{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/capacity"},"x-facet":{"type":"skill","slug":"capacity","display":"Capacity","count":74},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. 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Identifying and creating strategic project initiatives to meet the changing technological landscape related to ITMs, core systems, application portals, artificial intelligence, digital service support, and data analytics.</p>\n<p>Managing, maintaining, and owning the following operational components: ITM strategic plan, vendor relationship, servicing, regulatory/compliance; Account/Loan Origination platform, vendor relationship, updates, and servicing; Member-facing QC strategy and procedures; Digital services testing, program testing, updates procedures to data processing systems as assigned.</p>\n<p>Creating and maintaining strategic plan and updates for retail facilities, physical branch operation infrastructure, and prioritizing facility plans, security protocols, and collaborating with marketing to ensure appropriate member-facing and staff-facing branding and design.</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_35760bd6-623","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Honda Federal Credit Union","sameAs":"https://careers.honda.com","logo":"https://logos.yubhub.co/careers.honda.com.png"},"x-apply-url":"https://careers.honda.com/us/en/job/10778/Operations-Manager","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$82,500.00 - $123,800.00","x-skills-required":["Bachelor's degree in business, finance, operations, or a related field","Seven or more years experience in a financial institution in a retail branch, member service, operations, or contact center environment","Three or more years of leadership experience in a financial institution in a member service capacity","Ability to organize and effectively direct subordinates","Ability to read, analyze, and interpret common financial and technical journals, financial reports, and legal documents"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:22:49.683Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Marysville"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Bachelor's degree in business, finance, operations, or a related field, Seven or more years experience in a financial institution in a retail branch, member service, operations, or contact center environment, Three or more years of leadership experience in a financial institution in a member service capacity, Ability to organize and effectively direct subordinates, Ability to read, analyze, and interpret common financial and technical journals, financial reports, and legal documents","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":82500,"maxValue":123800,"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. 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All of this in accordance with the standards set by HSBC to continue and increase customer satisfaction, both internal and external.</p>\n<p>As an Account Processor, you will be responsible for:</p>\n<ul>\n<li>Performing actions necessary for the operation of support processes, giving compliance to the FIM of operations and global standards.</li>\n</ul>\n<ul>\n<li>Analyzing, evaluating, dictating, and applying monetary and non-monetary movements in core systems, originated by complaints, services, and campaign applications, considering the accounting impact when applicable.</li>\n</ul>\n<ul>\n<li>Establishing controls focused on preventing errors in the operation.</li>\n</ul>\n<ul>\n<li>Seeking improvements in processes to meet business needs.</li>\n</ul>\n<ul>\n<li>Following up on incidents located during the process.</li>\n</ul>\n<ul>\n<li>Establishing controls focused on preventing errors in the operation.</li>\n</ul>\n<ul>\n<li>Meeting annual objectives.</li>\n</ul>\n<ul>\n<li>Participating in the application of new processes and/or projects in the area.</li>\n</ul>\n<p>Requirements for the position include:</p>\n<ul>\n<li>Bachelor&#39;s degree in Economics, Administration, Engineering, or Computer Science.</li>\n</ul>\n<ul>\n<li>1-2 years of experience as an Analyst.</li>\n</ul>\n<ul>\n<li>Proficiency in Microsoft Office: Excel, PowerPoint, Word.</li>\n</ul>\n<ul>\n<li>High analytical capacity.</li>\n</ul>\n<ul>\n<li>Knowledge of credit card product functioning (Hogan) and/or OHC.</li>\n</ul>\n<ul>\n<li>Database knowledge.</li>\n</ul>\n<ul>\n<li>Intermediate level of English.</li>\n</ul>\n<ul>\n<li>Visual Basic knowledge.</li>\n</ul>\n<p>Competencies required for the position include:</p>\n<ul>\n<li>Working under pressure.</li>\n</ul>\n<ul>\n<li>Sense of urgency.</li>\n</ul>\n<ul>\n<li>Continuous learning.</li>\n</ul>\n<ul>\n<li>Adaptability.</li>\n</ul>\n<ul>\n<li>Responsibility.</li>\n</ul>\n<ul>\n<li>Honesty.</li>\n</ul>\n<ul>\n<li>Proactivity.</li>\n</ul>\n<ul>\n<li>Customer service.</li>\n</ul>\n<ul>\n<li>Teamwork.</li>\n</ul>\n<ul>\n<li>Analysis.</li>\n</ul>\n<p>At HSBC, we offer our employees a greater number of days off to enjoy their wedding, care for a new family member, or grieve the loss of a loved one. 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Our values define who we are as an organization and what sets us apart, we value diversity, advance together, take responsibility for our actions, use good judgment, do the right thing, and make things happen.</p>\n<p>In HSBC, we are committed to ensuring gender equality and constant training for our employees, as well as protecting their labor and social rights.</p>\n<p>The personal data in the possession of the Bank regarding job applications will be used in accordance with our Privacy Statement, which is available on our website.</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_3533d450-80d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"HSBC","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/563774610668297","x-work-arrangement":null,"x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Microsoft Office: Excel, PowerPoint, Word","High analytical capacity","Knowledge of credit card product functioning (Hogan) and/or OHC","Database knowledge","Intermediate level of English","Visual Basic knowledge"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:10:43.492Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ciudad de México"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Microsoft Office: Excel, PowerPoint, Word, High analytical capacity, Knowledge of credit card product functioning (Hogan) and/or OHC, Database knowledge, Intermediate level of English, Visual Basic knowledge"},{"@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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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 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_d46c1e8f-b8c","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 centre infrastructure","Compute/silicon development","Financial analysis and modelling","Vendor financing arrangements"],"x-skills-preferred":["Experience structuring and negotiating strategic customer deals or partnerships","Background in technology-focused investment banking or consulting","Familiarity with data centre infrastructure, compute hardware, and/or silicon development cycles","Understanding of AI/ML infrastructure requirements and compute capacity planning","Experience with vendor financing, equipment leasing, or infrastructure investment analysis"],"datePosted":"2026-04-18T16:00:33.921Z","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 centre infrastructure, Compute/silicon development, Financial analysis and modelling, Vendor financing arrangements, Experience structuring and negotiating strategic customer deals or partnerships, Background in technology-focused investment banking or consulting, Familiarity with data centre infrastructure, compute hardware, and/or silicon development cycles, Understanding of AI/ML infrastructure requirements and compute capacity planning, Experience with vendor financing, equipment leasing, or infrastructure investment analysis","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_76c9a01c-58a"},"title":"Data Center Portfolio Planning & Execution Lead","description":"<p>We&#39;re looking for a Data Center Portfolio Planning &amp; 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href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_76c9a01c-58a","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/5188939008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$365,000-$485,000 USD","x-skills-required":["data center portfolio planning","execution lead","portfolio-level operating system","capacity supply pipeline","integrated project plans","tooling and automation","datacenter capacity catalog","lifecycle view of fleet","execution orchestration","steady-state capacity planning","stage gates","decision locks","cluster delivery","lease execution","design lock","procurement","construction","equipment installation","commissioning","handover","cross-functional planning","flow-down","datacenter capacity availability 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Supply","description":"<p><strong>About the Role</strong></p>\n<p>As a Power &amp; Resource Efficiency Engineer, you&#39;ll sit at the intersection of IT and facilities , building the systems, models, and control loops that optimize how we allocate and consume power, cooling, and physical capacity across our TPU/GPU fleet.</p>\n<p>You&#39;ll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.</li>\n</ul>\n<ul>\n<li>Design IT/OT interfaces 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Experience with reliability engineering, SLA development, and failure-mode analysis.</li>\n</ul>\n<ul>\n<li>Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.</li>\n</ul>\n<ul>\n<li>Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.</li>\n</ul>\n<ul>\n<li>Exposure to accelerator deployments and their power management interfaces strongly preferred.</li>\n</ul>\n<ul>\n<li>Demand response, grid interaction, or behind-the-meter generation experience is a plus.</li>\n</ul>\n<ul>\n<li>Ability to translate between infrastructure engineering, software teams, and external partners.</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>5+ years of experience in data center infrastructure or facility engineering.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with data center power distribution and cooling system architectures.</li>\n</ul>\n<ul>\n<li>Experience building or operating software-based power management, load scheduling, or control systems.</li>\n</ul>\n<ul>\n<li>Proficiency in Python or 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You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.</p>\n<p>Your job is to help Headway answer the questions that matter:</p>\n<ul>\n<li>What is truly incremental?</li>\n</ul>\n<ul>\n<li>Where should we invest next?</li>\n</ul>\n<ul>\n<li>What is driving performance shifts?</li>\n</ul>\n<ul>\n<li>How do we scale what works without fooling ourselves?</li>\n</ul>\n<p>You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. 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Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.</li>\n</ul>\n<ul>\n<li>Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.</li>\n</ul>\n<ul>\n<li>Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.</li>\n</ul>\n<ul>\n<li>Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.</li>\n</ul>\n<ul>\n<li>Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.</li>\n</ul>\n<p>What will make you successful:</p>\n<ul>\n<li>10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).</li>\n</ul>\n<ul>\n<li>Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.</li>\n</ul>\n<ul>\n<li>Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.</li>\n</ul>\n<ul>\n<li>Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.</li>\n</ul>\n<ul>\n<li>Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.</li>\n</ul>\n<ul>\n<li>Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.</li>\n</ul>\n<ul>\n<li>High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.</li>\n</ul>\n<ul>\n<li>You are motivated by the mission. 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This role will be dedicated to supporting our commercial teams and will be pivotal to driving Figma&#39;s growth within the region. You&#39;ll partner with established teams across our sales organization to drive value within our customer base, decreasing their time to value, and helping them sustain long-term impact.