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This senior leader will oversee the implementation and management of CRM systems, analyse customer data to identify trends, and lead cross-functional efforts to personalise marketing, sales, and customer service interactions, constantly optimising results.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Develop and execute a customer relationship strategy to maximise retention, loyalty, and CLV</li>\n<li>Oversee the implementation and management of CRM systems</li>\n<li>Analyse customer data to identify trends and inform marketing decisions</li>\n<li>Lead automated, multi-channel journeys with targeted segmentation</li>\n<li>Hire and develop a data-driven CRM team focused on a customer-centric culture</li>\n<li>Align CRM projects with Sales, Product, and Marketing to meet business goals</li>\n<li>Report on key metrics (CLV, Retention, Churn, ROI) to senior stakeholders</li>\n<li>Manage CRM spend, forecasting, and tech investment ROI</li>\n</ul>\n<p><strong>Experience that will put you ahead of the curve</strong></p>\n<ul>\n<li>Prior experience within CRM, customer experience management, or digital marketing, or in a leadership capacity</li>\n<li>Experience of CRM platforms (Salesforce an advantage) and marketing automation tools</li>\n<li>Analyse data, interpret customer behaviour, and turn insights into relevant marketing strategies</li>\n<li>Demonstrated experience building and managing teams, to motivate and drive performance</li>\n<li>Present complex data to senior stakeholders</li>\n</ul>\n<p><strong>What&#39;s in it for you</strong></p>\n<p>The expected range for this role is £60,000 - £70,000. This is a hybrid role from our Cardiff Office, working three days from the office, two from home. Plus more great perks, which include;</p>\n<ul>\n<li>Uncapped leave, because we trust you to manage your workload and time</li>\n<li>When we hit our targets, enjoy a share of our profits with a bonus</li>\n<li>Refer a friend and get rewarded when they join Future</li>\n<li>Well-being support with access to our Colleague Assistant Programmes</li>\n<li>Opportunity to purchase shares in Future, with our Share Incentive Plan</li>\n</ul>\n<p><strong>Who are we...</strong></p>\n<p>We&#39;re Go.Compare, part of Future PLC. You&#39;ve probably heard of us - we&#39;re a price comparison site passionate about finding our customers savvy insurance deals. We&#39;re a part of Future PLC and as one of the 250+ brands within Future publishing, we embody all the Future values.</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_89c067dc-897","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Go.Compare, part of Future PLC","sameAs":"https://www.futureplc.com/","logo":"https://logos.yubhub.co/futureplc.com.png"},"x-apply-url":"https://apply.workable.com/j/3BFD59F5FA","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£60,000 - £70,000","x-skills-required":["CRM","customer experience management","digital marketing","Salesforce","marketing automation tools","data analysis","team management","presenting complex data"],"x-skills-preferred":[],"datePosted":"2026-04-24T14:12:54.515Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cardiff"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Finance","skills":"CRM, customer experience management, digital marketing, Salesforce, marketing automation tools, data analysis, team management, presenting complex data","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":60000,"maxValue":70000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a2e8a1a8-260"},"title":"Senior Manager, Infrastructure Capex Accounting","description":"<p><strong>About the role</strong></p>\n<p>Anthropic is seeking a Senior Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic&#39;s owned infrastructure assets , the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure.</p>\n<p>As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic&#39;s research and commercial success.</p>\n<p>This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic&#39;s growing fixed asset base is accounted for and understood across the business.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead end-to-end accounting for Anthropic&#39;s AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis</li>\n</ul>\n<ul>\n<li>Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations)</li>\n</ul>\n<ul>\n<li>Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made</li>\n</ul>\n<ul>\n<li>Serve as a trusted finance partner to non-finance stakeholders , explaining the financial statement impact of their decisions in clear, simple terms they can act on</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates</li>\n</ul>\n<ul>\n<li>Design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio</li>\n</ul>\n<ul>\n<li>Collaborate with and mentor accounting professionals across the Infrastructure Accounting team</li>\n</ul>\n<ul>\n<li>Serve as a key point of contact with external auditors on fixed asset and capex accounting matters</li>\n</ul>\n<ul>\n<li>Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies</li>\n</ul>\n<ul>\n<li>Hold a Bachelor&#39;s degree in Accounting or Finance; 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However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</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.</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_a2e8a1a8-260","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/5196230008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$230,000 USD","x-skills-required":["accounting","ASC 360","infrastructure accounting","fixed asset portfolio management","financial reporting","process improvement","automation","AI tooling","SQL","data analysis"],"x-skills-preferred":["hyperscaler experience","data center operations","cloud computing","AI/ML infrastructure","complex data center buildouts","hybrid cloud/on-premise environments","Big 4 accounting or advisory services","immigration law"],"datePosted":"2026-04-24T13:12:10.420Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"accounting, ASC 360, infrastructure accounting, fixed asset portfolio management, financial reporting, process improvement, automation, AI tooling, SQL, data analysis, hyperscaler experience, data center operations, cloud computing, AI/ML infrastructure, complex data center buildouts, hybrid cloud/on-premise environments, Big 4 accounting or advisory services, immigration law","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8d0e191e-36d"},"title":"Senior Manager, Infrastructure Lease Accounting","description":"<p>We are seeking a Senior Manager, Infrastructure Lease Accounting to join our Infrastructure Accounting team. 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In this role, you will lead accounting for a significant portion of Anthropic&#39;s owned infrastructure , network equipment, data center buildouts, and related capital assets underpinning our recently announced $50bn investment in American computing infrastructure.