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If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.</p>\n<p>We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics.</p>\n<p>Principal responsibilities:</p>\n<ul>\n<li>Own the end-to-end technical design and delivery of Decision Hub capabilities (eligibility, arbitration, offering services, monitoring, APIs, etc.).</li>\n<li>Champion and lead the adoption of AI-assisted development practices (e.g., GitHub Copilot, generative AI for code/test generation) to accelerate delivery, improve code quality, and foster a culture of innovation.</li>\n<li>Spearhead the integration of Generative AI, adaptive models, and other emerging AI technologies into the platform&#39;s core capabilities, moving beyond traditional ML models to create a truly intelligent system.</li>\n<li>Collaborate with Product, Solution Architecture, Data, and Security to ensure compliance with regulatory controls, data lineage, and auditability.</li>\n<li>Drive performance, scalability, and resilience design; validate via capacity/performance testing and production dry runs.</li>\n<li>Translate business requirements into extensible, maintainable technical solutions and reference designs for multi-market reuse.</li>\n<li>Lead technical design and code reviews, setting the standard for high-quality, efficient, and maintainable code.</li>\n<li>Hands-on implementation and troubleshooting; unblock teams during critical incidents and deployment windows.</li>\n<li>Coach and grow engineering capability; set engineering practices, quality metrics, and a high-performance culture.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years in software engineering with 3+ years in technical lead or architect roles on distributed, real-time systems.</li>\n<li>Proven experience designing and delivering decisioning, orchestration, or real-time personalization platforms (or equivalent large-scale event/streaming systems).</li>\n<li>Strong cloud design and development experience (GCP preferred; AWS/Azure acceptable) and familiarity with multi-cloud/on-prem tradeoffs.</li>\n<li>Hands-on experience with the end-to-end machine learning lifecycle (MLOps), from model integration and deployment to performance monitoring and feedback loops.</li>\n<li>A strong passion for and practical experience with leveraging AI development tools (e.g., GitHub Copilot, CodeWhisperer) and embedding them into team workflows.</li>\n<li>Deep knowledge of performance engineering, capacity planning, fault tolerance, and observability (APM, metrics, tracing, alerting).</li>\n<li>Hands-on with modern engineering practices: microservices, APIs, CI/CD, infra as code, automated testing, security controls.</li>\n<li>Excellent stakeholder skills: ability to translate complex technical concepts for business partners and influence product and delivery decisions.</li>\n<li>Strong mentoring and team leadership track record.</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_e964c530-195","directApply":true,"hiringOrganization":{"@type":"Organization","name":"HSBC Software Development (GuangDong) Limited","sameAs":"https://portal.careers.hsbc.com","logo":"https://logos.yubhub.co/portal.careers.hsbc.com.png"},"x-apply-url":"https://portal.careers.hsbc.com/careers/job/563774610760348","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["software engineering","technical lead","architect","distributed systems","real-time systems","cloud design","GCP","AWS","Azure","machine learning","MLOps","AI development tools","GitHub Copilot","CodeWhisperer","performance engineering","capacity planning","fault tolerance","observability","microservices","APIs","CI/CD","infra as code","automated testing","security controls"],"x-skills-preferred":[],"datePosted":"2026-04-24T14:17:15.315Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Guangzhou"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"software engineering, technical lead, architect, distributed systems, real-time systems, cloud design, GCP, AWS, Azure, machine learning, MLOps, AI development tools, GitHub Copilot, CodeWhisperer, performance engineering, capacity planning, fault tolerance, observability, microservices, APIs, CI/CD, infra as code, automated testing, security controls"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d34ee930-f5c"},"title":"Cloud Platform Engineer","description":"<p>We are seeking a Cloud Platform Engineer to join our team. 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Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.</p>\n<p>We WANT YOUR BRAINS…</p>\n<p>PopCap is looking for brainy, skillful people with a passion for making the world’s best games. What’s in it for you? A super-fun environment, rewarding work, and great perks.</p>\n<p>We are seeking a Sr. Manager, Game Production and Operations to join the Plants vs. Zombies franchise, contributing to the continued development of Plants vs. Zombies 3. In this role, you will work as an operational leader, partnering across disciplines to deliver high-quality features and releases for a globally loved mobile game.</p>\n<p>Role Overview</p>\n<p>The Sr. Manager, Game Production and Operations plays a critical role in successfully moving the development team forward while ensuring a strong focus on efficiency, predictability, collaboration and communication. This is a key leadership role, directly managing the Development Director discipline as well as team-wide processes and solutions for how and when we deliver value to our players and the business. This role will report to the Head of Studio Operations.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead and manage a team of Development Directors. 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May Be a Good Fit If You:</p>\n<ul>\n<li>Have 5–8 years of experience in occupancy planning, space management, corporate real estate, or a related workplace function</li>\n<li>Have hands-on experience managing office moves, restacks, or large-scale seat assignments across multiple locations</li>\n<li>Are proficient with space management or IWMS platforms, preferably OfficeSpace (Archibus, Serraview, or similar)</li>\n<li>Bring a strong analytical mindset and comfort working with occupancy data, utilization metrics, and headcount models to clearly articulate strategy to stakeholders</li>\n<li>Have experience partnering with Finance or People Analytics teams on workforce and capacity planning</li>\n<li>Are skilled at managing multiple projects simultaneously in a fast-paced, high-growth environment</li>\n<li>Communicate clearly and confidently with both operational teams and senior leadership</li>\n<li>Hold a Bachelor&#39;s degree in Real Estate, Urban Planning, Business, or a related 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II - Developer Productivity","description":"<p>We&#39;re looking for a Software Engineer – Developer Productivity to help improve the productivity of the entire engineering team. You will be responsible for everything from our build and testing automation, to the packaging and release of the final product. You will identify and provide tools to allow engineers to locate bottlenecks across their SDLC and help them remove friction points. You will evaluate our build systems and expand our deployment automation to meet growing needs. 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You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Own compute financial planning &amp; Forecasting.</li>\n<li>Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments.</li>\n<li>Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning)</li>\n<li>Coordinate closely with Corporate FP&amp;A on timelines and process</li>\n<li>Present insights on a monthly basis to senior management.</li>\n<li>Drive infrastructure investment decisions.</li>\n<li>Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs.</li>\n<li>Develop frameworks for investment trade-offs to guide executive decision making.</li>\n<li>Build scalable tooling &amp; reporting.</li>\n<li>Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics.</li>\n<li>Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer).</li>\n<li>Drive forecasting accuracy &amp; 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>OpenAI&#39;s Stargate and 3P Engineering teams are responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Technical Program Manager, Token-as-a-Service (TaaS) to lead delivery of external compute capacity that directly serves OpenAI model workloads.</p>\n<p>In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply.</li>\n</ul>\n<ul>\n<li>Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments.</li>\n</ul>\n<ul>\n<li>Build integrated plans across internal engineering teams and external partners with clear milestones, owners, risks, and critical paths.</li>\n</ul>\n<ul>\n<li>Drive launch execution for new partner regions, clusters, and capacity expansions.</li>\n</ul>\n<ul>\n<li>Create operating mechanisms that measure deployed capacity versus usable token output.</li>\n</ul>\n<ul>\n<li>Identify bottlenecks preventing token generation (network constraints, hardware readiness, software enablement, partner delays, etc.) and drive resolution.</li>\n</ul>\n<ul>\n<li>Coordinate with capacity planning and finance teams to prioritize the highest ROI capacity opportunities.</li>\n</ul>\n<ul>\n<li>Establish executive-level reporting on delivery status, risks, and token ramp forecasts.</li>\n</ul>\n<ul>\n<li>Improve repeatability of partner onboarding, technical integration, and scaling motions.</li>\n</ul>\n<ul>\n<li>Manage escalations across internal and external stakeholders during high-severity delivery issues.</li>\n</ul>\n<ul>\n<li>Translate ambiguous infrastructure constraints into clear execution plans.</li>\n</ul>\n<ul>\n<li>Help define the long-term operating model for Token-as-a-Service across Stargate and 3P ecosystems.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>8+ years of Technical Program Management, Engineering Program Management, or Infrastructure Delivery experience.</li>\n</ul>\n<ul>\n<li>Experience leading large-scale technical programs involving cloud, data center, networking, hardware, or distributed systems.</li>\n</ul>\n<ul>\n<li>Strong understanding of compute infrastructure, clusters, networking, storage, and production systems.</li>\n</ul>\n<ul>\n<li>Proven ability to drive cross-functional execution across engineering, operations, finance, and external vendors.</li>\n</ul>\n<ul>\n<li>Experience managing executive stakeholders and communicating complex tradeoffs clearly.</li>\n</ul>\n<ul>\n<li>Strong analytical skills with ability to reason about utilization, throughput, capacity, and operational metrics.</li>\n</ul>\n<ul>\n<li>Comfortable operating in ambiguous, fast-scaling environments.</li>\n</ul>\n<ul>\n<li>Strong written and verbal communication skills.</li>\n</ul>\n<ul>\n<li>High ownership mentality with bias toward action.</li>\n</ul>\n<ul>\n<li>Experience working with external providers, strategic partners, or hyperscalers is highly preferred.</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Experience with GPU clusters, AI infrastructure, or large-scale model serving environments.</li>\n</ul>\n<ul>\n<li>Familiarity with token economics, inference capacity planning, or workload scheduling.</li>\n</ul>\n<ul>\n<li>Experience scaling global infrastructure through third-party providers.</li>\n</ul>\n<ul>\n<li>Background in systems engineering, networking, or hardware deployment programs.</li>\n</ul>\n<ul>\n<li>Experience building new operational models in high-growth environments.</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_9c3667a3-140","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/e8558280-69dc-438a-b905-623f75ae6d62","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$342K – $555K","x-skills-required":["Technical Program Management","Engineering Program Management","Infrastructure Delivery","Cloud","Data Center","Networking","Hardware","Distributed Systems","Compute Infrastructure","Clusters","Storage","Production Systems"],"x-skills-preferred":["GPU Clusters","AI Infrastructure","Large-Scale Model Serving Environments","Token Economics","Inference Capacity Planning","Workload Scheduling","Global Infrastructure","Systems Engineering","Hardware Deployment Programs"],"datePosted":"2026-04-24T12:23:54.161Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Engineering Program Management, Infrastructure Delivery, Cloud, Data Center, Networking, Hardware, Distributed Systems, Compute Infrastructure, Clusters, Storage, Production Systems, GPU Clusters, AI Infrastructure, Large-Scale Model Serving Environments, Token Economics, Inference Capacity Planning, Workload Scheduling, Global Infrastructure, Systems Engineering, Hardware Deployment Programs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":342000,"maxValue":555000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_99208b28-226"},"title":"Technical Program Manager, Robotics Data Acquisition","description":"<p>We&#39;re looking for a Technical Program Manager to own and scale the systems that power robotic data acquisition across our development and evaluation environments. This role sits at the intersection of Robotics Engineering, Operations, and Infrastructure, ensuring that DAQ stations and associated workflows reliably produce high-quality data for model training and evaluation.</p>\n<p>You will drive end-to-end execution of complex, cross-functional programs that integrate robotic platforms, sensing systems, operator tooling, and data pipelines into cohesive, production-ready systems. Success in this role requires strong systems thinking, operational rigor, and the ability to translate ambiguous research needs into scalable infrastructure.</p>\n<p>In this role you will:</p>\n<ul>\n<li>Own DAQ Program Delivery: Lead the roadmap, execution, and scaling of robotic DAQ systems, ensuring alignment with research, engineering, and operational priorities.</li>\n</ul>\n<ul>\n<li>Drive Cross-Functional Integration: Coordinate across robotics hardware, software, infrastructure, and operations teams to deliver tightly integrated, deployment-ready data collection systems.</li>\n</ul>\n<ul>\n<li>Operationalize Data Collection Systems: Translate experimental and research workflows into repeatable, scalable DAQ processes with clear SLAs, metrics, and reliability targets.</li>\n</ul>\n<ul>\n<li>System Readiness &amp; Deployment: Ensure DAQ stations (robots, sensors, compute, operator interfaces) are fully integrated, validated, and ready for production use across multiple sites.</li>\n</ul>\n<ul>\n<li>Program Execution &amp; Risk Management: Build and manage detailed program plans, identify risks early, and drive mitigation across technical and operational domains.</li>\n</ul>\n<ul>\n<li>Capacity &amp; Throughput Planning: Model and plan DAQ capacity (stations, operators, uptime) to meet evolving data demands, balancing speed, cost, and quality.</li>\n</ul>\n<ul>\n<li>Quality &amp; Data Integrity Oversight: Partner with engineering and data teams to define and enforce data quality standards, ensuring consistency and usability for downstream model training.</li>\n</ul>\n<ul>\n<li>Continuous Improvement: Drive improvements in system reliability, utilization, and efficiency through instrumentation, feedback loops, and process optimization.</li>\n</ul>\n<p>You might thrive in this role if you:</p>\n<ul>\n<li>5+ years of experience in technical program management, systems engineering, or operations in hardware, robotics, or infrastructure-heavy environments</li>\n</ul>\n<ul>\n<li>Strong systems-level thinking across hardware, software, and operational workflows</li>\n</ul>\n<ul>\n<li>Proven ability to lead complex, cross-functional programs with high ambiguity</li>\n</ul>\n<ul>\n<li>Experience scaling physical systems (labs, factories, robotics fleets, or test infrastructure)</li>\n</ul>\n<ul>\n<li>Comfortable working close to hardware and debugging real-world system issues</li>\n</ul>\n<ul>\n<li>Strong analytical skills; able to model capacity, throughput, and system performance</li>\n</ul>\n<ul>\n<li>Excellent communication skills with the ability to align diverse stakeholders</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_99208b28-226","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/7eb1ac08-5168-4eff-a96c-90ce0bfd3fde","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$257K – $300K","x-skills-required":["technical program management","systems engineering","operations","hardware","robotics","infrastructure","cross-functional integration","data collection systems","system readiness","deployment","program execution","risk management","capacity planning","throughput planning","quality oversight","continuous improvement"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:21:43.720Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical program management, systems engineering, operations, hardware, robotics, infrastructure, cross-functional integration, data collection systems, system readiness, deployment, program execution, risk management, capacity planning, throughput planning, quality oversight, continuous improvement","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":257000,"maxValue":300000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1ccace61-279"},"title":"Strategy and Operations, Forward Deployed Engineering (FDE)","description":"<p><strong>Compensation</strong></p>\n<p>$216K – $240K • Offers Equity</p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>OpenAI’s Forward Deployed Engineering (FDE) team partners with customers to turn research breakthroughs into production-grade AI systems. FDE sits at the intersection of Product, Engineering, Research, and GTM. We embed deeply with users to solve high-leverage problems and surface patterns that shape our platform. We take frontier capabilities into the real world and translate customer signal into durable solutions, repeatable patterns, and product direction.