</p>\n<p>As an Associate Solutions Consultant, you will:</p>\n<ul>\n<li>Paint the vision of the Figma Platform and guide customers in realizing the value of expansion</li>\n<li>Conduct technical discovery with product teams to uncover pain points across ideation and prototyping, design systems, design-to-dev handoff, and developer workflows</li>\n<li>Create presentations and tailored demos to showcase proposed solutions</li>\n<li>Advise on deal strategy by helping AEs qualify opportunities, assess technical risk, and progress deals forward</li>\n<li>Own IT and Security relationships during the deal cycle by addressing security questionnaires and enterprise requirements, in order to help customers adopt the platform securely and at scale</li>\n<li>Collaborate with Product and Engineering to quantify customer needs and help influence the product roadmap</li>\n<li>Design and scale technical sales efforts, facilitating conversations and connections between our customers, sales and product teams</li>\n<li>Create thoughtful content to delight customers and internal partners surrounding the Figma platform</li>\n</ul>\n<p>We&#39;d love to hear from you if you have:</p>\n<ul>\n<li>4+ years professional experience including 2+ years positioning software in a presales capacity</li>\n<li>Experience selling to or working within product development teams, including design, engineering, or product</li>\n<li>Demonstrated ability to adapt to new technologies and learn quickly</li>\n</ul>\n<p>At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&#39;re excited about this role but your past experience doesn&#39;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</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_0e7f0680-548","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Figma","sameAs":"https://www.figma.com/","logo":"https://logos.yubhub.co/figma.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/figma/jobs/5633324004","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$115,200-$221,600 USD","x-skills-required":["software positioning","presales capacity","product development teams","design","engineering","product","technical discovery","pain points","ideation","prototyping","design systems","design-to-dev handoff","developer workflows","presentations","demos","deal strategy","AEs","opportunities","technical risk","deals forward","IT","Security","security questionnaires","enterprise requirements","customer adoption","platform security","scale","product roadmap","technical sales efforts","conversations","connections","customers","sales","product teams","content creation","customer delight","internal partners"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:39.316Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA • New York, NY • United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"software positioning, presales capacity, product development teams, design, engineering, product, technical discovery, pain points, ideation, prototyping, design systems, design-to-dev handoff, developer workflows, presentations, demos, deal strategy, AEs, opportunities, technical risk, deals forward, IT, Security, security questionnaires, enterprise requirements, customer adoption, platform security, scale, product roadmap, technical sales efforts, conversations, connections, customers, sales, product teams, content creation, customer delight, internal partners","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":115200,"maxValue":221600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1df66b08-463"},"title":"Technical Program Manager, Inference Performance","description":"<p>As a Technical Program Manager for Inference, you&#39;ll be the critical bridge between our inference systems and the broader organisation. 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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. 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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 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Infrastructure","description":"<p>As a Commercial Counsel for Compute and Infrastructure at Anthropic, you&#39;ll lead legal execution for Anthropic&#39;s infrastructure transactions. These could span the spectrum of server rack compute, networking, semiconductor procurement and development, robotics, manufacturing and supply chain operations, direct datacenter leases, construction agreements, energy procurement, data center operations and the financing structures that enable infrastructure investments at massive scale.  You&#39;ll work in close partnership with Anthropic teammates in Frontier Legal, Security, Litigation and Public Policy in addition to specialized outside counsel, serving as the in-house coordinator who ensures external work product aligns with Anthropic&#39;s commercial objectives and integrates with our overall compute strategy.  Negotiate strategic agreements with key technology partners, major developers, and represent some of Anthropic’s largest and lengthiest capital commitments.  Support, structure, and negotiate hardware development and procurement agreement, capacity reservation agreements, power purchase agreements, negotiate utility interconnection agreements, and manage utility-related legal requirements or initiatives (e.g., renewables).  Coordinate construction and adjacent agreements including design-build contracts, equipment procurement, and commissioning schedules; manage the related legal workstreams.  Work closely with specialized outside counsel, ensuring their work product aligns with Anthropic’s commercial objectives.  Collaborate with the Compute team’s transaction managers who handle operational execution and project management, providing legal and risk management expertise.  Coordinate with finance and corporate development on strategic deal structuring.  Understand how datacenter legal structures interact with the compute capacity they will house; e.g., power requirements, cooling specifications, security standards, and expansion rights that flow from decisions made in the Compute organization.  Escalate novel structures or terms that create downstream risk for operational flexibility; ensure facility designs accommodate AI-specific requirements including high density power, liquid cooling infrastructure, and rapid scaling capacity.  You may be a good fit if you have:  <em> JD and active membership in at least one U.S. state bar </em> At least 8-12+ years of relevant legal experience with meaningful exposure to cloud-hardware development and procurement, semiconductor procurement or development, networking, supply chain/logistics, datacenter construction, real-estate, colos or data center operations. <em> Fluency in commercial real estate and construction contracting; datacenter lease structures, construction risk allocation, and financing arrangements (and how they will interact) </em> Experience with EPC, AIA, and design-build arrangements at scale <em> Comfort with project finance structures and the interplay between lease, financing, and development agreements </em> Ability to coordinate effectively with specialized outside counsel while maintaining strategic direction <em> Strong judgement about when deal terms create downstream risk for operational flexibility </em> Effective collaboration skills for working with business teams who handle transaction management and site selection <em> Genuine interest in infrastructure development and appreciation for why compute and datacenter capacity is mission-critical for frontier AI  Strong candidates may also have:  </em> In-house experience at cloud service providers, neo-clouds, datacenter developers supporting leasing, project development, and financing transactions <em> Experience at large technology companies with datacenter construction programs supporting development transactions from the buy side </em> Law firm experience at practices with infrastructure finance or project development specialization, particularly those who have worked on datacenter, power, or similar infrastructure financings <em> Prior involvement in transactions requiring sophisticated understanding of custom hardware development, global supply chain and logistics, construction timelines, commissioning requirements, and operational handoff </em> Familiarity with tax structures, sale lease-back arrangements, or other financing vehicles used in large-scale infrastructure development  Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.  The annual compensation range for this role is listed below.  For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.  Annual Salary: $320,000-$385,000 USD  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. However, some roles may require more time in our offices.  Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.  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’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.  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’re ever unsure about a communication, don’t click any links,visit anthropic.com/careers directly for confirmed position openings.  How we’re different:  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.</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_b31ffb78-e57","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/5186518008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$385,000 USD","x-skills-required":["JD","U.S. state bar","Cloud-hardware development and procurement","Semiconductor procurement or development","Networking","Supply chain/logistics","Datacenter construction","Real-estate","Colos or data center operations","Commercial real estate and construction contracting","Datacenter lease structures","Construction risk allocation","Financing arrangements","EPC","AIA","Design-build arrangements","Project finance structures","Lease","Financing","Development agreements","Coordination with specialized outside counsel","Strategic direction","Deal terms","Operational flexibility","Business teams","Transaction management","Site selection","Infrastructure development","Compute and datacenter capacity"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:35.146Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"JD, U.S. state bar, Cloud-hardware development and procurement, Semiconductor procurement or development, Networking, Supply chain/logistics, Datacenter construction, Real-estate, Colos or data center operations, Commercial real estate and construction contracting, Datacenter lease structures, Construction risk allocation, Financing arrangements, EPC, AIA, Design-build arrangements, Project finance structures, Lease, Financing, Development agreements, Coordination with specialized outside counsel, Strategic direction, Deal terms, Operational flexibility, Business teams, Transaction management, Site selection, Infrastructure development, Compute and datacenter capacity","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d50772ab-afe"},"title":"Staff / Senior Software Engineer, Cloud Inference","description":"<p>We are seeking a Staff / Senior Software Engineer to join our Cloud Inference team. The successful candidate will design and build infrastructure that serves Claude across multiple cloud service providers (CSPs), accounting for differences in compute hardware, networking, APIs, and operational models.</p>\n<p>The ideal candidate will have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users. They will also have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models</li>\n</ul>\n<ul>\n<li>Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms</li>\n</ul>\n<ul>\n<li>Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions</li>\n</ul>\n<ul>\n<li>Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity</li>\n</ul>\n<ul>\n<li>Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads</li>\n</ul>\n<ul>\n<li>Optimise inference cost and performance across providers,designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region</li>\n</ul>\n<ul>\n<li>Contribute to inference features that must work consistently across all platforms</li>\n</ul>\n<ul>\n<li>Analyse observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users</li>\n</ul>\n<ul>\n<li>Experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration</li>\n</ul>\n<ul>\n<li>Strong interest in inference</li>\n</ul>\n<ul>\n<li>Thrive in cross-functional collaboration with both internal teams and external partners</li>\n</ul>\n<ul>\n<li>Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems</li>\n</ul>\n<ul>\n<li>Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work</li>\n</ul>\n<ul>\n<li>Pick up slack, even when it goes outside your job description</li>\n</ul>\n<p>Preferred skills:</p>\n<ul>\n<li>Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings</li>\n</ul>\n<ul>\n<li>A background in building platform-agnostic tooling or abstraction layers that work across cloud providers</li>\n</ul>\n<ul>\n<li>Hands-on experience with capacity management, cost optimisation, or resource planning at scale across heterogeneous environments</li>\n</ul>\n<ul>\n<li>Strong familiarity with LLM inference optimisation, batching, caching, and serving strategies</li>\n</ul>\n<ul>\n<li>Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators</li>\n</ul>\n<ul>\n<li>Background designing and building CI/CD systems that automate deployment and validation across cloud environments</li>\n</ul>\n<ul>\n<li>Solid understanding of multi-region deployments, geographic routing, and global traffic management</li>\n</ul>\n<ul>\n<li>Proficiency in Python or Rust</li>\n</ul>\n<p>Salary Range: $300,000-$485,000 USD</p>\n<p>Experience Level: Staff</p>\n<p>Employment Type: Full-time</p>\n<p>Workplace Type: Hybrid</p>\n<p>Category: Engineering</p>\n<p>Industry: Technology</p>\n<p>Required Skills:</p>\n<ul>\n<li>High-performance, large-scale distributed systems</li>\n</ul>\n<ul>\n<li>Cloud computing (AWS, GCP, Azure)</li>\n</ul>\n<ul>\n<li>Kubernetes</li>\n</ul>\n<ul>\n<li>Infrastructure as Code</li>\n</ul>\n<ul>\n<li>Container orchestration</li>\n</ul>\n<ul>\n<li>Inference</li>\n</ul>\n<ul>\n<li>Cross-functional collaboration</li>\n</ul>\n<ul>\n<li>Autonomy and self-driven</li>\n</ul>\n<ul>\n<li>Platform-agnostic