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You will combine technical depth with strategic thinking and clear, compelling communication.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Developing and implementing a comprehensive shift-left test strategy for SDV systems based on vECU virtualisation, including business case evaluation, tool comparison, scalability, and cost models</li>\n<li>Designing, building, and further developing cloud-based test environments for embedded and software-defined vehicle systems</li>\n<li>Providing strategic advice to OEMs, Tier-1s, and technology partners on cloud, hybrid, and hardware test approaches throughout the entire development cycle</li>\n<li>Evaluating, selecting, and integrating leading vECU solutions into existing toolchains and CI/CD pipelines</li>\n<li>Active stakeholder management, including customer contact, pre-sales support, and presenting strategic recommendations at the management level</li>\n<li>Introducing and scaling AI-driven methods in quality assurance, such as intelligent test prioritisation, anomaly detection, or data-driven optimisation of test strategies</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>A degree in computer science, electrical engineering, or a related field, combined with over 5 years of experience in test automation of embedded or SDV systems (e.g. ADAS, infotainment, or zone architectures)</li>\n<li>Practical experience with vECU approaches from at least two projects, including setting up cloud-based test environments and integration into CI/CD pipelines</li>\n<li>Passion for modern software-defined vehicle architectures, innovative test methods, and the use of AI in quality assurance, such as intelligent test case generation, fault classification, or anomaly detection</li>\n<li>Expertise in cloud and virtualisation technologies, particularly container and VM-based test infrastructures, as well as hybrid cloud/HIL scenarios</li>\n<li>Strong understanding of the market and technology landscape in the areas of vECU, SDV, and automotive testing, combined with experience with common toolchains</li>\n</ul>\n<p>As an ideal candidate, you will be characterised by a structured and analytical approach, the ability to clearly present complex and unclear problem statements, and derive decision options for management and technology. You will also possess strong communication and advisory skills, as well as a leadership mindset with technical expertise, clarity, and initiative.</p>\n<p>The position is available immediately, and we offer a competitive salary and benefits package. If you are interested in this exciting opportunity, please submit your application, including your resume and cover letter, to our careers portal.</p>\n<p>We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e97f854b-b4c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"MHP","sameAs":"https://www.mhp.com","logo":"https://logos.yubhub.co/mhp.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20406","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["vECU","SDV","test automation","cloud computing","virtualisation","containerisation","VM-based test infrastructure","hybrid cloud/HIL scenarios","AI-driven methods","quality assurance","test prioritisation","anomaly detection","data-driven optimisation"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:32:12.180Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"vECU, SDV, test automation, cloud computing, virtualisation, containerisation, VM-based test infrastructure, hybrid cloud/HIL scenarios, AI-driven methods, quality assurance, test prioritisation, anomaly detection, data-driven optimisation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ba66dcb1-8d9"},"title":"Research Scientist, AI Controls and Monitoring","description":"<p>We&#39;re seeking a Research Scientist to join our team focused on AI Controls and Monitoring. 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The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on,from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.</p>\n<p>As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude. We’re building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic’s multi-cluster infrastructure</li>\n</ul>\n<ul>\n<li>Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth</li>\n</ul>\n<ul>\n<li>Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services</li>\n</ul>\n<ul>\n<li>Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise</li>\n</ul>\n<ul>\n<li>Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling</li>\n</ul>\n<ul>\n<li>Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation</li>\n</ul>\n<p><strong>You May Be a Good Fit If You</strong></p>\n<ul>\n<li>Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure</li>\n</ul>\n<ul>\n<li>Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others</li>\n</ul>\n<ul>\n<li>Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale</li>\n</ul>\n<ul>\n<li>Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems</li>\n</ul>\n<ul>\n<li>Have strong proficiency in at least one of Python, Rust, or Go</li>\n</ul>\n<ul>\n<li>Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities</li>\n</ul>\n<ul>\n<li>Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)</li>\n</ul>\n<ul>\n<li>Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads</li>\n</ul>\n<ul>\n<li>Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies</li>\n</ul>\n<ul>\n<li>Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale</li>\n</ul>\n<ul>\n<li>Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling</li>\n</ul>\n<ul>\n<li>Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>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. 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You will also explore and implement innovative, AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.</p>\n<p>In addition, you will establish clear frameworks for cost attribution, budgeting, forecasting, and alerting across infrastructure and observability spend, enabling teams to make informed tradeoffs.</p>\n<p>You will partner with infrastructure, product engineering, finance, and security teams to improve visibility into system health and cost efficiency at scale.</p>\n<p>You will lead initiatives to optimize observability footprint and spend, balancing depth of insight with performance and cost considerations.</p>\n<p>You will coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, collaboration, and high-quality execution.</p>\n<p>We are looking for someone with 4+ years of experience leading infrastructure, observability, or platform engineering teams, with a track record of delivering highly reliable production systems.</p>\n<p>You should have deep hands-on experience with modern observability platforms (e.g., Datadog, OpenTelemetry) across metrics, logs, and distributed tracing.</p>\n<p>You should have a strong understanding of distributed systems, instrumentation best practices, SLO design, and incident response workflows.</p>\n<p>Experience driving cost transparency and accountability initiatives, including cost attribution, budgeting, forecasting, and alerting in cloud environments is also required.</p>\n<p>Preferred skills include experience designing or evolving company-wide observability standards, shared libraries, and agent/operator-based integrations, background in cost optimization for infrastructure or observability tooling, including vendor negotiations and usage modeling, and experience applying AI or machine learning techniques to anomaly detection, root cause analysis, or operational automation.</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_067a9092-157","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Figma","sameAs":"https://www.figma.com/","logo":"https://logos.yubhub.co/figma.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/figma/jobs/5807963004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$258,000-$376,000 USD","x-skills-required":["observability","datadog","opentelemetry","distributed systems","instrumentation best practices","slo design","incident response workflows","cost transparency","accountability initiatives","cost attribution","budgeting","forecasting","alerting"],"x-skills-preferred":["designing or evolving company-wide observability standards","shared libraries","agent/operator-based integrations","cost optimization for infrastructure or observability tooling","vendor negotiations","usage modeling","applying ai or machine learning techniques to anomaly detection","root cause analysis","operational automation"],"datePosted":"2026-04-18T15:55:20.408Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA • New York, NY • United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"observability, datadog, opentelemetry, distributed systems, instrumentation best practices, slo design, incident response workflows, cost transparency, accountability initiatives, cost attribution, budgeting, forecasting, alerting, designing or evolving company-wide observability standards, shared libraries, agent/operator-based integrations, cost optimization for infrastructure or observability tooling, vendor negotiations, usage modeling, applying ai or machine learning techniques to anomaly detection, root cause analysis, operational automation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":258000,"maxValue":376000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_190bd9e9-0d1"},"title":"Staff+ Software Engineer, Observability","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on,from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.</p>\n<p>By joining this team, you’ll have a direct impact on the reliability and operational excellence of Anthropic’s research and product systems.