</p>\n<p><strong>About the role</strong></p>\n<p>We’re hiring an Strategy and Ops Lead to build, run, and evolve the systems that enable the FDE team to execute at scale. This role sits at the core of the team and directly shapes how effectively we deploy frontier AI in the real world. You’ll turn fast-moving signals from the field and the business into clear operational plans, aligning project demand with FDE capacity, driving staffing decisions, and ensuring the portfolio scales predictably.</p>\n<p>You will partner closely with Business, Product, and GTM stakeholders to improve how we prioritize, plan, and coordinate. Rather than leading a single program, you’ll run core operating rhythms for the team, such as portfolio reviews, execution tracking, and quarterly planning, ensuring leaders have clear visibility into risks and delivery progress as the organization scales. This is a senior IC role with broad ownership across the FDE operating model.</p>\n<p><strong>In this role you will</strong></p>\n<ul>\n<li>Own FDE capacity planning, translating pipeline and active project demand into hiring forecasts.</li>\n</ul>\n<ul>\n<li>Run the operating rhythm across portfolio reviews and quarterly planning, ensuring leaders have visibility into priorities, risk, dependencies, and the decisions needed to keep execution moving.</li>\n</ul>\n<ul>\n<li>Determine how customer engagements should be staffed across FDE and partner channels, working with GTM and FDE leadership to make explicit tradeoff calls based on scope, strategic value, and capacity constraints.</li>\n</ul>\n<ul>\n<li>Codify and evolve the FDE operating model so each subsequent deployment becomes easier to scope and deliver.</li>\n</ul>\n<ul>\n<li>Identify and resolve emerging operational bottlenecks as FDE scales, implementing lightweight systems that improve execution without adding unnecessary overhead.</li>\n</ul>\n<p><strong>You might thrive in this role if you</strong></p>\n<ul>\n<li>Bring 6+ years in technical program management, engineering operations, business operations, or similar operator roles supporting technical teams in fast-paced, high-ambiguity environments.</li>\n</ul>\n<ul>\n<li>Have built 0→1 operating mechanisms that scaled a technical team through rapid growth.</li>\n</ul>\n<ul>\n<li>Bring alignment to conflicting priorities and resource tradeoffs, driving teams toward measurable outcomes at pace.</li>\n</ul>\n<ul>\n<li>Break down ambiguous operational challenges into clear workstreams, anticipate risks early, and make sound decisions under pressure while balancing speed with long-term system health.</li>\n</ul>\n<ul>\n<li>Communicate clearly across engineering, product, GTM, and executive audiences, simplifying complexity and translating tradeoffs into actionable decisions.</li>\n</ul>\n<ul>\n<li>Influence senior leaders without formal authority, aligning teams with different incentives around clear, shared outcomes.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p><strong>Benefits</strong></p>\n<p><strong>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</strong></p>\n<p><strong>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.</strong></p>\n<p><strong>To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.</strong></p>\n<p><strong>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241).</strong></p>\n<p><strong>[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-an</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1ccace61-279","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/976939e9-e072-4a24-abdb-84cf29a564c6","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$216K – $240K • Offers Equity","x-skills-required":["technical program management","engineering operations","business operations","similar operator roles","fast-paced","high-ambiguity environments","capacity planning","pipeline and active project demand","hiring forecasts","portfolio reviews","quarterly planning","execution tracking","operating rhythm","leadership","GTM","FDE","operating model","staffing decisions","project demand","FDE capacity","customer engagements","partner channels","scope","strategic value","capacity constraints","operational bottlenecks","lightweight systems","execution","communication","complexity","tradeoffs","actionable decisions","influence","senior leaders","shared outcomes","AI research","deployment","general-purpose artificial intelligence","human needs","safety","data security","information technology systems","data security obligations"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:19:06.022Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical program management, engineering operations, business operations, similar operator roles, fast-paced, high-ambiguity environments, capacity planning, pipeline and active project demand, hiring forecasts, portfolio reviews, quarterly planning, execution tracking, operating rhythm, leadership, GTM, FDE, operating model, staffing decisions, project demand, FDE capacity, customer engagements, partner channels, scope, strategic value, capacity constraints, operational bottlenecks, lightweight systems, execution, communication, complexity, tradeoffs, actionable decisions, influence, senior leaders, shared outcomes, AI research, deployment, general-purpose artificial intelligence, human needs, safety, data security, information technology systems, data security obligations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_639596c3-530"},"title":"Staff Technical Program Manager, Infrastructure FinOps","description":"<p>About Pinterest:</p>\n<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.</p>\n<p>At Pinterest, we&#39;re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>\n<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other&#39;s unique experiences and embrace the flexibility to do your best work.</p>\n<p>Creating a career you love? It&#39;s Possible.</p>\n<p>At Pinterest, AI isn&#39;t just a feature, it&#39;s a powerful partner that augments our creativity and amplifies our impact, and we&#39;re looking for candidates who are excited to be a part of that.</p>\n<p>To get a complete picture of your experience and abilities, we&#39;ll explore your foundational skills and how you collaborate with AI.</p>\n<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.</p>\n<p>You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</p>\n<p>The Team:</p>\n<p>Pinterest is a visual discovery platform where people go from inspiration to action, the Infra Governance space plays a foundational role: it helps ensure Pinterest&#39;s infrastructure strategy can scale with product demand while remaining disciplined on cost, capacity, and long-term platform health.</p>\n<p>What is especially exciting about this team is the mix of technical strategy, planning rigor, and business impact,it sits close to infrastructure and platform engineering, close to Product execution, and close to the investment decisions that determine where Pinterest scales next.</p>\n<p>It is also an unusually strong fit for a senior IC TPM who wants to build governance mechanisms, improve transparency into where infrastructure and AI investment is going, and redesign high-toil operating workflows with AI-first methods.</p>\n<p>The TPM interview framework reinforces that this kind of role is about ambiguity handling, XFN influence, technical judgment, and mechanism-building at scale.</p>\n<p>What you&#39;ll do:</p>\n<p>Partner with Product and Engineering to translate infrastructure strategy into executable multi-quarter programs, with clear scope, sequencing, dependencies, governance forums, and measurable outcomes across the Infra Governance portfolio.</p>\n<p>Lead capacity planning as a core operating motion: connect product demand, infrastructure supply, growth assumptions, and technical constraints into a durable planning cadence that enables earlier, better investment decisions.</p>\n<p>Own budgeting, forecasting, and variance analysis for infrastructure governance programs, building clear visibility into where investment is going today, where it is expected to go next, and what is driving movement versus plan.</p>\n<p>Develop financial models, cost models, and scenario-planning frameworks that translate technical choices into business impact and support explicit trade-off discussions across capacity, cost, reliability, performance, and speed.</p>\n<p>Build an investment transparency matrix for infrastructure and AI spend, including ownership, allocation, utilization, forecast, actuals, and decision points, so leadership can quickly understand where resources are being consumed and where intervention is needed.</p>\n<p>Establish governance for AI token utilization and allocation, including forecasting demand, tracking usage, improving transparency, and helping teams understand the financial implications of model and token consumption choices.</p>\n<p>Operationalize durable mechanisms for budgeting reviews, forecast updates, variance investigations, anomaly management, and optimization follow-through in partnership with Product, Engineering, Finance, Security, and Data.</p>\n<p>Lead trade-off discussions that improve decision quality: synthesize technical inputs, business priorities, and financial signals into clear options, recommendations, and escalation-ready decisions.</p>\n<p>Build the governance layer for execution: run portfolio reviews, dependency management, roadmap health reviews, planning checkpoints, and executive updates that keep large cross-functional programs aligned and on track.</p>\n<p>Identify high-leverage opportunities to automate operational toil, especially in recurring workflows like status synthesis, planning reviews, dependency tracking, intake triage, forecast reconciliation, and action/decision capture.</p>\n<p>Build AI-assisted frameworks, lightweight models, and workflow automations that improve decision-making, including dashboards, scenario tools, cost-model templates, token-usage views, and planning helpers that increase signal while reducing manual overhead.</p>\n<p>Use GenAI as the default operating model for EP PgM execution,producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk &amp; 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Our vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realize its benefits.</p>\n<p>We’re looking for an experienced Site Reliability Engineer (SRE) to join our infrastructure team. In this role, you’ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. 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Competitive compensation, equity options, and comprehensive benefits.</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_bdf4e05a-b8c","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-site-reliability-engineer/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$119,800 - $234,700 per year","x-skills-required":["Site Reliability Engineering","DevOps","Infrastructure Engineering","Kubernetes","Docker","container orchestration","CI/CD pipelines","ML model deployment","public cloud platforms","Azure","AWS","GCP","infrastructure-as-code","monitoring & observability tools","Grafana","Datadog","OpenTelemetry","Python","Go","Bash","distributed systems","networking","storage","GPU clusters","ML training/inference pipelines","high-performance computing","workload schedulers","capacity planning","cost optimization"],"x-skills-preferred":["cloud architecture","containerization","microservices","API design","security","compliance","agile development","scrum","kanban"],"datePosted":"2026-04-24T12:12:26.597Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Site Reliability Engineering, DevOps, Infrastructure Engineering, Kubernetes, Docker, container orchestration, CI/CD pipelines, ML model deployment, public cloud platforms, Azure, AWS, GCP, infrastructure-as-code, monitoring & observability tools, Grafana, Datadog, OpenTelemetry, Python, Go, Bash, distributed systems, networking, storage, GPU clusters, ML training/inference pipelines, high-performance computing, workload schedulers, capacity planning, cost optimization, cloud architecture, containerization, microservices, API design, security, compliance, agile development, scrum, kanban","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_dacc9b06-4d8"},"title":"Member of Technical Staff - Principal Data Infrastructure Engineer","description":"<p>As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realize its benefits.</p>\n<p>We’re looking for a Member of Technical Staff – Principal Data Infrastructure Engineer. This role is a dynamic blend of Platform Engineering, DevOps/SRE, and Big Data Infrastructure Engineering, focused on enabling large-scale data and ML pipelines and intelligent systems. If you’ve architected big data platforms from the ground up and are eager to apply that expertise to consumer AI, we want to hear from you.</p>\n<p>You’ll bring:</p>\n<p>Deep technical expertise A passion for automation and observability Fluency in distributed systems Creativity to design scalable solutions And just as importantly: empathy, collaboration, and a growth mindset</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<p>Architect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications. Champion DevOps and SRE best practices,automated deployments, service monitoring, and incident response. Build a self-service big data platform that empowers data and platform engineers and researchers. Develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools (Bicep, Terraform, ARM). Collaborate with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure, seamless big data workflows. Lead technical design reviews and uphold a clean, secure, and well-documented codebase. Proactively identify and resolve bottlenecks in data pipelines and infrastructure. Optimize system performance across storage, compute, and analytics layers. Partner with Security teams to enhance system security (IAM, OAuth, Kerberos). Embody and promote Microsoft’s values: Respect, Integrity, Accountability, and Inclusion.</p>\n<p>Qualifications:</p>\n<p>Required Qualifications: Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.</p>\n<p>Preferred Qualifications: 4+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering. 3+ years of hands-on experience managing and scaling distributed systems,from bare-metal to cloud-native environments. 2+ years deploying containerized applications using Kubernetes and Helm/Kustomize. Solid scripting and automation skills using Python, Bash, or PowerShell. Proven success in CI/CD pipeline management, release automation, and production troubleshooting. Experience working with Databricks for scalable data processing and analytics. Familiarity with security practices in infrastructure environments, including IAM, OAuth, and Kerberos administration. Proven experience with cloud-native infrastructure across Azure, AWS, or GCP. Hands-on expertise with modern data platforms like Databricks, including: Deep understanding of data storage and processing technologies: Relational &amp; NoSQL databases Key-value stores. Spark compute engines. Distributed file systems (e.g., HDFS, ADLS Gen2). Messaging systems (e.g., Event Hub, Kafka, RabbitMQ). Capacity planning and incident management for large-scale big data systems. Solid collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams. Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP. Exposure to agentic workflows, deep learning, or AI frameworks. Practical experience integrating LLMs (e.g., GPT-based models) into daily workflows,automating documentation, code generation, reviews, and operational intelligence. Solid grasp of prompt engineering techniques to design, optimize, and evaluate interactions with LLMs. Demonstrated ability to troubleshoot and resolve complex performance and scalability issues across infrastructure layers. Excellent interpersonal and communication skills, with a solid passion for mentorship and continuous learning. Experience applying LLMs to DevOps workflows, enhancing incident response, and streamlining cross-functional collaboration is a solid advantage.</p>\n<p>#MicrosoftAI #mai-datainsights #mai-datainsights</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_dacc9b06-4d8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-principal-data-infrastructure-engineer-2/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$139,900 – $274,800 per year","x-skills-required":["Big Data Infrastructure","DevOps","SRE","Platform Engineering","Distributed Systems","Cloud-Native Infrastructure","Azure","AWS","GCP","Databricks","CI/CD Pipelines","Infrastructure as Code","Bicep","Terraform","ARM","Python","Bash","PowerShell","Kubernetes","Helm","Kustomize","LLMs","GPT-based models","Prompt Engineering","Agentic Workflows","Deep Learning","AI Frameworks"],"x-skills-preferred":["Containerized Applications","Security Practices","IAM","OAuth","Kerberos Administration","Web Stacks","TypeScript","Node.js","React","PHP","Modern Data Platforms","Spark Compute Engines","Distributed File Systems","Messaging Systems","Capacity Planning","Incident Management"],"datePosted":"2026-04-24T12:12:26.106Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Big Data Infrastructure, DevOps, SRE, Platform Engineering, Distributed Systems, Cloud-Native Infrastructure, Azure, AWS, GCP, Databricks, CI/CD Pipelines, Infrastructure as Code, Bicep, Terraform, ARM, Python, Bash, PowerShell, Kubernetes, Helm, Kustomize, LLMs, GPT-based models, Prompt Engineering, Agentic Workflows, Deep Learning, AI Frameworks, Containerized Applications, Security Practices, IAM, OAuth, Kerberos Administration, Web Stacks, TypeScript, Node.js, React, PHP, Modern Data Platforms, Spark Compute Engines, Distributed File Systems, Messaging Systems, Capacity Planning, Incident Management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2291f859-746"},"title":"MTS - Site Reliability Engineer","description":"<p>As Microsoft continues to push the boundaries of AI, we are on the lookout for experienced Site Reliability Engineers to work with us on the most interesting and challenging AI questions of our time.