tooling</li>\n</ul>\n<ul>\n<li>Capacity management</li>\n</ul>\n<ul>\n<li>Cost optimisation</li>\n</ul>\n<ul>\n<li>Resource planning</li>\n</ul>\n<ul>\n<li>LLM inference optimisation</li>\n</ul>\n<ul>\n<li>Machine learning infrastructure</li>\n</ul>\n<ul>\n<li>CI/CD systems</li>\n</ul>\n<ul>\n<li>Multi-region deployments</li>\n</ul>\n<ul>\n<li>Geographic routing</li>\n</ul>\n<ul>\n<li>Global traffic management</li>\n</ul>\n<ul>\n<li>Python</li>\n</ul>\n<ul>\n<li>Rust</li>\n</ul>\n<p>Preferred Skills:</p>\n<ul>\n<li>Direct experience working with CSP partner teams</li>\n</ul>\n<ul>\n<li>Building platform-agnostic tooling</li>\n</ul>\n<ul>\n<li>Hands-on experience with capacity management</li>\n</ul>\n<ul>\n<li>Strong familiarity with LLM inference optimisation</li>\n</ul>\n<ul>\n<li>Experience with Machine learning infrastructure</li>\n</ul>\n<ul>\n<li>Background designing and building CI/CD systems</li>\n</ul>\n<ul>\n<li>Solid understanding of multi-region deployments</li>\n</ul>\n<ul>\n<li>Proficiency in Python or Rust</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_d50772ab-afe","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/5107466008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$300,000-$485,000 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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 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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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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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Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>As a Business Development Representative, you will be responsible for identifying and researching prospective Cloudflare accounts in our Enterprise segment (2500 or more employees and/or strategic logos in the region), conducting outreach to the appropriate contacts within each account, sourcing meetings, and running discovery calls using sales qualification frameworks (e.g., BANT and CHIIP).</p>\n<p>You will be paired with Strategic/Enterprise Account Executives who will work to close opportunities that you source for them. 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You will be responsible for identifying product-fits across a variety of companies so having a passion for Cloudflare is important.</p>\n<p>Day in the Life of BDR at Cloudflare</p>\n<p>Own and meet target quota related to number of qualified opportunities, value of sales pipeline, and revenue</p>\n<p>Develop new business opportunities from paired AEs&#39; named accounts (typically large-scale Enterprise companies)</p>\n<p>Identify target accounts with strategic timing and strong use cases through qualitative and data-driven approach</p>\n<p>Work cross-functionally with stakeholders (account executives, marketing, sales operations, fellow BDRs)</p>\n<p>Help lead BDR team-wide campaigns or initiatives (we’re a collaborative group)</p>\n<p>Write emails and letters you’d love to open; make calls you’d love to receive; ask compelling questions</p>\n<p>Report, track, and manage sales activities and results using SFDC and Salesloft</p>\n<p>Play an active role in the creation and iteration of team processes</p>\n<p>Examples of desirable skills, knowledge and experience</p>\n<p>Self-motivated; entrepreneurial spirit</p>\n<p>Comfortable working in a fast-paced, dynamic environment</p>\n<p>Strong interpersonal communication skills</p>\n<p>Customer-oriented mindset with empathy and curiosity</p>\n<p>Aptitude to learn technical concepts/terms</p>\n<p>Ability to manage multiple tasks/projects simultaneously</p>\n<p>Track record of successful business development in Enterprise segment territory in tech sales environment</p>\n<p>2+ year of experience in BDR or in a similar capacity in technology industry is preferred</p>\n<p>Experience in Salesloft is a plus</p>\n<p>What Makes Cloudflare Special?</p>\n<p>We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers,at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use,it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>Here’s the deal,we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.</p>\n<p>Sound like something you’d like to be a part of? We’d love to hear from you!</p>\n<p>This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.</p>\n<p>Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person&#39;s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.</p>\n<p>We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_74fa05c6-e2a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7667868","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["self-motivated","entrepreneurial spirit","comfortable working in a fast-paced dynamic environment","strong interpersonal communication skills","customer-oriented mindset with empathy and curiosity","aptitude to learn technical concepts/terms","ability to manage multiple tasks/projects simultaneously","track record of successful business development in Enterprise segment territory in tech sales environment"],"x-skills-preferred":["experience in Salesloft","2+ year of experience in BDR or in a similar capacity in technology industry"],"datePosted":"2026-04-18T15:50:48.484Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"self-motivated, entrepreneurial spirit, comfortable working in a fast-paced dynamic environment, strong interpersonal communication skills, customer-oriented mindset with empathy and curiosity, aptitude to learn technical concepts/terms, ability to manage multiple tasks/projects simultaneously, track record of successful business development in Enterprise segment territory in tech sales environment, experience in Salesloft, 2+ year of experience in BDR or in a similar capacity in technology industry"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d6101426-79f"},"title":"Data Center Portfolio Capacity Manager","description":"<p>We are seeking a Data Center Portfolio Capacity Manager to own portfolio-level capacity planning, forecasting, and reporting across a rapidly growing data center footprint. 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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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leadership.</li>\n<li>Excel at managing multiple, time-sensitive projects concurrently.</li>\n<li>Guide cross-functional teams in identifying, prioritising, and tracking tasks to meet key deadlines.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in a technical field, or equivalent practical experience.</li>\n<li>10+ years of experience in technical program management or engineering management.</li>\n<li>Track record of disambiguating and delivering repeatable business value.</li>\n<li>Track record of fast-paced, high-volume, and cutting-edge consumer software.</li>\n<li>Proven track record of collaborating with and influencing stakeholders across various functions and sites, especially in situations with little authority and considerable ambiguity.</li>\n<li>Exceptional communication, writing, and presentation skills.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience working delivering products that leverage large language models as part of primary experience.</li>\n<li>Experience in hardware and software development life-cycles, metric definition and executive presentation, and technical program management.</li>\n<li>Extensive experience in capacity and resource planning.</li>\n<li>Experience in implementing process improvement methodologies to drive efficiency and scale across multiple teams.</li>\n<li>Experience with motivating teams and individuals to change as the business environment changes.</li>\n<li>Ability to lead and inspire geographically dispersed teams, build strong relationships, and collaborate with stakeholders at all levels.</li>\n<li>Excellent strategic thinking and planning skills, with the ability to translate business objectives into initiatives and execute on them.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The US base salary range for this full-time position is between $227,000 USD - 320,000 USD + bonus + equity + 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_cb2af8f9-e2d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GeminiApp","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7488187","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$227,000 USD - 320,000 USD + bonus + equity + benefits","x-skills-required":["Technical Program Management","Engineering Management","Disambiguating Business Priorities","Risk Mitigation","Project Management","Communication","Writing","Presentation"],"x-skills-preferred":["Large Language Models","Hardware and Software Development Life-Cycles","Metric Definition and Executive Presentation","Capacity and Resource Planning","Process Improvement Methodologies","Team 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alignment across teams to ensure consistent execution of industry-specific go-to-market strategies</li>\n</ul>\n<ul>\n<li>Partner with Marketing on industry-focused campaigns, events, and thought leadership initiatives</li>\n</ul>\n<p>Operational Excellence:</p>\n<ul>\n<li>Remove operational bottlenecks specific to complex industry sales cycles and compliance requirements</li>\n</ul>\n<ul>\n<li>Execute critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management</li>\n</ul>\n<ul>\n<li>Optimize sales technology stack and ensure effective adoption of Salesforce and other sales tools</li>\n</ul>\n<ul>\n<li>Establish sales process methodology, qualification criteria, and stage definitions for consistent execution</li>\n</ul>\n<ul>\n<li>Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles</li>\n</ul>\n<ul>\n<li>Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets</li>\n</ul>\n<ul>\n<li>Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy</li>\n</ul>\n<ul>\n<li>Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers</li>\n</ul>\n<ul>\n<li>Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams</li>\n</ul>\n<ul>\n<li>Track record of building sales capacity models, productivity frameworks, and headcount planning processes</li>\n</ul>\n<ul>\n<li>Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence 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software</li>\n</ul>\n<ul>\n<li>Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments</li>\n</ul>\n<ul>\n<li>Experience with emerging technologies (AI, ML) in enterprise contexts</li>\n</ul>\n<ul>\n<li>Management consulting experience with focus on industry strategy or commercial excellence</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_372ebebd-6df","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/5005519008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£120,000-£170,000 GBP","x-skills-required":["B2B SaaS","Enterprise software","Sales strategy","Revenue 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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<li>Partner with infrastructure, finance, and procurement stakeholders to analyze utilization patterns, identify inefficiencies, and drive optimization initiatives that improve the cost-effectiveness of our non-accelerator cloud resources.</li>\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<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<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<li>Build a cost-aware culture across the organization 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>Requirements:</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 optimization.</li>\n<li>Experience building spend forecasting models and large-scale cost attribution systems.</li>\n<li>Deep knowledge of cloud billing systems, cost allocation methodologies, and spend optimization levers (e.g., reserved instances, committed use discounts, rightsizing, spot/preemptible usage).</li>\n<li>Expertise in Python, SQL, forecasting, data modeling and data visualization tools.</li>\n<li>Strong communication and presentation skills.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive compensation and benefits package.</li>\n<li>Optional equity donation matching.</li>\n<li>Generous vacation and parental leave.</li>\n<li>Flexible working hours.</li>\n<li>Lovely office space in San Francisco.</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_7dee17b8-923","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/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 optimization","Python","SQL","forecasting","data modeling","data visualization"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:37:33.429Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud infrastructure cost analysis, capacity planning, efficiency optimization, Python, SQL, forecasting, data modeling, data visualization","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_0a872d93-7f6"},"title":"Engineering Manager, Cloud Inference AWS","description":"<p>We are seeking an experienced Engineering Manager to lead the Cloud Inference team for AWS. You will lead your team to scale and optimize Claude to serve the massive audiences of developers and enterprise companies using AWS.</p>\n<p>As an Engineering Manager, you will own the end-to-end product of Claude on AWS, including API, load balancing, inference, capacity and operations. 