{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/ai-platforms"},"x-facet":{"type":"skill","slug":"ai-platforms","display":"Ai Platforms","count":34},"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_0f6f3674-ac6"},"title":"Director, Enterprise Machine Learning & Research","description":"<p>The Enterprise ML team at Scale works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale&#39;s proprietary research, data, and infrastructure.</p>\n<p>As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.</p>\n<p>This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives</li>\n<li>Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution</li>\n<li>Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes</li>\n<li>Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally</li>\n<li>Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent</li>\n</ul>\n<p>Core qualifications include:</p>\n<ul>\n<li>8+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains</li>\n<li>A strong track record of research excellence, including publications in top-tier ML/AI venues</li>\n<li>Experience leading or managing research teams</li>\n<li>Excellent written and verbal communication skills</li>\n</ul>\n<p>Nice-to-have qualifications include:</p>\n<ul>\n<li>Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments</li>\n<li>Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale</li>\n<li>Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes</li>\n</ul>\n<p>Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.</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_0f6f3674-ac6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4679727005","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$289,800-$362,250 USD","x-skills-required":["machine learning","deep learning","generative models","agent/RL systems","research leadership","team management","communication","public speaking","writing","open-source contributions"],"x-skills-preferred":["hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments","prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale","proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes"],"datePosted":"2026-04-18T15:59:19.457Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, generative models, agent/RL systems, research leadership, team management, communication, public speaking, writing, open-source contributions, hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale, proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":289800,"maxValue":362250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f93bc55a-0cb"},"title":"Data Center Operations Cost Manager","description":"<p>As a Data Center Operations Cost Manager at CoreWeave, you will own and manage data center construction cost planning, forecasting, and control processes from feasibility through final closeout. Your key responsibilities will include lead pre-construction budgeting and detailed cost modeling to optimize capital efficiency, implement and enforce financial controls and leadership reporting mechanisms, develop and maintain program-level cost forecasts across multiple projects and regions, provide cost estimates and commercial risk assessments to inform location strategy and investment decisions, benchmark construction costs, escalation trends, and market rates across regions to maintain current cost intelligence, and manage internal cost control resources and external cost consultants to ensure consistency and excellence.</p>\n<p>You will be responsible for coordinating and executing complex, multi-team technology and operational initiatives, interpreting technical data, mapping workflows, and driving continuous process improvements. You will also be an expert in managing project timelines, resource planning, and ensuring clear communication with all stakeholders.</p>\n<p>In this role, you will work closely with the DC (Data Center) Program and Cost Management team to ensure strategic program objectives are translated into successful outcomes and the cost structure of building and managing data centers is optimized.</p>\n<p>CoreWeave is a rapidly growing company that is looking for a highly skilled and experienced professional to join our team. We offer a competitive salary range of $157,000 to $210,000, a discretionary bonus, equity awards, and a comprehensive benefits program.</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_f93bc55a-0cb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4670115006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$157,000 to $210,000","x-skills-required":["Cost management","Construction cost planning","Analysis","Data center deployment","Infrastructure project implementation","Cost management in a data center environment"],"x-skills-preferred":["Data Center Infrastructure","GPU-based technologies","Software tools such as NetSuite, Oracle, SAP, Maximo, Tableau, AutoCAD Construction Cloud, Procore, Sunbird, or building analytics/AI platforms"],"datePosted":"2026-04-18T15:48:09.854Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA/Richmond,CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cost management, Construction cost planning, Analysis, Data center deployment, Infrastructure project implementation, Cost management in a data center environment, Data Center Infrastructure, GPU-based technologies, Software tools such as NetSuite, Oracle, SAP, Maximo, Tableau, AutoCAD Construction Cloud, Procore, Sunbird, or building analytics/AI platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":157000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7203380b-a7c"},"title":"Software Engineer (L3) Infrastructure","description":"<p>We are seeking a Software Engineer (L3) Infrastructure to join our Developer Platform Experience team under Platform Engineering. As a key member of our team, you will help users interact with Twilio&#39;s internal developer platform, manage our software taxonomy and cloud infrastructure inventory, accelerate developer productivity via self-service tools, and drive adoption of engineering best practices throughout the company.