</p>\n<p>As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude. We’re building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic’s multi-cluster infrastructure</li>\n</ul>\n<ul>\n<li>Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth</li>\n</ul>\n<ul>\n<li>Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services</li>\n</ul>\n<ul>\n<li>Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise</li>\n</ul>\n<ul>\n<li>Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling</li>\n</ul>\n<ul>\n<li>Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation</li>\n</ul>\n<p><strong>You May Be a Good Fit If You</strong></p>\n<ul>\n<li>Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure</li>\n</ul>\n<ul>\n<li>Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others</li>\n</ul>\n<ul>\n<li>Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale</li>\n</ul>\n<ul>\n<li>Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems</li>\n</ul>\n<ul>\n<li>Have strong proficiency in at least one of Python, Rust, or Go</li>\n</ul>\n<ul>\n<li>Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities</li>\n</ul>\n<ul>\n<li>Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)</li>\n</ul>\n<ul>\n<li>Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads</li>\n</ul>\n<ul>\n<li>Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies</li>\n</ul>\n<ul>\n<li>Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale</li>\n</ul>\n<ul>\n<li>Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling</li>\n</ul>\n<ul>\n<li>Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>How we’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’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</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_190bd9e9-0d1","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/5102440008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"£325,000-£390,000 GBP","x-skills-required":["Python","Rust","Go","Prometheus","Grafana","ClickHouse","OpenTelemetry"],"x-skills-preferred":["Kubernetes-native monitoring","eBPF-based observability","continuous profiling","AI/LLMs","automated root cause analysis","anomaly detection","intelligent alerting"],"datePosted":"2026-04-18T15:54:10.425Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Rust, Go, Prometheus, Grafana, ClickHouse, OpenTelemetry, Kubernetes-native monitoring, eBPF-based observability, continuous profiling, AI/LLMs, automated root cause analysis, anomaly detection, intelligent alerting","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":390000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_307c2f1c-d78"},"title":"Senior SDET - Tooling Engineer","description":"<p>We are looking for a highly skilled Senior Software Quality Engineer (SDET) to lead our end-to-end quality engineering initiatives across mobile, web, backend, and data platforms. 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Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles.</p>\n<p>Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability.</p>\n<p><strong>Automation Excellence</strong></p>\n<p>Design, build, and scale robust automation frameworks using:</p>\n<ul>\n<li>XCUITest, Espresso, Appium (mobile automation)</li>\n<li>Playwright (web and mobile web validation)</li>\n<li>REST Assured or similar tools for API and service validation</li>\n</ul>\n<p>Ensure frameworks are modular, maintainable, and optimized for scale across multiple teams. 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Lead root-cause analysis of complex cross-layer defects spanning mobile UI, APIs, backend services, and web surfaces.</p>\n<p>Ensure reliability validation is embedded directly into release workflows.</p>\n<p><strong>Cross-Functional Collaboration and Leadership</strong></p>\n<p>Collaborate closely with mobile engineers, backend developers, web engineers, product managers, DevOps teams, and release managers to define clear, testable requirements and release criteria. Actively participate in sprint grooming, planning, stand-ups, and retrospectives.</p>\n<p>Influence best practices around mobile-first design, API contracts, and release readiness. Support mobile app release activities, including release candidate validation, go/no-go recommendations, and post-release monitoring.</p>\n<p>Mentor junior QA engineers and contribute to raising the technical bar in automation and cross-platform validation. Work effectively with globally distributed teams to coordinate testing across time zones.</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_307c2f1c-d78","directApply":true,"hiringOrganization":{"@type":"Organization","name":"EarnIn","sameAs":"https://www.earnin.com/","logo":"https://logos.yubhub.co/earnin.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/earnin/jobs/7403324","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$210,000 to $257,000.Minus equity and benefits","x-skills-required":["XCUITest","Espresso","Appium","Playwright","REST Assured","API contracts","Feature flags","Deterministic state management","AI-assisted test case and test data generation","Intelligent regression suite prioritization","Predictive defect detection","Risk-based testing","Flaky test detection","Automated stabilization insights","Log intelligence","Crash clustering","Anomaly detection","CI/CD pipelines","Pre-merge quality gates","Parallelized execution","Environment-aware test runs","Post-deployment smoke and regression coverage","Self-service test execution","Real-time reporting and dashboards","Faster debugging and failure triage","Scalable test data and environment management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:59.311Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"XCUITest, Espresso, Appium, Playwright, REST Assured, API contracts, Feature flags, Deterministic state management, AI-assisted test case and test data generation, Intelligent regression suite prioritization, Predictive defect detection, Risk-based testing, Flaky test detection, Automated stabilization insights, Log intelligence, Crash clustering, Anomaly detection, CI/CD pipelines, Pre-merge quality gates, Parallelized execution, Environment-aware test runs, Post-deployment smoke and regression coverage, Self-service test execution, Real-time reporting and dashboards, Faster debugging and failure triage, Scalable test data and environment management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":257000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_573fecd4-5b1"},"title":"Staff Software Engineer - Money Team","description":"<p>At Databricks, we are obsessed with Data + AI to solve the world&#39;s toughest problems. We build and run the world&#39;s best data and AI infrastructure platform, so our customers can focus on high-value challenges. The Money team&#39;s mission is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering.</p>\n<p>Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP &amp; Azure).</p>\n<p>As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market.</p>\n<p>By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified &#39;sky computation&#39; experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Design and manage the Money systems and services, commercializing all Databricks products and offerings.</li>\n<li>Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.</li>\n<li>Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.</li>\n<li>Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.</li>\n<li>Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.</li>\n<li>You will become an expert at using the Databricks Data + AI tools</li>\n<li>Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.</li>\n<li>Represent Databricks at academic and industrial conferences &amp; events.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>BS or higher degree in Computer Science or a related field.</li>\n<li>Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.</li>\n<li>Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.</li>\n<li>Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.</li>\n<li>A proactive approach and a passion for delivering high-quality solutions</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_573fecd4-5b1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7111068002","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$182,400-$247,000 USD","x-skills-required":["Apache Spark","Databricks Data + AI tools","Cloud providers (AWS, GCP & Azure)","CI/CD processes","Test frameworks","Data quality assurance","End-to-end reconciliation","Anomaly detection"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:44:00.728Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Apache Spark, Databricks Data + AI tools, Cloud providers (AWS, GCP & Azure), CI/CD processes, Test frameworks, Data quality assurance, End-to-end reconciliation, Anomaly detection","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":182400,"maxValue":247000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8a68e8bd-dd5"},"title":"Consulting Architect - Observability","description":"<p>As a Consulting Architect – Observability, you will play a pivotal role in helping our customers realise the value of Elastic’s Solutions. 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You will capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.</p>\n<p>You will guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalisation, and related technologies. You will design and implement custom dashboards, visualisations, and alerting for critical observability use cases in Kibana. You will optimise ingestion pipelines for performance, scalability, and resiliency at enterprise scale.</p>\n<p>You will have 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains. You will have strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash. You will have knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.</p>\n<p>You will have understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs. You will have experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code. You will have familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.</p>\n<p>You will have proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale. You will have hands-on expertise in distributed systems and large-scale infrastructure. You will have ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.</p>\n<p>You will have experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene. 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Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience.</p>\n<p>You&#39;ll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.</li>\n<li>Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.</li>\n<li>Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.</li>\n<li>Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.</li>\n<li>Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.</li>\n<li>Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.</li>\n<li>Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration</li>\n</ul>\n<p>Required skills include:</p>\n<ul>\n<li>5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.</li>\n<li>Expertise in the Telecommunications domain, especially with Mobile networks and devices.</li>\n<li>Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.</li>\n<li>Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.</li>\n<li>Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.</li>\n<li>Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.</li>\n<li>Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.</li>\n<li>Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.</li>\n<li>Hands-on expertise in distributed systems and large-scale infrastructure.</li>\n<li>Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.</li>\n<li>Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.