</p>\n<p>As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic&#39;s research and commercial success.</p>\n<p>This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic&#39;s growing fixed asset base is accounted for and understood across the business.</p>\n<p>You will own end-to-end accounting and set the strategy for scaling this function, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. 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In this role, you will lead accounting for a significant portion of Anthropic&#39;s owned infrastructure , network equipment, data center buildouts, and related capital assets underpinning our recently announced $50bn investment in American computing infrastructure.</p>\n<p>As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic&#39;s research and commercial success.</p>\n<p>This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic&#39;s growing fixed asset base is accounted for and understood across the business.</p>\n<p>You will own end-to-end accounting and set the strategy for scaling this function, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. 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In this pivotal role, you will spearhead the design, development, and deployment of GenAI solutions. This is a role for a hands-on builder and strategic thinker who is passionate about solving real-world industrial challenges.</p>\n<p>Your primary responsibilities will include:</p>\n<ul>\n<li>Serving as the technical lead for designing and implementing GenAI solutions.</li>\n<li>Leading the entire lifecycle of AI projects, from translating high-level business needs into well-defined technical problems to deploying and maintaining enterprise-grade agentic solutions in our cloud environment.</li>\n<li>Partnering with IT, PRE, and business teams to ensure the seamless deployment, integration, and operational success of AI/ML solutions within the broader software architecture.</li>\n<li>Applying advanced analytical solutions (including machine learning and statistical models), and conducting analysis that consists of problem formulation, data extraction and pre-processing, modeling, validation, ongoing work, and presentations.</li>\n<li>Working with high-volume, high-dimensional structured and unstructured data from a variety of sources and implementing algorithms to identify anomalies, relationships, and trends.</li>\n<li>Developing complete system designs that include data, pre-processing, modeling, optimization, post-processing, and interfaces for user interaction.</li>\n<li>Interpreting and presenting complex modeling results, system designs, and strategic recommendations to technical peers, cross-functional teams, and senior leadership in a clear and compelling manner.</li>\n</ul>\n<p>To succeed in this role, you will need:</p>\n<ul>\n<li>A Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics, or Engineering degree or a related field of study.</li>\n<li>5+ years of professional experience in software engineering, machine learning, or a data-focused role.</li>\n<li>3+ years of hands-on experience developing and deploying machine learning solutions using languages like Python, PySpark, or Scala.</li>\n<li>1+ years of direct, hands-on experience building solutions with Large Language Models (LLMs), agentic frameworks (e.g., LangChain), or related Generative AI technologies.</li>\n<li>Proficiency with SQL and experience engineering data from diverse, high-volume sources.</li>\n</ul>\n<p>Even better, you may have:</p>\n<ul>\n<li>An MS or PhD in a related field.</li>\n<li>Demonstrated success applying ML and AI to solve real-world industrial problems with large-scale data.</li>\n<li>Proficiency with version control (Git) and CI/CD practices within an agile development environment.</li>\n<li>Excellent programming skills, particularly interface development to generate data visualizations and to extract insights from large complex data sets.</li>\n<li>Strong interpersonal and leadership skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan-oriented manner.</li>\n<li>A self-starter mentality, with the ability to navigate ambiguity and drive projects forward with minimal direction in a fast-paced environment.</li>\n<li>Ability to work in an environment where problems are not always well-defined.</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_8052904a-0ca","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford","sameAs":"https://corporate.ford.com/","logo":"https://logos.yubhub.co/corporate.ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/61973","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PySpark","Scala","Large Language Models (LLMs)","agentic frameworks","LangChain","SQL","version control (Git)","CI/CD practices","interface development","data visualizations","insights from large complex data sets"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:19:10.848Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, PySpark, Scala, Large Language Models (LLMs), agentic frameworks, LangChain, SQL, version control (Git), CI/CD practices, interface development, data visualizations, insights from large complex data sets"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_724d8375-d5b"},"title":"Senior Manager, Infrastructure Lease Accounting","description":"<p>We are seeking a Senior Manager, Infrastructure Lease Accounting to join our Infrastructure Accounting team. As a Senior Manager, you will execute day-to-day accounting for Anthropic&#39;s infrastructure lease portfolio, ensuring the operational scalability and financial accuracy of the core functions that enable Anthropic&#39;s research and commercial success.</p>\n<p>In this role, you will own end-to-end accounting for Anthropic&#39;s infrastructure lease portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You&#39;ll apply deep technical accounting expertise under ASC 842, and help build the processes, controls, and systems that let this function scale.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead end-to-end accounting for Anthropic&#39;s AI infrastructure lease portfolio, including monthly close, reconciliations, roll-forwards, and flux analysis</li>\n<li>Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments)</li>\n<li>Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made</li>\n<li>Serve as a trusted finance partner to non-finance stakeholders , explaining the financial statement impact of their decisions in clear, simple terms they can act on</li>\n<li>Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems</li>\n<li>Design and scale systems, processes, and controls to support a rapidly growing lease portfolio</li>\n<li>Collaborate with and mentor accounting professionals across the Infrastructure Accounting team</li>\n<li>Serve as a key point of contact with external auditors on lease accounting matters</li>\n<li>Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies</li>\n<li>Hold a Bachelor&#39;s degree in Accounting or Finance; CPA or equivalent preferred</li>\n<li>Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements</li>\n<li>Have