</p>\n<p>In this role, you will develop, test, and deploy backend, frontend, and client-side applications for internal use at Twilio. You will collaborate with teammates and guest contributors via peer reviews, planning exercises, and pair programming. You will also mentor junior engineers as necessary, write tickets, testing plans, and runbooks for the team, as well as internal documentation for users.</p>\n<p>You will support internal users and ensure system uptime by participating in a 24x7 weekly on-call rotation. You will continuously improve Twilio&#39;s internal developer platform interfaces, local development tools, and platform onboarding processes. You will independently own medium-sized features, authoring specifications and designs for features of moderate complexity.</p>\n<p>Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn&#39;t followed a traditional path, don&#39;t let that stop you from considering Twilio.</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_7203380b-a7c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7767260","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"CAD $132,640.00 - CAD $165,800.00","x-skills-required":["Typescript","Python","Go","Terraform","Bash","AWS cloud environment","Relational database concepts and operations","5+ years of full-time job experience in a software engineering role"],"x-skills-preferred":["Prior experience working with a platform engineering focus in a software engineering organization","Strong opinions on developer experience and local development best practices","Familiarity with front-end web application development and frameworks such as React, Angular, or Vue","Familiarity with internal developer platform frameworks such as Backstage, OpsLevel, Cortex, or Battlestar","Fluency with AI platforms such as Claude, ChatGPT, and/or Copilot to accelerate software development"],"datePosted":"2026-04-18T15:44:05.160Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Typescript, Python, Go, Terraform, Bash, AWS cloud environment, Relational database concepts and operations, 5+ years of full-time job experience in a software engineering role, Prior experience working with a platform engineering focus in a software engineering organization, Strong opinions on developer experience and local development best practices, Familiarity with front-end web application development and frameworks such as React, Angular, or Vue, Familiarity with internal developer platform frameworks such as Backstage, OpsLevel, Cortex, or Battlestar, Fluency with AI platforms such as Claude, ChatGPT, and/or Copilot to accelerate software development","baseSalary":{"@type":"MonetaryAmount","currency":"CAD","value":{"@type":"QuantitativeValue","minValue":132640,"maxValue":165800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d2011299-9bf"},"title":"Staff Product Manager, Applied AI","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.</p>\n<p>Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.</p>\n<p>As a Staff Product Manager, Applied AI, you will define and execute Plaid&#39;s external AI strategy for developers and Plaid&#39;s customers. You will ensure Plaid is easy to use within AI-native applications, agent workflows, and AI coding environments. You will build developer-facing AI capabilities, shape ecosystem integrations, and drive AI-attributed growth.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Define and ship Plaid&#39;s AI-ready developer MCP.</li>\n<li>Build a CLI optimized for agent and LLM invocation.</li>\n<li>Improve AI-readability and usability of Plaid documentation and SDKs.</li>\n<li>Design lightweight hobbyist permissioning infrastructure.</li>\n<li>Partner with Go-To-Market to size AI-native opportunities.</li>\n<li>Launch ecosystem integrations and AI platform partnerships.</li>\n<li>Define metrics and measure AI-attributed developer growth.</li>\n<li>Influence long-term AI platform strategy at Plaid.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>5+ years of product management experience.</li>\n<li>Experience with AI platforms, LLMs, or developer AI tooling.</li>\n<li>Experience building developer-facing products (APIs, SDKs, platform tooling).</li>\n<li>Strong technical fluency and ability to work with engineers on platform architecture.</li>\n<li>Track record of shipping 0&gt;1 initiatives.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.</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_d2011299-9bf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/591846f4-0bb6-4f08-b5a0-0a2891056bf5","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD 207,600-306,600 per-year-salary","x-skills-required":["AI platforms","LLMs","developer AI tooling","product management","APIs","SDKs","platform tooling"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:51:13.561Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"AI platforms, LLMs, developer AI tooling, product management, APIs, SDKs, platform tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":207600,"maxValue":306600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61801483-ec4"},"title":"Account Manager - Morocco","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are a global company with a diverse workforce, operating in various locations including France, USA, UK, Germany, and Singapore.</p>\n<p>Role Summary</p>\n<p>As part of Mistral&#39;s expansion in North Africa, we are hiring a Senior Account Manager to lead and grow our most strategic accounts in Morocco, spanning large enterprises and public sector institutions.