strong customer-centric mindset with the ability to multitask, prioritize effectively, and manage multiple complex projects</li>\n<li>Demonstrated experience communicating and influencing across multiple levels of the organization, including senior leadership</li>\n<li>Good understanding of database management, data quality, and data cleanliness across the product portfolio</li>\n<li>Excellent written and verbal communication skills</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with VLSI design automation tools and methodologies</li>\n<li>Awareness of industry trends and emerging technologies in VLSI</li>\n<li>Certification in Product Management, Project Management, or a related discipline</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_a1fbe166-d22","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/bengaluru/project-engineering-management-staff-engineer/44408/93189758032","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"employee","x-salary-range":null,"x-skills-required":["RTL Development","RTL Verification","RTL-to-GDS flow","analog and digital SoC design flows and methodologies","database management","data quality","data cleanliness"],"x-skills-preferred":["VLSI design automation tools and methodologies","industry trends and emerging technologies in VLSI","Product Management","Project Management"],"datePosted":"2026-04-05T13:20:28.647Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"occupationalCategory":"Engineering","industry":"Technology","skills":"RTL Development, RTL Verification, RTL-to-GDS flow, analog and digital SoC design flows and methodologies, database management, data quality, data cleanliness, VLSI design automation tools and methodologies, industry trends and emerging technologies in VLSI, Product Management, Project Management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_21377f82-a0f"},"title":"Product Consultant - Engine by Starling","description":"<p>At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology.</p>\n<p>Engine is Starling&#39;s software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up.</p>\n<p>This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling&#39;s success.</p>\n<p>We are looking for future leaders to come and join our team, to build client relationships, and work with them to understand their needs and how we can solve them with Engine’s technology.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build strong relationships at all levels of the client organisation, through pre-sales to implementation</li>\n<li>Understand client vision, challenges and priorities, applying your knowledge of the Engine product</li>\n<li>Work closely with our Product and solution architecture team to iterate the US product roadmap, advocating for the needs and expectations of our US based clients</li>\n<li>Be responsible for the delivery of an area of the solution with a client, representing the client’s needs and priorities in internal decision making and planning</li>\n<li>Coordinate solution delivery with Engineering in line with programme timelines</li>\n<li>Support the programme transition from delivery into Run, sharing your knowledge of the client and setting up the Run team for success</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>You have worked in client facing roles, in a consulting role, or at a technology company</li>\n<li>You have experience running workshops or demoing technology with clients</li>\n<li>You have some experience in financial services and technology delivery</li>\n<li>You have experience delivering complex programmes</li>\n<li>You can rapidly understand client problems and present solutions in a structured and informative manner</li>\n<li>You take ownership and know when to seek external support for risks and issues you identify</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Medical, Dental, and Vision insurance plan options</li>\n<li>401(k) with company match of 100% of the first 4%</li>\n<li>Company-paid Long-Term Disability, and Life and AD&amp;D insurance</li>\n<li>Optional ancillary benefits such as Short-term Disability, Accident Insurance, Legal &amp; ID Protection, and more</li>\n<li>20 days annual vacation PTO and 11 Paid Holidays</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_21377f82-a0f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Engine by Starling","sameAs":"https://www.starlingbank.com/engine/","logo":"https://logos.yubhub.co/starlingbank.com.png"},"x-apply-url":"https://apply.workable.com/j/FD2ADE9C0F","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["financial services","technology delivery","client relationship building","solution architecture","programme management","project management","communication","problem-solving"],"x-skills-preferred":["Agile development","Scrum","Kanban","DevOps","Cloud computing","Database management","Data analysis"],"datePosted":"2026-03-20T16:13:42.793Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"financial services, technology delivery, client relationship building, solution architecture, programme management, project management, communication, problem-solving, Agile development, Scrum, Kanban, DevOps, Cloud computing, Database management, Data analysis"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a903e0fc-c93"},"title":"Legal Tech & Ops Associate (IP & Licensing Business)","description":"<p>About the Role\nWe are seeking a tech-savvy Legal Tech Associate – IP &amp; Licensing Ops to join Mistral AI&#39;s IP and licensing team.