</p>\n<p>Our vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realize its benefits.</p>\n<p>We’re looking for an experienced Site Reliability Engineer (SRE) to join our infrastructure team. In this role, you’ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.</p>\n<p>Responsibilities:</p>\n<p>Reliability &amp; Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.</p>\n<p>Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.</p>\n<p>Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).</p>\n<p>Automation &amp; Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.</p>\n<p>Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.</p>\n<p>Security &amp; Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.</p>\n<p>Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.</p>\n<p>Qualifications:</p>\n<p>Required Qualifications:</p>\n<p>4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.</p>\n<p>Strong proficiency in Kubernetes, Docker, and container orchestration.</p>\n<p>Knowledge of CI/CD pipelines for Inference and ML model deployment.</p>\n<p>Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code.</p>\n<p>Expertise in monitoring &amp; observability tools (Grafana, Datadog, OpenTelemetry, etc.).</p>\n<p>Strong programming/scripting skills in Python, Go, or Bash.</p>\n<p>Solid knowledge of distributed systems, networking, and storage.</p>\n<p>Experience running large-scale GPU clusters for ML/AI workloads (preferred).</p>\n<p>Familiarity with ML training/inference pipelines.</p>\n<p>Experience with high-performance computing (HPC) and workload schedulers (Kubernetes operators).</p>\n<p>Background in capacity planning &amp; cost optimization for GPU-heavy environments.</p>\n<p>Work on cutting-edge infrastructure that powers the future of Generative AI.</p>\n<p>Collaborate with world-class researchers and engineers.</p>\n<p>Impact millions of users through reliable and responsible AI deployments.</p>\n<p>Competitive compensation, equity options, and comprehensive benefits.</p>\n<p>Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.</p>\n<p>Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.</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_2291f859-746","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-site-reliability-engineer-3/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 - $234,700 per year","x-skills-required":["Kubernetes","Docker","container orchestration","CI/CD pipelines","public cloud platforms","infrastructure-as-code","monitoring & observability tools","Python","Go","Bash","distributed systems","networking","storage","GPU clusters","ML training/inference pipelines","high-performance computing","workload schedulers","capacity planning & cost optimization"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:12:10.488Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Docker, container orchestration, CI/CD pipelines, public cloud platforms, infrastructure-as-code, monitoring & observability tools, Python, Go, Bash, distributed systems, networking, storage, GPU clusters, ML training/inference pipelines, high-performance computing, workload schedulers, capacity planning & cost optimization","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_6a63b8e9-84c"},"title":"Principal Manufacturing Engineer","description":"<p>What Makes a Honda, is Who makes a Honda</p>\n<p>Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”</p>\n<p>We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.</p>\n<p>If your goals and values align with Honda’s, we want you to join our team to Bring the Future!</p>\n<p><strong>JOB PURPOSE:</strong></p>\n<p>Lead in development of problem solving, continuous improvement and associate mentoring/development, in alignment with efficient production, new model introduction, business plan implementation and innovation to achieve or exceed targets that promote associate success.</p>\n<p><strong>KEY ACCOUNTABILITIES:</strong></p>\n<p>Recommend strategic investments in technology, tools, and processes to support future product lines and production capacity</p>\n<p>Continuous development of self, colleagues and team through training and mentoring to proactively improve areas of management expertise for personal and team growth</p>\n<p>Identify risks, remove barriers, and maintain alignment across engineering, operations, supply chain, and production teams</p>\n<p>Evaluate and assess concerns identified by team to help or guide them to address or correct and resolve issues utilizing PDCA</p>\n<p>Define and maintain a multiyear engineering roadmap aligned with business goals and manufacturing requirements</p>\n<p>Manage projects for business plan and new model from concept through launch, ensuring on-time and on-budget delivery</p>\n<p>Manage required organizational resources (manpower, structure, budget) necessary to achieve operational expectations</p>\n<p>Collaborate in the development of Business Plan Strategy and new technologies or model introductions to improve production characteristics and ensure voice of the floor is heard</p>\n<p>Ensure engineering work complies with manufacturing standards, regulatory requirements, and internal quality systems</p>\n<p><strong>QUALIFICATIONS, EXPERIENCE, &amp; 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Student Loan Repayment</p>\n<p>Wellbeing Program</p>\n<p>Community Service and Engagement Programs</p>\n<p>Product Programs</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_6a63b8e9-84c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Honda","sameAs":"https://careers.honda.com","logo":"https://logos.yubhub.co/careers.honda.com.png"},"x-apply-url":"https://careers.honda.com/us/en/job/10602/Principal-Manufacturing-Engineer","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$99,100.00 - $148,600.00","x-skills-required":["Knowledge and experience with Honda business planning process","Expertise within manufacturing department of assignment","Background in model development, forecasting, or capacity planning","Strong presentation skills for communicating forecasts, risks, and strategic recommendations","Be a pro-active problem-solver who anticipates risks and removes barriers"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:22:45.570Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Haw River"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Knowledge and experience with Honda business planning process, Expertise within manufacturing department of assignment, Background in model development, forecasting, or capacity planning, Strong presentation skills for communicating forecasts, risks, and strategic recommendations, Be a pro-active problem-solver who anticipates risks and removes barriers","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":99100,"maxValue":148600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d46c1e8f-b8c"},"title":"Strategic Deals Lead, Compute & Infrastructure","description":"<p>We are seeking a Strategic Deals Lead, Compute &amp; 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Strategic Deals Lead, Compute &amp; Infrastructure team member to drive the planning and execution of programs critical to Anthropic&#39;s compute infrastructure strategy.</p>\n<p>In this role, you will manage internal and external stakeholders to bring clarity to our compute technology roadmaps, help prioritise across technical and non-technical teams, and focus on securing and delivering compute capacity.</p>\n<p>Anthropic&#39;s AI models are available on both our first-party platforms (claude.ai and our API) as well as through our major cloud partners. Ensuring tight coordination between our internal teams and external partners is essential to our ability to stay on the frontier of AI development.</p>\n<p>You will work closely with engineering, finance, and partnership teams to drive execution of technical roadmaps, support deal structuring, and manage the operational aspects of our compute partnerships.</p>\n<p>This role combines technical program management with elements of strategic operations, partnership development, and financial analysis. You will be an integral part of a team focused on securing the compute resources Anthropic needs to pursue its mission of developing safe, beneficial AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Drive cross-functional coordination across Engineering, Finance, and external partners to define, scope, and deliver on compute partnership initiatives</li>\n</ul>\n<ul>\n<li>Develop and maintain detailed project plans, timelines, and status reporting for technical programs related to compute infrastructure and partnerships</li>\n</ul>\n<ul>\n<li>Partner with engineering leaders to translate technical requirements into actionable roadmaps and track execution against milestones</li>\n</ul>\n<ul>\n<li>Support the structuring and negotiation of strategic compute deals, including financial modeling, term analysis, and vendor evaluation</li>\n</ul>\n<ul>\n<li>Build and maintain relationships with key stakeholders at cloud providers and infrastructure partners</li>\n</ul>\n<ul>\n<li>Develop and manage systems, processes, and documentation to support program management efficiency and stakeholder visibility</li>\n</ul>\n<ul>\n<li>Analyze financial and operational data to inform decision-making on compute capacity planning and vendor strategy</li>\n</ul>\n<ul>\n<li>Provide clear and transparent reporting on program status, issues, and risks to leadership</li>\n</ul>\n<p>You might be a good fit if you have:</p>\n<ul>\n<li>8-10 years of experience in technical product/program management, business development, or strategic partnerships roles at technology companies</li>\n</ul>\n<ul>\n<li>Experience structuring and negotiating strategic customer deals or partnerships within the technology space (cloud services, semiconductors, data center/infrastructure)</li>\n</ul>\n<ul>\n<li>Background in cloud computing, data center infrastructure, compute/silicon development, or technology-focused investment banking or consulting</li>\n</ul>\n<ul>\n<li>Familiarity with data center infrastructure, compute hardware, and/or silicon development cycles</li>\n</ul>\n<ul>\n<li>Comfort with financial analysis and modeling; experience with vendor financing arrangements is a plus</li>\n</ul>\n<ul>\n<li>Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders</li>\n</ul>\n<ul>\n<li>Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution</li>\n</ul>\n<ul>\n<li>A track record of managing cross-functional initiatives in fast-paced, scaling technology environments</li>\n</ul>\n<ul>\n<li>A passion for Anthropic&#39;s mission and ensuring safe AI development</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience managing external partnerships with large-scale cloud providers or hardware vendors</li>\n</ul>\n<ul>\n<li>Understanding of AI/ML infrastructure requirements and compute capacity planning</li>\n</ul>\n<ul>\n<li>Experience with vendor financing, equipment leasing, or infrastructure investment analysis</li>\n</ul>\n<ul>\n<li>Background in technical due diligence or technology M&amp;A</li>\n</ul>\n<p>The annual compensation range for this role is $250,000-$310,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n</ul>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fd4e064b-c57","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5169670008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$250,000-$310,000 USD","x-skills-required":["Technical product/program management","Business development","Strategic partnerships","Cloud computing","Data center infrastructure","Compute/silicon development","Financial analysis and modeling","Vendor financing arrangements","Interpersonal and communication skills","Ability to drive clarity in ambiguous environments","Cross-functional initiative management"],"x-skills-preferred":["Experience managing external partnerships with large-scale cloud providers or hardware vendors","Understanding of AI/ML infrastructure requirements and compute capacity planning","Experience with vendor financing, equipment leasing, or infrastructure investment analysis","Background in technical due diligence or technology M&A"],"datePosted":"2026-04-18T15:53:43.911Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical product/program management, Business development, Strategic partnerships, Cloud computing, Data center infrastructure, Compute/silicon development, Financial analysis and modeling, Vendor financing arrangements, Interpersonal and communication skills, Ability to drive clarity in ambiguous environments, Cross-functional initiative management, Experience managing external partnerships with large-scale cloud providers or hardware vendors, Understanding of AI/ML infrastructure requirements and compute capacity planning, Experience with vendor financing, equipment leasing, or infrastructure investment analysis, Background in technical due diligence or technology M&A","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":250000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8f6ef3b1-c9b"},"title":"Technical Program Manager, Compute","description":"<p>As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic&#39;s compute infrastructure running efficiently at scale.</p>\n<p>Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You&#39;ll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams.</p>\n<p>You&#39;ll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams</li>\n<li>Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health</li>\n<li>Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms</li>\n<li>Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used</li>\n<li>Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication</li>\n<li>Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership</li>\n<li>Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments</li>\n<li>Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements</li>\n<li>Have experience working with research or ML teams and translating their needs into operational plans and technical requirements</li>\n<li>Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility</li>\n<li>Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up</li>\n<li>Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership</li>\n<li>Have a track record of building trust with engineering teams and driving changes through influence rather than authority</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments</li>\n<li>Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)</li>\n<li>Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads</li>\n<li>Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution</li>\n<li>Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management</li>\n<li>Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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Deployment","description":"<p>Our mandate is to make inference deployment boring and unattended. We serve Claude to millions of users across GPUs, TPUs, and Trainium , and every model update must reach production safely, quickly, and without disrupting service. As a Software Engineer on the Launch Engineering team, you&#39;ll design and build the deployment infrastructure that moves inference code from merge to production.</p>\n<p>This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic , your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You&#39;ll build systems that navigate these constraints , orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions</li>\n</ul>\n<ul>\n<li>Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes</li>\n</ul>\n<ul>\n<li>Extend deployment observability , dashboards and tooling that answer &quot;what code is running in production,&quot; &quot;where is my commit,&quot; and &quot;what validation passed for this deploy&quot;</li>\n</ul>\n<ul>\n<li>Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism</li>\n</ul>\n<ul>\n<li>Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity</li>\n</ul>\n<ul>\n<li>Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement</li>\n</ul>\n<ul>\n<li>Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems</li>\n</ul>\n<p>You May Be a Good Fit If You Have:</p>\n<ul>\n<li>5+ years of experience building deployment, release, or delivery infrastructure at scale</li>\n</ul>\n<ul>\n<li>Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines</li>\n</ul>\n<ul>\n<li>Experience with deployment systems where resource constraints shape the design , whether that&#39;s fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows</li>\n</ul>\n<ul>\n<li>A track record of building automation that measurably improves deployment velocity and reliability</li>\n</ul>\n<ul>\n<li>Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration</li>\n</ul>\n<ul>\n<li>Comfort working across the stack , from backend services and databases to CLI tools and web UIs</li>\n</ul>\n<ul>\n<li>Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners</li>\n</ul>\n<p>Strong Candidates May Also Have:</p>\n<ul>\n<li>Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)</li>\n</ul>\n<ul>\n<li>Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)</li>\n</ul>\n<ul>\n<li>Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback</li>\n</ul>\n<ul>\n<li>Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)</li>\n</ul>\n<ul>\n<li>Experience with Python and/or Rust in production systems</li>\n</ul>\n<p>The annual compensation range for this role is $320,000-$485,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_74be15a1-bce","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5111745008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$485,000 USD","x-skills-required":["deployment 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You&#39;ll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams.</p>\n<p>You&#39;ll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams</li>\n<li>Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health</li>\n<li>Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms</li>\n<li>Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used</li>\n<li>Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication</li>\n<li>Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership</li>\n<li>Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments</li>\n<li>Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements</li>\n<li>Have experience working with research or ML teams and translating their needs into operational plans and technical requirements</li>\n<li>Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility</li>\n<li>Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up</li>\n<li>Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership</li>\n<li>Have a track record of building trust with engineering teams and driving changes through influence rather than authority</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments</li>\n<li>Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)</li>\n<li>Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads</li>\n<li>Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution</li>\n<li>Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management</li>\n<li>Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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rapidly scaling marketing organisation. The primary mandate is to define and measure success across all marketing programmes,from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution,creating a clear line from investment to pipeline to revenue.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Define and own the Enterprise Marketing measurement framework, targets, and reporting, covering the full funnel from top-of-funnel demand through pipeline influence and closed-won attribution.</li>\n<li>Build and maintain core analytics infrastructure (data models, attribution logic, dashboards) in partnership with Revenue Operations and Data Science, ensuring marketing and sales alignment on key metrics.</li>\n<li>Serve as one of the primary operating partner to Finance, HR, and Recruiting, leading budget tracking, headcount planning, and vendor management.</li>\n<li>Partner with marketing leadership and the central Marketing Ops &amp; Strategy team on annual and quarterly planning, resource allocation, and performance reviews.</li>\n<li>Establish the operating cadence for Enterprise Marketing (QBRs, pipeline reviews, program retros), coordinating with the central Marketing Ops &amp; Strategy team on organisation-wide rhythms, and drive the preparation needed to make these forums decision-useful.</li>\n<li>Lead the identification of high-leverage workflows to automate, partnering with the central GTM AI team on implementation and measuring productivity gains.</li>\n<li>Build and manage the Marketing Operations, Demand Analytics, and MarTech team, setting a high bar for analytical rigor and business partnership.</li>\n<li>Drive cross-functional alignment on shared definitions, tooling, and a single source of truth for marketing performance across the broader Marketing organisation and with Revenue Operations.</li>\n<li>Conduct strategic analyses to inform key organisational decisions, such as resource deployment, coverage ratios, and campaign capacity planning.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years in marketing operations, analytics, revenue operations, or strategy roles, including at least 3 years leading a team.</li>\n<li>Experience building or significantly scaling a marketing ops/analytics function at a high-growth B2B technology company undergoing significant organisational expansion.</li>\n<li>Deep fluency in the enterprise demand funnel, including lead scoring, MQL/SQL definitions, pipeline attribution, and campaign influence models.</li>\n<li>Hands-on expertise with the modern GTM data stack (CRM, Marketing Automation, BI tools).</li>\n<li>Proven track record of strategic partnership with Finance and Revenue Operations, including experience building budget models and sitting in planning cycles.</li>\n<li>Expertise in running the core operational rhythm of a marketing organisation: QBRs, headcount tracking, budget pacing, and vendor renewals.</li>\n<li>Strong written and verbal communication, capable of translating complex datasets into clear business narratives.</li>\n<li>Genuine curiosity about AI and a willingness to be an early, hands-on adopter of automation tools in your team’s workflows.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!</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_a738803a-64f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5169101008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$400,000-$400,000 USD","x-skills-required":["marketing operations","analytics","revenue operations","strategy","demand generation","field events","ABM","EBCs","partner co-marketing","pipeline contribution","marketing programmes","investment","pipeline","revenue","measurement framework","targets","reporting","funnel","top-of-funnel demand","pipeline influence","closed-won attribution","core analytics infrastructure","data models","attribution logic","dashboards","Data Science","marketing","sales","alignment","key metrics","budget tracking","headcount planning","vendor management","marketing leadership","central Marketing Ops & Strategy team","annual planning","quarterly planning","resource allocation","performance reviews","operating cadence","QBRs","pipeline reviews","program retros","organisation-wide rhythms","decision-useful","high-leverage workflows","automation","GTM AI team","implementation","productivity gains","Demand Analytics","MarTech team","analytical rigor","business partnership","cross-functional alignment","shared definitions","tooling","single source of truth","marketing performance","strategic analyses","resource deployment","coverage ratios","campaign capacity planning","lead scoring","MQL/SQL definitions","pipeline attribution","campaign influence models","modern GTM data stack","CRM","Marketing Automation","BI tools","strategic partnership","Finance","budget models","planning cycles","core operational rhythm","headcount tracking","budget pacing","vendor renewals","written communication","verbal communication","complex datasets","business narratives","AI","automation tools"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:21.649Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"marketing operations, analytics, revenue operations, strategy, demand generation, field events, ABM, EBCs, partner co-marketing, pipeline contribution, marketing programmes, investment, pipeline, revenue, measurement framework, targets, reporting, funnel, top-of-funnel demand, pipeline influence, closed-won attribution, core analytics infrastructure, data models, attribution logic, dashboards, Data Science, marketing, sales, alignment, key metrics, budget tracking, headcount planning, vendor management, marketing leadership, central Marketing Ops & Strategy team, annual planning, quarterly planning, resource allocation, performance reviews, operating cadence, QBRs, pipeline reviews, program retros, organisation-wide rhythms, decision-useful, high-leverage workflows, automation, GTM AI team, implementation, productivity gains, Demand Analytics, MarTech team, analytical rigor, business partnership, cross-functional alignment, shared definitions, tooling, single source of truth, marketing performance, strategic analyses, resource deployment, coverage ratios, campaign capacity planning, lead scoring, MQL/SQL definitions, pipeline attribution, campaign influence models, modern GTM data stack, CRM, Marketing Automation, BI tools, strategic partnership, Finance, budget models, planning cycles, core operational rhythm, headcount tracking, budget pacing, vendor renewals, written communication, verbal communication, complex datasets, business narratives, AI, automation tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":400000,"maxValue":400000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d922b91-9e7"},"title":"Support Operations Analyst","description":"<p>As a Support Operations Analyst at Anthropic, you will build the analytical and workforce planning foundation that enables our support organisation to scale intelligently. This role sits at the intersection of data analysis, capacity planning, and operational strategy,providing the insights leadership needs to make confident decisions about staffing, investment, and service levels.</p>\n<p>You&#39;ll own forecasting and capacity planning across our support organisation, including FTE teams, AI-powered support channels, and vendor/contractor partnerships. This means building models that predict volume based on product launches, model releases, and customer growth; analysing the relationship between support metrics and business outcomes; and ensuring we have the right resources in the right places to meet our service commitments.</p>\n<p>Responsibilities:</p>\n<p>Workforce Planning &amp; Forecasting</p>\n<ul>\n<li>Build and maintain staffing models that translate SLA targets into headcount requirements across FTE and vendor teams</li>\n<li>Forecast support volume by analysing historical trends, product release calendars, model launches, and customer base growth projections</li>\n<li>Factor AI support effectiveness (automation rates, deflection, Fin AI Agent performance) into capacity models to ensure accurate human staffing projections</li>\n<li>Partner with vendor managers to align contractor capacity with demand forecasts and service level requirements</li>\n<li>Model scenarios to inform strategic decisions about staffing investments, vendor mix, and coverage models</li>\n<li>Develop frameworks for prioritising automation initiatives based on volume impact and deflection potential</li>\n</ul>\n<p>Analytics &amp; Reporting</p>\n<ul>\n<li>Maintain and enhance dashboards that track productivity, response times, CSAT, queue health, and other key support metrics</li>\n<li>Investigate the relationship between support performance and business outcomes (e.g., how response time and satisfaction impact retention and churn)</li>\n<li>Surface trends and insights that inform operational decisions,identifying what&#39;s driving volume, where bottlenecks emerge, and where investment is needed</li>\n<li>Translate complex data into clear recommendations for leadership and cross-functional partners</li>\n</ul>\n<p>Operational Partnership</p>\n<ul>\n<li>Collaborate with Support Ops, AI Support, and Human Support teams to ensure data and forecasts align with operational reality</li>\n<li>Partner with Finance on headcount planning, budget alignment, and quarterly capacity reviews</li>\n<li>Work with Product and Engineering to anticipate how launches and feature changes will impact support demand</li>\n<li>Contribute to vendor performance management by establishing metrics frameworks and reporting cadences</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_7d922b91-9e7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5080931008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$131,040-$165,000 USD","x-skills-required":["SQL","data warehouses","analysis tools","forecasting","capacity planning","workforce management","vendor management"],"x-skills-preferred":["Hex","Looker","BigQuery","Assembled","NICE","Calabrio"],"datePosted":"2026-04-18T15:52:11.793Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, data warehouses, analysis tools, forecasting, capacity planning, workforce management, vendor management, Hex, Looker, BigQuery, Assembled, NICE, Calabrio","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":131040,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_15a29cc3-0bf"},"title":"Senior Production Engineer","description":"<p>CORPORATION</p>\n<p>CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.</p>\n<p><strong>About the Role</strong></p>\n<p>Production Engineering ensures CoreWeave’s cloud delivers world-class reliability, performance, and operational excellence. We are hiring a Senior Production Engineer to take direct, hands-on ownership of critical tooling that drives reliability and delivery success.</p>\n<p>In this role, you will work broadly across the cloud stack designing, implementing, deploying, and operating systems that improve delivery velocity, service availability, and operational safety. You’ll be responsible for leading end-to-end technical projects, maintaining long-lived systems the team owns, and strengthening our operational foundations through durable engineering investments.</p>\n<p>This is a role for someone who enjoys building, debugging, and operating production systems. You will collaborate closely with service owners, but your primary impact comes from the reliability, quality, and maturity of the systems you deliver and maintain over time.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution.</li>\n</ul>\n<ul>\n<li>Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.</li>\n</ul>\n<ul>\n<li>Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support.</li>\n</ul>\n<ul>\n<li>Participate in incident response as a subject-matter expert; drive deep root-cause investigations and implement lasting fixes.</li>\n</ul>\n<ul>\n<li>Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness.</li>\n</ul>\n<ul>\n<li>Eliminate single points of failure and reduce operational toil through automation, refactors, and system redesigns.</li>\n</ul>\n<ul>\n<li>Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations.</li>\n</ul>\n<ul>\n<li>Maintain and mature long-term projects and frameworks owned by the team, ensuring they remain reliable, well-instrumented, and easy to operate.</li>\n</ul>\n<ul>\n<li>Collaborate with platform teams to ensure new features and services integrate cleanly with our reliability best-practices and tooling.</li>\n</ul>\n<p><strong>What You’ve Worked On (Minimum Qualifications)</strong></p>\n<ul>\n<li>7+ years of engineering experience building and operating distributed systems or cloud platforms.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to debug complex production issues end-to-end, across services, infrastructure layers, and automation.</li>\n</ul>\n<ul>\n<li>Strong programming or scripting ability (Python, Go, or similar), with experience shipping and operating production services and tools.</li>\n</ul>\n<ul>\n<li>Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes.</li>\n</ul>\n<ul>\n<li>Experience with modern observability stacks: metrics, tracing, structured logs, SLOs/SLIs, and incident lifecycle practices.</li>\n</ul>\n<ul>\n<li>A track record of successfully delivering hands-on reliability improvements through engineering execution.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations.</li>\n</ul>\n<ul>\n<li>Familiarity with DR/BCP, service tiering, capacity planning, or chaos engineering.</li>\n</ul>\n<ul>\n<li>Background operating or building large-scale AI or GPU-accelerated infrastructure.</li>\n</ul>\n<ul>\n<li>Experience maintaining multi-year ownership of foundational production systems.</li>\n</ul>\n<p>Why CoreWeave?</p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n</ul>\n<ul>\n<li>Act Like an Owner</li>\n</ul>\n<ul>\n<li>Empower Employees</li>\n</ul>\n<ul>\n<li>Deliver Best-in-Class Client Experiences</li>\n</ul>\n<ul>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization&#39;s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</p>\n<p>The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n</ul>\n<ul>\n<li>Company-paid Life Insurance</li>\n</ul>\n<ul>\n<li>Voluntary supplemental life insurance</li>\n</ul>\n<ul>\n<li>Short and long-term disability insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Account</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Tuition Reimbursement</li>\n</ul>\n<ul>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefits through Spring Health</li>\n</ul>\n<ul>\n<li>Family-Forming support provided by Carrot</li>\n</ul>\n<ul>\n<li>Paid Parental Leave</li>\n</ul>\n<ul>\n<li>Flexible, full-service childcare support with Kinside</li>\n</ul>\n<ul>\n<li>401(k) with a generous employer match</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Catered lunch each day in our office and data center locations</li>\n</ul>\n<ul>\n<li>A casual work environment</li>\n</ul>\n<ul>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>\n<p>California Consumer Privacy Act - California applicants only</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_15a29cc3-0bf","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/4670172006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,000 to $204,000","x-skills-required":["cloud computing","distributed systems","cloud platforms","Kubernetes","observability stacks","metrics","tracing","structured logs","SLOs/SLIs","incident lifecycle practices","Python","Go","programming","scripting","production services","tools"],"x-skills-preferred":["internal tooling","frameworks","automation","high-availability cloud operations","DR/BCP","service tiering","capacity planning","chaos engineering","large-scale AI","GPU-accelerated infrastructure"],"datePosted":"2026-04-18T15:52:09.786Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud computing, distributed systems, cloud platforms, Kubernetes, observability stacks, metrics, tracing, structured logs, SLOs/SLIs, incident lifecycle practices, Python, Go, programming, scripting, production services, tools, internal tooling, frameworks, automation, high-availability cloud operations, DR/BCP, service tiering, capacity planning, chaos engineering, large-scale AI, GPU-accelerated infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139000,"maxValue":204000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fa9a54d7-549"},"title":"Senior Site Reliability Engineer, Data Infrastructure","description":"<p>As a Senior Site Reliability Engineer, you will own the reliability and performance of our Kubernetes-based data platform. You will design and operate highly available, multi-region systems, ensuring our services meet strict uptime and latency targets.