</li>\n<li>Strong communication and presentation skills, with experience engaging directly with customers.</li>\n<li>Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.</li>\n<li>Comfortable working in highly distributed teams, both remote and on-site when needed.</li>\n<li>May require significant travel to customer sites to support engagements and solution implementations; 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pipelines"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ed877cf7-715"},"title":"Member of Technical Staff - X Money, Fraud and Payments","description":"<p>We&#39;re looking for an exceptional Software Engineer to focus on Fraud Engineering for a new payments platform serving 600 million+ monthly users. This high-priority role is responsible for protecting users and the platform from fraud, abuse, and risk. You&#39;ll play a key role in designing and implementing systems to detect, prevent, and mitigate fraud in real time,at scale.</p>\n<p>Your work will be at the intersection of security, distributed systems, and product engineering, helping build trusted payments infrastructure from the ground up.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and implement fraud detection and prevention systems that operate at global scale and low latency</li>\n<li>Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms</li>\n<li>Collaborate with product, compliance, X Money, Fraud Prevention, and infrastructure teams to ensure a secure and seamless user experience</li>\n<li>Monitor and analyze fraud trends, and proactively respond to new attack vectors</li>\n<li>Define engineering standards around observability, reliability, and rapid response in fraud-related systems</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred</li>\n<li>Skilled in distributed systems: You&#39;ve built resilient, high-throughput systems that operate under real-time constraints</li>\n<li>Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles</li>\n<li>Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges</li>\n<li>Builder mentality: You&#39;re excited by zero-to-one problems and proven ability to thrive in fast-paced environments. You are willing to work hard.</li>\n</ul>\n<p><strong>Bonus</strong></p>\n<ul>\n<li>Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems</li>\n<li>Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems</li>\n<li>Experience in fintech, trust &amp; safety, or adversarial system design</li>\n<li>Comfortable working in a zero-to-one environment with rapid iteration</li>\n<li>Experience with: Golang, Postgres, Kafka, Memcached</li>\n</ul>\n<p><strong>Compensation and Benefits</strong></p>\n<p>$180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p 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_ed877cf7-715","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://xai.com","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4758524007","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["backend or systems engineering","fraud, risk, or abuse prevention systems","distributed systems","security-conscious","analytical and pragmatic","builder mentality","Golang","Postgres","Kafka","Memcached"],"x-skills-preferred":["real-time anomaly detection","machine learning for fraud","rule-based risk systems","AML/KYC regulations","chargeback flows","identity verification systems","fintech","trust & safety","adversarial system design"],"datePosted":"2026-04-18T15:24:12.933Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend or systems engineering, fraud, risk, or abuse prevention systems, distributed systems, security-conscious, analytical and pragmatic, builder mentality, Golang, Postgres, Kafka, Memcached, real-time anomaly detection, machine learning for fraud, rule-based risk systems, AML/KYC regulations, chargeback flows, identity verification systems, fintech, trust & safety, adversarial system design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8db20763-21b"},"title":"AI Product Owner - Operations","description":"<p>The Role</p>\n<p>Belong is building the Residential Operating System: a fully integrated, AI-powered platform that manages homes, coordinates thousands of real-world service moments, and creates authentic belonging experiences for homeowners and residents. The member journey is the product. But the Residential OS only delivers on that promise if the operational machinery running beneath it is intelligent, instrumented, and self-improving.</p>\n<p>Most companies say they are AI-first. At Belong, it means something specific: by the end of 2025, the majority of communications across sales, leasing, homecare, and concierge functions are AI-generated. Human Advisors and Concierges handle trust-critical moments. AI agents handle everything else: triage, scheduling, status updates, escalation routing, vendor coordination, documentation.</p>\n<p>The operations product surface is where that architecture lives or dies. As Product Owner, Operations, your job is to design, deploy, and relentlessly improve the AI-powered system that runs the homeowner and resident journey from inspection through occupancy. You are not writing requirements for a future that engineers will build someday. You are shipping agent-driven workflows today, measuring their quality and deflection rates next week, and iterating the week after.</p>\n<p>This role is for someone who understands that the frontier of operations is not better dashboards. It is autonomous systems that perform with the judgment of your best operator, at infinite scale, at the moment the member needs it.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>AI agent architecture across the operational journey. Every operational phase, from home preparation, move-in orchestration, homecare and maintenance, to Pro coordination and vendor scheduling, has a human workflow today and an AI-assisted target state. You will define that target state phase by phase: what the agent handles autonomously, what triggers human review, what escalates immediately.</p>\n</li>\n<li><p>The agent-human handoff model. The Member Journey Brief is explicit: humans are deployed at trust-critical moments. AI handles orchestration, speed, and precision behind the scenes. You are the person who defines exactly where that line sits, and who moves it systematically as agent quality improves.</p>\n</li>\n<li><p>LLM-powered communication workflows. Belong&#39;s target is 80% AI-generated communications across operational functions by Q3. You will own the product layer that makes this real for operations: the prompt architecture, context retrieval pipelines, output quality review systems, and the feedback loops that improve generation quality over time.</p>\n</li>\n<li><p>Foundation as the AI control panel. Foundation is where Belong&#39;s operational teams live. Every tool your squad ships into Foundation is either creating leverage for humans or replacing manual work with agent-driven automation. You will define the roadmap for Foundation&#39;s evolution from task management system to AI control panel: where agents surface for review, where exceptions queue for human action, where quality scores and deflection rates are visible in real time.</p>\n</li>\n<li><p>Operational instrumentation and model feedback. AI systems degrade without structured feedback. You will build the instrumentation that captures ground truth: CSAT signals, escalation rates, rework rates, SLA breach patterns, and member sentiment. You will design the feedback loops that push this signal back into model evaluation and prompt improvement.</p>\n</li>\n</ul>\n<p>The AI Stack You Will Work With</p>\n<ul>\n<li>LLM-based communication generation with context injection from CRM and operational state</li>\n<li>Agentic scheduling and coordination workflows (Homecare triage, Pro dispatch, vendor coordination)</li>\n<li>Automated escalation routing based on signal classification</li>\n<li>Quality scoring and anomaly detection on agent outputs</li>\n<li>Retrieval-augmented generation for Concierge and Homecare agent context</li>\n</ul>\n<p>What Success Looks Like</p>\n<ul>\n<li>90 days: Every operational phase has a documented AI target state with defined autonomous scope, human escalation thresholds, and instrumentation in place.</li>\n<li>6 months: AI-assisted workflows have measurably reduced manual communication volume across at least 2 operational functions with no CSAT degradation.</li>\n<li>Year 1: The majority of routine operational communications in your product surface are AI-generated. Human operators are handling exceptions, escalations, and trust-critical moments, nothing else.</li>\n</ul>\n<p>Example KPIs You Will Be Held To</p>\n<ul>\n<li>AI deflection rate vs. manual handling baseline, by operational function</li>\n<li>CSAT from homeowners and residents at each operational phase (the constraint: deflection gains cannot come at CSAT cost)</li>\n<li>SLA compliance rates for homecare and Pro services</li>\n<li>Time-to-list (inspection to live listing)</li>\n<li>Move-in readiness rate and failed move-in rate</li>\n<li>Human escalation rate as a quality signal on agent confidence calibration</li>\n</ul>\n<p>Who You Are</p>\n<ul>\n<li>AI systems thinker. You do not think about AI features. You think about AI systems: input context, output quality, fallback behavior, quality measurement, and continuous improvement loops.</li>\n<li>Operationally grounded. You have worked in environments where things break in the real world, with real vendors, real homes, real members, and you understand that an agent operating without the right context is more dangerous than no agent at all.</li>\n<li>Outcome obsessed. You hold deflection rate and CSAT simultaneously. You do not celebrate automation that degrades experience.</li>\n<li>Technically fluent. You can write a SQL query, read a vector similarity result, reason about retrieval quality, and understand the tradeoffs in a prompt engineering decision.</li>\n<li>Cross-functional driver. Operations, Homecare, Leasing, Vendor Ops, and Engineering all touch your surface. You run the rituals, translate across languages, and hold the delivery cadence.