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Credit Analyst","description":"<p>We are seeking a skilled Credit Analyst Expert to enhance xAI&#39;s AI models by providing high-quality data annotations and inputs tailored to private credit analysis contexts.</p>\n<p>In this role, you will leverage your expertise in credit risk assessment and analysis, including financial statement analysis, credit risk modeling, covenant analysis, leverage and coverage ratio calculations, industry and company research, cash flow analysis, debt capacity assessments, credit memo preparation, counterparty risk evaluation, rating methodologies, credit monitoring, and risk mitigation strategies to support the training of AI systems.</p>\n<p>You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world private credit analysis dynamics.</p>\n<p>This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Utilize proprietary software to provide accurate input and labels for private credit projects, ensuring high-quality data for AI model training.</li>\n<li>Deliver curated, high-quality data for scenarios involving financial statement analysis, credit risk assessment, covenant compliance evaluation, debt capacity modeling, industry benchmarking, cash flow projections, rating analysis, and credit monitoring activities.</li>\n<li>Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.</li>\n<li>Assist in designing and improving efficient annotation tools tailored for credit analysis data.</li>\n<li>Select and analyze complex problems in credit analysis aligned with your expertise to enhance AI model performance.</li>\n<li>Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Professional experience in credit analysis or related fields (e.g., credit analyst, underwriter, or risk professional at commercial banks, investment banks, rating agencies, insurance companies, or corporate credit departments).</li>\n<li>Proficiency in reading and writing informal and professional English.</li>\n<li>Strong communication, interpersonal, analytical, and organizational skills.</li>\n<li>Excellent reading comprehension and ability to exercise autonomous judgment with limited data.</li>\n<li>Passion for technological advancements and innovation in credit analysis.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Relevant certification or advanced training (e.g., CFA, FRM, CRC or similar finance-related certification).</li>\n<li>Experience mentoring or training others in private credit practices, such as credit underwriting, loan structuring, covenant analysis, or portfolio monitoring.</li>\n<li>Comfort with recording audio or video sessions for data collection.</li>\n<li>Familiarity with AI or data annotation workflows in a technical setting.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.</li>\n<li>For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.</li>\n<li>We are unable to provide visa sponsorship.</li>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.</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_405987f7-4e8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5039377007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$45/hour - $100/hour","x-skills-required":["credit risk assessment","financial statement analysis","credit risk modeling","covenant analysis","leverage and coverage ratio calculations","industry and company research","cash flow analysis","debt capacity assessments","credit memo preparation","counterparty risk evaluation","rating methodologies","credit monitoring","risk mitigation strategies"],"x-skills-preferred":["relevant certification or advanced training","experience mentoring or training others in private credit practices","comfort with recording audio or video sessions for data collection","familiarity with AI or data annotation workflows in a technical setting"],"datePosted":"2026-04-18T15:35:56.415Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"credit risk assessment, financial statement analysis, credit risk modeling, covenant analysis, leverage and coverage ratio calculations, industry and company research, cash flow analysis, debt capacity assessments, credit memo preparation, counterparty risk evaluation, rating methodologies, credit monitoring, risk mitigation strategies, relevant certification or advanced training, experience mentoring or training others in private credit practices, comfort with recording audio or video sessions for data collection, familiarity with AI or data annotation workflows in a technical setting"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1b272e8-5be"},"title":"Director, GTM Finance","description":"<p>We&#39;re hiring a GTM Finance leader to architect the revenue engine,bookings to revenue forecasting, pipeline health, conversion, capacity models (RREs), unit economics, pricing, and margins,while building the automated systems that let our teams operate with speed and clarity.</p>\n<p>Scaling a company like this requires financial systems that are as fast, accurate, and durable as the technology we deploy. We build autonomous systems for national security and critical infrastructure.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the bookings→revenue engine and forecast the business with operational truth.</li>\n<li>Build GTM capacity + productivity models (RREs, coverage, magic number, CAC).</li>\n<li>Instrument pipeline health and conversion across segments and deal types.</li>\n<li>Stand up GTM Finance systems (Anaplan, ERP, CRM, BI) with real automation.</li>\n<li>Partner with GTM, Product, and Programs to align investment with mission outcomes.</li>\n<li>Lead and grow a high-performance GTM Finance team.</li>\n</ul>\n<p>Required qualifications:</p>\n<ul>\n<li>12+ years in FP&amp;A and GTM Finance business partnership supporting Sales/Capture/BD and Marketing.</li>\n<li>Owned the bookings→revenue engine and forecast the business with operational truth.</li>\n<li>Built GTM capacity + productivity models (RREs, coverage, magic number, CAC).</li>\n<li>Instrumented pipeline health and conversion across segments and deal types.</li>\n<li>Stood up GTM Finance systems (Anaplan, ERP, CRM, BI) with real automation.</li>\n<li>Partnered with GTM, Product, and Programs to align investment with mission outcomes.</li>\n<li>Lead and grow a high-performance GTM Finance team.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience in defense, aerospace, robotics, autonomy, or deep tech.</li>\n<li>Knowledge of government contract structures (OTA, IDIQ, CPFF/CPIF, FFP) and program accounting; ASC 606 for milestone-based programs.</li>\n<li>Understanding of hardware production ramps and manufacturing scale.</li>\n<li>Strong data fluency across dashboards, data models, and ERP/CRM/BI integrations.</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_a1b272e8-5be","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/dfb33eb9-8789-406d-ab9d-34b265223cf4","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$160,000 - $250,000 a year","x-skills-required":["Anaplan","ERP","CRM","BI","FP&A","GTM Finance","Pipeline health","Conversion","Capacity models","Unit economics","Pricing","Margins"],"x-skills-preferred":["Defense","Aerospace","Robotics","Autonomy","Deep tech","Government contract structures","Program accounting","Hardware production ramps","Manufacturing scale","Data fluency"],"datePosted":"2026-04-17T13:04:17.126Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Anaplan, ERP, CRM, BI, FP&A, GTM Finance, Pipeline health, Conversion, Capacity models, Unit economics, Pricing, Margins, Defense, Aerospace, Robotics, Autonomy, Deep tech, Government contract structures, Program accounting, Hardware production ramps, Manufacturing scale, Data fluency","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dbf13c07-a48"},"title":"Production Planner","description":"<p>The Production Planner is responsible for developing and maintaining production plans to support operational efficiency, on-time delivery, and alignment with customer demand and business objectives.</p>\n<p>This role translates customer orders and contracts, production capacity, and material availability into executable production plans, ensuring schedules are followed and adjusted as needed.</p>\n<p>The Production Planner works closely with cross-functional teams including operations, supply chain &amp; 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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_7d07b2e4-3f3"},"title":"Shipyard Human Factors & Systems Engineer","description":"<p>We are looking for a Shipyard Human Factors &amp; Systems Engineer to architect how people move through, interact with, and experience complex physical and operational systems. This role sits at the intersection of design, operations, engineering, and behavioural science.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design end-to-end human flow systems across physical environments (facilities, venues, campuses, events, transportation nodes, etc.)</li>\n<li>Architect queuing strategies (physical and digital) that optimise both actual and perceived wait times</li>\n<li>Identify and eliminate bottlenecks across movement, decision points, and service interactions</li>\n<li>Translate behavioural insights into practical, buildable system designs</li>\n<li>Partner with engineering, operations, facilities, and product teams to integrate human flow into system architecture</li>\n<li>Use data, observation, and simulation to model capacity, throughput, and edge cases</li>\n<li>Define principles for wayfinding, signage, pacing, and spatial cues</li>\n<li>Stress-test systems for peak load, abnormal conditions, and failure modes</li>\n<li>Document designs clearly so they can be executed, operated, and scaled</li>\n<li>Continuously iterate based on real-world performance and user behaviour</li>\n</ul>\n<p>What Success Looks Like:</p>\n<ul>\n<li>People move through complex environments with minimal confusion or friction</li>\n<li>Systems handle peak demand gracefully without heroics or last-minute workarounds</li>\n<li>Operations teams trust and rely on your designs</li>\n<li>Leaders can make decisions using your models and recommendations</li>\n<li>Users rarely notice your work , except that “it just works”</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>You think in systems, not artifacts</li>\n<li>You are deeply curious about how people actually behave, not how plans assume they will</li>\n<li>You’re comfortable balancing empathy with constraints like safety, cost, and throughput</li>\n<li>You can move between strategy and details without losing coherence</li>\n<li>You communicate clearly with both technical and non-technical partners</li>\n<li>You’re opinionated, but evidence-driven</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>We care more about how you think than where you come from. Relevant backgrounds include:<ul>\n<li>Human Factors Engineering</li>\n<li>Industrial / Systems Engineering</li>\n<li>Experience Design (physical environments)</li>\n<li>Operations Research</li>\n<li>Architecture or Urban Planning (with operational exposure)</li>\n<li>Theme parks, airports, transit systems, large venues, manufacturing, or high-scale operations</li>\n</ul>\n</li>\n</ul>\n<p>Typical qualifications:</p>\n<ul>\n<li>7+ years designing or operating complex human-centered systems</li>\n<li>Experience with capacity modeling, service design, or pedestrian flow</li>\n<li>Familiarity with simulation tools or data-driven decision-making</li>\n<li>Proven ability to influence cross-functional teams without direct authority</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Experience designing systems under extreme peak loads</li>\n<li>Familiarity with crowd modeling or queuing theory</li>\n<li>Background in environments where safety is mission-critical</li>\n<li>Ability to prototype or test concepts quickly in the field</li>\n<li>A portfolio of systems you’ve designed that still work years later</li>\n</ul>\n<p>Additional Information:</p>\n<ul>\n<li>Benefits: Medical Insurance, Dental and Vision Insurance, Time Off, Parental Leave, Competitive Salary, Retirement Plan, Stock Options, Life and Disability Insurance, Pet Insurance</li>\n<li>Saronic CCPA Notice for Candidates and California Employees: This role requires access to export-controlled information or items that require “U.S. Person” status.</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_7d07b2e4-3f3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic Technologies","sameAs":"https://www.saronictechnologies.com/","logo":"https://logos.yubhub.co/saronictechnologies.com.png"},"x-apply-url":"https://jobs.lever.co/saronic/eeb88e23-0f3c-4210-9bc3-b1c390a5f5d7","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Human Factors Engineering","Industrial / Systems Engineering","Experience Design","Operations Research","Architecture or Urban Planning","Theme parks","Airports","Transit systems","Large venues","Manufacturing","High-scale operations","Capacity modeling","Service design","Pedestrian flow","Simulation tools","Data-driven decision-making"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:57:29.023Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Human Factors Engineering, Industrial / Systems Engineering, Experience Design, Operations Research, Architecture or Urban Planning, Theme parks, Airports, Transit systems, Large venues, Manufacturing, High-scale operations, Capacity modeling, Service design, Pedestrian flow, Simulation tools, Data-driven decision-making"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ca0ce87f-0a0"},"title":"Bank Controller","description":"<p>Reporting directly to the Corporate Controller, the Bank Controller will own the accounting function for Mercury&#39;s banking entity. This is a foundational leadership role - you will build the policies, processes, systems, and team that enable Mercury to operate as a fully regulated insured depository institution.