</p>\n<p>Day-to-day, you’ll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You’ll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one.</p>\n<p>We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.</p>\n<p>The Platform &amp; Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale.</p>\n<p>About the role:</p>\n<ul>\n<li>5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles</li>\n<li>Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments</li>\n<li>Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions</li>\n<li>Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems</li>\n<li>Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs</li>\n<li>Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).</li>\n<li>Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning</li>\n<li>Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems</li>\n<li>Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning)</li>\n</ul>\n<p>Preferred:</p>\n<ul>\n<li>Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink)</li>\n<li>Familiarity with service mesh technologies (e.g., Istio, Linkerd)</li>\n<li>Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX</li>\n<li>Background in building internal developer platforms or self-service infrastructure</li>\n</ul>\n<p>Wondering if you’re a good fit?</p>\n<p>We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match.</p>\n<p>Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.</p>\n<ul>\n<li>You love building highly reliable systems that operate at scale</li>\n<li>You’re curious about how to continuously improve system resilience, security, and operations</li>\n<li>You’re an expert in diagnosing and solving complex distributed systems problems</li>\n</ul>\n<p>Why CoreWeave?</p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning.</p>\n<p>Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n<li>Act Like an Owner</li>\n<li>Empower Employees</li>\n<li>Deliver Best-in-Class Client Experiences</li>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.</p>\n<p>As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.</p>\n<p>Come join us!</p>\n<p>The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.</p>\n<p>In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance</li>\n<li>100% paid for by CoreWeave</li>\n<li>Company-paid Life Insurance</li>\n<li>Voluntary supplemental life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Flexible Spending Account</li>\n<li>Health Savings Account</li>\n<li>Tuition Reimbursement</li>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n<li>Mental Wellness Benefits through Spring Health</li>\n<li>Family-Forming support provided by Carrot</li>\n<li>Paid Parental Leave</li>\n<li>Flexible, full-service childcare support with Kinside</li>\n<li>401(k) with a generous employer match</li>\n<li>Flexible PTO</li>\n<li>Catered lunch each day in our office and data center locations</li>\n<li>A casual work environment</li>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.</p>\n<p>New hires will be invited to attend onboarding at one of our hubs within their first month.</p>\n<p>Teams also gather quarterly to support collaboration.</p>\n<p>California Consumer Privacy Act - California applicants only</p>\n<p>CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.</p>\n<p>All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.</p>\n<p>As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.</p>\n<p>If reasonable accommodation is needed, please contact: careers@coreweave.com.</p>\n<p>Export Control Compliance</p>\n<p>This position requires access to export controlled information.</p>\n<p>To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without restrictions, or (C) otherwise exempt from the export regulations.</p>\n<p>If you are not a U.S. person, you will be required to provide documentation of your eligibility to access the export controlled information before being considered for this position.</p>\n<p>Please note that CoreWeave is subject to the requirements of the U.S. Department of Commerce&#39;s Export Administration Regulations (EAR) and the U.S. Department of State&#39;s International Traffic in Arms Regulations (ITAR).</p>\n<p>By applying for this position, you acknowledge that you have read and understood the export control requirements and that you will comply with them.</p>\n<p>If you have any questions or concerns regarding the export control requirements, please contact: careers@coreweave.com.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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In your first year, you&#39;ll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi-tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.</li>\n</ul>\n<ul>\n<li>Owning complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.</li>\n</ul>\n<ul>\n<li>Driving system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP-style) graph workloads. 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We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n</ul>\n<ul>\n<li>Act Like an Owner</li>\n</ul>\n<ul>\n<li>Empower Employees</li>\n</ul>\n<ul>\n<li>Deliver Best-in-Class Client Experiences</li>\n</ul>\n<ul>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</p>\n<p>The base salary range for this role is $115,000 to $153,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n</ul>\n<ul>\n<li>Company-paid Life Insurance</li>\n</ul>\n<ul>\n<li>Voluntary supplemental life insurance</li>\n</ul>\n<ul>\n<li>Short and long-term disability insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Account</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Tuition Reimbursement</li>\n</ul>\n<ul>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefits through Spring Health</li>\n</ul>\n<ul>\n<li>Family-Forming support provided by Carrot</li>\n</ul>\n<ul>\n<li>Paid Parental Leave</li>\n</ul>\n<ul>\n<li>Flexible, full-service childcare support with Kinside</li>\n</ul>\n<ul>\n<li>401(k) with a generous employer match</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Catered lunch each day in our office and data center locations</li>\n</ul>\n<ul>\n<li>A casual work environment</li>\n</ul>\n<ul>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. 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Your team will ensure our LLMs meet rigorous performance, safety and security standards and enhance our core infrastructure for packaging, testing, and deploying inference technology across the globe.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set technical strategy and oversee development of Claude on AWS across all layers of the technical stack.</li>\n<li>Collaborate across teams and companies to deeply understand product, infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving</li>\n<li>Work closely with cross-functional stakeholders across companies to align on goals and drive outcomes</li>\n<li>Create clarity for the team and stakeholders in an ambiguous and evolving environment</li>\n<li>Take an inclusive approach to hiring and coaching top technical talent, and support a high performing team</li>\n<li>Design and run processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management</li>\n<li>5+ years of engineering management experience</li>\n<li>Experience recruiting, scaling, and retaining engineering talent in a high growth environment</li>\n<li>Have experience scaling products, resources and operations to accommodate rapid growth</li>\n<li>Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development</li>\n<li>Excel at building strong relationships and strategy with stakeholders across engineering, product, finance, and sales</li>\n<li>Have experience working with external partners to align goals and deliver impact</li>\n<li>Enjoy working in a fast-paced, early environment; 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procurement, engineering, finance, and customer stakeholders to translate customer orders and forecasts into actionable production schedules.</p>\n<p>Responsibilities:</p>\n<ul>\n<li><p>Develop, maintain, and optimize production schedules based on customer demand, forecast inputs, material availability, and production capacity</p>\n</li>\n<li><p>Translate sales orders and forecasts into executable work orders within ERP/MRP systems</p>\n</li>\n<li><p>Monitor production progress and adjust schedules to address constraints, delays, or changing priorities</p>\n</li>\n<li><p>Coordinate with operations to ensure alignment between planned and actual production activities</p>\n</li>\n<li><p>Communicate production schedule status, order progress, and potential risks or delays to internal stakeholders, and support coordination with external stakeholders as needed.</p>\n</li>\n<li><p>Utilize ERP/MRP systems (e.g., NetSuite, SAP) to manage work orders, track inventory levels, and maintain accurate production data</p>\n</li>\n<li><p>Ensure data integrity within planning systems, including bills of materials (BOMs), routings, and lead times</p>\n</li>\n<li><p>Support system improvements and enhancements to increase planning efficiency and visibility.</p>\n</li>\n<li><p>Collaborate with procurement to ensure timely availability of materials required for production</p>\n</li>\n<li><p>Interface with engineering and quality teams to incorporate design changes, process updates, and compliance requirements into production plans</p>\n</li>\n<li><p>Communicate production schedules, risks, and changes to stakeholders across the organization</p>\n</li>\n<li><p>Track key performance indicators (KPIs) such as on-time delivery, schedule adherence, inventory levels, and capacity utilization</p>\n</li>\n<li><p>Analyze production data to identify bottlenecks, inefficiencies, and opportunities for improvement</p>\n</li>\n<li><p>Support continuous improvement initiatives related to planning processes, system utilization, and operational performance</p>\n</li>\n<li><p>Assist in capacity planning, scenario analysis, and long-range production planning efforts</p>\n</li>\n<li><p>Support audits, reporting, and documentation requirements related to production and inventory management</p>\n</li>\n<li><p>Ensure compliance with company policies, safety standards, and applicable regulatory requirements</p>\n</li>\n</ul>\n<p>SKILLS &amp; QUALIFICATIONS:</p>\n<ul>\n<li>Bachelor’s degree in Supply Chain Management, Operations Management, Engineering, Business Administration, or a related field; equivalent combination of education and relevant experience will be considered</li>\n<li>Experience in production planning, scheduling, supply chain, or manufacturing operations within an industrial or manufacturing environment</li>\n<li>Demonstrated experience working with ERP/MRP systems (e.g., NetSuite, SAP, Oracle) for order management, production scheduling, and inventory control</li>\n<li>Strong analytical skills with the ability to interpret data, identify constraints, and develop actionable production plans</li>\n<li>Proficiency in Microsoft Office applications, particularly Excel (advanced functions, data analysis, and reporting)</li>\n<li>Ability to communicate effectively across cross-functional teams and support decision-making through data-driven insights</li>\n<li>Experience with data analysis and visualization tools (e.g., Power BI, Tableau) is preferred</li>\n<li>Familiarity with production scheduling, capacity planning, inventory management, and continuous improvement methodologies is preferred</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Health, Dental &amp; Vision Insurance</li>\n<li>Health Savings Account</li>\n<li>Disability and Life Insurance</li>\n<li>401K Plan</li>\n<li>Paid Time Off, Holidays</li>\n</ul>\n<p>Work Environment:\nThe work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Work is mostly performed in a normal office setting with minimal exposure to health or safety hazards, and with substantial time spent working on a computer. Requires sufficient hand, arm, and finger dexterity to operate computer keyboard and other office equipment. The performance of this position may occasionally require exposure to manufacturing areas which require the use of personal protective equipment such as safety glasses</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_dbf13c07-a48","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Standard Nuclear","sameAs":"https://www.standardnuclear.com/","logo":"https://logos.yubhub.co/standardnuclear.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/standardnuclearinc/jobs/5177791008","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Production planning","Scheduling","Supply chain management","ERP/MRP systems","Data analysis","Microsoft Office","Excel","Communication","Teamwork"],"x-skills-preferred":["Data analysis and visualization tools","Production scheduling","Capacity planning","Inventory management","Continuous improvement methodologies"],"datePosted":"2026-04-17T12:59:29.004Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oak Ridge, TN"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Manufacturing","skills":"Production planning, Scheduling, Supply chain management, ERP/MRP systems, Data analysis, Microsoft Office, Excel, Communication, Teamwork, Data analysis and visualization tools, Production scheduling, Capacity planning, Inventory management, Continuous improvement methodologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2e8a2997-260"},"title":"Senior Infrastructure Engineer","description":"<p>We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning and working in highly ambiguous problem spaces.</p>\n<p>About the company:\nThe mining industry has steadily become worse at finding new ore deposits, requiring &gt;10X more capital to make discoveries compared to 30 years ago. KoBold Metals builds AI models for mineral exploration and deploys those models,alongside our novel sensors,to guide decisions on KoBold-owned-and-operated exploration programs.</p>\n<p>About The Role:\nIn this role, you will partner with exploration and engineering teams to build reliable, scalable infrastructure that makes it easier to turn data and models into real-world exploration insights. You will improve observability, streamline MLOps workflows, and maintain shared tools like JupyterHub that enable faster experimentation and collaboration. Your work will help create a solid foundation for scientists and engineers to focus on discovery instead of infrastructure.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Design, build, and operate compute infrastructure that is both scalable and reliable to support critical services.</li>\n<li>Work closely with engineering teams to embed observability, reliability, and security throughout the software development process.</li>\n<li>Create and maintain automation for monitoring, deployments, and incident response to keep operations efficient and predictable.</li>\n<li>Lead or support capacity planning, performance reviews, and system tuning to ensure stable and efficient systems.</li>\n<li>Join the on-call rotation and take part in incident response, troubleshooting, and resolution.</li>\n<li>Develop and refine monitoring and alerting to catch issues early and reduce downtime.</li>\n<li>Establish and maintain disaster recovery and business continuity practices that protect the organization against failures.</li>\n<li>Regularly review and improve our tools and processes to strengthen system visibility and reliability.</li>\n<li>Investigate points of fragility in distributed systems and understand how complex systems behave under stress in order to improve resilience.</li>\n<li>Continually learn about mineral exploration through reading, discussions with exploration team members, periodic rotation on an exploration team and time in the field with geologists</li>\n</ul>\n<p>Qualifications</p>\n<ul>\n<li>5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer or in a similar role</li>\n<li>Strong scripting and programming skills (Python, Go, Java or JavaScript/ Node.js )</li>\n<li>Experience with IaC tools like Terraform and container orchestration tools like Kubernetes and Docker</li>\n<li>Experience with cloud platforms such as AWS</li>\n<li>Experience operating or administering JupyterHub in a multi-user environment</li>\n<li>Understanding of MLOps workflows, including model training, deployment, and related tooling</li>\n<li>Excellent communication &amp; collaboration skills and a continuous improvement mindset</li>\n<li>Proven ability to troubleshoot complex issues and implement effective solutions</li>\n<li>Proven ability to thrive in dynamic and evolving environments, effectively navigating uncertainty and incomplete information.</li>\n<li>Proven ability to grow expertise, influence &amp; educate others</li>\n<li>Comfortable making informed decisions with limited data, adapting quickly to new circumstances, and maintaining focus on strategic objectives while driving clarity for the team.</li>\n<li>Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.</li>\n<li>Ability to explain technical problems to and collaborate on solutions with domain experts who are not infrastructure engineers. A strong communicator who enjoys working with colleagues across the company.</li>\n<li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.</li>\n<li>Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.</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_2e8a2997-260","directApply":true,"hiringOrganization":{"@type":"Organization","name":"KoBold Metals","sameAs":"https://koboldmetals.com/","logo":"https://logos.yubhub.co/koboldmetals.