experience managing a significant lease portfolio in a high-growth environment</li>\n<li>Demonstrate strong analytical abilities and comfort working with large, complex datasets</li>\n<li>Have a track record of improving scalable financial processes in fast-moving environments</li>\n<li>Have experience mentoring and developing accounting professionals</li>\n<li>Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders</li>\n<li>Communicate clearly and influence effectively across cross-functional partners</li>\n<li>Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency</li>\n</ul>\n<p>Strong candidates may have:</p>\n<ul>\n<li>Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases)</li>\n<li>Experience with lease accounting software at scale</li>\n<li>SQL proficiency for querying and analyzing large infrastructure and accounting datasets</li>\n<li>Background in Big 4 accounting or advisory services combined with industry experience</li>\n<li>Experience with complex data center buildouts or hybrid cloud / on-premise environments</li>\n<li>Knowledge of AI/ML infrastructure and associated cost structures</li>\n<li>Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation</li>\n<li>Proven ability to navigate ambiguity and drive results in rapidly changing environments</li>\n</ul>\n<p>Annual compensation range for this role is $190,000-$230,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_724d8375-d5b","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/5194021008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$230,000 USD","x-skills-required":["ASC 842","lease accounting","technical accounting","infrastructure accounting","data center operations","real estate","finance","legal","cross-functional collaboration","process improvement","automation","AI tooling","SQL","large dataset analysis"],"x-skills-preferred":["hyperscalers","large compute consumers","data center operators","lease accounting software","Big 4 accounting","advisory services","complex data center buildouts","hybrid cloud","on-premise environments","AI/ML infrastructure","cost structures","accounting processes","memo drafting","close automation"],"datePosted":"2026-04-24T12:16:14.457Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"ASC 842, lease accounting, technical accounting, infrastructure accounting, data center operations, real estate, finance, legal, cross-functional collaboration, process improvement, automation, AI tooling, SQL, large dataset analysis, hyperscalers, large compute consumers, data center operators, lease accounting software, Big 4 accounting, advisory services, complex data center buildouts, hybrid cloud, on-premise environments, AI/ML infrastructure, cost structures, accounting processes, memo drafting, close automation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b453c3f3-cd5"},"title":"Senior Manager, Infrastructure Capex Accounting","description":"<p>About the role</p>\n<p>Anthropic is seeking a Senior Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic&#39;s owned infrastructure assets , the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure.</p>\n<p>As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic&#39;s research and commercial success.</p>\n<p>This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic&#39;s growing fixed asset base is accounted for and understood across the business.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead end-to-end accounting for Anthropic&#39;s AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis</li>\n</ul>\n<ul>\n<li>Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations)</li>\n</ul>\n<ul>\n<li>Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made</li>\n</ul>\n<ul>\n<li>Serve as a trusted finance partner to non-finance stakeholders , explaining the financial statement impact of their decisions in clear, simple terms they can act on</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates</li>\n</ul>\n<ul>\n<li>Design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio</li>\n</ul>\n<ul>\n<li>Collaborate with and mentor accounting professionals across the Infrastructure Accounting team</li>\n</ul>\n<ul>\n<li>Serve as a key point of contact with external auditors on fixed asset and capex accounting matters</li>\n</ul>\n<ul>\n<li>Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting</li>\n</ul>\n<p>You may be a good fit if you</p>\n<ul>\n<li>Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies</li>\n</ul>\n<ul>\n<li>Hold a Bachelor&#39;s degree in Accounting or Finance; 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Our vision is to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. We&#39;re looking for a Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling.</p>\n<p>Responsibilities: Develop metrics for Copilot usage and quality. Drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot. Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation. Enable A|B experimentation for new features. Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own. 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Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.</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_d33502e9-2df","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-data-scientist-9/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. 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Our vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realise its benefits.</p>\n<p>We&#39;re looking for an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions- in this role you help us describe and measure how people use Microsoft Copilot.</p>\n<p>The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals.</p>\n<p>Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop metrics for Copilot usage and quality.</li>\n<li>Drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot.</li>\n<li>Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.</li>\n<li>Enable A|B experimentation for new features.</li>\n<li>Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own.</li>\n<li>Articulate insights, storyboard with data and communication to influence leadership and other key decision makers.</li>\n<li>Find a path to get things done despite roadblocks to get your work into the hands 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You should also have proven ability to design and build technical prototypes, ingest complex datasets, and optimize search/indexing performance.</p>\n<p>In addition to your technical expertise, you will need strong communication and interpersonal skills to build deep relationships with partner pre-sales teams and guide them through the &#39;how-to&#39; of complex Search AI, Observability, and Security architectures at the configuration level.</p>\n<p>If you are a motivated and experienced professional with a passion for technology and partnership development, we encourage you to apply for this exciting opportunity.