</li>\n</ul>\n<p>What You Bring</p>\n<ul>\n<li>3 to 5 years of product experience, with at least 1 to 2 years directly building or operating AI-powered products in a production environment</li>\n<li>Hands-on experience with LLM integrations, prompt engineering, RAG pipelines, or agentic workflow design</li>\n<li>Demonstrated ownership of operational tooling or service orchestration products in a marketplace, logistics, or operations-intensive environment</li>\n<li>Proficiency with data: SQL, funnel analysis, and the ability to detect when a metric is being gamed or misread</li>\n<li>Experience with AI evaluation frameworks and output quality measurement is a strong advantage</li>\n<li>Prior work in consumer real estate, hospitality, or residential services is a plus</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_8db20763-21b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Belong","sameAs":"https://www.belong.com/","logo":"https://logos.yubhub.co/belong.com.png"},"x-apply-url":"https://jobs.lever.co/belong/12878464-3397-4603-91fd-a4645ee06afe","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI systems thinking","LLM-powered workflows","Agentic scheduling and coordination workflows","Automated escalation routing","Quality scoring and anomaly detection","Retrieval-augmented generation","SQL","Funnel analysis","Data analysis","Prompt engineering","RAG pipelines","Agentic workflow design","Operational tooling","Service orchestration","Consumer real estate","Hospitality","Residential services"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:27:01.211Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI systems thinking, LLM-powered workflows, Agentic scheduling and coordination workflows, Automated escalation routing, Quality scoring and anomaly detection, Retrieval-augmented generation, SQL, Funnel analysis, Data analysis, Prompt engineering, RAG pipelines, Agentic workflow design, Operational tooling, Service orchestration, Consumer real estate, Hospitality, Residential services"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f160b80e-77d"},"title":"eCommerce Data Analyst","description":"<p>We are seeking a highly analytical and impact-driven eCommerce Data Analyst to join our global eCommerce team. This role sits at the intersection of customer behavior, digital experience, and revenue performance, transforming data into actionable insights that drive growth across our websites.</p>\n<p>You will analyze full-funnel customer journeys across web, marketing, and CRM touchpoints, leveraging modern analytics platforms, cloud data warehouses, and A/B testing. The ideal candidate thrives in close collaboration with marketing, webstore, product, and engineering teams.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Leverage CDP and first-party data to build customer segments, cohorts, and lifecycle views, partnering with marketing and CRM teams to support audience activation, personalization, and campaign optimization.</li>\n<li>Conduct in-depth analysis of website traffic, user behavior, and eCommerce performance to identify trends, opportunities, and risks across the full customer funnel.</li>\n<li>Ideate, support, and analyze A/B and multivariate experiments, defining success metrics, interpreting results with statistical rigor, and recommending next steps based on business impact.</li>\n<li>Collaborate with cross-functional teams (marketing, webstore, product, and engineering) to develop and execute data-driven strategies for web and eCommerce initiatives.</li>\n<li>Define and document event tracking and measurement requirements aligned with business objectives, ensuring accurate and scalable data collection.</li>\n<li>Monitor and report on the effectiveness of promotional activities, marketing initiatives, and website performance, translating results into actionable insights.</li>\n<li>Build and maintain automated dashboards and self-service reporting, communicating insights through clear narratives, visualizations, and executive-ready summaries that proactively surface opportunities and risks.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>3+ years of experience in Commerce, web, or digital analytics</li>\n<li>Bachelor’s degree in Data Science, Statistics, Economics, Business Information Systems, or a related field.</li>\n<li>Proven experience analyzing consumer-facing digital products or eCommerce platforms.</li>\n<li>Strong understanding of eCommerce KPIs, digital marketing metrics, and customer lifecycle measurement.</li>\n<li>Must have hands-on experience with SQL, cloud data warehouse (e.g Snowflake), GA4, CDP (such as mParticle).</li>\n<li>Experience working with large, complex, and multi-source datasets.</li>\n<li>Excellent data visualization skills (Looker Studio, PowerBi) and ability to communicate complex insights effectively.</li>\n<li>Strong attention to detail and ability to manage multiple projects simultaneously.</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience with AI-assisted analytics, forecasting, or anomaly detection.</li>\n<li>Knowledge of product analytics, personalization, or recommendation systems.</li>\n<li>Exposure to server-side tracking, event schemas, and data contracts.</li>\n<li>Experience working in global or multi-region eCommerce environments.</li>\n<li>AI-ecommerce experience</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_f160b80e-77d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Corsair","sameAs":"https://www.corsair.com/","logo":"https://logos.yubhub.co/corsair.com.png"},"x-apply-url":"https://edix.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/8662","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$75,000—$110,000 USD","x-skills-required":["SQL","cloud data warehouse","GA4","CDP","data visualization","data analysis","A/B testing","multivariate experiments"],"x-skills-preferred":["AI-assisted analytics","forecasting","anomaly detection","product analytics","personalization","recommendation systems","server-side tracking","event schemas","data contracts"],"datePosted":"2026-03-10T13:05:43.510Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Milpitas, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, cloud data warehouse, GA4, CDP, data visualization, data analysis, A/B testing, multivariate experiments, AI-assisted analytics, forecasting, anomaly detection, product analytics, personalization, recommendation systems, server-side tracking, event schemas, data contracts","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":75000,"maxValue":110000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c7c89bef-527"},"title":"FBS Functional Operations Manager","description":"<p><strong>FBS Functional Operations Manager at Capgemini</strong></p>\n<p><strong>Team Function:</strong></p>\n<p>The CAS (Customer Agent Solutions) Digital Service Operations team manages the E2E digital service operations for all digital channels. The team collaborates with multiple cross-functional teams and bridges the gap between strategic goals and daily execution by day-to-day management of performance monitoring, defect management, optimization testing, infra and capabilities functions to ensure operations delivers on its daily/weekly/monthly handling objectives. Works as liaison between product and technology operations to reach the forecasted KPI targets for digital service customer experiences.</p>\n<p><strong>Role Description:</strong></p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p>As a Digital Product Operations Manager, you will:</p>\n<ul>\n<li>Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.</li>\n</ul>\n<ul>\n<li>Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.</li>\n</ul>\n<ul>\n<li>Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.</li>\n</ul>\n<ul>\n<li>Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.</li>\n</ul>\n<ul>\n<li>Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.</li>\n</ul>\n<ul>\n<li>Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.</li>\n</ul>\n<ul>\n<li>Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.</li>\n</ul>\n<ul>\n<li>Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.</li>\n</ul>\n<ul>\n<li>Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.</li>\n</ul>\n<ul>\n<li>Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.</li>\n</ul>\n<ul>\n<li>Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.</li>\n</ul>\n<ul>\n<li>Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.</li>\n</ul>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.</li>\n</ul>\n<ul>\n<li>Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.</li>\n</ul>\n<ul>\n<li>Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.</li>\n</ul>\n<ul>\n<li>Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.</li>\n</ul>\n<ul>\n<li>Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.</li>\n</ul>\n<ul>\n<li>Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.</li>\n</ul>\n<p><strong>Experience &amp; Education Requirements:</strong></p>\n<ul>\n<li>Overall experience &gt;8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.</li>\n</ul>\n<ul>\n<li>Advanced project and process management experience. Agile preferred.</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s degree preferred in Technology, Mathematics, Statistics, Business, or related field.</li>\n</ul>\n<ul>\n<li>Master’s degree preferred in Management, Analytics, Artificial Intelligence.</li>\n</ul>\n<ul>\n<li>Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).</li>\n</ul>\n<ul>\n<li>Background or coursework in AI, machine learning, data science, or human-centered AI preferred.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.</li>\n</ul>\n<p><strong>Other Critical Skills:</strong></p>\n<ul>\n<li>Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.</li>\n</ul>\n<ul>\n<li>Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.</li>\n</ul>\n<ul>\n<li>Strong understanding of AI ethics, governance, and responsible AI frameworks.</li>\n</ul>\n<ul>\n<li>Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.</li>\n</ul>\n<ul>\n<li>Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.</li>\n</ul>\n<ul>\n<li>Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.</li>\n</ul>\n<ul>\n<li>Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.</li>\n</ul>\n<p><strong>Software / Tool Skills:</strong></p>\n<ul>\n<li>Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).</li>\n</ul>\n<ul>\n<li>Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.</li>\n</ul>\n<ul>\n<li>Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.</li>\n</ul>\n<ul>\n<li>Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.</li>\n</ul>\n<ul>\n<li>Good proficiency or practical experience of A/B Testing tools.</li>\n</ul>\n<ul>\n<li>Agile tools such as Jira, Rally etc.</li>\n</ul>\n<ul>\n<li>Understanding of Contact center and CMS tools.</li>\n</ul>\n<ul>\n<li>Excel - Intermediate/Advanced. Proficiency in Microsoft 365</li>\n</ul>\n<ul>\n<li>Power BI (Highly Preferred)</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<p>Must to have Skiils:</p>\n<ul>\n<li>Digital Performance monitoring</li>\n<li>Data analytics &amp; visualization</li>\n<li>Predictive Analytics &amp; Infrastructure scaling</li>\n<li>Crash/Anomaly Detection</li>\n<li>Bundle Optimization</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<p>Competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n</ol>\n<ol>\n<li>Comprehensive benefits package</li>\n</ol>\n<ol>\n<li>Career development and training opportunities</li>\n</ol>\n<ol>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n</ol>\n<ol>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n</ol>\n<ol>\n<li>Private Health Insurance</li>\n</ol>\n<ol>\n<li>Pension Plan</li>\n</ol>\n<ol>\n<li>Paid Time Off</li>\n</ol>\n<ol>\n<li>Training &amp; Development</li>\n</ol>\n<p>Note: Benefits differ based on employee level.