</p>\n<p>You&#39;ll work at the intersection of technical accounting, regulatory compliance, and operational build-out. This isn&#39;t a role for someone who wants to maintain an existing function - it&#39;s for someone who wants to architect one and work closely with Engineering and Product.</p>\n<p><strong>Bank Accounting Infrastructure</strong>: Design and implement the Chart of Accounts, general ledger structure, and subledger architecture for the bank entity in accordance with call report and regulatory reporting requirements.</p>\n<p><strong>Regulatory and Call Report Compliance</strong>: Lead preparation of FFIEC Call Reports (FFIEC 031/041), FR Y-9C, and other regulatory financial submissions on a quarterly basis.</p>\n<p><strong>Financial Reporting and Controls</strong>: Review the bank entity&#39;s standalone GAAP financial statements, including the balance sheet, income statement, and notes.</p>\n<p><strong>Team and Systems Build-out</strong>: Partner with Finance Systems and Engineering to implement or configure the bank&#39;s core accounting system, ensuring it supports regulatory reporting and audit requirements.</p>\n<p>Mercury is a fintech company building banking products for ambitious businesses. We&#39;ve grown from a startup platform to a company that manages tens of billions in deposits , and now we&#39;re taking the next step: pursuing a de novo bank charter to become a full-fledged bank.</p>\n<p>This is a rare and defining moment. As we transition from fintech to bank, we need to build institutional-grade accounting infrastructure from the ground up. That work starts here.</p>\n<p>You are a builder. You get energy from creating infrastructure, not just operating it. You are comfortable operating in ambiguity. De novo chartering is inherently a process of writing the playbook as you go.</p>\n<p>You can translate complex regulatory requirements into practical accounting policies and workflows that a high-performing team can execute. You communicate fluently with regulators, auditors, engineers, and executives , calibrating your depth and language for each audience.</p>\n<p>You have strong opinions on controls and data integrity, and you know how to build consensus to implement them without slowing the business down.</p>\n<p>The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.</p>\n<p>Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.</p>\n<p>Our target new hire base salary ranges for this role are the following:</p>\n<p>US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $199,900 - 249,900</p>\n<p>US employees outside of the New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $179,900 - 224,900</p>\n<p>Canadian employees (any location): CAD 189,000 - 236,200</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_ca0ce87f-0a0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5857695004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$179,900 - 249,900","x-skills-required":["10+ years of progressive accounting experience with meaningful time in banking","Deep familiarity with bank regulatory accounting, including Call Report preparation and GAAP as applied to insured depository institutions","Strong technical accounting skills across investment securities (ASC 320/326), credit losses (CECL/ASC 326), interest income, and intercompany accounting","CPA required","Prior exposure to OCC, FDIC, or Federal Reserve examinations in an accounting or controllership capacity"],"x-skills-preferred":["Hands-on experience building or materially transforming a bank accounting function or experience with a de novo bank charter, bank acquisition, or bank conversion","Big Four public accounting background with a financial institutions practice"],"datePosted":"2026-04-17T12:48:44.802Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"10+ years of progressive accounting experience with meaningful time in banking, Deep familiarity with bank regulatory accounting, including Call Report preparation and GAAP as applied to insured depository institutions, Strong technical accounting skills across investment securities (ASC 320/326), credit losses (CECL/ASC 326), interest income, and intercompany accounting, CPA required, Prior exposure to OCC, FDIC, or Federal Reserve examinations in an accounting or controllership capacity, Hands-on experience building or materially transforming a bank accounting function or experience with a de novo bank charter, bank acquisition, or bank conversion, Big Four public accounting background with a financial institutions practice","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":179900,"maxValue":249900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2f08a0c9-5e8"},"title":"Engineering Manager","description":"<p>We are seeking experienced Engineering Managers to join our team and drive the development of mission-critical systems powering our AI platform and products. In this role, you will leverage your deep technical expertise and leadership skills to build scalable, high-impact systems while nurturing and guiding high-performing engineering teams.</p>\n<p>Depending on your background, you may oversee one (Team Lead) or multiple (Engineering Manager) product teams, driving both execution and delivery while staying hands-on. Our product engineering teams typically consist of five members.</p>\n<p>As a team lead, you will dynamically balance individual contributions, project leadership, and team management, with the balance shifting as your team grows. You will work closely with Product Managers to deliver features that directly benefit our users and business.</p>\n<p>Your responsibilities will include fostering a strong team culture, establishing clear processes, elevating engineering standards, and ensuring consistent, high-quality delivery.</p>\n<p>This is a highly critical role at the intersection of product engineering infrastructure and people. You will help shape how our engineering organization works, how we build at scale and how we turn cutting-edge AI research into reliable production-grade systems used by millions of developers and end users.</p>\n<p>If you enjoy building complex systems, leading ambitious engineers and shipping products that matter, this role is for you.</p>\n<p>Key components of our technology include:</p>\n<ul>\n<li><p>Empower Your Team(s): Act as the clear point of contact for your team and its projects. 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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. 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Touch device users, explore by touch or with swipe gestures.</p>\n<p><strong>Channel Sales Executive</strong></p>\n<p>Poland Off-siteSave</p>\n<p>Category: Ansys Sales<strong>Remote Eligible</strong> YesHire Type: Employee</p>\n<p><strong>Job ID</strong> 13261<strong>Date posted</strong> 11/18/2025</p>\n<p>We Are:</p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p><strong>You Are:</strong></p>\n<p>You are a dynamic and driven sales professional who thrives in collaborative environments and is passionate about building strong partnerships.</p>\n<p>With a proven track record in the software industry, you understand the nuances of indirect and direct sales, and you excel at developing and nurturing relationships with both channel partners and customers.</p>\n<p>Your consultative approach enables you to identify and address customer needs, ensuring optimal solutions and satisfaction.</p>\n<p>You possess a strategic mindset, leveraging data and market insights to inform sales strategies and drive growth.</p>\n<p>Your leadership skills shine through as you coach and motivate partner representatives, fostering their development and success. Adaptable and resourceful, you navigate complex situations with ease, mediating issues and facilitating effective resolutions.</p>\n<p>Your communication and negotiation skills are second to none, allowing you to engage confidently with senior executives and key stakeholders.</p>\n<p>You are committed to continuous learning, staying abreast of industry trends and best practices.</p>\n<p>Fluent in English and Polish, you bring cultural sensitivity and a global perspective to your work.</p>\n<p>Above all, you are passionate about technology and innovation, eager to contribute to Synopsys’ mission and make a lasting impact in the region.</p>\n<p><strong>What You’ll Be Doing:</strong></p>\n<p>· Driving sales of ANSYS solutions within a specified region through channel partners, embodying ANSYS Channel principles.</p>\n<p>· Owning and executing the sales plan for your territory, ensuring growth targets are consistently met.</p>\n<p>· Providing hands-on leadership for sales opportunities and guiding channel partner reps with a “sell-with” approach.</p>\n<p>· Building and nurturing relationships with senior-level customer executives to unlock new market opportunities.</p>\n<p>· Coaching and motivating channel partner representatives to enhance their ANSYS selling skills and performance.</p>\n<p>· Conducting joint customer visits and ensuring timely completion of sales, technical, and principal trainings and certifications.</p>\n<p>· Delivering accurate and timely sales forecasts; regularly reviewing pipeline and forecast with channel partners.</p>\n<p>· Managing partner capacity and capabilities to ensure optimal coverage and effectiveness.</p>\n<p>· Serving as the central point of contact for all sales matters at the partner, ensuring efficient workflows.</p>\n<p>· Implementing ANSYS Partner Program initiatives, including marketing programs, to drive regional success and future growth.</p>\n<p>· Mediating channel partner requests/issues and assisting in tactical solution strategies for customer satisfaction.</p>\n<p>· Collaborating with ANSYS regional sales leaders to analyse market trends and define go-to-market strategies.</p>\n<p><strong>The Impact You Will Have:</strong></p>\n<p>· Accelerating sales growth and market penetration for ANSYS solutions in Poland and the wider region.</p>\n<p>· Empowering channel partners with the skills and resources needed to succeed in a highly competitive market.</p>\n<p>· Shaping the future of simulation and PLM software adoption among small and medium-sized businesses.</p>\n<p>· Enhancing customer satisfaction and loyalty through effective resolution of issues and proactive engagement.</p>\n<p>· Driving best practices in channel sales, contributing to Synopsys’ reputation as an industry leader.</p>\n<p>· Supporting the implementation and success of the ANSYS Partner Program, fostering long-term growth.</p>\n<p>· Contributing to strategic decisions through market analysis and feedback, shaping regional business direction.</p>\n<p>· Facilitating seamless collaboration between channel partners and internal Synopsys teams for efficient operations.</p>\n<p><strong>What You’ll Need:</strong></p>\n<p>· Bachelor’s degree in a technical, engineering, business or related field.</p>\n<p>· 6+ years of successful sales, key accounts, and indirect channel account management experience in the software industry, OR 8+ years of relevant experience.</p>\n<p>· Demonstrated understanding of scientific or technical software products/services, including pricing and licensing practices.</p>\n<p>· Proven consultative selling skills and experience with complex sales cycles.</p>\n<p>· Exceptional contract negotiation abilities with key accounts.</p>\n<p>· Strong analytical, planning, and organizational skills.</p>\n<p>· Fluent in English and Polish</p>\n<p>· Excellent time management, communication, and presentation skills.</p>\n<p>· Ability to travel up to 50% of the time</p>\n<p>· MBA or advanced degree, and experience in simulation/PLM software industry are preferred.</p>\n<p><strong>Who You Are:</strong></p>\n<p>· A collaborative leader who inspires and motivates others.</p>\n<p>· Strategic thinker with a proactive approach to problem-solving.</p>\n<p>· Effective communicator, able to engage with stakeholders at all levels.</p>\n<p>· Adaptable and resilient, thriving in fast-paced environments.</p>\n<p>· Customer-centric, always striving to deliver exceptional value.</p>\n<p>· Detail-oriented with strong organizational skills.</p>\n<p>· Committed to continuous personal and professional growth.</p>\n<p>The Team You’ll Be A Part Of:</p>\n<p>You’ll join a high-performing, collaborative sales team focused on driving growth through strategic partnerships and channel excellence. The team is passionate about delivering value to customers and partners, leveraging deep industry expertise and innovative sales strategies. You’ll work closely with regional leadership, technical sales, marketing, and operational teams to ensure seamless execution and continuous improvement in channel engagement.</p>\n<p>Rewards and Benefits:</p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.