</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_9f42b0e0-4bd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7796664","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Elastic Stack (ELK)","distributed search/analytics technologies","technical prototypes","complex datasets","search/indexing performance"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:12:31.653Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, SG"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Elastic Stack (ELK), distributed search/analytics technologies, technical prototypes, complex datasets, search/indexing performance"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_45442000-515"},"title":"Member of Technical Staff, Data Scientist","description":"<p>As Microsoft continues to push the boundaries of AI, we are on the lookout for individuals to work with us on the most interesting and challenging AI questions of our time. 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As a key member of our marketing department, you will be responsible for transforming complex Amazon datasets into actionable sales strategies. Your primary goal will be to identify trends in customer behavior, help optimize promotional spend, and provide actionable insights to support revenue growth.</p>\n<p>Your tasks and responsibilities will include: Transforming weekly performance data into concise, executive-ready performance drivers and drags that explain why sales moved and what the immediate next step should be. Trend identification: highlighting emerging consumer search patterns before they become mainstream. Analyzing Amazon Brand Analytics and profitero and Circana data to understand consumer performance and market share performance. Conducting post-event deep dives for tentpole events (e.g., Prime Day, Black Friday) to measure ROI and inform future forecasting, promo depth, and participation. 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New item launches: creating the Launch Blueprint for new SKUs, using historical category data to set realistic sales targets and advertising benchmarks. Tracking competitor out-of-stock events, pricing, or promotional changes to provide Sales with live-time opportunities/challenges.</p>\n<p>To succeed in this role, you will need: A bachelor&#39;s degree in Business, Finance, Economics, Statistics, or a related analytical field. 2-4+ years of experience in e-commerce analytics, retail, or a CPG environment. Advanced Excel skills, including pivot tables, VLOOKUP/XLOOKUP, and complex data modeling. Proven experience building dashboards in Power BI or Tableau. A sales-first mindset, with the ability to see a data point and immediately translate it into a revenue-generating idea. Agility, with comfort working in a fast-paced environment where data is needed quickly. 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You should enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted. You should also be results-oriented, with a bias towards flexibility and impact.</p>\n<p>Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines, high-volume time series data, data cataloging, lineage, or metadata management systems, ML experiment tracking or metrics platforms, complex data visualization, and full-stack web application 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_22ff82ac-40b","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/5191226008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["software engineering","data-intensive applications","internal tooling","data pipelines","storage systems","APIs","libraries","web interfaces","dataset management","data cataloging","provenance tooling","research workflows","adjacent teams"],"x-skills-preferred":["large-scale ETL","columnar storage formats","query engines","high-volume time series data","lineage","metadata management systems","ML experiment tracking","metrics platforms","complex data visualization","full-stack web application development"],"datePosted":"2026-04-18T15:51:29.293Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, data-intensive applications, internal tooling, data pipelines, storage systems, APIs, libraries, web interfaces, dataset management, data cataloging, provenance tooling, research workflows, adjacent teams, large-scale ETL, columnar storage formats, query engines, high-volume time series data, lineage, metadata management systems, ML experiment tracking, metrics platforms, complex data visualization, full-stack web application development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_44adf646-ae7"},"title":"OIC Developer","description":"<p>We are looking for an expert Oracle Integration Developer to join our Arsenal (Enterprise Systems) team. 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You will operate in a small, highly collaborative team where clarity, accountability, and impact matter.</p>\n<p>Hands-on experience building AI-powered features and using AI tools to improve engineering productivity is required.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead by example: contribute high-quality React code and set the standard for frontend craftsmanship across the platform</li>\n<li>Shape architecture: design scalable component systems, state management patterns, and frontend infrastructure that support long-term growth</li>\n<li>Mentor engineers: coach and support teammates through code reviews, design discussions, and problem-solving</li>\n<li>Own complex problems: drive investigation, debugging, and resolution of performance, rendering, and scalability challenges</li>\n<li>Drive execution: translate product and design requirements into clear technical designs and well-scoped Jira tickets</li>\n<li>Collaborate cross-functionally: work closely with product, design, and backend partners to deliver impactful, end-to-end solutions</li>\n<li>Establish best practices: improve standards around code quality, accessibility, performance, and reliability</li>\n<li>Champion improvement: introduce new tools, patterns, or approaches , including AI-enabled workflows , where they add real value</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of professional software engineering experience, with a strong focus on building and owning modern frontend applications</li>\n<li>Deep expertise in React and modern JavaScript/TypeScript, including component architecture, state management, and frontend application design</li>\n<li>Experience using AI-assisted development tools such as Claude Code or Cursor to accelerate frontend development and improve engineering productivity</li>\n<li>Strong product and design sensibility, with a high bar for UI quality, usability, consistency, and craft</li>\n<li>Proven track record designing frontend architectures that scale across teams, products, and complex user workflows</li>\n<li>Strong knowledge of performance optimization, accessibility, responsive design, and modern frontend best practices</li>\n<li>Deep debugging and problem-solving skills in browser-based applications, with the ability to quickly identify and resolve issues across frontend-backend