</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_c7c89bef-527","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/3ATK6bMnNh42MtZTfvUHMj/hybrid-fbs-functional-operations-manager-in-hyderabad-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Digital Performance monitoring","Data analytics & visualization","Predictive Analytics & Infrastructure scaling","Crash/Anomaly Detection","Bundle Optimization"],"x-skills-preferred":["GenAI tools","Conversational AI platforms","AI-assisted productivity solutions","Tableau","Microsoft Excel","Microsoft Office","Power BI"],"datePosted":"2026-03-09T17:06:27.438Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Digital Performance monitoring, Data analytics & visualization, Predictive Analytics & Infrastructure scaling, Crash/Anomaly Detection, Bundle Optimization, GenAI tools, Conversational AI platforms, AI-assisted productivity solutions, Tableau, Microsoft Excel, Microsoft Office, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18c5b2e6-f69"},"title":"FBS Operations Analyst II - CMS & Messaging/Martech","description":"<p><strong>Role Description</strong></p>\n<p>You will operate at the intersection of digital operations, customer experience, and AI-powered transformation. This role helps drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.</li>\n<li>Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.</li>\n<li>Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.</li>\n<li>Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.</li>\n<li>Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.</li>\n<li>Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.</li>\n<li>Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.</li>\n<li>Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.</li>\n<li>Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.</li>\n<li>Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.</li>\n<li>Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.</li>\n<li>Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.</li>\n</ul>\n<p><strong>Experience &amp; Education Requirements</strong></p>\n<ul>\n<li>Overall experience &gt;4-6 years, 2+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2+ years of combined experience required in analytics, performance reporting, and/or process improvement.</li>\n<li>Advanced project and process management experience. Agile preferred.</li>\n<li>Bachelor&#39;s degree preferred in Technology, Mathematics, Statistics, Business, or related field.</li>\n<li>Master’s degree preferred in Management, Analytics, Artificial Intelligence.</li>\n<li>Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).</li>\n<li>Background or coursework in AI, machine learning, data science, or human-centered AI preferred.</li>\n<li>Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.</li>\n<li>Availability to work in PST time zone.</li>\n</ul>\n<p><strong>Other Critical Skills</strong></p>\n<ul>\n<li>Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.</li>\n<li>Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.</li>\n<li>Strong understanding of AI ethics, governance, and responsible AI frameworks.</li>\n<li>Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.</li>\n<li>Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.</li>\n<li>Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.</li>\n<li>Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.</li>\n</ul>\n<p><strong>Software / Tool Skills</strong></p>\n<ul>\n<li>Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).</li>\n<li>Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.</li>\n<li>Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.</li>\n<li>Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.</li>\n<li>Good proficiency or practical experience of A/B Testing tools.</li>\n<li>Agile tools such as Jira, Rally etc.</li>\n<li>Understanding of Contact center and CMS tools.</li>\n<li>Excel - Intermediate/Advanced. Proficiency in Microsoft 365</li>\n<li>Power BI (Highly Preferred)</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Content Management Systems</li>\n<li>Messaging Platforms</li>\n<li>Workflow optimization</li>\n<li>Hyper-personalization</li>\n<li>Data-integrity &amp; troubleshooting</li>\n<li>Performance reporting</li>\n<li>Agile</li>\n<li>Stakeholder communication</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits package:</li>\n</ul>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p>Note: Benefits differ based on employee level.</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_18c5b2e6-f69","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/jzRGy7NsiN8THFCo27JNdX/hybrid-fbs-operations-analyst-ii---cms-%26-messaging%2Fmartech-in-hyderabad-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Content Management Systems","Messaging Platforms","Workflow optimization","Hyper-personalization","Data-integrity & troubleshooting","Performance reporting","Agile","Stakeholder communication"],"x-skills-preferred":["GenAI tools","Conversational AI platforms","AI-assisted productivity solutions","Anomaly detection","Clustering","Predictive scoring","AI ethics","Governance","Responsible AI frameworks","Tableau","Microsoft Excel","Microsoft Office","Power BI"],"datePosted":"2026-03-09T17:04:14.445Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Content Management Systems, Messaging Platforms, Workflow optimization, Hyper-personalization, Data-integrity & troubleshooting, Performance reporting, Agile, Stakeholder communication, GenAI tools, Conversational AI platforms, AI-assisted productivity solutions, Anomaly detection, Clustering, Predictive scoring, AI ethics, Governance, Responsible AI frameworks, Tableau, Microsoft Excel, Microsoft Office, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_edeb89b0-522"},"title":"FBS Senior Operations Analyst","description":"<p><strong>Role Description</strong></p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.</li>\n<li>Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.</li>\n<li>Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.</li>\n<li>Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.</li>\n<li>Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.</li>\n<li>Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.</li>\n</ul>\n<p><strong>Experience &amp; Education Requirements</strong></p>\n<ul>\n<li>Overall experience &gt; 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.</li>\n<li>Advanced project and process management experience. Agile preferred.</li>\n<li>Bachelor&#39;s degree preferred in Technology, Mathematics, Statistics, Business, or related field.</li>\n<li>Master’s degree preferred in Management, Analytics, Artificial Intelligence.</li>\n<li>Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).</li>\n<li>Background or coursework in AI, machine learning, data science, or human-centered AI preferred.</li>\n<li>Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.</li>\n</ul>\n<p><strong>Other Critical Skills</strong></p>\n<ul>\n<li>Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.</li>\n<li>Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.</li>\n<li>Strong understanding of AI ethics, governance, and responsible AI frameworks.</li>\n<li>Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.</li>\n<li>Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.</li>\n<li>Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.</li>\n<li>Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.</li>\n</ul>\n<p><strong>Software / Tool Skills</strong></p>\n<ul>\n<li>Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).</li>\n<li>Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.</li>\n<li>Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.</li>\n<li>Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.</li>\n<li>Good proficiency or practical experience of A/B Testing tools.</li>\n<li>Agile tools such as Jira, Rally etc.</li>\n<li>Understanding of Contact center and CMS tools.</li>\n<li>Excel - Intermediate/Advanced. Proficiency in Microsoft 365</li>\n<li>Power BI (Highly Preferred)</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Optimization Testing ( A/B Testing )</li>\n<li>Multivariate testing</li>\n<li>Personalization</li>\n<li>Digital Workflow optimization</li>\n<li>Stakeholder collaboration</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits package:</li>\n</ul>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p>Note: Benefits differ based on employee level.</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_edeb89b0-522","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/wewvUzCGbhKW8iLjEf3k3X/hybrid-fbs-senior-operations-analyst-in-pune-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Automation","Predictive Analytics","GenAI","Intelligent Routing","Automated Troubleshooting","A/B Testing","Multivariate Testing","Personalization","Digital Workflow Optimization","Stakeholder Collaboration","Agile","Tableau","Microsoft Excel","Microsoft Office","PowerPoint","Qualtrics","Fullstory","Mixpanel","Jira","Rally","Contact Center","CMS","Power BI"],"x-skills-preferred":["GenAI tools","Conversational AI platforms","AI-assisted productivity solutions","Anomaly detection","Clustering","Predictive scoring","AI ethics","Governance","Responsible AI frameworks","Human-centered AI"],"datePosted":"2026-03-09T17:03:13.041Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"AI, Machine Learning, Automation, Predictive Analytics, GenAI, Intelligent Routing, Automated Troubleshooting, A/B Testing, Multivariate Testing, Personalization, Digital Workflow Optimization, Stakeholder Collaboration, Agile, Tableau, Microsoft Excel, Microsoft Office, PowerPoint, Qualtrics, Fullstory, Mixpanel, Jira, Rally, Contact Center, CMS, Power BI, GenAI tools, Conversational AI platforms, AI-assisted productivity solutions, Anomaly detection, Clustering, Predictive scoring, AI ethics, Governance, Responsible AI frameworks, Human-centered AI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_62a20ab2-724"},"title":"FBS Operations Analyst II - CMS & Messaging/Martech","description":"<p><strong>Role Description</strong></p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.</li>\n<li>Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.</li>\n<li>Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.</li>\n<li>Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.