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/koboldmetals/jobs/4002126005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170,000 - $230,000","x-skills-required":["scripting","programming","IaC","container orchestration","cloud platforms","MLOps workflows","observability","reliability","security","automation","monitoring","deployments","incident response","capacity planning","performance reviews","system tuning","disaster recovery","business continuity","tools","processes","distributed systems","complex systems","resilience","mineral exploration","geology"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:40:33.164Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"scripting, programming, IaC, container orchestration, cloud platforms, MLOps workflows, observability, reliability, security, automation, monitoring, deployments, incident response, capacity planning, performance reviews, system tuning, disaster recovery, business continuity, tools, processes, distributed systems, complex systems, resilience, mineral exploration, geology","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3999ca5d-6fc"},"title":"Engineering Manager, Privy","description":"<p>About Privy</p>\n<p>Privy is a developer tooling company that empowers users to take control of their online presence. We&#39;re looking for an experienced Engineering Manager to lead and grow a team of Infrastructure engineers.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead and grow a high-performing team of Infrastructure engineers</li>\n<li>Drive the future vision of infrastructure alongside talented infrastructure engineers</li>\n<li>Hold the team accountable to excellence in quality, throughput, and performance</li>\n<li>Ensure the team is working on the right scope of work and projects, align decisions with business impact</li>\n<li>Fill gaps as a player-coach; review PRs, write and review design docs, investigate incidents</li>\n<li>Coach engineers towards growth and their career goals</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunity to work with a talented team of engineers</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Deep ownership and a high-level perspective on driving overall business impact</li>\n<li>Performance-oriented mindset, with a high bar for quality and excellence</li>\n<li>Technical excellence to be able to independently evaluate quality and technical feedback</li>\n<li>High emotional maturity, insightfulness, and care</li>\n<li>Strong past experience as a manager and leader</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li>Experience with designing and operating systems supporting hundreds of millions of users</li>\n<li>Secure enclave platforms, like AWS Nitro Enclaves</li>\n<li>Observability, incident response, capacity planning, performance tuning, and infrastructure automation (IaC, CI/CD for infra)</li>\n<li>Background in building low-latency, high-throughput systems for trading or payment processing</li>\n<li>Any blend of public cloud/BYOC architectures</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_3999ca5d-6fc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Privy","sameAs":"https://privy.com","logo":"https://logos.yubhub.co/privy.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7729216","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["secure enclave platforms","observability","incident response","capacity planning","performance tuning","infrastructure automation","IaC","CI/CD for infra"],"x-skills-preferred":["designing and operating systems","low-latency, high-throughput systems","public cloud/BYOC architectures"],"datePosted":"2026-03-31T18:18:40.254Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"NYC-Privy"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"secure enclave platforms, observability, incident response, capacity planning, performance tuning, infrastructure automation, IaC, CI/CD for infra, designing and operating systems, low-latency, high-throughput systems, public cloud/BYOC architectures"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_22fe5cb2-ba9"},"title":"Engineering Manager, Datastores","description":"<p>At Webflow, we&#39;re building the world&#39;s leading AI-native Digital Experience Platform, and we&#39;re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity.</p>\n<p>This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers.</p>\n<p>We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.</p>\n<p>We&#39;re looking for an Engineering Manager, Datastores to lead the team responsible for the reliability, scalability, and evolution of Webflow’s core production databases , primarily MongoDB and PostgreSQL. This team operates at the heart of our application and hosting stack, enabling product teams to ship confidently while maintaining high standards of performance, durability, security, and data residency.</p>\n<p>Webflow’s product and hosting platform operates at a significant scale. The Datastores team sits at a critical boundary between application velocity and system durability. This is a high-leverage leadership role at the core of Webflow’s infrastructure strategy.</p>\n<p><strong>About the role:</strong></p>\n<ul>\n<li>Lead and grow a team of Database engineers responsible for MongoDB and PostgreSQL in production.</li>\n<li>Own the operational excellence of our database layer, including availability, durability, performance, cost efficiency, and data residency.</li>\n<li>Drive roadmap and strategy for multi-region architecture, backup and disaster recovery, indexing and schema governance, capacity planning, and infrastructure automation (Pulumi/Terraform).</li>\n<li>Partner with Product Engineering to guide new access patterns, review high-impact launches for database risk, and establish guardrails that enable velocity without compromising reliability.</li>\n<li>Improve reliability through proactive failure-mode detection, clear SLOs, actionable alerting, and high-quality incident response and retrospectives.</li>\n<li>Build self-service tooling and paved roads for migrations, connection management, indexing, and query best practices.</li>\n<li>Mentor and grow senior and staff engineers while contributing to broader infrastructure strategy across AWS, Kubernetes, and stateful systems architecture.</li>\n</ul>\n<p><strong>About you:</strong></p>\n<ul>\n<li>BS / BA college degree or relevant experience</li>\n<li>Business-level fluency to read, write and speak in English</li>\n<li>2+ years of experience leading high-performing engineering teams.</li>\n<li>6+ years of hands-on experience operating and scaling production databases (MongoDB and/or PostgreSQL preferred).</li>\n<li>Experience running business-critical, high-throughput systems with strong availability and durability requirements.</li>\n</ul>\n<p>You’ll thrive in this role if you:</p>\n<ul>\n<li>Bring deep expertise in operating and scaling production databases (e.g., replication, failover, indexing, query planning, migrations) and have led teams supporting stateful, multi-region systems with strict uptime requirements.</li>\n<li>Balance strong architectural judgment with pragmatism , evolving our datastore strategy while enabling product teams to ship quickly and safely.</li>\n<li>Think in terms of SLOs, capacity models, and long-term architectural trade-offs, with hands-on experience in infrastructure as code (Pulumi/Terraform), Kubernetes, and AWS.</li>\n<li>Bring strong systems-level thinking to performance and reliability, identifying root causes across application, database, and infrastructure layers and building preventative solutions.</li>\n<li>Lead calmly through high-severity incidents, drive blameless postmortems and systemic improvements, and build strong cross-functional relationships grounded in craftsmanship and continuous improvement.</li>\n<li>Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.</li>\n</ul>\n<p><strong>Our Core Behaviors:</strong></p>\n<ul>\n<li>Build lasting customer trust.</li>\n<li>Win together.</li>\n<li>Reinvent ourselves.</li>\n<li>Deliver with speed, quality, and craft.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Ownership in what you help build.</li>\n<li>Health coverage that actually covers you.</li>\n<li>Support for every stage of family life.</li>\n<li>Time off that’s actually off.</li>\n<li>Wellness for the whole you.</li>\n<li>Invest in your future.</li>\n<li>Monthly stipends that flex with your life.</li>\n<li>Bonus for building together.</li>\n</ul>\n<p><strong>Be you, with us:</strong></p>\n<p>At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.</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_22fe5cb2-ba9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Webflow","sameAs":"https://webflow.com/","logo":"https://logos.yubhub.co/webflow.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/webflow/jobs/7648674","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["database engineering","MongoDB","PostgreSQL","infrastructure automation","Pulumi/Terraform","Kubernetes","AWS","leadership","team management","operational excellence","availability","durability","performance","cost efficiency","data residency","multi-region architecture","backup and disaster recovery","indexing and schema governance","capacity planning","self-service tooling","paved roads","migrations","connection management","query best practices"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:17:49.720Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"database engineering, MongoDB, PostgreSQL, infrastructure automation, Pulumi/Terraform, Kubernetes, AWS, leadership, team management, operational excellence, availability, durability, performance, cost efficiency, data residency, multi-region architecture, backup and disaster recovery, indexing and schema governance, capacity planning, self-service tooling, paved roads, migrations, connection management, query best practices"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ac012549-95e"},"title":"Fraud Operations Manager","description":"<p>We are hiring a Fraud Operations Manager to lead our Fraud Operations Centre in Bangalore. As a people leader, you will manage team leads and senior associates, setting clear expectations, coaching performance, and building a high-judgement culture rooted in strong decisioning and customer empathy.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the Bangalore Fraud Operations Centre, managing team leads and senior associates</li>\n<li>Own core fraud investigations and complex investigations, including escalations and time-sensitive incident response in partnership with global Fraud/Risk stakeholders</li>\n<li>Establish and run the operating system for the org: goal setting, team cadences, SOPs, change management, queue health, SLAs, QA programs, calibration, and readiness for new products/markets</li>\n<li>Define, develop, and represent key operational and risk metrics for the Bangalore centre (through dashboards and recurring readouts), translating data into actions and priorities</li>\n<li>Drive process development and continuous improvement: root cause analysis, defect reduction, policy adherence, and consistency across reviewers and teams</li>\n<li>Partner with other Risk teams to evolve fraud tooling and workflows (manual and automated actioning), including safe rollout and measurement of changes</li>\n<li>Support outsourcing relevant workflows: identify transition candidates, design/standardize processes for hand off, and support training as needed</li>\n<li>Own staffing models, capacity planning, scheduling, hiring plans, onboarding, and training strategy to meet business needs while maintaining a high bar for quality and user experience</li>\n<li>Maintain close “floor” engagement: regularly dive into cases, review decisions, support frontline judgment, and ensure feedback loops translate into measurable improvements</li>\n<li>Partner with recruiting to define role profiles and interview loops, drive bar-raising hiring decisions, and build a diverse team</li>\n<li>Own career development and succession planning, team health and engagement</li>\n<li>Build a great culture, a destination workplace, fostering our values, serving as a beacon of Stripe’s user-centric philosophy and culture of transparency, empathy, inclusion, and empowerment</li>\n</ul>\n<p>You are an operations leader who can scale fraud investigation and review programs while staying close to the details. You are fluent in running high-performing teams through clear metrics and operating cadence, and you can partner cross-functionally to evolve tooling and processes. You bring sound judgment, calm execution under pressure, and a bias toward data-backed solutions and measurable improvements in both fraud outcomes and user experience.</p>\n<p>Minimum requirements:</p>\n<ul>\n<li>Experience leading cross-functional initiatives and driving change through ambiguity, including new workflows for new products, markets, or emerging fraud patterns</li>\n<li>Experience leading fraud, risk, trust &amp; safety, or investigations operations in a high-scale environment, including managing managers/team leads</li>\n<li>Ability to partner effectively with internal globally distributed stakeholders and comfortable leading internal teams and vendors</li>\n<li>Proven ability to define and operationalize metrics (e.g., accuracy/quality, SLAs, throughput, loss outcomes, appeals/rework, user friction) and use data to drive priorities</li>\n<li>Comfort working across detection systems and manual/automated actioning systems; ability to translate operational needs into product/engineering requirements</li>\n<li>Strong operational background including new process launches, service delivery and strong at building operating models</li>\n<li>Excellent written and verbal communication skills, including presenting in operational reviews and representing the team in high-pressure escalations in English</li>\n<li>Skill and credibility doing the core work of a user-facing team with a high bar for quality, and a willingness to lead by example</li>\n<li>At least 7+ years of direct people management experience; this includes handling performance management and proactively coach/mentor individuals</li>\n<li>Experience with payments, risk, compliance, or financial industry operations</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Demonstrated ability to run an operations centre: capacity planning, scheduling, queue management, performance management, and quality programs</li>\n<li>Strong fraud domain depth across investigation workflows, risk vectors, and decision frameworks; able to independently review cases and guide frontline judgment</li>\n<li>Experience scaling or transforming fraud review operations through process redesign, tooling improvements, and/or vendor partnerships</li>\n<li>Experience with payments risk (CNP/card testing, ATO, merchant fraud, transaction fraud) and familiarity with how upstream detection and downstream enforcement interact</li>\n<li>Strong analytics proficiency (building/owning dashboards; querying data directly) and comfort partnering deeply with data science/engineering</li>\n<li>Experience operating in a global, follow-the-sun model and partnering across time zones</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_ac012549-95e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7608396","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["fraud investigation","risk management","operations leadership","team management","process development","continuous improvement","data analysis","fraud tooling","workflow management","capacity planning","scheduling","queue management","performance management","quality programs","operating models","payments risk","compliance","financial industry operations"],"x-skills-preferred":["fraud domain depth","investigation workflows","risk vectors","decision frameworks","process redesign","tooling improvements","vendor partnerships","CNP/card testing","ATO","merchant fraud","transaction fraud","analytics proficiency","data science","engineering"],"datePosted":"2026-03-31T18:15:48.331Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"fraud investigation, risk management, operations leadership, team management, process development, continuous improvement, data analysis, fraud tooling, workflow management, capacity planning, scheduling, queue management, performance management, quality programs, operating models, payments risk, compliance, financial industry operations, fraud domain depth, investigation workflows, risk vectors, decision frameworks, process redesign, tooling improvements, vendor partnerships, CNP/card testing, ATO, merchant fraud, transaction fraud, analytics proficiency, data science, engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a51375e8-30e"},"title":"Member of Technical Staff, Software Co-Design AI HPC Systems","description":"<p>Our team&#39;s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost. Our work spans today&#39;s frontier AI workloads and directly shapes the next generation of accelerators, system architectures, and large-scale AI platforms. We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures. This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale. In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.</p>\n<p>About the Team</p>\n<p>We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.</p>\n<p>Microsoft Superintelligence Team</p>\n<p>Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!</p>\n<p>Responsibilities</p>\n<p>Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.