{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/clustering"},"x-facet":{"type":"skill","slug":"clustering","display":"Clustering","count":12},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9dfc8dc1-ef4"},"title":"Senior Machine Learning Scientist","description":"<p>We are looking for a Senior Machine Learning Scientist to join our AI Group in Berlin. As a Senior Machine Learning Scientist, you will be responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers&#39; hands. You will work in partnership with Product and Design functions of teams we support. Our team&#39;s dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.</p>\n<p>Your responsibilities will include identifying areas where ML can create value for our customers, identifying the right ML framing of product problems, working with teammates and Product and Design stakeholders, conducting exploratory data analysis and research, deeply understanding the problem area, researching and identifying the right algorithms and tools, being pragmatic, but innovating right to the cutting-edge when needed, performing offline evaluation to gather evidence an algorithm will work, working with engineers to bring prototypes to production, planning, measuring &amp; socializing learnings to inform iteration, and partnering deeply with the rest of team, and others, to build excellent ML products.</p>\n<p>To be successful in this role, you will need to have broad applied machine learning knowledge, 3-5 years applied ML experience, practical stats knowledge (experiment design, dealing with confounding etc), intermediate programming skills, strong communication skills, both within engineering teams and across disciplines, comfort with ambiguity, typically have advanced education in ML or related field (e.g. MSc), and scientific thinking skills. Bonus skills and attributes include track record shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering, strong stats or math background, visualization, data skills, SQL, matplotlib, etc.</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_9dfc8dc1-ef4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7372016","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Broad applied machine learning knowledge","3-5 years applied ML experience","Practical stats knowledge (experiment design, dealing with confounding etc)","Intermediate programming skills","Strong communication skills, both within engineering teams and across disciplines"],"x-skills-preferred":["Track record shipping ML products","PhD or other experience in a research environment","Deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering","Strong stats or math background","Visualization, data skills, SQL, matplotlib, etc."],"datePosted":"2026-04-18T15:58:02.443Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Broad applied machine learning knowledge, 3-5 years applied ML experience, Practical stats knowledge (experiment design, dealing with confounding etc), Intermediate programming skills, Strong communication skills, both within engineering teams and across disciplines, Track record shipping ML products, PhD or other experience in a research environment, Deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering, Strong stats or math background, Visualization, data skills, SQL, matplotlib, etc."},{"@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. This role combines deep technical expertise with a forward-thinking, AI-first mindset, driving innovation, scalability, and reliability through advanced automation and intelligent testing strategies.</p>\n<p>As a senior member of the team, you will champion modern, AI-enhanced quality practices and help build a culture where continuous improvement, automation-first thinking, and data-driven decisions are embedded at every stage of product development. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.</p>\n<p>The base salary range for this full-time position is $210,000 to $257,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, and a learning and development stipend.</p>\n<p><strong>Quality Engineering &amp; Test</strong></p>\n<p>Own end-to-end quality across iOS and Android applications and their supporting backend services, ensuring high confidence in weekly (or faster) releases. Design and implement comprehensive test strategies covering:</p>\n<ul>\n<li>Native mobile applications (iOS &amp; Android)</li>\n<li>Mobile-to-backend integrations (REST APIs, auth flows, event-driven systems)</li>\n<li>Microservices and distributed systems</li>\n<li>Critical web workflows that intersect with mobile journeys</li>\n<li>Device, OS, browser, and network variability</li>\n<li>App lifecycle events, offline behavior, retries, and edge cases</li>\n</ul>\n<p>Ensure critical user journeys are validated across mobile UI → API → backend → web touchpoints, preventing production escapes in high-impact flows. Partner with engineering teams to embed quality gates into the mobile release lifecycle, including pre-merge validation, release candidate verification, and post-deploy smoke testing.</p>\n<p>Drive improvements in testability by introducing better logging, API contracts, observability hooks, feature flags, and deterministic state management. Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders.</p>\n<p>Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development.</p>\n<p><strong>AI-Driven Quality and Automation</strong></p>\n<p>Leverage AI to enhance mobile, backend, and web testing effectiveness, including:</p>\n<ul>\n<li>AI-assisted test case and test data generation</li>\n<li>Intelligent regression suite prioritization based on code changes</li>\n<li>Predictive defect detection and risk-based testing</li>\n<li>Flaky test detection and automated stabilization insights</li>\n</ul>\n<p>Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows. 