</p>\n<p>#LI-Remote, #LI-Hybrid, #AnsysJob</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_f7e96f58-da1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/warsaw/channel-sales-executive/44408/93005893712","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["sales","channel sales","ANSYS solutions","software industry","indirect and direct sales","channel partners","customers","consultative approach","customer needs","strategic mindset","data and market insights","sales strategies","growth","leadership skills","partner representatives","development and success","communication and negotiation skills","senior executives","key stakeholders","continuous learning","industry trends","best practices","English and Polish","cultural sensitivity","global perspective","technology and innovation","ANYSYS Channel principles","sales plan","territory","growth targets","sales opportunities","channel partner reps","sell-with approach","senior-level customer executives","new market opportunities","coaching and motivating","ANSYS selling skills","performance","joint customer visits","sales forecasts","pipeline and forecast","partner capacity and capabilities","optimal coverage and effectiveness","efficient workflows","ANSYS Partner Program","marketing programs","regional success and future growth","channel partner requests","issues","tactical solution strategies","customer satisfaction","market trends","go-to-market strategies"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:22:20.285Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"sales, channel sales, ANSYS solutions, software industry, indirect and direct sales, channel partners, customers, consultative approach, customer needs, strategic mindset, data and market insights, sales strategies, growth, leadership skills, partner representatives, development and success, communication and negotiation skills, senior executives, key stakeholders, continuous learning, industry trends, best practices, English and Polish, cultural sensitivity, global perspective, technology and innovation, ANYSYS Channel principles, sales plan, territory, growth targets, sales opportunities, channel partner reps, sell-with approach, senior-level customer executives, new market opportunities, coaching and motivating, ANSYS selling skills, performance, joint customer visits, sales forecasts, pipeline and forecast, partner capacity and capabilities, optimal coverage and effectiveness, efficient workflows, ANSYS Partner Program, marketing programs, regional success and future growth, channel partner requests, issues, tactical solution strategies, customer satisfaction, market trends, go-to-market strategies"},{"@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. 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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_d63f049e-ad7"},"title":"Security Lead, Agentic Red Team","description":"<p>Job Title: Security Lead, Agentic Red Team</p>\n<p>We&#39;re a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. Our mission is to close the &#39;Agentic Launch Gap&#39;; the critical window where novel AI capabilities outpace traditional security reviews.</p>\n<p>As the Security Lead for the Agentic Red Team, you will direct a specialized unit of AI Researchers and Offensive Security Engineers focused on adversarial AI and agentic exploitation. Operating as a technical player-coach, you will architect complex, multi-turn attack scenarios while managing cross-functional partnerships with Product Area leads and Google security to influence launch criteria.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Direct Agile Offensive Security: Lead a specialized red team focused on rapid, high-impact engagements targeting production-level AI models and systems.</li>\n<li>Perform Complex AI Exploitation: Develop and carry out advanced attack sequences that focus on vulnerabilities unique to GenAI, such as escalating privileges through tool usage, poisoning data, and executing multi-turn prompt injections.</li>\n<li>Design Automated Validation Systems: Collaborate with Google teams to engineer &#39;Auto RedTeaming&#39; solutions that transform manual vulnerability discoveries into robust, automated regression testing frameworks.</li>\n<li>Engineer Technical Countermeasures: Create innovative defense-in-depth frameworks and control systems to mitigate agentic logic errors and non-deterministic model behaviors.</li>\n<li>Manage Threat Intelligence Assets: Develop and oversee an evolving inventory of exploit primitives and agent-specific attack patterns used to establish release criteria and evaluate model security benchmarks.</li>\n<li>Establish Security Scope: Collaborate with Google for conventional infrastructure protection, allowing the team to concentrate solely on agentic logic, model inference, and AI-centric exploits.</li>\n</ul>\n<p>About You:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Information Security, or equivalent practical experience.</li>\n<li>Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.</li>\n<li>Deep technical understanding of LLM architectures and agentic workflows (e.g., chain-of-thought reasoning, tool usage).</li>\n<li>Proven ability to work in a consulting capacity with product teams, driving security improvements in fast-paced release cycles.</li>\n<li>Experience managing or technically leading small, high-performance engineering teams.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).</li>\n<li>Familiarity with AI safety benchmarks and evaluation frameworks.</li>\n<li>Experience writing code (Python, Go, or C++) to build automated security tools or fuzzers.</li>\n<li>Ability to communicate complex probabilistic risks to executive stakeholders and engineering teams effectively.</li>\n</ul>\n<p>The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + 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_d63f049e-ad7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7560787","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$248,000 - $349,000 + bonus + equity + benefits","x-skills-required":["Bachelor's degree in Computer Science, Information Security, or equivalent practical experience","Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning","Deep technical understanding of LLM architectures and agentic workflows","Proven ability to work in a consulting capacity with product teams","Experience managing or technically leading small, high-performance engineering teams"],"x-skills-preferred":["Hands-on experience developing exploits for GenAI models","Familiarity with AI safety benchmarks and evaluation frameworks","Experience writing code (Python, Go, or C++) to build automated security tools or fuzzers","Ability to communicate complex probabilistic risks to executive stakeholders and engineering teams effectively"],"datePosted":"2026-03-16T14:41:55.843Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US; 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You will create technical content to educate enterprise decision-makers, align technical capabilities with business goals, and accelerate sales cycles.</p>\n<p>Your role is critical in simplifying complex technical concepts, building trust, and driving adoption of our AI solutions.</p>\n<p>Responsibilities</p>\n<p>Create and Deliver Technical Content:</p>\n<ul>\n<li>Develop model/product technical launch materials, technical proof points, presentation decks, demo videos, webinars, workshops, blogs, whitepapers, and sales training materials.</li>\n</ul>\n<p>Enable Sales and Partners:</p>\n<ul>\n<li>Equip sales teams and partners with technical knowledge to engage in deeper, more credible conversations with technical stakeholders.</li>\n</ul>\n<p>Support Model Launches:</p>\n<ul>\n<li>Collaborate on model launches, ensuring technical messaging is clear and impactful.</li>\n</ul>\n<p>Engage with Analysts and Industry Leaders:</p>\n<ul>\n<li>Participate in analyst briefings, technical advisory boards (TABs), and industry standards discussions to position Mistral AI as a thought leader.</li>\n</ul>\n<p>Build Trust and Drive Adoption:</p>\n<ul>\n<li>Work with solutions architects and developer relations to ensure seamless integration and implementation of our solutions through targeted technical content.</li>\n</ul>\n<p>Interface with Science and Engineering:</p>\n<ul>\n<li>Act as the technical liaison between engineering, science, and marketing teams, translating complex LLM concepts (including pre-training and post-training techniques) into actionable insights for enterprise audiences.</li>\n</ul>\n<p>Who You Are</p>\n<p>Experience:</p>\n<ul>\n<li><p>3+ years in technical marketing, solutions engineering, or a similar role, preferably in AI/ML or enterprise software.</p>\n</li>\n<li><p>Experience with large language models (LLMs), including pre-training and post-training techniques, is a strong plus.</p>\n</li>\n</ul>\n<p>Technical Skills:</p>\n<ul>\n<li><p>Ability to understand and communicate complex technical concepts to both technical and non-technical audiences.</p>\n</li>\n<li><p>Familiarity with enterprise AI solutions, cloud environments, and technical sales enablement.</p>\n</li>\n<li><p>Strong written and verbal communication skills, with a knack for storytelling and simplifying complexity.</p>\n</li>\n</ul>\n<p>Mindset:</p>\n<ul>\n<li><p>Collaborative, creative, and low-ego.</p>\n</li>\n<li><p>Passionate about AI and its potential to transform industries.</p>\n</li>\n</ul>\n<p>Academic Background:</p>\n<ul>\n<li>Degree in Computer Science, Engineering, or a related technical field is preferred.</li>\n</ul>\n<p>It Would Be Ideal If You:</p>\n<ul>\n<li><p>Have hands-on experience with AI/ML models, especially in a technical marketing or solutions engineering capacity.</p>\n</li>\n<li><p>Are comfortable working in a fast-paced, innovative environment and thrive in cross-functional teams.</p>\n</li>\n<li><p>Have a track record of creating technical content that drives adoption and accelerates sales cycles.</p>\n</li>\n<li><p>Are based in or willing to relocate to Paris, EU.</p>\n</li>\n</ul>\n<p>What We Offer</p>\n<p>FRANCE</p>\n<ul>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company</p>\n</li>\n<li><p>Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership</p>\n</li>\n<li><p>Transportation: Monthly contribution to a mobility pass via Betterway</p>\n</li>\n<li><p>Health: Full health insurance for you and your family</p>\n</li>\n<li><p>Parental: Generous parental leave policy</p>\n</li>\n<li><p>Visa sponsorship</p>\n</li>\n</ul>\n<p>UK</p>\n<ul>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Health Insurance</p>\n</li>\n<li><p>Transportation: Reimburse office parking charges, or 90GBP/month for public transport</p>\n</li>\n<li><p>Sport: 90GBP/month allowance for gym membership</p>\n</li>\n<li><p>Food: £200 monthly allowance (solution might evolve as we grow bigger)</p>\n</li>\n<li><p>Pension plan: SmartPension (percentages are 5% Employee &amp; 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This is the perfect role for a proactive individual who wants to make a tangible impact, contribute ideas, and grow their skills in a supportive, high-energy environment.</p>\n<p><strong>What you&#39;ll be doing</strong></p>\n<p>As a vital contributor to our partner ecosystem, you will be responsible for the following:</p>\n<p><strong>Partner Lifecycle Management</strong></p>\n<p>Serve as the primary point of contact for our delivery partners, building strong relationships and proactively addressing queries. Oversee the entire partner journey, from onboarding and training to offboarding, ensuring a smooth and positive experience.</p>\n<p><strong>Operational Excellence</strong></p>\n<p>Collaborate with the Alliances Operations Lead to identify, implement, and document new processes to establish and share best practices globally. 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Advise partners on team development, including training and resourcing requirements, to build a center of excellence.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Proven experience in Alliances Operations, Partner Management, or a similar operational role, ideally within a technology or consulting environment.</li>\n<li>Data Analysis &amp; Reporting: Good working knowledge of BI tools (e.g., Power BI) to create and maintain reports.</li>\n<li>Resource &amp; Capacity Planning: Direct experience with resource and capacity planning for service delivery.</li>\n<li>Commercial Awareness: Familiarity with contract lifecycle management, including supporting the drafting and negotiation of rate cards.</li>\n<li>Systems: Experience with Professional Services Automation (PSA) tools (like Kantata) or CRM platforms (like Salesforce) is highly preferred.</li>\n<li>A natural and transparent communicator who builds trust.</li>\n<li>A proactive, confident self-starter with a solution-driven approach.</li>\n<li>Highly organised with a strong attention to detail.</li>\n<li>A collaborative team player who actively works to connect people and information.</li>\n<li>Enthusiasm for learning new tools and methodologies.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>At Q, we help you realise your full potential, thrive in your role, and enjoy what you do — all while being recognised and rewarded with a wide range of benefits.