</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_a51375e8-30e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-software-co-design-ai-hpc-systems-mai-superintelligence-team-3/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI accelerator or GPU architectures","Distributed systems and large-scale AI training/inference","High-performance computing (HPC) and collective communications","ML systems, runtimes, or compilers","Performance modeling, benchmarking, and systems analysis","Hardware–software co-design for AI workloads","Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development"],"x-skills-preferred":["Experience designing or operating large-scale AI clusters for training or inference","Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications","Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand)","Background in performance modeling and capacity planning for future hardware generations","Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews","Publications, patents, or open-source contributions in systems, architecture, or ML systems"],"datePosted":"2026-03-08T22:18:41.443Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI accelerator or GPU architectures, Distributed systems and large-scale AI training/inference, High-performance computing (HPC) and collective communications, ML systems, runtimes, or compilers, Performance modeling, benchmarking, and systems analysis, Hardware–software co-design for AI workloads, Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development, Experience designing or operating large-scale AI clusters for training or inference, Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications, Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand), Background in performance modeling and capacity planning for future hardware generations, Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews, Publications, patents, or open-source contributions in systems, architecture, or ML systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd1a0d16-311"},"title":"Member of Technical Staff, Software Co-Design AI HPC Systems","description":"<p>Our team&#39;s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost.</p>\n<p>We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.</p>\n<p>This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.</p>\n<p>In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.</p>\n<p>Microsoft Superintelligence Team\nMicrosoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.</p>\n<p>Responsibilities\nLead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.</p>\n<p>Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.</p>\n<p>Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.</p>\n<p>Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.</p>\n<p>Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.</p>\n<p>Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.</p>\n<p>Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.</p>\n<p>Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.</p>\n<p>Qualifications\nBachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Additional or Preferred Qualifications\nMaster’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.</p>\n<p>Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. Experience designing or operating large-scale AI clusters for training or inference. Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). Background in performance modeling and capacity planning for future hardware generations. Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.</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_cd1a0d16-311","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-software-co-design-ai-hpc-systems-mai-superintelligence-team-2/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$139,900 – $274,800 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","AI accelerator or GPU architectures","Distributed systems and large-scale AI training/inference","High-performance computing (HPC) and collective communications","ML systems, runtimes, or compilers","Performance modeling, benchmarking, and systems analysis","Hardware–software co-design for AI workloads","Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development"],"x-skills-preferred":["LLMs, multimodal models, or recommendation systems, and their systems-level implications","Accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand)","Performance modeling and capacity planning for future hardware generations","Contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews","Publications, patents, or open-source contributions in systems, architecture, or ML systems"],"datePosted":"2026-03-08T22:13:30.666Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, AI accelerator or GPU architectures, Distributed systems and large-scale AI training/inference, High-performance computing (HPC) and collective communications, ML systems, runtimes, or compilers, Performance modeling, benchmarking, and systems analysis, Hardware–software co-design for AI workloads, Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development, LLMs, multimodal models, or recommendation systems, and their systems-level implications, Accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand), Performance modeling and capacity planning for future hardware generations, Contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews, Publications, patents, or open-source contributions in systems, architecture, or ML systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8516ca2f-5df"},"title":"Data Science Engineer, Capacity & Efficiency","description":"<p><strong>About the Role</strong></p>\n<p>As a member of the Compute team, you will play a critical role in Anthropic&#39;s mission of building safe and beneficial AI by ensuring we understand, optimize, and strategically manage our cloud infrastructure spend. Your work will directly impact how efficiently we operate our multi-cloud and datacenter footprint, from forecasting infrastructure needs and planning capacity, to driving utilization improvements and reducing unit costs across our compute, storage, and networking resources.</p>\n<p>You will work closely with Compute Finance, Infrastructure Engineers, and Product to translate raw cloud billing data into actionable efficiency insights and influence capacity planning &amp; allocation. You will help build deep visibility into our infrastructure spend, forecast capacity needs, attribute costs accurately across teams and workloads, model resource demand curves, and help identify efficiency opportunities across our fleet.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build and maintain cloud cost attribution models that accurately allocate infrastructure spend (compute, accelerators, storage, networking, data transfer) across teams, products, and workloads, providing clear visibility into who is spending what and why.</li>\n</ul>\n<ul>\n<li>Build and maintain cost of revenue pipelines and models</li>\n</ul>\n<ul>\n<li>Partner with infrastructure, finance, and procurement stakeholders to analyse utilization patterns, identify inefficiencies, and drive optimization initiatives that improve the cost-effectiveness of our non-accelerator cloud resources.</li>\n</ul>\n<ul>\n<li>Develop forecasting models for non-accelerator infrastructure demand, incorporating business growth projections, product roadmaps, and historical spend trends to enable proactive capacity planning and budget accuracy.</li>\n</ul>\n<ul>\n<li>Define and track unit cost metrics (e.g., cost per request, cost per GB stored, cost per pipeline run) and identify opportunities to reduce them, influencing infrastructure and engineering roadmaps with data-driven recommendations.</li>\n</ul>\n<ul>\n<li>Develop unit cost economics for various workloads and applications, and using the metrics to drive efficiency efforts across product and infrastructure teams.</li>\n</ul>\n<ul>\n<li>Build a cost-aware culture across the organisation by creating self-serve dashboards, automated reporting, and accessible datasets that give engineering and finance teams clear visibility into cloud spend and efficiency metrics.</li>\n</ul>\n<p><strong>You might be a good fit if you have:</strong></p>\n<ul>\n<li>6+ years of experience in data science, analytics, or FinOps roles, with a focus on cloud infrastructure cost analysis, capacity planning, or efficiency optimisation.</li>\n</ul>\n<ul>\n<li>Experience building spend forecasting models and large-scale cost attribution systems.</li>\n</ul>\n<ul>\n<li>Deep knowledge of cloud billing systems, cost allocation methodologies, and spend optimisation levers (e.g., reserved instances, committed use discounts, rightsizing, spot/preemptible usage).</li>\n</ul>\n<ul>\n<li>A passion for the company&#39;s mission of building helpful, honest, and harmless AI.</li>\n</ul>\n<ul>\n<li>Expertise in Python, SQL, forecasting, data modelling and data visualisation tools.</li>\n</ul>\n<ul>\n<li>A bias for action and urgency, not letting perfect be the enemy of the effective.</li>\n</ul>\n<ul>\n<li>A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.</li>\n</ul>\n<ul>\n<li>A deep curiosity and energy for pulling the thread on hard questions.</li>\n</ul>\n<ul>\n<li>Experience in turning open questions and data into concise and insightful analysis.</li>\n</ul>\n<ul>\n<li>Highly effective written communication and presentation skills.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> 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> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.</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_8516ca2f-5df","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/5125881008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$275,000 - $370,000 USD","x-skills-required":["cloud infrastructure cost analysis","capacity planning","efficiency optimisation","Python","SQL","forecasting","data modelling","data visualisation"],"x-skills-preferred":["reserved instances","committed use discounts","rightsizing","spot/preemptible usage"],"datePosted":"2026-03-08T13:59:33.909Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud infrastructure cost analysis, capacity planning, efficiency optimisation, Python, SQL, forecasting, data modelling, data visualisation, reserved instances, committed use discounts, rightsizing, spot/preemptible usage","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":275000,"maxValue":370000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7b2b97d5-0a1"},"title":"Software Engineer, Inference Deployment","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>Our mandate is to make inference deployment boring and unattended.</p>\n<p>Anthropic serves Claude to millions of users across GPUs, TPUs, and Trainium — and every model update must reach production safely, quickly, and without disrupting service. We&#39;re building the systems that make inference deployment continuous and unattended.</p>\n<p>As a Software Engineer on the Launch Engineering team, you&#39;ll design and build the deployment infrastructure that moves inference code from merge to production. This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic — your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You&#39;ll build systems that navigate these constraints — orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.</p>\n<p>If you&#39;ve built deployment systems at scale and gravitate toward the hardest problems at the intersection of automation and resource management, this team will give you an outsized scope to work on them.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li><strong>Own deployment orchestration</strong> that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions</li>\n<li><strong>Improve capacity-aware deployment scheduling</strong> to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes</li>\n<li><strong>Extend deployment observability</strong> — dashboards and tooling that answer &quot;what code is running in production,&quot; &quot;where is my commit,&quot; and &quot;what validation passed for this deploy&quot;</li>\n<li><strong>Drive down cycle time</strong> from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism</li>\n<li><strong>Optimize fleet rollout strategies</strong> for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity</li>\n<li><strong>Evolve self-service model onboarding</strong> so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement</li>\n<li><strong>Partner across the Inference organization</strong> with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems</li>\n</ul>\n<p><strong>You May Be a Good Fit If You Have</strong></p>\n<ul>\n<li>5+ years of experience building deployment, release, or delivery infrastructure at scale</li>\n<li>Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines</li>\n<li>Experience with deployment systems where resource constraints shape the design — whether that&#39;s fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows</li>\n<li>A track record of building automation that measurably improves deployment velocity and reliability</li>\n<li>Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration</li>\n<li>Comfort working across the stack — from backend services and databases to CLI tools and web UIs</li>\n<li>Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)</li>\n<li>Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)</li>\n<li>Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback</li>\n<li>Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)</li>\n<li>Experience with Python and/or Rust in production systems</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> 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> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p 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_7b2b97d5-0a1","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/5111745008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $485,000USD","x-skills-required":["deployment","release","delivery","infrastructure","Kubernetes","container","orchestration","pipelines","state machines","multi-stage","pipelines","parallelism","optimization","resource management","automation","velocity","reliability","communication","collaboration","oncall","model teams","infrastructure partners"],"x-skills-preferred":["ML inference","training infrastructure","capacity planning","resource-constrained scheduling","bin-packing","fleet management","job scheduling","hardware affinity","progressive delivery","canary/soak testing","blue-green deployments","traffic shifting","automated rollback","mobile release trains","monorepo deployments","multi-datacenter rollouts","Python","Rust"],"datePosted":"2026-03-08T13:54:19.012Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deployment, release, delivery, infrastructure, Kubernetes, container, orchestration, pipelines, state machines, multi-stage, pipelines, parallelism, optimization, resource management, automation, velocity, reliability, communication, collaboration, oncall, model teams, infrastructure partners, ML inference, training infrastructure, capacity planning, resource-constrained scheduling, bin-packing, fleet management, job scheduling, hardware affinity, progressive delivery, canary/soak testing, blue-green deployments, traffic shifting, automated rollback, mobile release trains, monorepo deployments, multi-datacenter rollouts, Python, Rust","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6acb1ca2-f64"},"title":"Support Operations Analyst","description":"<p>As a Support Operations Analyst, you will build the analytical and workforce planning foundation that enables Anthropic&#39;s support organisation to scale intelligently. This role sits at the intersection of data analysis, capacity planning, and operational strategy—providing the insights leadership needs to make confident decisions about staffing, investment, and service levels.</p>\n<p>You&#39;ll own forecasting and capacity planning across our support organisation, including FTE teams, AI-powered support channels, and vendor/contractor partnerships. This means building models that predict volume based on product launches, model releases, and customer growth; analysing the relationship between support metrics and business outcomes; and ensuring we have the right resources in the right places to meet our service commitments.</p>\n<p>This is a high-ambiguity role where you&#39;ll often be building from scratch. We&#39;re looking for someone who can create structure where none exists, ask the right questions to scope problems, and translate messy data into narratives that drive action.