</p>\n<p>Responsibilities</p>\n<p>Strategic Account Ownership &amp; Value-Based Selling</p>\n<ul>\n<li><p>Own and grow a portfolio of strategic enterprise and public sector accounts, with existing and future contracts in the €1M+ ACV range.</p>\n</li>\n<li><p>Act as a trusted advisor to C-level and senior executives (CEO, CIO, CDO, CTO, Transformation Directors).</p>\n</li>\n<li><p>Define multi-year account strategies and transformation roadmaps, aligned with clients&#39; business priorities, regulatory constraints, and digital 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ensure successful deployments and adoption.</p>\n</li>\n<li><p>Support customers through large-scale AI transformation programs (on-prem, sovereign cloud, regulated environments).</p>\n</li>\n<li><p>Contribute to Mistral&#39;s long-term positioning in Morocco as a trusted AI partner, not just a technology vendor.</p>\n</li>\n</ul>\n<p>About You</p>\n<ul>\n<li><p>8+ years of experience in senior account management, consulting, or enterprise sales roles involving complex, high-value deals.</p>\n</li>\n<li><p>Strong exposure to value-based selling and transformational sales, ideally beyond a pure transactional SaaS model.</p>\n</li>\n<li><p>Proven experience managing large, strategic accounts over multiple years, with C-level engagement.</p>\n</li>\n<li><p>Background in management consulting is highly appreciated.</p>\n</li>\n<li><p>Strong understanding of banking or financial services is a plus (experience with major banking groups such as AWB is an advantage).</p>\n</li>\n<li><p>Comfortable selling and positioning deep tech solutions (AI platforms, data, cloud, infrastructure) to both business and technical leaders.</p>\n</li>\n<li><p>Excellent stakeholder management skills, structured, credible, calm, and impact-driven.</p>\n</li>\n<li><p>Entrepreneurial mindset with the ability to operate in a fast-scaling, high-ownership environment.</p>\n</li>\n<li><p>Fluent in Arabic and English; Arabic is a strong plus depending on client context.</p>\n</li>\n</ul>\n<p>Benefits</p>\n<p>Transportation: Allowance public transportation allowance or Parking charges reimbursed</p>\n<p>Sport: Allowance for gym membership allowance</p>\n<p>Meal: Allowance for meals (solution might evolve as we grow bigger)</p>\n<p>Health Insurance</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_61801483-ec4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/abff0584-d2e2-446e-b2a8-28d660e3773a","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["account management","value-based selling","transformational sales","complex deal structures","business value","ROI","long-term impact","durable relationships","executive-level relationships","multi-stakeholder environments","stakeholder management","deep tech solutions","AI 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directly with REST APIs and authentication flows (OAuth2, API keys).</li>\n<li>Experience using monitoring, logging, and observability tools to support production systems.</li>\n<li>Familiarity with AI platforms, machine learning systems, or data-intensive applications.</li>\n<li>Excellent written and verbal communication and interpersonal skills, with the ability to clearly and empathetically explain complex technical concepts to both technical and non-technical stakeholders/users in English.</li>\n<li>Experience providing technical support with a customer-first mindset, demonstrating patience, empathy, and a focus on user success.</li>\n<li>Strong technical writing abilities with experience creating and maintaining user guides, FAQs, and troubleshooting documentation.</li>\n<li>Demonstrated ability to prioritize effectively, respond quickly to critical issues with a sense of urgency, and maintain composure under pressure.</li>\n<li>Ability to work independently and collaboratively, handling multiple concurrent support cases while maintaining quality and meeting response time commitments.</li>\n<li>Self-starter who can identify process improvements and proactively address recurring issues (Initiative).</li>\n<li>Familiarity with tools such as Slack, Linear, Notion, and GitHub.</li>\n<li>Familiarity with authentication protocols like REST APIs, OAuth2, JWT, and API key auth.</li>\n</ul>\n<p>Why fal:</p>\n<p>At fal, you&#39;ll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.</p>\n<p>What we offer at fal:</p>\n<ul>\n<li>Interesting and challenging work</li>\n<li>Competitive salary and equity</li>\n<li>A lot of learning and growth opportunities</li>\n<li>Regular team events and offsites</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_3ff27117-053","directApply":true,"hiringOrganization":{"@type":"Organization","name":"fal","sameAs":"https://www.fal.com/","logo":"https://logos.yubhub.co/fal.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/fal/jobs/4210654009","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["REST APIs","backend services","monitoring, logging, and observability tools","AI platforms","machine learning systems","data-intensive applications","technical writing","customer support","problem-solving","analytical thinking","communication","interpersonal skills"],"x-skills-preferred":["Slack","Linear","Notion","GitHub","authentication protocols","OAuth2","JWT","API key auth"],"datePosted":"2026-04-17T12:33:16.745Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (IST Hours)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"REST APIs, backend services, monitoring, logging, and observability tools, AI platforms, machine learning systems, data-intensive applications, technical writing, customer support, problem-solving, analytical thinking, communication, interpersonal skills, Slack, Linear, Notion, GitHub, authentication protocols, OAuth2, JWT, API key auth"},{"@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_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_bc077e1f-964"},"title":"FBS Operations Analyst II","description":"<p><strong>Role Description</strong></p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. 