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. Integrate automated validation into CI/CD pipelines (Jenkins, GitHub Actions, etc.) to enable:</p>\n<ul>\n<li>Pre-merge quality gates</li>\n<li>Parallelized execution</li>\n<li>Environment-aware test runs</li>\n<li>Post-deployment smoke and regression coverage</li>\n</ul>\n<p>Build developer-friendly tooling that enables:</p>\n<ul>\n<li>Self-service test execution</li>\n<li>Real-time reporting and dashboards</li>\n<li>Faster debugging and failure triage</li>\n<li>Scalable test data and environment management</li>\n</ul>\n<p>Continuously reduce flakiness, improve signal quality, and optimize execution time across mobile and backend suites.</p>\n<p><strong>Performance, Scalability &amp; Reliability</strong></p>\n<p>Design and execute performance validation across:</p>\n<ul>\n<li>Mobile app startup time and responsiveness</li>\n<li>API latency, throughput, and reliability</li>\n<li>Backend load and stress conditions</li>\n<li>Web performance for critical flows</li>\n</ul>\n<p>Partner with engineering teams to analyze production logs, crash reports, browser telemetry, and service metrics. 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_2bf2ef11-7d6"},"title":"Senior Backend Engineer, Data Modeling and Ingestion Platform","description":"<p>We are looking for a Senior Backend Engineer to lead the unification of large, highly rich, and heterogeneous datasets sourced from a wide range of external providers. These datasets are used to power our generative audio models.</p>\n<p>Your work will create the foundational dataset that powers our research by building robust, scalable systems for linking, deduplicating, reconciling, and enriching data at massive scale. This role centres on high-impact bulk ingestion and advanced data linkage. You will design the logic, algorithms, and strategies that transform many independent datasets into a unified, high-quality canonical asset used throughout the company.</p>\n<p>You will collaborate closely with ML researchers and product teams, working with tools such as BigQuery, Dataflow/Beam, TFRecords, and,where beneficial,distributed systems frameworks like Ray. Familiarity with ML workflows using JAX or multihost training is a plus, as the datasets you produce will directly support that ecosystem.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build high-throughput bulk ingestion workflows to integrate datasets from multiple external providers.</li>\n<li>Design and implement scalable entity-resolution solutions, including record linking, deduplication, clustering, and conflict arbitration.</li>\n<li>Create and refine matching logic, decision rules, and similarity functions to align datasets with high accuracy and strong coverage.</li>\n<li>Define and track data quality indicators, such as overlap metrics, match precision/recall, duplicate rates, and completeness.</li>\n<li>Prepare training-ready datasets in formats such as TFRecords, and structure data to meet ML research requirements.</li>\n<li>Develop processing components using Dataflow (Beam) and manage large analytical workloads in BigQuery.</li>\n<li>Leverage frameworks like Ray to accelerate large-scale experiments, feature extraction, and research-oriented data preparation.</li>\n<li>Collaborate with ML researchers to anticipate downstream requirements and evolve linkage strategies as new sources and use cases emerge.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Experience working with large, heterogeneous datasets from multiple providers or domains.</li>\n<li>Strong background in entity resolution, deduplication, data unification, or related large-scale data integration techniques.</li>\n<li>Proficiency in Python, with an emphasis on efficient, scalable data processing.</li>\n<li>Experience with BigQuery, Google Dataflow/Apache Beam, or similar batch-processing frameworks.</li>\n<li>Familiarity with data validation, normalization, reconciliation, and building consistent views across diverse data sources.</li>\n<li>Ability to craft well-structured matching and decision strategies that balance accuracy, completeness, and computational efficiency.</li>\n<li>Comfortable iterating quickly on pragmatic solutions, balancing correctness with time-to-delivery.</li>\n<li>Clear communication skills and the ability to collaborate closely with ML and research teams.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Knowledge of architecting Google Cloud Platform systems at scale.</li>\n<li>Experience with distributed compute frameworks such as Ray, Spark, or Flink.</li>\n<li>Understanding of JAX-based ML pipelines, multihost training setups, or large-scale data preparation for accelerator-backed workflows.</li>\n<li>Familiarity with TFRecords or other high-volume training data formats.</li>\n<li>Exposure to ranking, clustering, or statistical similarity modeling.</li>\n<li>Experience with Go, NextJS, and/or React Native to contribute to full-stack development.</li>\n</ul>\n<p>Why Join Us:</p>\n<ul>\n<li>You will design the core dataset that underpins our research, product development, and generative audio models.</li>\n<li>You&#39;ll work on large-scale data challenges that require creativity, algorithmic thinking, and engineering excellence.</li>\n<li>You&#39;ll join a small, fast-moving team where your decisions shape the direction of our data and research capabilities.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Highly competitive salary and equity.</li>\n<li>Quarterly productivity budget.</li>\n<li>Flexible time off.</li>\n<li>Fantastic office location in Manhattan.</li>\n<li>Productivity package, including ChatGPT Plus, Claude Code, and Copilot.</li>\n<li>Top-notch private health, dental, and vision insurance for you and your dependents.</li>\n<li>401(k) plan options with employer matching.</li>\n<li>Concierge medical/primary care through One Medical and Rightway.