boundaries</li>\n<li>Proficiency with GitHub-based development workflows, including pull requests, code review practices, branching strategy, and CI/CD automation using GitHub Actions</li>\n<li>Ability to work effectively with backend systems and APIs, contributing where needed while keeping frontend excellence as the primary focus</li>\n<li>Experience as a technical leader who can drive frontend direction, mentor engineers, and raise the quality bar across the team</li>\n<li>Excellent communication skills and the ability to work closely with design, product, and engineering partners</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience building or integrating AI-powered features</li>\n<li>Familiarity with LangGraph, LangChain, or similar agent-based frameworks</li>\n<li>Experience with data-rich UIs: dashboards, analytics, or complex data visualization</li>\n<li>Background in design systems or shared component libraries</li>\n<li>Experience with Cypress or end-to-end testing frameworks</li>\n<li>Background in DevOps and CI/CD practices</li>\n</ul>\n<p>Within Your First 6 Months:</p>\n<ul>\n<li>1 Month , Ramp up on systems, ship initial contributions, and build context across the platform and team.</li>\n<li>3 Months , Own features end-to-end, mentor peers, and influence frontend architecture decisions.</li>\n<li>6 Months , Lead a major frontend initiative, establish guardrails, and raise the bar on performance, scalability, and engineering practices , including thoughtful use of AI where valuable.</li>\n</ul>\n<p>Our Values:</p>\n<ul>\n<li>Humble experts</li>\n<li>Hungry for the opportunity</li>\n<li>Intellectually honest</li>\n<li>Operating as one happy team</li>\n</ul>\n<p>Awesome Benefits:</p>\n<ul>\n<li>Discretionary time off &amp; 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Other portions of the product leverage web technologies and UIs to support configuration management, scenario design, mission planning, mission rehearsal, debrief, and test and evaluation process.</p>\n<p>As such, Hivemind is a highly complex and technical product that enables complex workflows across multiple collaborating teams.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead end-to-end design for high-impact product areas, from strategy and concept to final implementation.</li>\n<li>Drive and uphold design quality through strong ideation, systems thinking, and refinement of shared design standards.</li>\n<li>Partner closely with Product, Engineering, and Customer Experience to define product direction and user needs.</li>\n<li>Facilitate design strategy workshops and collaboration to drive alignment and momentum.</li>\n<li>Influence cross-functional planning, roadmap prioritization, and long-term product vision through design shaping rituals.</li>\n<li>Advocate for the user experience in company-wide discussions; help shape how product success is defined.</li>\n<li>Mentor other designers through feedback, partnering and thought leadership.</li>\n<li>Lead design reviews to collect feedback from engineering, product and customer surrogates, and align features and capabilities</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_7f2e70cc-b60","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/1a538fba-796a-47ab-b956-20157a43f16f","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000 - $289,997 a year","x-skills-required":["Master’s in design, HCI, or demonstrated work experience at a comparable level of expertise","8+ years of professional experience in product/UX design with a track record of shipped, user-facing products","A portfolio demonstrating exceptional interaction design","Expertise with modern design tools (Figma, ProtoPie, etc.) and workflows (design systems, component libraries)","Experience leading product initiatives end-to-end - from exploration to final implementation"],"x-skills-preferred":["Prior experience in a Principal or Staff-level design role at a product-led company","Background in designing enterprise software, platforms","Experience designing developer-facing software tools","Familiarity with geospatial interfaces and complex data visualization or analysis workflows","Experience contributing to design systems and iterating with prototypes, A/B testing, or data-informed workflows"],"datePosted":"2026-04-17T13:02:21.006Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"Master’s in design, HCI, or demonstrated work experience at a comparable level of expertise, 8+ years of professional experience in product/UX design with a track record of shipped, user-facing products, A portfolio demonstrating exceptional interaction design, Expertise with modern design tools (Figma, ProtoPie, etc.) and workflows (design systems, component libraries), Experience leading product initiatives end-to-end - from exploration to final implementation, Prior experience in a Principal or Staff-level design role at a product-led company, Background in designing enterprise software, platforms, Experience designing developer-facing software tools, Familiarity with geospatial interfaces and complex data visualization or analysis workflows, Experience contributing to design systems and iterating with prototypes, A/B testing, or data-informed workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":289997,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_faec8dc3-4d3"},"title":"Senior Machine Learning Scientist","description":"<p>We are seeking a Senior Machine Learning Scientist to help grow the Machine Learning Science team. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organisation dedicated to changing the entire landscape of cancer.</p>\n<p>The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Independently pursuing cutting-edge research in AI applied to biological problems</li>\n<li>Building new models or fine-tuning existing models to identify biological changes resulting from disease</li>\n<li>Building models that achieve high accuracy and that generalise robustly to new data</li>\n<li>Applying contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms</li>\n<li>Working closely with ML Engineering partners to ensure that Freenome&#39;s computational infrastructure supports optimal model training and iteration</li>\n<li>Taking a mindful, transparent, and humane approach to your work</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics</li>\n<li>3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modelling techniques</li>\n<li>Expertise, demonstrated by research publications or industry achievements, in applied machine learning, deep learning and complex data modelling</li>\n<li>Practical and theoretical understanding of fundamental ML models like generalised linear models, kernel machines, decision trees and forests, neural networks</li>\n<li>Practical and theoretical understanding of DL models like large language models or other foundation models</li>\n<li>Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning</li>\n<li>Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data</li>\n<li>Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.