</p>\n<p>In this role, you will be responsible for managing inbound licensing opportunities, maintaining patent and license databases, and leveraging Mistral AI tools to optimize patent operations and licensing and data partnership processes.</p>\n<p>You will work closely with the legal, product, and engineering teams to ensure efficient tracking, reporting, and support high-impact data partnership and licensing opportunities.</p>\n<p>This role is ideal for someone who is passionate about legal tech, thrives in operational excellence, and wants to use AI to transform how IP and licensing operations are managed.</p>\n<p>Key Responsibilities\nLicensing &amp; Data Partnerships\n• Opportunity Tracking: Maintain and update databases of licensing and data partnership opportunities, tracking status, terms, and key stakeholders.\n• Data Analysis: Enrich licensing databases with metadata, deduplicate assets, evaluate content, identify sources, and ensure accuracy using AI, SQL, Python, or/and BI tools.\n• Partner Onboarding: Verify legitimacy of new data and licensing partners through business checks. Ensure completion of required agreements and compliance forms.</p>\n<p>Patent Operations Management\n• Filing Status Tracking: Monitor patent filings, deadlines, and portfolio metrics using dashboards and automated tools.\n• Process Optimization: Automate patent operations and improve data accuracy using Mistral AI&#39;s tools and external platforms.</p>\n<p>Cross-Functional Collaboration\n• Stakeholder Alignment: Coordinate with legal, product, and engineering teams to align IP and licensing processes, including documentation, deadlines, and communication.\n• Inventor Workflows: Assist inventors with workflows for invention intake, recognition, and documentation in Notion, Slack, and HR systems.</p>\n<p>Required Qualifications and Skills\n• Experience: 3+ years in IP operations, licensing, or a related field, with a focus on data management, process improvement, and operational support.\n• Technical Proficiency: Strong skills in database management, data analysis, and dashboard creation (e.g., Slack, Notion, Workflows, Excel/G-sheets, SQL, or BI tools).\n• Attention to Detail: Ability to manage complex datasets, identify discrepancies, and ensure accuracy in reporting.\n• Communication: Excellent written and verbal communication skills in English, with the ability to collaborate across teams.\n• Tool Savvy: Experience with IP management software, docketing systems, or similar tools. Familiarity with AI/ML concepts is a plus.\n• Adaptability: Comfortable working in a fast-paced, evolving environment with a proactive and solution-oriented mindset.\n• International Mindset: Experience in a global or multicultural setting is a plus.</p>\n<p>Nice-to-Have Skills\n• Familiarity with patent prosecution workflows and IP portfolio management.\n• Experience with AI-driven legal tech solutions.\n• Background in data science, competitive intelligence, or business analytics.</p>\n<p>Benefits\n• Competitive cash salary and equity\n• Daily lunch vouchers\n• Monthly contribution to a Gympass subscription\n• Monthly contribution to a mobility pass\n• Full health insurance for you and your family\n• Generous parental leave policy\n• Visa sponsorship</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_a903e0fc-c93","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai/careers"},"x-apply-url":"https://jobs.lever.co/mistral/bd69355b-9159-4bad-b52d-b71110e65090","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Database management","Data analysis","Dashboard creation","IP management software","Docketing systems","AI/ML concepts"],"x-skills-preferred":[],"datePosted":"2026-03-10T11:29:07.357Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"Database management, Data analysis, Dashboard creation, IP management software, Docketing systems, AI/ML concepts"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a3e7e545-094"},"title":"FBS Data Production Support Analyst (Data Pipelines)","description":"<p><strong>Role Overview</strong></p>\n<p>The purpose of this role is to ensure smooth operations of our production data assets. Activities will include monitoring production systems for incident occurrence, alerting applicable parties when incidents arise and incident triaging and management. They will also carry out activities to prevent production incidents.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Work with Data Pipelines, handling incidents and RCA</li>\n<li>Administers, analyzes, and prioritizes systems issues and negotiates a course of action for resolution.</li>\n<li>Supports workflow and solutions; trouble shoots user errors and supports reporting capabilities.</li>\n<li>Utilizes system monitoring utilities to monitor system availability.</li>\n<li>Extracts and compiles data system monitoring data to create availability scorecards and reports.