</p>\n<ul>\n<li>Competitive salary &amp; company bonus</li>\n<li>Private healthcare, life insurance &amp; income protection</li>\n<li>CycleScheme &amp; TechScheme</li>\n<li>Free Calm app subscription (#1 app for meditation, relaxation &amp; sleep)</li>\n<li>Pension scheme with 6% company contribution (when you contribute 3%)</li>\n<li>25 days annual leave (plus the option to buy up to 5 extra days) + your birthday off!</li>\n<li>Ongoing personal development opportunities</li>\n<li>WeWork office space &amp; company-wide socials</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_d0023162-764","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Quantexa","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/cca7BbU8vYokMPrQvE2j3Q/hybrid-senior-partner-operations-consultant-in-london-at-quantexa","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Data Analysis & Reporting","Resource & Capacity Planning","Commercial Awareness","Systems","Collaboration"],"x-skills-preferred":["Power BI","Kantata","Salesforce","Communication","Problem-solving"],"datePosted":"2026-03-09T17:03:25.235Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Data Analysis & Reporting, Resource & Capacity Planning, Commercial Awareness, Systems, Collaboration, Power BI, Kantata, Salesforce, Communication, Problem-solving"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f9b846f5-a43"},"title":"FBS Observability Engineer","description":"<p>Our Client is one of the United States&#39; largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&amp;C). 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This includes instrumentation, configuration, alert creation, coaching, and ongoing improvements.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3-5 years of experience as an Observability Engineer, Monitoring Engineer, Observability platform administrator, Dynatrace administrator or similar</li>\n<li>Full English Fluency</li>\n<li>BS in Computer Science or similar</li>\n<li>Experience in working in Complex environment in engineering or administration in a multinational environment from any industry.</li>\n</ul>\n<p><strong>Technical &amp; Business Skills</strong></p>\n<ul>\n<li>Platform Administration – Advanced</li>\n<li>Monitoring and Observability – Intermediate</li>\n<li>Communication, stakeholder management, Advance</li>\n<li>Technical Writing</li>\n<li>Implementation Experience Automation / Scripting - Intermediate</li>\n<li>Coding capacity - Desirable</li>\n<li>Process Improvement – Intermediate</li>\n<li>Dynatrace - Entry Level (1-3 Years) Desirable or others similar (AppDynamics, Splunk, New Relic, Solarwinds, Datadog)</li>\n<li>Office Suite - Intermediate (4-6 Years)</li>\n<li>Cloud Platforms (AWS/Azure/GCP) - Intermediate (4-6 Years) Working knowledge</li>\n</ul>\n<p>This position comes with competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p 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_f9b846f5-a43","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/vYDCLc6QSq2nPAc7cw5PGE/remote-fbs-observability-engineer-in-mexico-at-capgemini","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Platform Administration","Monitoring and Observability","Communication, stakeholder management","Technical Writing","Implementation Experience Automation / Scripting","Coding capacity","Process Improvement","Dynatrace","Office Suite","Cloud Platforms (AWS/Azure/GCP)"],"x-skills-preferred":["AppDynamics","Splunk","New Relic","Solarwinds","Datadog"],"datePosted":"2026-03-09T17:00:37.374Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Platform Administration, Monitoring and Observability, Communication, stakeholder management, Technical Writing, Implementation Experience Automation / Scripting, Coding capacity, Process Improvement, Dynatrace, Office Suite, Cloud Platforms (AWS/Azure/GCP), AppDynamics, Splunk, New Relic, Solarwinds, Datadog"},{"@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. 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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. 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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. 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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_0a7113f5-76c"},"title":"Engineering Manager, Cloud Inference AWS","description":"<p><strong>About the role</strong></p>\n<p>We are seeking an experienced Engineering Manager to lead the Cloud Inference team for AWS. You will lead your team to scale and optimize Claude to serve the massive audiences of developers and enterprise companies using AWS. You will own the end-to-end product of Claude on AWS, including API, load balancing, inference, capacity and operations. 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. Your work will increase the scale at which Anthropic operates and accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms.</p>\n<p><strong>Responsibilities:</strong></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><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management</li>\n<li>Have 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; comfortable with adapting priorities as driven by the rapidly evolving AI space</li>\n<li>Have excellent written and verbal communication skills</li>\n<li>Demonstrated success building a culture of belonging and engineering excellence</li>\n<li>Are motivated by developing AI responsibly and safely</li>\n<li>Are willing and able to travel frequently between Seattle and the SF Bay Area</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL</li>\n<li>Experience as a Product Manager</li>\n<li>Experience with deployment and capacity management automation</li>\n<li>Security and privacy best practice expertise</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. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as a collaborative effort, and we work closely with other researchers, engineers, and experts to advance our understanding of AI and its applications.</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_0a7113f5-76c","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/5141377008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000 - $485,000 USD","x-skills-required":["high-scale, high-reliability software development","infrastructure or capacity management","engineering management","recruiting, scaling, and retaining engineering talent","scaling products, resources and operations","machine learning infrastructure","deployment and capacity management automation","security and privacy best practice expertise"],"x-skills-preferred":["experience with GPUs, TPUs, or Trainium","experience as a Product Manager","experience with networking infrastructure like NCCL"],"datePosted":"2026-03-08T13:56:51.226Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"high-scale, high-reliability software development, infrastructure or capacity management, engineering management, recruiting, scaling, and retaining engineering talent, scaling products, resources and operations, machine learning infrastructure, deployment and capacity management automation, security and privacy best practice expertise, experience with GPUs, TPUs, or Trainium, experience as a Product Manager, experience with networking infrastructure like NCCL","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_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_25934fbc-c50"},"title":"Staff / Senior Software Engineer, Cloud Inference","description":"<p><strong>About the Role</strong></p>\n<p>The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform—from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.</p>\n<p>Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic&#39;s most precious resources—compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need engineers who can navigate these platform differences, build robust abstractions that work across providers, and make smart infrastructure decisions that keep us cost-effective at massive scale.</p>\n<p>Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models</li>\n<li>Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms</li>\n<li>Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions</li>\n<li>Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity</li>\n<li>Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads</li>\n<li>Optimize inference cost and performance across providers—designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region</li>\n<li>Contribute to inference features that must work consistently across all platforms</li>\n<li>Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users</li>\n<li>Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration</li>\n<li>Have strong interest in inference</li>\n<li>Thrive in cross-functional collaboration with both internal teams and external partners</li>\n<li>Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems</li>\n<li>Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work</li>\n<li>Pick up slack, even when it goes outside your job description</li>\n</ul>\n<p><strong>Strong Candidates May Also Have Experience With</strong></p>\n<ul>\n<li>Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings</li>\n<li>A background in building platform-agnostic tooling or abstraction layers that work across cloud providers</li>\n<li>Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments</li>\n<li>Strong familiarity with LLM inference optimization, batching, caching, and serving strategies</li>\n<li>Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators</li>\n<li>Background designing and building CI/CD systems that automate deployment and validation across cloud environments</li>\n<li>Solid understanding of multi-region deployments, geographic routing, and global traffic management</li>\n<li>Proficiency in Python or Rust</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 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_25934fbc-c50","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/5107466008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$300,000 - $485,000 USD","x-skills-required":["Software engineering","Cloud infrastructure","Kubernetes","Infrastructure as Code","Container orchestration","LLM inference optimization","Batching","Caching","Serving strategies","Machine learning infrastructure","GPUs","TPUs","Trainium","AI accelerators","CI/CD systems","Deployment and validation","Cloud environments","Multi-region deployments","Geographic routing","Global traffic management"],"x-skills-preferred":["Python","Rust","Cloud platforms","Networking","Security","Privacy","Billing","Managed service offerings","Platform-agnostic tooling","Abstraction layers","Capacity management","Cost optimization","Resource planning"],"datePosted":"2026-03-08T13:49:59.956Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, Cloud infrastructure, Kubernetes, Infrastructure as Code, Container orchestration, LLM inference optimization, Batching, Caching, Serving strategies, Machine learning infrastructure, GPUs, TPUs, Trainium, AI accelerators, CI/CD systems, Deployment and validation, Cloud environments, Multi-region deployments, Geographic routing, Global traffic management, Python, Rust, Cloud platforms, Networking, Security, Privacy, Billing, Managed service offerings, Platform-agnostic tooling, Abstraction layers, Capacity management, Cost optimization, Resource planning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_459d7a0d-23e"},"title":"Technical Program Manager, Inference Performance","description":"<p>As a Technical Program Manager for Inference, you&#39;ll be the critical bridge between our inference systems and the broader organisation. You&#39;ll drive strategic initiatives across inference runtime and accelerator performance—coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li><strong>Systems Integration &amp; Coordination</strong>: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.</li>\n<li><strong>Performance &amp; Efficiency:</strong> Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.</li>\n<li><strong>Launch Coordination:</strong> Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.</li>\n<li><strong>Strategic Planning:</strong> Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.</li>\n<li><strong>Stakeholder Communication:</strong> Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.</li>\n<li><strong>Process Improvement:</strong> Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems</li>\n<li>Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.