{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/optimizations"},"x-facet":{"type":"skill","slug":"optimizations","display":"Optimizations","count":23},"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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You&#39;ll present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.</p>\n<p>Ideally, you&#39;d have 8+ years of full-time engineering experience, post-graduation, with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. You&#39;ll need extensive experience in various database technologies, streaming/processing solutions, indexing/caching, and various data query engines.</p>\n<p>As a Staff Software Engineer, you&#39;ll provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. You&#39;ll possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.</p>\n<p>Experience working fluently with standard containerization &amp; deployment technologies like Kubernetes and various public cloud offerings is essential. You&#39;ll also need extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and data systems.</p>\n<p>You&#39;ll drive cross-functional collaboration and communication at an organizational or broader level, and be excited to work with AI technologies.</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_88132c81-446","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4649903005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["database technologies","streaming/processing solutions","indexing/caching","data query engines","containerization & deployment technologies","public cloud offerings","software development","distributed systems","cloud platforms","data systems"],"x-skills-preferred":["performance tuning","cost optimizations","data lifecycle strategy","data privacy","hyper-growth startups","AI technologies"],"datePosted":"2026-04-18T16:00:04.417Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"database technologies, streaming/processing solutions, indexing/caching, data query engines, containerization & deployment technologies, public cloud offerings, software development, distributed systems, cloud platforms, data systems, performance tuning, cost optimizations, data lifecycle strategy, data privacy, hyper-growth startups, AI technologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6ddce508-2c7"},"title":"ML Systems Engineer, Robotics","description":"<p>We&#39;re looking for an experienced ML Systems Engineer to join our Physical AI team. As an ML Systems Engineer, you will design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents. Our platform powers cutting-edge research and production systems, supporting both internal research discovery and external customer use cases for autonomous vehicles and robotics.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Build &amp; Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.</li>\n<li>Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.</li>\n<li>Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.</li>\n<li>Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.</li>\n<li>Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.</li>\n<li>Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.</li>\n<li>Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).</li>\n<li>Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).</li>\n<li>Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.</li>\n<li>Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).</li>\n<li>IaC: Familiarity with infrastructure as code (e.g., Terraform).</li>\n<li>Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.</li>\n</ul>\n<p>Nice to Haves:</p>\n<ul>\n<li>Exposure to Vision-Language-Action (VLA) models.</li>\n<li>Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).</li>\n<li>Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</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_6ddce508-2c7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4663053005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$227,200-$284,000 USD","x-skills-required":["Machine Learning","Backend Systems","Cloud Environments","GPU-Level Algorithm Optimizations","Systems-Level Languages","Containerization","Orchestration","Cloud Providers","Infrastructure as Code"],"x-skills-preferred":["Vision-Language-Action Models","High-Performance Video Processing","3D Data Handling","Robotics Middleware","AV Data Formats"],"datePosted":"2026-04-18T15:59:25.195Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Backend Systems, Cloud Environments, GPU-Level Algorithm Optimizations, Systems-Level Languages, Containerization, Orchestration, Cloud Providers, Infrastructure as Code, Vision-Language-Action Models, High-Performance Video Processing, 3D Data Handling, Robotics Middleware, AV Data Formats","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":227200,"maxValue":284000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b05b9f90-7d3"},"title":"Data Center Engineer, Resource Efficiency – Compute 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 that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.</li>\n</ul>\n<ul>\n<li>Build and operate load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.</li>\n</ul>\n<ul>\n<li>Partner with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>Deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. 