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build and maintain staffing models that translate SLA targets into headcount requirements across FTE and vendor teams</li>\n<li>Forecast support volume by analysing historical trends, product release calendars, model launches, and customer base growth projections</li>\n<li>Factor AI support effectiveness (automation rates, deflection, Fin AI Agent performance) into capacity models to ensure accurate human staffing projections</li>\n<li>Partner with vendor managers to align contractor capacity with demand forecasts and service level requirements</li>\n<li>Model scenarios to inform strategic decisions about staffing investments, vendor mix, and coverage models</li>\n<li>Develop frameworks for prioritising automation initiatives based on volume impact and deflection potential</li>\n</ul>\n<p><strong>Analytics &amp; Reporting:</strong></p>\n<ul>\n<li>Maintain and enhance dashboards that track productivity, response times, CSAT, queue health, and other key support metrics</li>\n<li>Investigate the relationship between support performance and business outcomes (e.g., how response time and satisfaction impact retention and churn)</li>\n<li>Surface trends and insights that inform operational decisions—identifying what&#39;s driving volume, where bottlenecks emerge, and where investment is needed</li>\n<li>Translate complex data into clear recommendations for leadership and cross-functional partners</li>\n</ul>\n<p><strong>Operational Partnership:</strong></p>\n<ul>\n<li>Collaborate with Support Ops, AI Support, and Human Support teams to ensure data and forecasts align with operational reality</li>\n<li>Partner with Finance on headcount planning, budget alignment, and quarterly capacity reviews</li>\n<li>Work with Product and Engineering to anticipate how launches and feature changes will impact support demand</li>\n<li>Contribute to vendor performance management by establishing metrics frameworks and reporting cadences</li>\n</ul>\n<p><strong>You might be a good fit if you:</strong></p>\n<ul>\n<li>Have 4+ years of experience in workforce management, support operations analytics, business analytics, or similar roles—ideally in a support or customer success context</li>\n<li>Are deeply analytical with strong SQL skills and experience with data warehouses (e.g., BigQuery) and analysis tools like Hex, Looker, or similar</li>\n<li>Have hands-on experience with forecasting and capacity planning, including modelling staffing needs against service level targets</li>\n<li>Are comfortable working with ambiguity—you can take a vague question, scope it into an answerable problem, and deliver insights that drive decisions</li>\n<li>Understand support operations metrics (SLAs, handle time, CSAT, deflection rates) and can connect them to business impact</li>\n<li>Have experience working with BPO or vendor partners on staffing, performance, and capacity alignment</li>\n<li>Communicate clearly—you can translate technical analysis into narratives that resonate with both operational teams and executives</li>\n<li>Are curious about AI and excited to work in an environment where the product and support landscape evolve rapidly</li>\n<li>Thrive in fast-paced environments and can balance building foundational infrastructure with responding to urgent business questions</li>\n<li>Have experience with workforce management platforms (e.g., Assembled, NICE, Calabrio) is a plus, but not required</li>\n</ul>\n<p>The annual compensation range for this role is $131,040 - $165,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6acb1ca2-f64","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5080931008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$131,040 - $165,000 USD","x-skills-required":["SQL","data warehouses","analysis tools","forecasting","capacity planning","workforce management","support operations analytics","business analytics"],"x-skills-preferred":["Hex","Looker","BigQuery","Assembled","NICE","Calabrio"],"datePosted":"2026-03-08T13:52:12.240Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"SQL, data warehouses, analysis tools, forecasting, capacity planning, workforce management, support operations analytics, business analytics, Hex, Looker, BigQuery, Assembled, NICE, Calabrio","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":131040,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3ce6bbd9-a35"},"title":"Support Partner Manager","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Support Partner Manager</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$234K – $260K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Support team is central to ensuring that our customers&#39; experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI&#39;s customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Support Partner Manager (Vendor Manager), you will own the health, performance, and long-term scalability of multiple support partner and vendor relationships. This is a vendor leadership role first and foremost: you will drive commercial and operational accountability (SLAs, QBRs, escalation paths, remediation plans), while also building the operating model that enables support to scale without linear headcount growth.</p>\n<p>A core component of this role (approximately 25–30%) is establishing how we do Workforce Management (WFM) across both internal teams and external BPO partners. This is not an intraday scheduling or WFM analyst role. Instead, you will define the frameworks, standards, and systems for forecasting, capacity planning, staffing strategy, and performance-to-plan—then partner with Operations, Data, Systems/Tooling, and vendor leaders to implement and run them.</p>\n<p>You’ll collaborate closely with User Operations teams (e.g., Trust &amp; Safety, Fraud &amp; Risk), Systems/Tooling, Data partners, and Product/PM stakeholders as we launch new workflow and launch and scale new programs.</p>\n<p><strong>In this role you will drive:</strong></p>\n<ul>\n<li><strong>End-to-end vendor leadership:</strong> Own day-to-day oversight, relationship health, and executive-level accountability for multiple support vendors/BPOs.</li>\n</ul>\n<ul>\n<li><strong>Performance management &amp; remediation:</strong> Define and manage SLA/KPI performance expectations, run WBRs/QBRs, identify performance gaps, and drive structured turnaround plans with clear owners and timelines.</li>\n</ul>\n<ul>\n<li><strong>Escalation and risk management:</strong> Serve as the primary escalation point for vendor issues, including incident response, surge events, quality regressions, and continuity risks; ensure vendors have strong operational controls and playbooks.</li>\n</ul>\n<ul>\n<li><strong>Commercial and operational governance:</strong> Partner on contract levers, staffing commitments, service scope changes, and operational cadences; ensure governance mechanisms produce measurable outcomes.</li>\n</ul>\n<ul>\n<li><strong>Workforce Management (WFM) operating model design (25 - 30%):</strong></li>\n</ul>\n<ul>\n<li>Establish the WFM approach across internal and BPO teams (forecasting, capacity planning, staffing assumptions, coverage standards).</li>\n</ul>\n<ul>\n<li>Stand up a consistent planning cadence tied to business drivers (weekly/monthly/quarterly) and ensure partners operate to it.</li>\n</ul>\n<ul>\n<li><strong>Operational reporting and executive narratives:</strong> Produce clear, decision-ready reporting on vendor health, capacity risk, and scaling constraints; translate operational signals into recommendations for leadership.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>5+ years in vendor/BPO operations management, support operations, or partner performance leadership in a scaled environment.</li>\n</ul>\n<ul>\n<li>Proven ability to run vendor governance: QBRs, SLA/KPI design, escalation paths, remediation plans, and cross-functional stakeholder management.</li>\n</ul>\n<ul>\n<li>Awareness of and some experience with workforce planning approaches—e.g., forecasting frameworks, capacity models, staffing strategies, and performance-to-plan systems. across global, multi-site support operations.</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_3ce6bbd9-a35","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/d4084bb6-f9fa-46df-87ef-da6caed88455","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$234K – $260K • Offers Equity","x-skills-required":["vendor leadership","performance management","remediation","escalation and risk management","commercial and operational governance","workforce management","forecasting","capacity planning","staffing strategy","performance-to-plan systems"],"x-skills-preferred":["vendor governance","SLA/KPI design","escalation paths","remediation plans","cross-functional stakeholder management","workforce planning","forecasting frameworks","capacity models","staffing strategies"],"datePosted":"2026-03-06T18:38:31.436Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"vendor leadership, performance management, remediation, escalation and risk management, commercial and operational governance, workforce management, forecasting, capacity planning, staffing strategy, performance-to-plan systems, vendor governance, SLA/KPI design, escalation paths, remediation plans, cross-functional stakeholder management, workforce planning, forecasting frameworks, capacity models, staffing strategies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":234000,"maxValue":260000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_53ae283c-75c"},"title":"Supply Chain Operations Program Manager, AI Infrastructure","description":"<p><strong>Job Summary</strong></p>\n<p>We are seeking a Supply Chain Operations Program Manager to serve as the single-threaded operational leader for new hardware introductions (NPI) and production ramps across OpenAI&#39;s AI infrastructure systems.</p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI&#39;s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models.</p>\n<p><strong>About the Role</strong></p>\n<p>This role combines hands-on execution with strategic ownership. You will be responsible for defining the operating model, aligning cross-functional stakeholders, setting the critical path, making informed tradeoffs, escalating decisively, and ensuring hardware programs deliver on schedule, quality, cost, and scalability.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Strategic &amp; Leadership Ownership</strong></p>\n<ul>\n<li>Act as the single-threaded owner for operational readiness across NPI and ramp, accountable for outcomes from early bring-up through sustained production</li>\n<li>Translate OpenAI&#39;s infrastructure strategy and engineering objectives into clear operating plans, execution priorities, and decision frameworks</li>\n<li>Drive alignment across Engineering, Operations, Strategic Sourcing, Finance, Capacity Planning, and Executive stakeholders by framing tradeoffs, risks, and recommendations</li>\n<li>Proactively identify inflection points where decisions or investments are required to protect long-term scale, 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readiness, yield targets, quality controls, and reliability gates</li>\n<li>Own end-to-end risk management—identification, mitigation planning, escalation, and executive-level communication</li>\n<li>Surface systemic bottlenecks, inefficiencies, or failure modes; propose and implement durable solutions across process, tooling, and organizational interfaces</li>\n<li>Build, formalize, and scale repeatable operating mechanisms that enable predictable, high-velocity hardware development</li>\n</ul>\n<p><strong>Systems, Process &amp; Partner Leadership</strong></p>\n<ul>\n<li>Define requirements for operational systems (e.g., PLM enablement), and partner with internal teams to implement, test, and operationalize them</li>\n<li>Establish clear scopes, roles, and responsibilities across internal teams and external partners to ensure clean execution boundaries</li>\n<li>Build strong, trust-based relationships with contract manufacturers, OEMs, and integrators—driving accountability, performance, and transparency</li>\n</ul>\n<p><strong>What You&#39;ll Get</strong></p>\n<ul>\n<li>Competitive salary: $177K – $285K</li>\n<li>Offers Equity</li>\n<li>Generous equity, performance-related bonus(es) for eligible employees, and the following benefits:</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you&#39;re passionate about leading the development of cutting-edge AI hardware and are looking for a challenging and rewarding role, please submit your application, including your resume and a cover letter, to [insert contact information].</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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We&#39;re looking for hands-on SQL Server database administrators to help design and build the future of Steam, our digital distribution platform.</p>\n<p>We take care of all aspects of database planning, implementation, and maintenance. We perform physical database implementation, including index tuning, storage management and partitioning, and scoping and integration of new datacenter hardware. We monitor, tune, and refactor database and server performance. We collaborate to implement database-related features, including data modeling, procedural code design, query tuning, and performance management. We design and implement schemes for data security, system availability, and disaster recovery, including backup, log shipping, mirroring and Always On.</p>\n<p>We also recruit database specialists like you. Do you prefer to collaborate with peers to define the work that you pursue? Valve&#39;s work environment is unique in that we rely on employees to be self-motivated, accountable, and able to recognize where to focus energy. If you&#39;re seeking an opportunity to improve upon processes and systems while continuing to call upon your database administration skills, consider joining Valve.</p>\n<p>Database administrators at Valve have significant industry experience related to database design, implementation, and maintenance. Typical skills include:</p>\n<ul>\n<li>Expertise with relational database management systems such as Microsoft SQL Server.</li>\n<li>Database administration experience in large-scale high-availability environments.</li>\n<li>Task automation and configuration management with languages such as PowerShell, Python, etc.</li>\n<li>Design and management of disk storage systems</li>\n<li>Capacity planning and system integration</li>\n<li>Networking systems</li>\n</ul>\n<p>What We Offer</p>\n<ul>\n<li>An organization where 100% of time is dedicated as groups see fit</li>\n<li>The opportunity to collaborate with experts across a range of disciplines</li>\n<li>A work environment and flexible schedule in support of families and domestic partnerships</li>\n<li>A culture eager to become stronger through diversity of all forms</li>\n<li>Exceptional health insurance coverage</li>\n<li>Unrivaled employer match for our 401(k) retirement plan</li>\n<li>Generous vacation and family leave</li>\n<li>On-site amenities in support of health and efficiency</li>\n<li>Fertility and adoption assistance</li>\n<li>Reimbursement for child care during interviews</li>\n</ul>\n<p>Valve strives to improve the diversity of our teams to better serve our diverse global audience. We welcome and encourage individuals from all backgrounds to apply. Candidates will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, family status, veteran status or disability status. Valve is committed to creating an inclusive work environment and does not tolerate discrimination or harassment in the workplace.</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_96c1d44e-459","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Valve Software","sameAs":"https://www.valvesoftware.com","logo":"https://logos.yubhub.co/valvesoftware.com.png"},"x-apply-url":"https://www.valvesoftware.com/en/jobs?job_id=16","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"An organization where 100% of time is dedicated as groups see fit","x-skills-required":["Microsoft SQL Server","database administration","task automation","disk storage systems","capacity planning","networking systems"],"x-skills-preferred":["PowerShell","Python","data modeling","procedural code design","query tuning","performance management"],"datePosted":"2026-03-06T14:28:54.434Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Microsoft SQL Server, database administration, task automation, disk storage systems, capacity planning, networking systems, PowerShell, Python, data modeling, procedural code design, query tuning, performance management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_00500f1e-d0d"},"title":"Praktikum Produktionsplanung Softwareintegration neue Fahrzeugprojekte","description":"<p><strong>What you&#39;ll do</strong></p>\n<p>You&#39;ll be responsible for supporting the production planning team in the development and implementation of production plans for new vehicle projects. This will involve working closely with cross-functional teams to ensure that production plans are aligned with business objectives and that all necessary resources are in place to meet production targets.</p>\n<ul>\n<li>Develop and maintain production plans for new vehicle projects, including scheduling, resource allocation, and capacity planning</li>\n<li>Collaborate with production planning team members to ensure that production plans are aligned with business objectives and that all necessary resources are in place to meet production targets</li>\n<li>Work closely with cross-functional teams, including engineering, procurement, and logistics, to ensure that production plans are aligned with business objectives and that all necessary resources are in place to meet production targets</li>\n<li>Analyze production data and provide insights to inform production planning decisions</li>\n</ul>\n<p><strong>What you need</strong></p>\n<p>To succeed in this role, you&#39;ll need a strong understanding of production planning principles and practices, as well as excellent analytical and problem-solving skills.</p>\n<ul>\n<li>Bachelor&#39;s degree in a relevant field, such as industrial engineering, operations research, or supply chain management</li>\n<li>1-2 years of experience in production planning or a related field</li>\n<li>Strong understanding of production planning principles and practices</li>\n<li>Excellent analytical and problem-solving skills</li>\n<li>Ability to work effectively in a team environment</li>\n<li>Strong communication and interpersonal skills</li>\n</ul>\n<p><strong>Why this matters</strong></p>\n<p>This role is critical to the success of our production planning team and will play a key role in ensuring that we meet our production targets and deliver high-quality products to our customers. As a member of our team, you&#39;ll have the opportunity to work on exciting projects, develop your skills and knowledge, and contribute to the success of our organization.</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_00500f1e-d0d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. Porsche AG","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=18027","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["production planning","scheduling","resource allocation","capacity planning","analytical skills","problem-solving skills"],"x-skills-preferred":["industrial engineering","operations research","supply chain management"],"datePosted":"2025-12-08T16:25:06.065Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Stuttgart-Zuffenhausen"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"production planning, scheduling, resource allocation, capacity planning, analytical skills, problem-solving skills, industrial engineering, operations research, supply chain management"}]}