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Proficiency in Microsoft 365, Power BI (Highly Preferred)"},{"@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. 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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. 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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. 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 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_3e70468c-037","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/ugycqzH2JyNDUqLnMufswg/hybrid-fbs-operations-analyst-iii-in-pune-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["CX Operations","Audit & Governance","Data Analysis","Insights & Predictive Analytics","Root Cause Analysis","Digital recommendations","Competitive Analysis","Personalization","Agile framework"],"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":"2026-03-09T17:01:36.767Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"CX Operations, Audit & Governance, Data Analysis, Insights & Predictive Analytics, Root Cause Analysis, Digital recommendations, Competitive Analysis, Personalization, Agile framework, 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_6d7232ae-f49"},"title":"FBS Operations Analyst III","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. 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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. 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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>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; 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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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. 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The successful candidate will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, and Product partners to deliver resilient, cloud native AI platforms in a highly regulated environment.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Design, build, and operate AI-focused infrastructure platforms supporting model development, training, evaluation, and inference.</li>\n<li>Engineer scalable, reliable, and secure cloud-native services to support AI workloads across AWS, Azure, and hybrid environments.</li>\n<li>Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems.</li>\n<li>Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards.</li>\n<li>Implement and maintain infrastructure as code and automation to ensure repeatable, auditable platform provisioning.</li>\n<li>Build and operate observability, monitoring, and alerting solutions for AI platforms, ensuring availability, performance, and cost transparency.</li>\n<li>Collaborate with Security and Risk partners to integrate identity, access controls, data protection, and governance into AI infrastructure.</li>\n<li>Contribute to architectural decisions and technical standards for AI platforms across Aladdin.</li>\n<li>Participate in on-call rotations and operational support as required for critical platforms.</li>\n<li>Continuously evaluate emerging AI infrastructure technologies and apply them pragmatically within BlackRock’s enterprise context.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Strong experience in cloud infrastructure, platform engineering, or systems engineering roles.</li>\n<li>4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services.</li>\n<li>Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle management, monitoring/observability, and Disaster Recovery</li>\n<li>Experience supporting LLMs, generative AI platforms, or model serving infrastructure.</li>\n<li>Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and fine-tuning, experimentation over large datasets, and end-to-end MLOps pipeline flow including data ingestion, training, validation, and deployment.</li>\n<li>Proficiency with Infrastructure as Code tools (e.g., Terraform, ARM/Bicep, CloudFormation).</li>\n<li>Strong programming or scripting skills (e.g., Python, Bash, or similar).</li>\n<li>Experience building and operating containerized and Kubernetes-based platforms.</li>\n<li>Solid understanding of reliability, scalability, observability, and operational best practices.</li>\n<li>Ability to work effectively in cross-functional teams and communicate complex technical concepts clearly.</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_69369815-a11","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/2JsY2bUdeEEzUfhn796RPb/associate%2Fvice-president%2C-ai-infrastructure-engineer-in-edinburgh-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AWS","Azure","GCP","Cloud compute","Networking","Storage","Security services","ML platform operations","Governance concepts","Model deployment strategies","Lifecycle management","Monitoring/observability","Disaster Recovery","LLMs","Generative AI platforms","Model serving infrastructure","AI and machine learning workloads","Managed compute","Fine-tuning","Experimentation","End-to-end MLOps pipeline flow","Data ingestion","Training","Validation","Deployment","Infrastructure as Code","Terraform","ARM/Bicep","CloudFormation","Programming","Scripting","Containerized and Kubernetes-based platforms","Reliability","Scalability","Observability","Operational best practices"],"x-skills-preferred":["GPU or accelerator-based infrastructure","Financial services or highly regulated industries","Multicloud architectures and enterprise governance