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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As a key member of our AIRE (AI Reliability Engineering) team, you will partner with teams across Anthropic to improve reliability across our most critical serving paths. You will develop Service Level Objectives for large language model serving systems, design and implement monitoring and observability systems, assist in the design and implementation of high-availability serving infrastructure, lead incident response for critical AI services, and support the reliability of safeguard model serving.</p>\n<p>You may be a good fit for this role if you have strong distributed systems, infrastructure, or reliability backgrounds, are curious and brave, think holistically about how systems compose and where the seams are, can build lasting relationships across teams, care about users and feel ownership over outcomes, have excellent communication and collaboration skills, and bring diverse experience.</p>\n<p>Strong candidates may also have experience operating large-scale model serving or training infrastructure, experience with one or more ML hardware accelerators, understanding of ML-specific networking optimizations, expertise in AI-specific observability tools and frameworks, experience with chaos engineering and systematic resilience testing, and contributions to open-source infrastructure or ML tooling.</p>\n<p>We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. We value impact and believe that the highest-impact AI research will be big science. We work as a single cohesive team on just a few large-scale research efforts and value communication skills.</p>\n<p>If you&#39;re interested in this role, please submit an application even if you don&#39;t believe you meet every single qualification. 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As a member of this team, you will design and own core platform components that power AI across Airbnb Payments.</p>\n<p>The Payments AI/ML Foundation team builds the shared platforms, services, and guardrails that enable product and data teams across Airbnb Payments to deliver trustworthy, efficient, and scalable AI capabilities.</p>\n<p>As a Senior Software Engineer on Payments AI/ML Foundation, you will:</p>\n<ul>\n<li>Design and own core platform components that power AI across Airbnb Payments</li>\n<li>Partner with product, infra, data science, and operations to translate ambiguous requirements into robust systems with clear SLAs</li>\n<li>Build tooling and automation that makes AI development safer and faster</li>\n<li>Raise the bar on reliability, performance, and governance for models and agents in production</li>\n</ul>\n<p>A typical day for this role will involve envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.</p>\n<p>You will work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.</p>\n<p>Hands-on productionize and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases.</p>\n<p>Lead, mentor, challenge and grow enthusiastic, collaborative AI/ML culture within the organization.</p>\n<p>Your expertise should include:</p>\n<ul>\n<li>A degree in Computer Science or equivalent qualification</li>\n<li>7+ years of industry experience in backend/platform engineering (or equivalent), including ownership of production systems</li>\n<li>Strong programming skills in Python, plus solid data engineering foundations</li>\n<li>Good to have experience with AI frameworks (Langraph, Strand etc), orchestration (Airflow/Kubeflow), and streaming/processing (Kafka/Spark/Ray)</li>\n<li>Proven track record building observability for AI systems (metrics/logging/traces), with automated alerting, dashboards, and SLO management</li>\n<li>Experience designing model governance and safety guardrails (prompt/version control, red-teaming, policy checks, approvals)</li>\n<li>Demonstrated ability to drive performance/cost optimizations (profiling, batching, caching, quantization, autoscaling) in high-traffic environments</li>\n<li>Practical familiarity with vector search/embedding pipelines (indexing strategies, consistency, reindexing, retention)</li>\n</ul>\n<p>Our commitment to inclusion and belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. 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We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.</p>\n<p>Join the team as Twilio&#39;s next Software Engineer L3. This position is that of a Senior Software Engineer to join Twilio&#39;s Messaging Compliance Onboarding team. Programmable Messaging is Twilio&#39;s biggest product. To keep pace with the evolving messaging compliance ecosystem, we need strong engineers that can create innovative solutions to ensure compliance with Twilio partners.</p>\n<p>In this role, you&#39;ll build and maintain multiple compliance program workflows, carrier/ecosystem integrations and customer interactions in the Compliance domain. 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If your career is just starting or hasn&#39;t followed a traditional path, don&#39;t let that stop you from considering Twilio.</p>\n<p>We are always looking for people who will bring something new to the table!</p>\n<p>*Required:</p>\n<ul>\n<li>5+ years of experience and a strong fundamental knowledge of software development using JVM languages.</li>\n</ul>\n<ul>\n<li>Experience building web services incorporating best practices for external systems integration, including defensive and hardened approaches to mitigate downstream issues.</li>\n</ul>\n<ul>\n<li>Experience working with highly scalable APIs, high volume data pipelines and large distributed systems.