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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. 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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</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. 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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_672f796a-25a"},"title":"FBS Functional Operations Manager","description":"<p><strong>Role Description</strong></p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.</li>\n<li>Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.</li>\n<li>Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.</li>\n<li>Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.</li>\n<li>Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.</li>\n<li>Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.</li>\n<li>Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.</li>\n<li>Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.</li>\n<li>Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.</li>\n<li>Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.</li>\n<li>Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.</li>\n<li>Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.</li>\n</ul>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.</li>\n<li>Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.</li>\n<li>Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.</li>\n<li>Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.</li>\n<li>Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.</li>\n<li>Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.</li>\n</ul>\n<p><strong>Experience &amp; Education Requirements</strong></p>\n<ul>\n<li>Overall experience &gt;8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.</li>\n<li>Advanced project and process management experience. Agile preferred.</li>\n<li>Bachelor&#39;s degree preferred in Technology, Mathematics, Statistics, Business, or related field.</li>\n<li>Master’s degree preferred in Management, Analytics, Artificial Intelligence.</li>\n<li>Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).</li>\n<li>Background or coursework in AI, machine learning, data science, or human-centered AI preferred.</li>\n<li>Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.</li>\n<li>Availability to work in PST time zone.</li>\n</ul>\n<p><strong>Other Critical Skills</strong></p>\n<ul>\n<li>Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.</li>\n<li>Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.</li>\n<li>Strong understanding of AI ethics, governance, and responsible AI frameworks.</li>\n<li>Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.</li>\n<li>Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.</li>\n<li>Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.</li>\n<li>Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.</li>\n</ul>\n<p><strong>Software / Tool Skills</strong></p>\n<ul>\n<li>Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).</li>\n<li>Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.</li>\n<li>Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.</li>\n<li>Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.</li>\n<li>Good proficiency or practical experience of A/B Testing tools.</li>\n<li>Agile tools such as Jira, Rally etc.</li>\n<li>Understanding of Contact center and CMS tools.</li>\n<li>Excel - Intermediate/Advanced. Proficiency in Microsoft 365</li>\n<li>Power BI (Highly Preferred)</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p>Note: Benefits differ based on employee level.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_672f796a-25a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/wngXBGNHiynMbibPgMUqGs/hybrid-fbs-functional-operations-manager-in-pune-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Digital Performance monitoring","Data analytics & visualization","Predictive Analytics & Infrastructure scaling","Crash/Anomaly Detection","Bundle Optimization"],"x-skills-preferred":["GenAI tools","Conversational AI platforms","AI-assisted productivity solutions","Tableau","Microsoft Excel","Microsoft Office","Power BI"],"datePosted":"2026-03-09T17:02:38.375Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Digital Performance monitoring, Data analytics & visualization, Predictive Analytics & Infrastructure scaling, Crash/Anomaly Detection, Bundle Optimization, GenAI tools, Conversational AI platforms, AI-assisted productivity solutions, Tableau, Microsoft Excel, Microsoft Office, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dd79f871-8f1"},"title":"Technical Program Manager, Infrastructure","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic&#39;s Infrastructure organisation is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things.</p>\n<p>As a Technical Program Manager for Infrastructure, you&#39;ll work across multiple infrastructure domains to coordinate complex programs that have broad organisational impact. You&#39;ll be solving novel scaling challenges at the frontier of what&#39;s possible, all while maintaining the security and reliability our mission demands.</p>\n<p>This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You&#39;ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams.</p>\n<p><strong>What you&#39;ll do:</strong></p>\n<p><strong>Developer Productivity &amp; Tooling</strong></p>\n<ul>\n<li>Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards</li>\n</ul>\n<ul>\n<li>Coordinate large-scale migrations and platform modernization efforts across engineering teams</li>\n</ul>\n<ul>\n<li>Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements</li>\n</ul>\n<ul>\n<li>Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering</li>\n</ul>\n<p><strong>Infrastructure Reliability &amp; Operations</strong></p>\n<ul>\n<li>Drive programs to establish and achieve reliability targets across training infrastructure and production services</li>\n</ul>\n<ul>\n<li>Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively</li>\n</ul>\n<ul>\n<li>Establish metrics and dashboards to track infrastructure health, capacity utilisation, and operational excellence</li>\n</ul>\n<p><strong>Cross-functional Coordination</strong></p>\n<ul>\n<li>Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences</li>\n</ul>\n<ul>\n<li>Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development</li>\n</ul>\n<ul>\n<li>Drive alignment on priorities and timelines across teams with competing constraints</li>\n</ul>\n<p><strong>You