</li>\n<li>Mental health support from Spring Health.</li>\n<li>Personalized life insurance, travel assistance, and many other perks.</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_2bf2ef11-7d6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Udio","sameAs":"https://udio.com","logo":"https://logos.yubhub.co/udio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/udio/jobs/4988140008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000 - $220,000","x-skills-required":["Python","BigQuery","Dataflow/Beam","TFRecords","Ray","JAX","Multihost training","Entity resolution","Deduplication","Data unification","Large-scale data integration"],"x-skills-preferred":["Go","NextJS","React Native","Distributed compute frameworks","Ranking","Clustering","Statistical similarity modeling"],"datePosted":"2026-04-17T13:04:41.720Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, BigQuery, Dataflow/Beam, TFRecords, Ray, JAX, Multihost training, Entity resolution, Deduplication, Data unification, Large-scale data integration, Go, NextJS, React Native, Distributed compute frameworks, Ranking, Clustering, Statistical similarity modeling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":220000,"unitText":"YEAR"}}},{"@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_60f790ef-41b"},"title":"FBS Customer Experience Product Manager","description":"<p>The CAS (Customer Agent Solutions) Digital Service Operations team manages the E2E digital service operations for all digital channels. 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 Customer Experience Digital Operations Manager, you will 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. You will define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.</p>\n<p>You will drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback. You will manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.</p>\n<p>You will build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc. You will use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.</p>\n<p>You will partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution. You will apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.</p>\n<p>You will evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service. You will promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.</p>\n<p>You will lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations. You will support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.</p>\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;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>Requirements</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>Software / Tool Skills</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>Benefits</p>\n<ul>\n<li>Competitive compensation and benefits package:<ul>\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</ul>\n</li>\n</ul>\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_60f790ef-41b","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/712uuWyYnL8rF2P86WHiNR/hybrid-fbs-customer-experience-product-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":["AI","Machine Learning","Automation","Predictive Analytics","GenAI","Conversational AI","NLP","Clustering","Sentiment Analysis","Behavioral Modeling","Customer Experience","Digital Operations","Analytics","Data Science","Human-Centered AI","AI Ethics","Governance","Responsible AI","AI-Driven Decision Automation","Prioritization","Operational Strategies","Technical Aptitude","Tableau","Microsoft Excel","Microsoft Office","Verbal Communication","Listening Skills","Business Acumen","Cross-Functional Teams","Enterprise Stakeholders","Project Management","Agile","Jira","Rally","Contact Center","CMS","Excel","Microsoft 365","Power BI"],"x-skills-preferred":["AI/ML-driven platforms","Analytics tools","Conversational AI platforms","AI-assisted productivity solutions","GenAI tools","LLM-based experience analysis tools","NLP pipelines","Predictive analytics","Customer behavioral modeling","Human-centered AI","AI ethics","Governance","Responsible AI","AI-driven decision automation","Prioritization","Operational strategies","Technical aptitude","Tableau","Microsoft Excel","Microsoft Office","Verbal communication","Listening skills","Business acumen","Cross-functional teams","Enterprise stakeholders","Project management","Agile","Jira","Rally","Contact center","CMS","Excel","Microsoft 365","Power BI"],"datePosted":"2026-03-09T17:03:52.962Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"AI, Machine Learning, Automation, Predictive Analytics, GenAI, Conversational AI, NLP, Clustering, Sentiment Analysis, Behavioral Modeling, Customer Experience, Digital Operations, Analytics, Data Science, Human-Centered AI, AI Ethics, Governance, Responsible AI, AI-Driven Decision Automation, Prioritization, Operational Strategies, Technical Aptitude, Tableau, Microsoft Excel, Microsoft Office, Verbal Communication, Listening Skills, Business Acumen, Cross-Functional Teams, Enterprise Stakeholders, Project Management, Agile, Jira, Rally, Contact Center, CMS, Excel, Microsoft 365, Power BI, AI/ML-driven platforms, Analytics tools, Conversational AI platforms, AI-assisted productivity solutions, GenAI tools, LLM-based experience analysis tools, NLP pipelines, Predictive analytics, Customer behavioral modeling, Human-centered AI, AI ethics, Governance, Responsible AI, AI-driven decision automation, Prioritization, Operational strategies, Technical aptitude, Tableau, Microsoft Excel, Microsoft Office, Verbal communication, Listening skills, Business acumen, Cross-functional teams, Enterprise stakeholders, Project management, Agile, Jira, Rally, Contact center, CMS, Excel, Microsoft 365, 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_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. 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