requirements"],"datePosted":"2026-03-09T16:39:47.983Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edinburgh, Scotland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"AWS, Azure, GCP, Cloud compute, Networking, Storage, Security services, ML platform operations, Governance concepts, Model deployment strategies, Lifecycle management, Monitoring/observability, Disaster Recovery, LLMs, Generative AI platforms, Model serving infrastructure, AI and machine learning workloads, Managed compute, Fine-tuning, Experimentation, End-to-end MLOps pipeline flow, Data ingestion, Training, Validation, Deployment, Infrastructure as Code, Terraform, ARM/Bicep, CloudFormation, Programming, Scripting, Containerized and Kubernetes-based platforms, Reliability, Scalability, Observability, Operational best practices, GPU or accelerator-based infrastructure, Financial services or highly regulated industries, Multicloud architectures and enterprise governance requirements"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2c7b210f-566"},"title":"Product Manager: Prospect Data Teams","description":"<p>You will drive the product strategy across two critical teams—Prospect Data Solutions and Prospect Data Science Integrations—that are responsible for accelerating and scaling Constructor&#39;s pre-sales success. This unified role focuses on transforming raw prospect data into compelling business cases and automated proof-of-concept (proof schedule) demos. 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We want you to have the resources you need to set up your home office</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee, refreshed each year</li>\n<li>Parental leave for qualified employees</li>\n<li>Work with smart people who will help you grow and make a meaningful impact</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_2c7b210f-566","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor.io","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/E45A799AE0","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Management","JavaScript","Data Pipelines","SQL","Data Analytics","Customer 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This role sits at the heart of building and scaling the infrastructure that trains their frontier models and powers the next evolution of their personal AI, Copilot. You&#39;ll work directly with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Member of Technical Staff, High Performance Computing Engineer, you will design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings. You will own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale. 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From tool orchestration to performance optimization, you&#39;ll deliver fast, secure, and dependable execution that turns Copilot into a true productivity engine.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Build secure and performant AI platform services that power Copilot</li>\n<li>Collaborate with engineers and AI researchers to design scalable, reliable, and maintainable systems</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or related technical discipline and 4+ years of technical engineering experience, or equivalent experience</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proficiency in coding languages such as C, C++, C#, Go, Java, Python, and/or Rust</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Skilled at designing and operating reliable, high-performance systems, identifying and resolving complex technical issues, and writing clean, maintainable, and secure code</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year</li>\n<li>Certain roles may be eligible for benefits and other compensation</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_98603b3c-b54","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/mts-platform-engineer-tools-2/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $119,800 - $234,700 per year","x-skills-required":["C","C++","C#","Go","Java","Python","Rust"],"x-skills-preferred":["AI platforms","machine learning frameworks","APIs"],"datePosted":"2026-03-06T07:30:12.927Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Go, Java, Python, Rust, AI platforms, machine learning frameworks, APIs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_68e759f6-179"},"title":"Principal Software Engineer - Data, Personalization","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot&#39;s intelligence.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Software Engineer, you will work across Microsoft AI and Copilot teams to build scalable, low-latency systems for ingesting, processing, and serving personalized signals. You will design data models and APIs that enable Copilot to reason about user context, preferences, and history. You will build real-time and batch personalization engines that adapt Copilot&#39;s behavior. You will collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. 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This role sits at the heart of building next-generation AI products and services. You&#39;ll work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build world-class consumer experiences and products in a fast-paced environment.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Member of Technical Staff, Platform Engineer, you will be responsible for building secure and performant AI Platform services that power Copilot. You will work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next-generation AI products and services. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. 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As a Member of Technical Staff, High Performance Computing Engineer, you will design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings. 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