</li>\n<li>Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives</li>\n<li>Have strong stakeholder management skills and can build trust with both technical and non-technical partners</li>\n<li>Are comfortable navigating competing priorities and using data to drive technical decisions</li>\n<li>Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance</li>\n<li>Thrive in fast-paced environments and can balance strategic planning with tactical execution</li>\n<li>Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_459d7a0d-23e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5107763008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000 - $365,000USD","x-skills-required":["technical program management","inference systems","compilers","hardware accelerators","cross-functional initiatives","model launches","cross-platform dependencies","reliability","performance metrics","capacity gains","efficiency wins","runtime","accelerator layers","launch timelines","smooth handoffs","strategic planning","inference deployment roadmap","engineering leadership","prioritisation","dependencies","visibility","upcoming changes","organisational impact","stakeholder communication","requirements","constraints","technical complexities","clear updates","leadership","alignment","priorities","timelines","process improvement","inefficiencies","workflows","systematic improvements","metrics","dashboards","infrastructure health","capacity utilisation","deployment success rates"],"x-skills-preferred":["infrastructure scaling initiatives","hardware integrations","deployment governance","fast-paced environments","strategic planning","tactical execution","AI infrastructure","large language models"],"datePosted":"2026-03-08T13:48:59.030Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical program management, inference systems, compilers, hardware accelerators, cross-functional initiatives, model launches, cross-platform dependencies, reliability, performance metrics, capacity gains, efficiency wins, runtime, accelerator layers, launch timelines, smooth handoffs, strategic planning, inference deployment roadmap, engineering leadership, prioritisation, dependencies, visibility, upcoming changes, organisational impact, stakeholder communication, requirements, constraints, technical complexities, clear updates, leadership, alignment, priorities, timelines, process improvement, inefficiencies, workflows, systematic improvements, metrics, dashboards, infrastructure health, capacity utilisation, deployment success rates, infrastructure scaling initiatives, hardware integrations, deployment governance, fast-paced environments, strategic planning, tactical execution, AI infrastructure, large language models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b82f7d7c-63e"},"title":"Datacenter NetDeploy Lead - Stargate","description":"<p><strong>Location</strong></p>\n<p>Remote - US</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Remote</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$125.6K – $228K • 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><strong>About the Team</strong></strong></p>\n<p>OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. This team defines and executes our core infrastructure strategy. From site selection through full buildout, we sit at the intersection of commercial, technical, strategy, and operations, partnering closely with internal teams and external stakeholders.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>We are seeking a Datacenter NetDeploy Lead to own the end-to-end execution of physical network deployments in data center environments. This role bridges Network Engineering, Capacity Delivery/Construction, Data Center Engineering, and Operations to ensure network infrastructure is installed, validated, and formally handed over in a production-ready state. The NetDeploy Lead is accountable for vendor execution, schedule delivery, quality standards, and in-field issue resolution, while maintaining strict alignment to documented standards, ticketing, cleanliness, and escalation protocols.</p>\n<p><strong><strong>Key Responsibilities</strong></strong></p>\n<ul>\n<li>Lead full lifecycle physical network deployments for new builds, expansions, and refreshes.</li>\n</ul>\n<ul>\n<li>Translate network topologies, cabling designs, and BOMs into executable field plans and sequencing.</li>\n</ul>\n<ul>\n<li>Oversee and/or coordinate rack-and-stack of network equipment (switches, OOB, ancillary network systems).</li>\n</ul>\n<ul>\n<li>Oversee and/or coordinate fiber trunk pulls, routing, and termination to patch panels / equipment.</li>\n</ul>\n<ul>\n<li>Oversee and/or coordinate patch panel installation, patching, labeling, and cable management.</li>\n</ul>\n<ul>\n<li>Drive port-to-port verification, continuity testing, and validation sign-off.</li>\n</ul>\n<ul>\n<li>Ensure work follows documented standards and runbooks (tables, tickets, checklists, cleanliness, escalation).</li>\n</ul>\n<ul>\n<li>Develop the systems, processes, and tools to enable deployment and maintenance of deployed systems.</li>\n</ul>\n<ul>\n<li>Source, evaluate, and manage vendors across structured cabling, JIT fiber remediation, rack-and-stack/patching teams, and testing/verification support.</li>\n</ul>\n<ul>\n<li>Define scope, develop SOWs, validate pricing, and manage execution to contract terms; 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ensure as-builts, labeling, port maps, and test evidence are delivered; execute formal ownership transfer so Ops can maintain/operate the network.</li>\n</ul>\n<ul>\n<li>Build and manage deployment schedules, sequencing plans, and milestone tracking; forecast labor needs, vendor ramp, and critical path dependencies.</li>\n</ul>\n<ul>\n<li>Track cost drivers (labor, materials, change orders) and manage contract burn.</li>\n</ul>\n<ul>\n<li>Identify risks early and drive mitigation plans to protect turn-up dates.</li>\n</ul>\n<ul>\n<li>Enforce adherence to deployment standards (labeling, patching, cleanliness, cable management), ticket-driven execution/closure, escalation protocols, change management, and documentation deliverables (as-builts, port maps, test result</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_b82f7d7c-63e","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/4f7ccd3c-0f85-4384-a310-d751993ed431","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125.6K – $228K","x-skills-required":["Network Engineering","Capacity Delivery/Construction","Data Center Engineering","Operations","Vendor Management","Project Management","Risk Management","Change Management","Documentation","Communication"],"x-skills-preferred":["Cloud Computing","Cybersecurity","Data Analytics","DevOps","IT Service Management","Network Architecture","Network Security","Project Planning","Quality Assurance","Supply Chain Management"],"datePosted":"2026-03-06T18:41:19.253Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Network Engineering, Capacity Delivery/Construction, Data Center Engineering, Operations, Vendor Management, Project Management, Risk Management, Change Management, Documentation, Communication, Cloud Computing, Cybersecurity, Data Analytics, DevOps, IT Service Management, Network Architecture, Network Security, Project Planning, Quality Assurance, Supply Chain Management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125600,"maxValue":228000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_65b324e9-3a7"},"title":"Program Manager","description":"<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>IT</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$162K – $240K • 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. 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This includes all low voltage, ISP connectivity, network infrastructure, audio visual, physical security systems and related IT scopes of work.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Cross-functional coordination between internal teams, construction and related trades and other vendors/service providers.</li>\n</ul>\n<ul>\n<li>Manage the design, bid, implementation, commissioning and handover process for ISP connectivity, low voltage cabling and network infrastructure (MDF/IDF, MPOEs, inside/outside cabling plant, etc.).</li>\n</ul>\n<ul>\n<li>Manage the design, bid, implementation, commissioning and handover process for audio-visual/video-conference systems (digital signage, wayfinding systems, conference rooms, training rooms and all hands spaces).</li>\n</ul>\n<ul>\n<li>Partner with the Corporate Security team to implement supporting infrastructure and network integration for access control, surveillance systems and intrusion detection.</li>\n</ul>\n<ul>\n<li>Manage project schedules, status updates, executive communications for the builds portfolio.</li>\n</ul>\n<ul>\n<li>Develop drawing packages and specification narratives in support of project design and execution.</li>\n</ul>\n<ul>\n<li>Manage procurement and provide guidance to FP&amp;A on budget and cost management.</li>\n</ul>\n<ul>\n<li>Identify, categorize, mitigate and monitor project delivery risks.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Strong project and program management capabilities.</li>\n</ul>\n<ul>\n<li>Strong knowledge of the architectural design process (schematic design, design development, construction documents).</li>\n</ul>\n<ul>\n<li>Strong knowledge of commercial real estate construction processes.</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills.</li>\n</ul>\n<ul>\n<li>Vendor management experience (Vendor vetting, RFP and bid response, performance management, handover).</li>\n</ul>\n<ul>\n<li>Understanding of mechanical power, cooling systems and capacity planning.</li>\n</ul>\n<ul>\n<li>Ability to read construction and engineering plan drawings.</li>\n</ul>\n<ul>\n<li>PMP or equivalent project management certification.</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 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_65b324e9-3a7","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/61e43cfe-6783-411d-b621-3d035eda06e5","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$162K – $240K • Offers Equity","x-skills-required":["project management","architectural design process","commercial real estate construction processes","vendor management","mechanical power","cooling systems","capacity planning","construction and engineering plan drawings","PMP or equivalent project management certification"],"x-skills-preferred":["strong knowledge of the architectural design process","strong knowledge of commercial real estate construction processes","excellent written and verbal communication skills","vendor management experience","understanding of mechanical power","cooling systems","capacity planning"],"datePosted":"2026-03-06T18:39:46.323Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"project management, architectural design process, commercial real estate construction processes, vendor management, mechanical power, cooling systems, capacity planning, construction and engineering plan drawings, PMP or equivalent project management certification, strong knowledge of the architectural design process, strong knowledge of commercial real estate construction processes, excellent written and verbal communication skills, vendor management experience, understanding of mechanical power, cooling systems, capacity planning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":162000,"maxValue":240000,"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; 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Acting as a strategic partner to leadership, this role bridges vision and execution through strong systems thinking, operational rigor, and emotional intelligence.</p>\n<p><strong>About the Role</strong></p>\n<p>This role enables the EBP community through a matrix operating model, where EBPs remain embedded with their executive stakeholders and functional leadership while operating against shared, organization-wide expectations. The Executive Business Operations Program Manager drives cross-functional alignment by establishing common standards, operating rhythms, and pragmatic governance that create clarity, consistency, and measurable impact across teams. The model preserves executive autonomy and functional ownership while improving coordination, prioritization, and execution at scale.</p>\n<p>This role is based in San Francisco, CA. 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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</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_2410222e-b9e","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/7460f4fb-f2e2-473f-9932-0c4d6d427b62","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$279K – $400K • Offers Equity","x-skills-required":["Executive Business Partner","Leadership","Systems thinking","Operational rigor","Emotional intelligence","Strategic planning","Budgeting","Headcount planning","Resource allocation","Capacity planning","Workload balancing","Data-driven insights","Performance metrics","Continuous improvement","Training and development","Succession planning","Professional growth","Career pathways","Standards of excellence","Discretion","Sound judgment","Proactive communication"],"x-skills-preferred":["Project management","Process improvement","Change management","Communication","Collaboration","Problem-solving","Analytical skills","Business acumen","Technical skills"],"datePosted":"2026-03-06T18:36:14.661Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Executive Business Partner, Leadership, Systems thinking, Operational rigor, Emotional intelligence, Strategic planning, Budgeting, Headcount planning, Resource allocation, Capacity planning, Workload balancing, Data-driven insights, Performance metrics, Continuous improvement, Training and development, Succession planning, Professional growth, Career pathways, Standards of excellence, Discretion, Sound judgment, Proactive communication, Project management, Process improvement, Change management, Communication, Collaboration, Problem-solving, Analytical skills, Business acumen, Technical skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":279000,"maxValue":400000,"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. 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