May Be a Good Fit If You</strong></p>\n<ul>\n<li>Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems</li>\n</ul>\n<ul>\n<li>Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking</li>\n</ul>\n<ul>\n<li>Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives</li>\n</ul>\n<ul>\n<li>Have strong stakeholder management skills and can build trust with both technical and non-technical partners</li>\n</ul>\n<ul>\n<li>Are comfortable navigating competing priorities and using data to drive technical decisions</li>\n</ul>\n<ul>\n<li>Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling</li>\n</ul>\n<ul>\n<li>Thrive in fast-paced environments and can balance strategic planning with tactical execution</li>\n</ul>\n<ul>\n<li>Are obsessed with reliability, scalability, security, and continuous improvement</li>\n</ul>\n<ul>\n<li>Have a passion for supporting internal partners like research to understand their unique needs</li>\n</ul>\n<ul>\n<li>Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale</li>\n</ul>\n<ul>\n<li>Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters)</li>\n</ul>\n<ul>\n<li>Background working with research teams and translating their needs into concrete technical requirements</li>\n</ul>\n<ul>\n<li>Experience driving adoption of AI tools to improve engineering productivity</li>\n</ul>\n<ul>\n<li>Familiarity with observability tooling and practices</li>\n</ul>\n<p><strong>Deadline to Apply:</strong></p>\n<p>None, applications will be received on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong></p>\n<p>We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong></p>\n<p>Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong></p>\n<p>We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application.</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_dd79f871-8f1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5111783008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000 - $365,000 USD","x-skills-required":["Technical Program Management","Infrastructure","ML/AI systems","Distributed systems","Kubernetes","Cloud platforms","ML infrastructure"],"x-skills-preferred":["Developer productivity initiatives","CI/CD systems","Infrastructure scaling","Observability tooling and practices"],"datePosted":"2026-03-08T13:49:30.383Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Infrastructure, ML/AI systems, Distributed systems, Kubernetes, Cloud platforms, ML infrastructure, Developer productivity initiatives, CI/CD systems, Infrastructure scaling, Observability tooling and practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_459d7a0d-23e"},"title":"Technical Program Manager, Inference Performance","description":"<p>As a Technical Program Manager for Inference, you&#39;ll be the critical bridge between our inference systems and the broader organisation. You&#39;ll drive strategic initiatives across inference runtime and accelerator performance—coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li><strong>Systems Integration &amp; Coordination</strong>: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.</li>\n<li><strong>Performance &amp; Efficiency:</strong> Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.</li>\n<li><strong>Launch Coordination:</strong> Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.</li>\n<li><strong>Strategic Planning:</strong> Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.</li>\n<li><strong>Stakeholder Communication:</strong> Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.</li>\n<li><strong>Process Improvement:</strong> Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems</li>\n<li>Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.</li>\n<li>Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives</li>\n<li>Have strong stakeholder management skills and can build trust with both technical and non-technical partners</li>\n<li>Are comfortable navigating competing priorities and using data to drive technical decisions</li>\n<li>Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance</li>\n<li>Thrive in fast-paced environments and can balance strategic planning with tactical execution</li>\n<li>Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the</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_459d7a0d-23e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5107763008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000 - $365,000USD","x-skills-required":["technical program management","inference systems","compilers","hardware accelerators","cross-functional initiatives","model launches","cross-platform dependencies","reliability","performance metrics","capacity gains","efficiency wins","runtime","accelerator layers","launch timelines","smooth handoffs","strategic planning","inference deployment roadmap","engineering leadership","prioritisation","dependencies","visibility","upcoming changes","organisational impact","stakeholder communication","requirements","constraints","technical complexities","clear updates","leadership","alignment","priorities","timelines","process improvement","inefficiencies","workflows","systematic improvements","metrics","dashboards","infrastructure health","capacity utilisation","deployment success rates"],"x-skills-preferred":["infrastructure scaling initiatives","hardware integrations","deployment governance","fast-paced environments","strategic planning","tactical execution","AI infrastructure","large language models"],"datePosted":"2026-03-08T13:48:59.030Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical program management, inference systems, compilers, hardware accelerators, cross-functional initiatives, model launches, cross-platform dependencies, reliability, performance metrics, capacity gains, efficiency wins, runtime, accelerator layers, launch timelines, smooth handoffs, strategic planning, inference deployment roadmap, engineering leadership, prioritisation, dependencies, visibility, upcoming changes, organisational impact, stakeholder communication, requirements, constraints, technical complexities, clear updates, leadership, alignment, priorities, timelines, process improvement, inefficiencies, workflows, systematic improvements, metrics, dashboards, infrastructure health, capacity utilisation, deployment success rates, infrastructure scaling initiatives, hardware integrations, deployment governance, fast-paced environments, strategic planning, tactical execution, AI infrastructure, large language models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}}]}