</li>\n<li>Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face</li>\n<li>Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights &amp; Biases</li>\n<li>Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations</li>\n<li>A passion for innovation and demonstrated initiative in tackling new areas of research</li>\n</ul>\n<p>Nice to have qualifications include:</p>\n<ul>\n<li>Deep domain-specific experience in computational biology, genomics, proteomics or a related field</li>\n<li>Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models</li>\n<li>Experience in NGS data analysis and bioinformatic pipelines</li>\n<li>Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS</li>\n<li>Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems</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_faec8dc3-4d3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/7963050002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$173,775 - $246,750","x-skills-required":["PhD or equivalent research experience","Applied machine learning","Deep learning","Complex data modelling","Generalised linear models","Kernel machines","Decision trees and forests","Neural networks","Large language models","Supervised learning","Self-supervised learning","Contrastive learning","Python","R","Java","C","C++","Pytorch","Tensorflow","Jax","Hugging Face","TensorBoard","MLflow","Weights & Biases"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:35:12.037Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"PhD or equivalent research experience, Applied machine learning, Deep learning, Complex data modelling, Generalised linear models, Kernel machines, Decision trees and forests, Neural networks, Large language models, Supervised learning, Self-supervised learning, Contrastive learning, Python, R, Java, C, C++, Pytorch, Tensorflow, Jax, Hugging Face, TensorBoard, MLflow, Weights & Biases","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":173775,"maxValue":246750,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_187c9aa5-4ac"},"title":"Backend / API Engineer, Privacy Products","description":"<p>We&#39;re seeking a skilled Backend / API Engineer to join our Privacy Products team. As a key member of this team, you&#39;ll design, build, and extend external-facing privacy products, including the data access tool and privacy portal. You&#39;ll also collaborate with cross-functional teams to extend our privacy systems and ensure compliance with industry regulations.</p>\n<p>Responsibilities:\nDesign, build, and extend external-facing privacy products such as the data access tool and privacy portal\nBuild API products for customers to help them manage their privacy requirements\nBuild internal tools for other Stripe teams to help manage their privacy requirements\nBuild and extend our data access and deletion pipelines\nCollaborate with our users and on cross-functional teams to extend our privacy systems</p>\n<p>Requirements:\n6+ years of professional hands-on software development experience\nEmpathy, strong communication skills, and a deep respect for the power of collaboration\nAble to work well individually, cross-team, and cross-functionally\nThe ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership\nExcellent problem-solving skills and attention to detail\nHigh standards for code quality and a constructive attitude to help others raise the bar</p>\n<p>Preferred qualifications:\nExperience with privacy regulations (GDPR, CCPA, etc.) and implementing technical solutions to address them\nExperience with complex data pipelines over large datasets\nExperience designing and building user-facing privacy tools\nExperience with Ruby or Java in production environments</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_187c9aa5-4ac","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7579264","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["API","Backend","Software Development","Privacy Regulations","Data Pipelines","Ruby","Java"],"x-skills-preferred":["GDPR","CCPA","Complex Data Pipelines","User-Facing Privacy Tools"],"datePosted":"2026-03-31T18:05:28.416Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, Seattle"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"API, Backend, Software Development, Privacy Regulations, Data Pipelines, Ruby, Java, GDPR, CCPA, Complex Data Pipelines, User-Facing Privacy Tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_deb1751b-655"},"title":"Director, Head of Private Credit, Preqin Research Insights","description":"<p>About this role</p>\n<p>BlackRock is seeking a Director, Head of Private Credit, Preqin Research Insights to join the team in London. The ideal candidate will possess extensive knowledge of the private credit industry and be an excellent communicator in public settings.</p>\n<p>Role Overview</p>\n<p>BlackRock is a global asset manager and technology provider committed to helping more and more people achieve financial wellbeing. Continuous innovation enables us to bring the best of BlackRock to our clients — especially as we expand and strengthen our leadership in private markets, supported by Aladdin, our end-to-end investment, risk and data platform.</p>\n<p>Private Credit is a key growth area for both the firm and for Preqin, Aladdin’s private markets data business. In this context, the Preqin Research Insights team is seeking a Head of Private Credit to join the team in London.</p>\n<p>The Research Insights team serves as Preqin’s authoritative voice in the market and comprises more than 15 analysts across alternative asset classes, based in London, New York, Dallas, Singapore and Hong Kong. The team produces over 100 institutional research publications a year (<a href=\"http://www.preqin.com/insights\">www.preqin.com/insights</a>) that are available to subscribers through Preqin’s commercial platform (PreqinPRO), and have seen strong growth over the last few years. The team also presents at over 50 industry forums and hundreds of strategic BlackRock client engagements each year.</p>\n<p>Key Responsibilities</p>\n<ul>\n<li>Lead Private Credit research: lead research agenda to position Preqin as thought-leader on private credit across the industry, in collaboration with the Head of Preqin Research and partners across BlackRock</li>\n<li>Client and media engagement: represent Preqin at industry events, client meetings and financial press engagements</li>\n<li>Team development: mentor a team of researchers that touch private credit across Preqin Research, helping to ensure the production of high quality data driven content that resonates with clients</li>\n<li>Stakeholder engagement: build strong relationships across BlackRock teams working on private credit, across investment, client, Aladdin and corporate functions</li>\n<li>Product leadership: provide feedback on Preqin Private Credit data roadmap, grounded in the understanding of market developments and insights that clients need</li>\n</ul>\n<p>Required Skills</p>\n<ul>\n<li>Industry experience: 15+ years of experience preferred in private credit or related areas. The ideal candidate will possess deep understanding of the broader private credit ecosystem, including Banks, Insurance and Wealth.