</li>\n<li>Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.</li>\n<li>Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.</li>\n</ul>\n<p><strong>Experience &amp; Education Requirements</strong></p>\n<ul>\n<li>Overall experience &gt;4-6 years, 2+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2+ years of combined experience required in analytics, performance reporting, and/or process improvement.</li>\n<li>Advanced project and process management experience. Agile preferred.</li>\n<li>Bachelor&#39;s degree preferred in Technology, Mathematics, Statistics, Business, or related field.</li>\n<li>Master’s degree preferred in Management, Analytics, Artificial Intelligence.</li>\n<li>Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).</li>\n<li>Background or coursework in AI, machine learning, data science, or human-centered AI preferred.</li>\n<li>Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.</li>\n</ul>\n<p><strong>Other Critical Skills</strong></p>\n<ul>\n<li>Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.</li>\n<li>Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.</li>\n<li>Strong understanding of AI ethics, governance, and responsible AI frameworks.</li>\n<li>Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.</li>\n<li>Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.</li>\n<li>Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.</li>\n<li>Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.</li>\n</ul>\n<p><strong>Software / Tool Skills</strong></p>\n<ul>\n<li>Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).</li>\n<li>Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.</li>\n<li>Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.</li>\n<li>Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.</li>\n<li>Good proficiency or practical experience of A/B Testing tools.</li>\n<li>Agile tools such as Jira, Rally etc.</li>\n<li>Understanding of Contact center and CMS tools.</li>\n<li>Excel - Intermediate/Advanced. Proficiency in Microsoft 365</li>\n<li>Power BI (Highly Preferred)</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Content Management Systems</li>\n<li>Messaging Platforms</li>\n<li>Workflow optimization</li>\n<li>Hyper-personalization</li>\n<li>Data-integrity &amp; troubleshooting</li>\n<li>Performance reporting</li>\n<li>Agile</li>\n<li>Stakeholder communication</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits package:</li>\n</ul>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p>Note: Benefits differ based on employee level.</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_62a20ab2-724","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/iVT16xRM5gZjm4d8CizJJa/hybrid-fbs-operations-analyst-ii---cms-%26-messaging%2Fmartech-in-pune-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Content Management Systems","Messaging Platforms","Workflow optimization","Hyper-personalization","Data-integrity & troubleshooting","Performance reporting","Agile","Stakeholder communication"],"x-skills-preferred":["GenAI tools","Conversational AI platforms","AI-assisted productivity solutions","Anomaly detection","Clustering","Predictive scoring","AI ethics","Governance","Responsible AI frameworks","Tableau","Microsoft Excel","Microsoft Office","Jira","Rally","Contact center","CMS tools","Power BI"],"datePosted":"2026-03-09T17:02:46.209Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Content Management Systems, Messaging Platforms, Workflow optimization, Hyper-personalization, Data-integrity & troubleshooting, Performance reporting, Agile, Stakeholder communication, GenAI tools, Conversational AI platforms, AI-assisted productivity solutions, Anomaly detection, Clustering, Predictive scoring, AI ethics, Governance, Responsible AI frameworks, Tableau, Microsoft Excel, Microsoft Office, Jira, Rally, Contact center, CMS tools, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_672f796a-25a"},"title":"FBS Functional Operations Manager","description":"<p><strong>Role Description</strong></p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.</li>\n<li>Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.</li>\n<li>Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.</li>\n<li>Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.</li>\n<li>Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.</li>\n<li>Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.</li>\n<li>Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.</li>\n<li>Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.</li>\n<li>Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.</li>\n<li>Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.</li>\n<li>Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.</li>\n<li>Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.</li>\n</ul>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.</li>\n<li>Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.</li>\n<li>Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.</li>\n<li>Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.</li>\n<li>Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.</li>\n<li>Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.</li>\n</ul>\n<p><strong>Experience &amp; Education Requirements</strong></p>\n<ul>\n<li>Overall experience &gt;8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.</li>\n<li>Advanced project and process management experience. Agile preferred.</li>\n<li>Bachelor&#39;s degree preferred in Technology, Mathematics, Statistics, Business, or related field.</li>\n<li>Master’s degree preferred in Management, Analytics, Artificial Intelligence.</li>\n<li>Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).</li>\n<li>Background or coursework in AI, machine learning, data science, or human-centered AI preferred.</li>\n<li>Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.</li>\n<li>Availability to work in PST time zone.</li>\n</ul>\n<p><strong>Other Critical Skills</strong></p>\n<ul>\n<li>Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.</li>\n<li>Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.</li>\n<li>Strong understanding of AI ethics, governance, and responsible AI frameworks.</li>\n<li>Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.</li>\n<li>Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.</li>\n<li>Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.</li>\n<li>Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.</li>\n</ul>\n<p><strong>Software / Tool Skills</strong></p>\n<ul>\n<li>Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).</li>\n<li>Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.</li>\n<li>Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.</li>\n<li>Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.</li>\n<li>Good proficiency or practical experience of A/B Testing tools.</li>\n<li>Agile tools such as Jira, Rally etc.</li>\n<li>Understanding of Contact center and CMS tools.</li>\n<li>Excel - Intermediate/Advanced. Proficiency in Microsoft 365</li>\n<li>Power BI (Highly Preferred)</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p>Note: Benefits differ based on employee level.</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_672f796a-25a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/wngXBGNHiynMbibPgMUqGs/hybrid-fbs-functional-operations-manager-in-pune-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Digital Performance monitoring","Data analytics & visualization","Predictive Analytics & Infrastructure scaling","Crash/Anomaly Detection","Bundle Optimization"],"x-skills-preferred":["GenAI tools","Conversational AI platforms","AI-assisted productivity solutions","Tableau","Microsoft Excel","Microsoft Office","Power BI"],"datePosted":"2026-03-09T17:02:38.375Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Digital Performance monitoring, Data analytics & visualization, Predictive Analytics & Infrastructure scaling, Crash/Anomaly Detection, Bundle Optimization, GenAI tools, Conversational AI platforms, AI-assisted productivity solutions, Tableau, Microsoft Excel, Microsoft Office, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3e70468c-037"},"title":"FBS Operations Analyst III","description":"<p>You will be working in the CAS (Customer Agent Solutions) Digital Service Operations team, which manages the E2E digital service operations for all digital channels. The team collaborates with multiple cross-functional teams and bridges the gap between strategic goals and daily execution by day-to-day management of performance monitoring, defect management, optimization testing, infra and capabilities functions to ensure operations delivers on its daily/weekly/monthly handling objectives.</p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p>As a Digital Product Operations Manager, you will:</p>\n<ul>\n<li>Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.</li>\n<li>Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.</li>\n<li>Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.</li>\n<li>Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.</li>\n<li>Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.</li>\n<li>Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.</li>\n<li>Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.</li>\n<li>Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.</li>\n<li>Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.</li>\n<li>Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.</li>\n<li>Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.</li>\n<li>Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.</li>\n</ul>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.</li>\n<li>Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.</li>\n<li>Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.</li>\n<li>Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.</li>\n<li>Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.</li>\n<li>Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.</li>\n</ul>\n<p>Experience &amp; Education Requirements:</p>\n<ul>\n<li>Overall experience &gt; 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.</li>\n<li>Advanced project and process management experience. Agile preferred.</li>\n<li>Bachelor&#39;s degree preferred in Technology, Mathematics, Statistics, Business, or related field.</li>\n<li>Master’s degree preferred in Management, Analytics, Artificial Intelligence.</li>\n<li>Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).</li>\n<li>Background or coursework in AI, machine learning, data science, or human-centered AI preferred.</li>\n<li>Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.</li>\n<li>Availability to work in PST time zone.</li>\n</ul>\n<p>Other Critical Skills:</p>\n<ul>\n<li>Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.