</li>\n</ul>\n<ul>\n<li>Maintaining and operating cloud services.</li>\n</ul>\n<ul>\n<li>An unwillingness to settle for &#39;good enough&#39;, instead staying focused on longevity through well-tested code and continuous improvement.</li>\n</ul>\n<ul>\n<li>Demonstrated commitment to seeking diverse viewpoints and acting with intention to create an inclusive team environment.</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills. 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All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.</p>\n<p>Applications for this role are intended to be accepted until 4/10/2026, but may change based on business needs.</p>\n<p>Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!</p>\n<p>If this role isn&#39;t what you&#39;re looking for, please consider other open positions.</p>\n<p>Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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If you’re passionate about building delightful consumer experiences, iterating quickly with data and experimentation, and operating at the intersection of AI and shopping, this is a chance to work on a fast-moving product with real visibility and impact—while being part of a team that values clarity, craftsmanship, and collaborative execution.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and ship Copilot Shopping experiences end-to-end, with a solid emphasis on frontend quality (UX polish, accessibility, performance, reliability)</li>\n<li>Work fluidly across the full architecture: client (web/mobile), services/APIs, data contracts, telemetry/experimentation, and operational tooling</li>\n<li>Partner closely with Product, Design, and Data Science to define success metrics, instrument telemetry, run experiments, and iterate based on outcomes</li>\n<li>Design and implement reusable UI components and client patterns, while also contributing to service integration and backend changes when needed to unblock or improve the experience</li>\n<li>Drive engineering excellence via code reviews, automated testing, CI/CD hygiene, performance profiling, and solid live-site ownership (monitoring, alerting, incident response)</li>\n<li>Debug and resolve complex issues that span client – service – data/telemetry, improving observability and reducing time-to-diagnosis</li>\n<li>Make pragmatic architecture decisions that increase modularity, maintainability, scalability, and developer velocity</li>\n<li>Mentor and elevate the team through technical leadership, documentation, and best practices</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience</li>\n<li>Meaningful frontend and full-stack ownership delivering polished, performant user experiences across web and/or mobile surfaces (Kotlin/Swift/web)</li>\n<li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter</li>\n<li>Preferred Qualifications:<ul>\n<li>Master’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</li>\n<li>Bachelor’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 equivalent experience</li>\n<li>Experience integrating clients with backend systems via client–server contracts (e.g., REST/JSON, GraphQL, SSE/WebSockets) and collaborating on API/data contract design</li>\n<li>Demonstrated ability to debug and troubleshoot client issues and drive performance optimizations for high quality user experiences</li>\n<li>Experience building accessible applications that follow WCAG and ADA specifications</li>\n<li>Strong collaboration skills and data-driven execution: work effectively with engineers, PM, design, and partner teams; instrument telemetry and use data to iterate</li>\n</ul>\n</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_300cf748-78f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-frontend-full-stack-2/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"CAD $114,400 – CAD $203,900 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Web (e.g., React)","Kotlin","Swift","Frontend development","Full-stack development","UI/UX design","Accessibility","Performance optimization","Telemetry","Experimentation","API design","Client-server contracts","REST/JSON","GraphQL","SSE/WebSockets"],"x-skills-preferred":["Master’s Degree in Computer Science or related technical field","6+ years technical engineering experience","Experience integrating clients with backend systems","Collaborating on API/data contract design","Debugging and troubleshooting client issues","Driving performance optimizations","Building accessible applications","Strong collaboration skills","Data-driven execution"],"datePosted":"2026-03-08T22:09:23.469Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Web (e.g., React), Kotlin, Swift, Frontend development, Full-stack development, UI/UX design, Accessibility, Performance optimization, Telemetry, Experimentation, API design, Client-server contracts, REST/JSON, GraphQL, SSE/WebSockets, Master’s Degree in Computer Science or related technical field, 6+ years technical engineering experience, Experience integrating clients with backend systems, Collaborating on API/data contract design, Debugging and troubleshooting client issues, Driving performance optimizations, Building accessible applications, Strong collaboration skills, Data-driven execution","baseSalary":{"@type":"MonetaryAmount","currency":"CAD","value":{"@type":"QuantitativeValue","minValue":114400,"maxValue":203900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c930b80e-7a6"},"title":"Staff / Senior Software Engineer, AI Reliability","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>AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects.</p>\n<p>Reliability here is an emergent phenomenon that transcends any single team&#39;s boundaries, so someone has to zoom out and look at the whole picture. That&#39;s us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most.</p>\n<p>Claude has your back. AIRE has Claude&#39;s. Help us keep Claude reliable for everyone who depends on it.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity.</li>\n</ul>\n<ul>\n<li>Design and implement monitoring and observability systems across the token path.</li>\n</ul>\n<ul>\n<li>Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers</li>\n</ul>\n<ul>\n<li>Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements.</li>\n</ul>\n<ul>\n<li>Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic&#39;s safety commitments.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have strong distributed systems, infrastructure, or reliability backgrounds -- we&#39;re looking for reliability-minded software engineers and SREs.</li>\n</ul>\n<ul>\n<li>Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don&#39;t have deep expertise yet.</li>\n</ul>\n<ul>\n<li>Think holistically about how systems compose and where the seams are.</li>\n</ul>\n<ul>\n<li>Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions.</li>\n</ul>\n<ul>\n<li>Care about users and feel ownership over outcomes, even for systems you don&#39;t own.</li>\n</ul>\n<ul>\n<li>Have excellent communication and collaboration skills -- you&#39;ll be partnering across the entire company.</li>\n</ul>\n<ul>\n<li>Bring diverse experience -- the team&#39;s strength comes from people who&#39;ve built product stacks, scaled databases, run massive distributed systems, and everything in between.</li>\n</ul>\n<p><strong>Strong candidates may also:</strong></p>\n<ul>\n<li>Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems</li>\n</ul>\n<ul>\n<li>Have experience operating large-scale model serving or training infrastructure (&gt;1000 GPUs).</li>\n</ul>\n<ul>\n<li>Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium).</li>\n</ul>\n<ul>\n<li>Understand ML-specific networking optimizations like RDMA and InfiniBand.</li>\n</ul>\n<ul>\n<li>Have expertise in AI-specific observability tools and frameworks.</li>\n</ul>\n<ul>\n<li>Have experience with chaos engineering and systematic resilience testing.</li>\n</ul>\n<ul>\n<li>Have contributed to open-source infrastructure or ML tooling.</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. 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.</strong></p>\n<p><strong>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.</strong></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 team sport, where everyone contributes to the overall success of the team.</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_c930b80e-7a6","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/5113224008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$325,000 - $485,000 USD","x-skills-required":["distributed systems","infrastructure","reliability","large language model serving systems","monitoring and observability systems","high-availability serving infrastructure","incident response","safeguard model serving"],"x-skills-preferred":["SRE","Production Engineer","ML hardware accelerators","ML-specific networking optimizations","AI-specific observability tools and frameworks","chaos engineering","systematic resilience testing","open-source infrastructure or ML tooling"],"datePosted":"2026-03-08T13:50:54.182Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, infrastructure, reliability, large language model serving systems, monitoring and observability systems, high-availability serving infrastructure, incident response, safeguard model serving, SRE, Production Engineer, ML hardware accelerators, ML-specific networking optimizations, AI-specific observability tools and frameworks, chaos engineering, systematic resilience testing, open-source infrastructure or ML tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_11a60d5a-f54"},"title":"Performance Engineer, GPU","description":"<p><strong>About the role:</strong></p>\n<p>Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you&#39;ll architect and implement the foundational systems that power Claude and push the frontiers of what&#39;s possible with large language models. You&#39;ll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency.</p>\n<p>Working at the intersection of hardware and software, you&#39;ll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.</p>\n<p>Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.