</li>\n<li>Communication: exceptional presentation skills and ability to confidently and succinctly respond to questions</li>\n<li>Problem solving: ability frame problems and to define path forward in the absence of a clear industry standard (particularly relevant in private credit where definitions of key concepts – like “ABF” – are still evolving)</li>\n<li>Writing and analytical skills: demonstrated ability to analyze complex datasets and crystallize meaningful insights</li>\n<li>AI proficiency: hands-on comfort using AI tools in daily research work (e.g., prompt-based research, synthesis, data exploration – with awareness of AI limitations) and prompt engineering fundamentals (ability to create, test, iterate, and evaluate prompts/workflows to achieve consistent outputs)</li>\n</ul>\n<p>Preferred Qualifications and Skills</p>\n<ul>\n<li>CFA or CAIA qualification preferred</li>\n<li>Bachelor&#39;s degree in a relevant field and advanced degree preferred</li>\n<li>Proficiency in Microsoft Office suite, particularly Excel, PowerPoint and Word.</li>\n</ul>\n<p>Our benefits</p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p>Our hybrid work model</p>\n<p>BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p>\n<p>About BlackRock</p>\n<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p>\n<p>This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</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_deb1751b-655","directApply":true,"hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/icKsdMbxUj5hVse2Tj5n3S/director%2C-head-of-private-credit%2C-preqin-research-insights-in-london-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Industry experience: 15+ years of experience preferred in private credit or related areas","Communication: exceptional presentation skills and ability to confidently and succinctly respond to questions","Problem solving: ability frame problems and to define path forward in the absence of a clear industry standard","Writing and analytical skills: demonstrated ability to analyze complex datasets and crystallize meaningful insights","AI proficiency: hands-on comfort using AI tools in daily research work"],"x-skills-preferred":["CFA or CAIA qualification","Bachelor's degree in a relevant field and advanced degree","Proficiency in Microsoft Office suite, particularly Excel, PowerPoint and Word"],"datePosted":"2026-03-09T16:45:15.001Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Industry experience: 15+ years of experience preferred in private credit or related areas, Communication: exceptional presentation skills and ability to confidently and succinctly respond to questions, Problem solving: ability frame problems and to define path forward in the absence of a clear industry standard, Writing and analytical skills: demonstrated ability to analyze complex datasets and crystallize meaningful insights, AI proficiency: hands-on comfort using AI tools in daily research work, CFA or CAIA qualification, Bachelor's degree in a relevant field and advanced degree, Proficiency in Microsoft Office suite, particularly Excel, PowerPoint and Word"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5cdba52d-270"},"title":"Financial Quantitative Modeler, Aladdin Financial Engineering, Associate","description":"<p><strong>About this role</strong></p>\n<p>We are seeking an associate-level quantitative researcher to support and expand our growing suite of models for estimating the value of private assets and producing next-generation, real-time private market indices.</p>\n<p><strong>Role Description</strong></p>\n<p>The role centers on the development, operation, and continuous enhancement of Nowcasting models—managing day-to-day index estimation, improving model performance, and ensuring a robust, high-quality production process. A key challenge will be adapting these models to new situations, data conditions, and asset-class features, and determining when extensions or methodological changes are appropriate.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Manage and enhance the team’s existing Nowcasting model for private assets, including calibration, monitoring, diagnostics, and performance evaluation.</li>\n<li>Conduct empirical research to calibrate models to private market data and assess model performance through backtesting, benchmarking, and robustness analysis.</li>\n<li>Implement, maintain, and productionize model codebases, ensuring reliability, transparency, and reproducibility.</li>\n<li>Partner with internal stakeholders to understand use cases, communicate model behavior and limitations, and support applications of the models in investment and analytical workflows.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Master’s degree in Financial Engineering, Finance, Statistics/Econometrics, Mathematics, Computer Science, or a related quantitative field; PhD preferred.</li>\n<li>3+ years of experience in financial modeling role or equivalent.</li>\n<li>Strong grounding in empirical modeling techniques, especially time-series analysis and Bayesian methods.</li>\n<li>Demonstrated ability to conduct rigorous empirical research, including handling complex datasets and designing well-structured analyses.</li>\n</ul>\n<p><strong>Our benefits</strong></p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p><strong>Our hybrid work model</strong></p>\n<p>BlackRock’s hybrid work model is designed to enable a culture where collaboration and apprenticeship enrich the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.</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_5cdba52d-270","directApply":true,"hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/n8hk6LzGnc6Z525JqxQ17F/financial-quantitative-modeler%2C-aladdin-financial-engineering%2C-associate-in-london-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Financial modeling","Time-series analysis","Bayesian methods","Empirical research","Complex datasets","Well-structured analyses"],"x-skills-preferred":["Private assets","Venture capital","Growth equity","Buyout private equity"],"datePosted":"2026-03-09T16:39:19.617Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England, United Kingdom"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, Financial modeling, Time-series analysis, Bayesian methods, Empirical research, Complex datasets, Well-structured analyses, Private assets, Venture capital, Growth equity, Buyout private equity"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_702fd3e3-586"},"title":"Senior Manager Complete Vehicle","description":"<p><strong>Position overview</strong></p>\n<p>The Complete Vehicle Teams are taking responsibility for market specific requirements testing Complete Vehicle systems and services in North America by covering test activities along the development process of vehicle models and services. The Senior Manager Complete Vehicle ensures timely resolution and coordinates all relevant teams for all topics belonging to the field of test processes and infrastructure. The Senior Manager Complete Vehicle is also responsible for building, coordinating and growing the Complete Vehicle development activities in cooperation with other Porsche respectively VW Group entities in the San Francisco Bay Area. The Senior Manager Complete Vehicle is also responsible for Porsche Engineering North America, Inc. as the main contact and person in authority for their respective technical projects which cover all current and upcoming Porsche models within the market. This responsibility necessitates the capability of coordinating multiple teams in different locations (mainly regions of San Jose and Los Angeles) as well as staying abreast of the latest technology in development and validation within Porsche AG. This position collaborates closely with teams within Porsche Engineering, Porsche AG and PCNA, as well as international project teams and involved partners.