</li>\n<li>Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.</li>\n<li>Strong understanding of AI ethics, governance, and responsible AI frameworks.</li>\n<li>Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.</li>\n<li>Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.</li>\n<li>Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.</li>\n<li>Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. 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This is a new role that will transform how we manage and process high quality data at scale and reflects our commitment to invest in an Enterprise Data Platform to unlock our data strategy for BlackRock and our Aladdin Client Community.</p>\n<p><strong>Key responsibilities</strong></p>\n<p>The ideal candidate will be a high-energy, technology and data driven individual who has a track record of leading and doing the day to day operations.</p>\n<ul>\n<li>Ensure on time high quality data delivery with a single pane of glass for data pipeline observability and support</li>\n<li>Live and breathe best practices of data ops such as culture, processes and technology</li>\n<li>Partner cross-functionally to enhance existing data sets, eliminating manual inputs and ensuring high quality, and onboarding new data sets</li>\n<li>Lead change while ensuring daily operational excellence, quality, and control</li>\n<li>Build and maintain deep alignment with key internal partners on ops tooling and engineering</li>\n<li>Foster an agile collaborative culture which is creative open, supportive, and dynamic</li>\n</ul>\n<p><strong>Knowledge and Experience</strong></p>\n<ul>\n<li>8+ years’ experience in hands-on data operations including data pipeline monitoring and engineering</li>\n<li>Technical expert including experience with data processing, orchestration (Airflow) data ingestion, cloud-based databases/warehousing (Snowflake) and business intelligence tools</li>\n<li>Champion the adoption of AI-enabled capabilities across Data Operations, including anomaly detection, predictive issue management, and automated operational insights to improve resilience, scale, and client experience.</li>\n<li>The ability to operate and monitor large data sets through the data lifecycle, including the tooling and observability required to ensure data quality and control at scale</li>\n<li>Experience implementing, monitoring, and operating data pipelines that are fast, scalable, reliable, and accurate</li>\n<li>Understanding of modern-day data highways, the associated challenges, and effective controls</li>\n<li>Passionate about data platforms, data quality and everything data</li>\n<li>Practical and detailed oriented operations leader</li>\n<li>Inquisitive leader who will bring new ideas that challenge the status quo</li>\n<li>Ability to navigate a large, highly matrixed organization</li>\n<li>Strong presence with clients</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 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 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_591c2b45-829","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/szVvonyUEuyEFVfTxyXWtS/data-ops%2C-vice-president-in-edinburgh-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data operations","data pipeline monitoring","data ingestion","cloud-based databases","business intelligence tools","Airflow","Snowflake"],"x-skills-preferred":["AI-enabled capabilities","anomaly detection","predictive issue management","automated operational insights"],"datePosted":"2026-03-09T16:43:27.322Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edinburgh, Scotland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"data operations, data pipeline monitoring, data ingestion, cloud-based databases, business intelligence tools, Airflow, Snowflake, AI-enabled capabilities, anomaly detection, predictive issue management, automated operational insights"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_15b631cd-e96"},"title":"Director - Vehicle and Connected Services Monitoring","description":"<p><strong>Director - Vehicle and Connected Services Monitoring</strong></p>\n<p>This leadership role within the Vehicle and Connected Cybersecurity organization is responsible for leading the &quot;eyes and ears&quot; of the company. You will lead a global team of experts tasked with monitoring trillions of signals from vehicle telematics, embedded systems, and cloud-native application stacks, ensuring that millions of connected vehicles and the cloud services that power them are continuously protected against sophisticated global threats.</p>\n<p>Your mandate covers the entire lifecycle of a threat—from proactive intelligence gathering and managing global bug bounty programs to real-time detection engineering and high-stakes incident response. As a key leader in the Ford+ transformation, you will bridge the gap between Product Development, Model e, Ford Pro, and Enterprise IT to ensure a unified, world-class defense posture.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Global Vehicle &amp; Application Monitoring (VSOC/ASOC Operations):</strong></p>\n<p>Directing 24/7 monitoring for Ford’s global connected fleet and digital services, ensuring operational excellence with high-fidelity visibility across geographies, and overseeing the analysis of vast signals from vehicle telematics, embedded systems, and cloud-native applications.</p>\n<p><strong>Analysis &amp; Incident Response (CIRT Partnership):</strong></p>\n<p>Serving as the primary executive lead for security incidents involving vehicles or connected services, partnering with the corporate Incident Response Team (CIRT), directing forensic analysis on vehicle-specific protocols (CAN, Automotive Ethernet) and cloud/mobile application stacks, and developing rapid-response playbooks including Over-the-Air (OTA) security mitigations.</p>\n<p><strong>Monitoring Development &amp; Detection Engineering:</strong></p>\n<p>Leading teams to build advanced detection logic, behavioral heuristics, and Machine Learning (ML) models for automotive attack patterns, driving the implementation of Security Orchestration, Automation, and Response (SOAR) platforms, and integrating data science for anomaly detection.</p>\n<p><strong>Product Threat Intelligence:</strong></p>\n<p>Building and leading a dedicated capability to track threat actors targeting the automotive sector, EV charging infrastructure, and fleet management tools, translating intelligence into proactive defense strategies, and representing Ford in industry forums like Auto-ISAC.</p>\n<p><strong>Threat Hunting &amp; Bug Bounty Program:</strong></p>\n<p>Leading a specialized hunt team to identify hidden threats and vulnerabilities, overseeing Ford’s Coordinated Vulnerability Disclosure (CVD) and Bug Bounty programs, and aligning insights with internal red-teaming and secure-coding priorities.</p>\n<p><strong>Executive Leadership &amp; Qualifications:</strong></p>\n<p>Defining and executing a global monitoring roadmap aligned with Ford’s software-centric transition, acting as the primary authority for operational cyber risks, leading and mentoring a global organization, and influencing cross-functional partners</p>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li><strong>Education:</strong> Bachelor’s degree in Computer Science, Cybersecurity, or Engineering (Master’s or PhD highly preferred).</li>\n<li><strong>Experience:</strong> 15+ years in Cybersecurity, with at least 7 years in a senior leadership role overseeing large-scale SOC or Incident Response organizations.</li>\n<li><strong>Technical Depth:</strong> Deep understanding of SOC operations, threat intelligence frameworks (MITRE ATT&amp;CK), and automotive-specific security challenges.</li>\n<li><strong>Executive Presence:</strong> Proven ability to manage high-pressure security incidents and communicate complex technical risks to non-technical stakeholders.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>You may not check every box, or your experience may look a little different from what we&#39;ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p>\n<p>As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:</p>\n<ul>\n<li>Immediate medical, dental, vision and prescription drug coverage</li>\n</ul>\n<ul>\n<li>Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more</li>\n</ul>\n<ul>\n<li>Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more</li>\n</ul>\n<ul>\n<li>Vehicle discount program for employees and family members and management leases</li>\n</ul>\n<ul>\n<li>Tuition assistance</li>\n</ul>\n<ul>\n<li>Established and active employee resource groups</li>\n</ul>\n<ul>\n<li>Paid time off for individual and team community service</li>\n</ul>\n<ul>\n<li>A generous schedule of paid holidays, including the week between Christmas and New Year’s Day</li>\n</ul>\n<ul>\n<li>Paid time off and the option to purchase additional vacation time.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>This position is leadership level 5 and ranges from $138,240-261,720.</p>\n<p>Final determination of salary grade will be based on candidate&#39;s skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.</p>\n<p>For more information on salary and benefits, click here: https://fordcareers.co/LL5</p>\n<p><strong>Visa Sponsorship</strong></p>\n<p>Visa sponsorship is not available for this position.</p>\n<p><strong>Equal Opportunity Employer</strong></p>\n<p>Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.</p>\n<p>We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.</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_15b631cd-e96","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://efds.fa.em5.oraclecloud.com"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/59812","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$138,240-261,720","x-skills-required":["Cybersecurity","SOC operations","Threat intelligence frameworks","Automotive-specific security challenges","Machine Learning","Security Orchestration, Automation, and Response","Data science","Anomaly detection","Forensic analysis","Incident response","Bug bounty programs","Coordinated Vulnerability Disclosure","Red-teaming","Secure-coding"],"x-skills-preferred":[],"datePosted":"2026-03-09T11:04:41.073Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Cybersecurity, SOC operations, Threat intelligence frameworks, Automotive-specific security challenges, Machine Learning, Security Orchestration, Automation, and Response, Data science, Anomaly detection, Forensic analysis, Incident response, Bug bounty programs, Coordinated Vulnerability Disclosure, Red-teaming, Secure-coding","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":138240,"maxValue":261720,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f70dd4a2-526"},"title":"Staff+ Software Engineer, Observability","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organisation. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic&#39;s multi-cluster infrastructure</li>\n<li>Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth</li>\n<li>Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services</li>\n<li>Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise</li>\n<li>Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling</li>\n<li>Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure</li>\n<li>Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others</li>\n<li>Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale</li>\n<li>Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems</li>\n<li>Have strong proficiency in at least one of Python, Rust, or Go</li>\n<li>Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities</li>\n<li>Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)</li>\n<li>Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads</li>\n<li>Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies</li>\n<li>Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale</li>\n<li>Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling</li>\n<li>Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses.</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_f70dd4a2-526","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5139910008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$405,000 - $485,000 USD","x-skills-required":["observability","metrics","logging","tracing","error analytics","alerting","SLO infrastructure","cross-signal correlation","unified query interfaces","AI-assisted diagnostic tooling","Python","Rust","Go","Prometheus","Grafana","ClickHouse","OpenTelemetry"],"x-skills-preferred":["OpenTelemetry instrumentation","collector pipelines","tail-based sampling strategies","Kubernetes-native monitoring","eBPF-based observability","continuous profiling","AI/LLMs","automated root cause analysis","anomaly detection","intelligent alerting"],"datePosted":"2026-03-08T13:52:33.217Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"observability, metrics, logging, tracing, error analytics, alerting, SLO infrastructure, cross-signal correlation, unified query interfaces, AI-assisted diagnostic tooling, Python, Rust, Go, Prometheus, Grafana, ClickHouse, OpenTelemetry, OpenTelemetry instrumentation, collector pipelines, tail-based sampling strategies, Kubernetes-native monitoring, eBPF-based observability, continuous profiling, AI/LLMs, automated root cause analysis, anomaly detection, intelligent alerting","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_716d3247-e3f"},"title":"ML/Research Engineer, Safeguards","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the role</strong></p>\n<p>We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic&#39;s Responsible Scaling Policy commitments.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on</li>\n<li>Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts</li>\n<li>Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks</li>\n<li>Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry</li>\n<li>Have proficiency in Python and experience building ML systems</li>\n<li>Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems</li>\n<li>Are worried about misuse risks of AI systems, and want to work to mitigate them</li>\n<li>Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders</li>\n</ul>\n<p><strong>Strong candidates may also have experience with</strong></p>\n<ul>\n<li>Language modeling and transformers</li>\n<li>Building classifiers, anomaly detection systems, or behavioral ML</li>\n<li>Adversarial machine learning or red-teaming</li>\n<li>Interpretability or probes</li>\n<li>Reinforcement learning</li>\n<li>High-performance, large-scale ML systems</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></p>\n<p>We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong></p>\n<p>To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional</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_716d3247-e3f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4949336008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $500,000USD","x-skills-required":["Python","Machine Learning","Research Engineering","Adversarial Machine Learning","Red-teaming","Interpretability","Probes","Reinforcement Learning","High-performance, large-scale ML systems"],"x-skills-preferred":["Language modeling and transformers","Building classifiers, anomaly detection systems, or behavioral ML"],"datePosted":"2026-03-08T13:46:45.711Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, Research Engineering, Adversarial Machine Learning, Red-teaming, Interpretability, Probes, Reinforcement Learning, High-performance, large-scale ML systems, Language modeling and transformers, Building classifiers, anomaly detection systems, or behavioral ML","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6531d2dd-c1d"},"title":"Data Science Manager, Integrity","description":"<p><strong>Data Science Manager, Integrity</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$255K – $490K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance related bonus for eligible employees and benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p><strong>About the Team</strong></p>\n<p>Integrity Data Science sits at the centre of OpenAI’s mission to deploy powerful AI responsibly. We help ensure people can trust our products by building measurement systems, experimentation practices, and detection/mitigation strategies that protect OpenAI and our users from misuse, fraud, and evolving adversarial behaviours.</p>\n<p>As the scope and urgency of Integrity work expands across product surfaces and go-to-market motion, we’re hiring a dedicated Data Science Manager to scale the team, strengthen execution across multiple Integrity domains, and deepen partnership with Product, Engineering, Operations, and adjacent orgs (e.g., Growth, Ads).</p>\n<p>This role is based in our San Francisco HQ (in-office).</p>\n<p><strong>About the Role</strong></p>\n<p>As Data Science Manager, Integrity, you will lead a team of data scientists working across trust &amp; safety, fraud prevention, risk analysis, measurement, and modeling. You’ll be accountable for building a high-performing DS function that can keep pace with fast-moving threats—and for shaping the analytical strategy that informs how OpenAI detects, measures, and mitigates integrity risks at scale.</p>\n<p>This is a highly cross-functional leadership role. You’ll help set the roadmap with Integrity Product/Engineering leaders, evolve team structure and operating rhythms, raise the bar on technical rigor (experimentation, causal inference, modeling, metrics), and develop a culture of proactive, high-leverage impact. Many of the challenges in this space are emergent—new misuse patterns appear as the technology and ecosystem evolves—so this role requires strong judgment, comfort with ambiguity, and an ability to build systems that scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li><strong>Lead and scale</strong> a high-impact Integrity Data Science team—hiring, coaching, and developing DS ICs (and potentially future managers) while setting a strong technical and cultural bar.</li>\n</ul>\n<ul>\n<li><strong>Drive strategy across multiple Integrity domains</strong> (policy enforcement, bot detection, fraud prevention, IP theft, risk measurement, abuse prevention), balancing near-term response with durable systems.</li>\n</ul>\n<ul>\n<li><strong>Build and institutionalize analytical rigor</strong>: clear metric frameworks, experimentation standards, monitoring/alerting, and repeatable evaluation approaches for Integrity interventions.</li>\n</ul>\n<ul>\n<li><strong>Partner deeply with Product &amp; Engineering</strong> to shape roadmaps, prioritize the right bets, and translate ambiguous risk signals into practical product and platform decisions.</li>\n</ul>\n<ul>\n<li><strong>Evolve team structure and operating model</strong> as the org scales—defining ownership boundaries, improving processes, and creating leverage through better tooling and AI-assisted workflows.</li>\n</ul>\n<ul>\n<li><strong>Enable cross-org outcomes</strong>, supporting partners outside Integrity (e.g., Growth, Ads, GTM) where integrity risks intersect with product and business goals.</li>\n</ul>\n<ul>\n<li><strong>Communicate clearly with senior leadership</strong>, synthesizing complex tradeoffs, surfacing risk, and driving alignment on priorities and success metrics.</li>\n</ul>\n<ul>\n<li><strong>Push the team toward an AI-leveraged operating mode</strong>, using modern tooling and model capabilities to accelerate detection, triage, analysis, and iteration.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have deep experience leading and scaling Data Science teams, ideally in trust &amp; safety, fraud/abuse, security, risk, or other adversarial problem spaces in fast-moving environments.</li>\n</ul>\n<ul>\n<li>Bring strong technical grounding across modern DS techniques (experimentation, causal inference, anomaly detection, risk modeling, measurement design) and can coach others to execute with rigor.</li>\n</ul>\n<ul>\n<li>Have a track record of building durable partnerships across DS, Engineering, Product, and Operations—able to influence without authority and create shared accountability.</li>\n</ul>\n<ul>\n<li>Are excellent at hiring, mentoring, and developing technical talent, and can build a culture that is both high-bar and supportive.</li>\n</ul>\n<ul>\n<li>Can translate messy, evolving threats into clear frameworks, metrics, and decisions—</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_6531d2dd-c1d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/a10fac90-0639-4bfc-92b2-97b094f7edcb","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255K – $490K","x-skills-required":["Data Science","Machine Learning","Statistics","Programming","Experimentation","Causal Inference","Anomaly Detection","Risk Modeling","Measurement Design"],"x-skills-preferred":["Leadership","Communication","Collaboration","Problem-Solving","Adaptability","Emotional Intelligence"],"datePosted":"2026-03-06T18:28:16.332Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Machine Learning, Statistics, Programming, Experimentation, Causal Inference, Anomaly Detection, Risk Modeling, Measurement Design, Leadership, Communication, Collaboration, Problem-Solving, Adaptability, Emotional Intelligence","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":490000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_24556bdc-0a0"},"title":"Senior Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Senior Applied Scientist at their Redmond office. 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