</p>\n<p><strong>You might be a good fit if you:</strong></p>\n<ul>\n<li>Have deep experience with GPU programming and optimization at scale</li>\n<li>Are impact-driven, passionate about delivering measurable performance breakthroughs</li>\n<li>Can navigate complex systems from hardware interfaces to high-level ML frameworks</li>\n<li>Enjoy collaborative problem-solving and pair programming</li>\n<li>Want to work on state-of-the-art language models with real-world impact</li>\n<li>Care about the societal impacts of your work</li>\n<li>Thrive in ambiguous environments where you define the path forward</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization</li>\n<li>ML Compilers &amp; Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators</li>\n<li>Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight</li>\n<li>Distributed Systems: NCCL, NVLink, collective communication, model parallelism</li>\n<li>Low-Precision: INT8/FP8 quantization, mixed-precision techniques</li>\n<li>Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration</li>\n</ul>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Co-design attention mechanisms and algorithms for next-generation hardware architectures</li>\n<li>Develop custom kernels for emerging quantization formats and mixed-precision techniques</li>\n<li>Design distributed communication strategies for multi-node GPU clusters</li>\n<li>Optimize end-to-end training and inference pipelines for frontier language models</li>\n<li>Build performance modeling frameworks to predict and optimize GPU utilization</li>\n<li>Implement kernel fusion strategies to minimize memory bandwidth bottlenecks</li>\n<li>Create resilient systems for planet-scale distributed training infrastructure</li>\n<li>Profile and eliminate performance bottlenecks in production serving infrastructure</li>\n<li>Partner with hardware vendors to influence future accelerator capabilities and software stacks</li>\n</ul>\n<p><strong>Deadline to apply:</strong> None. 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We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets.</p>\n<p>This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the center of our decision-making.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a full-funnel growth athlete with deep expertise in product growth, growth marketing, creative-led social channels, Korean consumer behavior, funnel optimization, and sophisticated experimentation. You will own growth initiatives end-to-end, from ideation and creative development to deployment, measurement, and iteration, with a focus on Korea’s high standards for product quality, trust, and speed.</p>\n<p>This role requires close collaboration with engineering, product, DS, and design to execute localized growth motions. You’ll focus on scaling acquisition through Korea’s dominant channels, optimizing conversion, and driving ChatGPT Business adoption across Korea’s sophisticated business and SME ecosystems.</p>\n<p>This role is based in Korea. Travel as needed for key cross-functional sprints and regional collaboration.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, launch, and optimize global paid and organic acquisition campaigns across channels (search, social, referral, influencer, programmatic), balancing efforts across B2B and B2C segments.</li>\n</ul>\n<ul>\n<li>Leading growth experiments and A/B testing across funnels and entry points - defining hypotheses, setting up measurement frameworks, enhancing conversions, and translating insights into scalable playbooks.</li>\n</ul>\n<ul>\n<li>Partnering with engineering and data science to build, test, and refine growth tooling, creative ops automation, and optimization algorithms.</li>\n</ul>\n<ul>\n<li>Managing full-funnel performance metrics, from CPM/CPC to LTV/CAC, and identifying new opportunities for efficiency and scale.</li>\n</ul>\n<ul>\n<li>Developing AI-native workflows that transform how we scale, reach, personalize bringing users from out-of-product experiences to in-product entry points and LTV-optimized user journeys.</li>\n</ul>\n<ul>\n<li>Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.</li>\n</ul>\n<ul>\n<li>Expanding growth channels and market coverage, with attention to localization and regional performance nuances.</li>\n</ul>\n<ul>\n<li>Driving influencer and creator partnerships as part of the paid and organic growth mix.</li>\n</ul>\n<ul>\n<li>Collaborating with product teams to improve in-product conversion and onboarding flows.</li>\n</ul>\n<ul>\n<li>Developing and refining our attribution models, marketing tech stack, and automation processes to ensure we’re always optimizing for maximum impact.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>8+ years of experience in growth optimizations, growth marketing, performance marketing, or product growth, or product strategy and operations experience, ideally in hyper-growth tech companies.</li>\n</ul>\n<ul>\n<li>Proven ability to launch, scale, and optimize paid channels.</li>\n</ul>\n<ul>\n<li>Strong analytical skills and proficiency with measurement and funnel optimizations. (BI, SQL, experimentation, statistically rigorous testing, conversion optimizations).</li>\n</ul>\n<ul>\n<li>Experience with AI-driven marketing tools, creative ops engineering, and workflow automation.</li>\n</ul>\n<ul>\n<li>Familiarity with engineering concepts and ability to work with technical teams to ship growth and martech infrastructure.</li>\n</ul>\n<ul>\n<li>A test-and-learn mindset and comfort with fast-paced, ambiguous environments.</li>\n</ul>\n<ul>\n<li>Excellent cross-functional communication skills and stakeholder management experience.