</p>\n<p><strong>Roles &amp; responsibilities</strong></p>\n<ul>\n<li>Lead the strategic development of Porsche Engineering’s US prototype build up/integration, testing and development activities for Complete Vehicle in alignment with the overall strategic direction of Porsche Engineering</li>\n<li>Build and lead a US-specific Complete Vehicle prototype build up/integration, testing and development team in collaboration with Porsche Engineering Germany</li>\n<li>Lead and coordinate prototype build up/integration, test and development teams in multiple locations (mainly San Jose and Los Angeles)</li>\n<li>Ensure provision of ready-to-use test infrastructure in-time based on Porsche test plans by coordinating teams of test infrastructure engineers and suppliers to ensure set-up, updates, and maintenance of prototypes and test cars in 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international test infrastructure, integration and commissioning team coordinators in other locations as well as Porsche testing teams, function development teams, suppliers, backend development teams to share project information, improve processes and enhance know-how exchange</li>\n<li>Lead and coordinate test drive teams, endurance test teams and quality engineering teams with support for pressing and frequent topics</li>\n<li>Analyze test requirements and technical specifications to continuously improve and adapt test infrastructure und test processes</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>Required qualifications</strong></p>\n<ul>\n<li>Bachelor’s degree in Informatics, Mechanical or Electrical Engineering</li>\n<li>10+ years of automotive industry experience in engineering, managing or related role</li>\n<li>10+ years of experience in development and testing of electric and electronic systems for vehicles</li>\n<li>5+ years of experience in building and 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Engineering</li>\n<li>Good knowledge of vehicle topology, architecture and bus systems and communication protocols</li>\n<li>Prior experience with both the German and US language and culture considered as a plus</li>\n<li>Ideal candidates are tenacious, persistent, well-organized, flexible adapting to various forms of challenges, process oriented and work well within a group</li>\n<li>Distinct customer orientation, professional presence and assertiveness</li>\n<li>Ability to effectively direct and manage cross-functional teams in different locations</li>\n<li>Ability to understand complex data and narrow it down to essential information</li>\n<li>Detail-oriented with a high degree of accuracy</li>\n<li>Ability to prioritize and work under tight deadlines</li>\n<li>Strong team player with excellent interpersonal skills</li>\n<li>Independent and fast work style, high dedication</li>\n<li>Outstanding analytical, organizational and negotiating skills</li>\n<li>Strong verbal and written communication skills in English and German is a plus</li>\n</ul>\n<p><strong>At a Glance</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_702fd3e3-586","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=19782","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,000 to $190,000 per year","x-skills-required":["Informatics","Mechanical Engineering","Electrical Engineering","Automotive systems","Vehicle architecture","Software","ADAS technology","Systems and components","Entrepreneurial thinking","Analytical and problem-solving skills","Communication skills","Team-oriented environment"],"x-skills-preferred":["Vehicle 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on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>We are looking for a Director of Data Engineering and Agentic AI Automation to lead the next generation of our finance data infrastructure. As OpenAI expands its Finance operations, we need scalable and trustworthy data systems to match the pace and complexity of our growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. You will lead a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect our internal engineering systems with enterprise platforms such as Oracle Fusion ERP. This role will also define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation.</li>\n</ul>\n<ul>\n<li>Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems.</li>\n</ul>\n<ul>\n<li>Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes.</li>\n</ul>\n<ul>\n<li>Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday.</li>\n</ul>\n<ul>\n<li>Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance.</li>\n</ul>\n<ul>\n<li>Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency.</li>\n</ul>\n<ul>\n<li>Create and maintain data marts and products that support stakeholders across Revenue, FP&amp;A, Tax, Procurement, Hardware Accounting, and Controller teams.</li>\n</ul>\n<ul>\n<li>Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains.</li>\n</ul>\n<ul>\n<li>Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes.</li>\n</ul>\n<ul>\n<li>Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities.</li>\n</ul>\n<ul>\n<li>Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.</li>\n</ul>\n<ul>\n<li>Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards.</li>\n</ul>\n<ul>\n<li>Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.”</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets</li>\n</ul>\n<ul>\n<li>Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks</li>\n</ul>\n<ul>\n<li>Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)</li>\n</ul>\n<ul>\n<li>Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain</li>\n</ul>\n<ul>\n<li>Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C</li>\n</ul>\n<ul>\n<li>Experience integrating with contract manufacturers and external logistics providers is a strong plus</li>\n</ul>\n<ul>\n<li>Strong track record of partnering with senior business stakeholders</li>\n</ul>\n<p><strong>Work Environment</strong></p>\n<p>This role is based in San Francisco, CA. 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