</li>\n<li>System Monitoring: Continuously monitor IT systems to ensure optimal performance and availability, identifying and addressing potential issues before they escalate.</li>\n<li>Monitoring and Maintenance: Regularly monitor production data assets to ensure they are functioning correctly and efficiently.  Alerting applicable parties if an issue arises in production.</li>\n<li>Issue Resolution: Work with data team to identify, diagnose, and resolve technical issues related to production data assets. Work with relevant teams to implement effective solutions.</li>\n<li>Incident Management: Manage and prioritize incidents, ensuring that they are resolved promptly and efficiently and follow the incident management process. Document incidents and resolutions for future reference.</li>\n<li>Incident Management: Respond to and resolve technical issues reported by users or automated monitoring alerts. This includes diagnosing problems, identifying solutions, and implementing fixes.</li>\n<li>Problem Analysis: Analyze recurring issues to identify root causes and implement long-term solutions to prevent future occurrences.</li>\n<li>Root Cause Analysis: Conduct thorough investigations to determine the underlying causes of recurring incidents and implement preventive measures.</li>\n<li>Preventative Measures: Identify incidents that recur and put solutions in place to prevent recurrence.</li>\n<li>Data Integrity: Work with data team to ensure the accuracy and integrity of data produced and provided to the business, work with the data teams to implement and maintain quality control measures to prevent errors.</li>\n<li>Documentation: Maintain comprehensive documentation of processes, system configurations, and troubleshooting procedures.  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You will also be responsible for verifying that fixes have been properly implemented and providing feedback to improve the game&#39;s quality and user experience.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Test video games in Chinese and identify bugs</li>\n<li>Report bugs to our database in a clear and concise manner</li>\n<li>Verify that fixes have been properly implemented</li>\n<li>Provide feedback to improve the game&#39;s quality and user experience</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>High level of proficiency in Chinese (simplified or traditional characters)</li>\n<li>Deep understanding of local culture and language nuances</li>\n<li>Basic computer skills (Word, Excel)</li>\n<li>Ability to work in an office environment</li>\n<li>No resistance to working in an environment with foreign nationals</li>\n<li>Ability to communicate in English or Japanese</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Transportation costs up to 30,000 yen per month</li>\n<li>Participation in company events</li>\n<li>Flexible dress code and hairstyle</li>\n</ul>\n<p><strong>Note</strong></p>\n<p>By providing the information requested, you acknowledge that we will collect and process your personal data in accordance with our applicant privacy notice. Please see our applicant privacy notice for details.</p>\n<p>https://www.keywordsstudios.com/en/applicant-privacy-notice</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_fc5ecbd9-bab","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Keywords Studios","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/D62380CC81","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"part-time","x-salary-range":"1,175 yen per hour (with possibility of promotion)","x-skills-required":["Chinese (simplified or traditional characters)","video game testing","bug reporting","database management","communication skills"],"x-skills-preferred":["local culture and language nuances","basic computer skills (Word, Excel)"],"datePosted":"2026-03-09T10:57:06.118Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Suginami City, Tokyo, Japan"}},"employmentType":"PART_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Chinese (simplified or traditional characters), video game testing, bug reporting, database management, communication skills, local culture and language nuances, basic computer skills (Word, Excel)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":1175,"maxValue":1175,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_44538482-7d2"},"title":"HR Business Partner Intern","description":"<p>Join our team as an HR Business Partner Intern and contribute to creating reports, managing databases, and communicating with employees. 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And particularly key for this role due to it being among the first Support hires in APAC.</li>\n<li>Are proficient at working in a technical environment and are interested in Anthropic’s products</li>\n<li>Possess a deep sense of ownership, and are excited to help us build our team!</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.</strong> 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.</p>\n<p><strong>Your safety matters to us.</strong> 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. 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