</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_5d03d4c2-664","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/c6ce7090-9061-4dae-90d5-3e120f179a39","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["growth optimizations","growth marketing","performance marketing","product growth","AI-powered workflows","in-product optimization","insights","experimentation","creative ops engineering","workflow automation","BI","SQL","experimentation","statistically rigorous testing","conversion optimizations","AI-driven marketing tools","engineering concepts"],"x-skills-preferred":["Korean consumer behavior","funnel optimization","sophisticated experimentation","AI-native workflows","AI-first creative systems","influencer and creator partnerships","attribution models","marketing tech stack","automation processes"],"datePosted":"2026-03-06T18:36:11.666Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seoul, South Korea; Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"growth optimizations, growth marketing, performance marketing, product growth, AI-powered workflows, in-product optimization, insights, experimentation, creative ops engineering, workflow automation, BI, SQL, experimentation, statistically rigorous testing, conversion optimizations, AI-driven marketing tools, engineering concepts, Korean consumer behavior, funnel optimization, sophisticated experimentation, AI-native workflows, AI-first creative systems, influencer and creator partnerships, attribution models, marketing tech stack, automation processes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_eee1f956-14c"},"title":"Product Growth (PG) Team Member","description":"<p><strong>Location</strong></p>\n<p>Delhi, India; Singapore</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>About the Team</strong></p>\n<p>The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. 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This role sits at the heart of building the next-gen Grounding solution that can change how the world interacts with AI search. You&#39;ll work directly with the Search Technology Center team to design, code, and own software and services to enable high performant, delightful search experiences and applications.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Software Engineer II on this team, you will be responsible for designing, coding, and owning software and services to enable high performant, delightful search experiences and applications. You will be engineering these solutions while enabling solid engineering practices including CI-CD, automation tooling, and telemetry insights across our endpoints. 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You will drive both revenue and client satisfaction across MSA&#39;s performance solutions and as a core member of the account team, this opportunity will allow you to focus on driving data-driven optimizations aligned with client needs, executing campaigns and driving strong coordination or internal resources for excellence in execution of core tasks, account transitions, and client account health.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Conduct in-depth market research across digital advertising sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company&#39;s quarterly strategic planning sessions</li>\n<li>Drive both revenue and client satisfaction across MSA&#39;s performance solutions</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years of experience in sales, advertising, or marketing with a focus on digital advertising</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proficiency in Microsoft Advertising features and incentives, including incubations products</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong communication and interpersonal skills</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Health and wellbeing benefits</li>\n<li>Professional development opportunities</li>\n<li>Financial benefits (bonus, equity, pension, etc.)</li>\n<li>Cultural perks (team events, office amenities, etc.)</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_fd108849-126","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-account-manager-microsoft-advertising-german-speaker-2/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["digital advertising","Microsoft Advertising","sales","marketing"],"x-skills-preferred":["data-driven optimizations","campaign execution","client account management"],"datePosted":"2026-03-06T07:25:05.819Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"digital advertising, Microsoft Advertising, sales, marketing, data-driven optimizations, campaign execution, client account management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_96069389-335"},"title":"Senior Software Engineer (Frontend/Full Stack)","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Senior Software Engineer (Frontend/Full Stack) at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI-powered shopping experiences. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI and shopping markets.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Software Engineer (Frontend/Full Stack), you will be responsible for building and shipping Copilot Shopping experiences end-to-end, with a solid emphasis on frontend quality (UX polish, accessibility, performance, reliability). You will work fluidly across the full architecture: client (web/mobile), services/APIs, data contracts, telemetry/experimentation, and operational tooling. You will partner closely with Product, Design, and Data Science to define success metrics, instrument telemetry, run experiments, and iterate based on outcomes.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Build and ship Copilot Shopping experiences end-to-end, with a solid emphasis on frontend quality (UX polish, accessibility, performance, reliability).</li>\n<li>Work fluidly across the full architecture: client (web/mobile), services/APIs, data contracts, telemetry/experimentation, and operational tooling.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Experience integrating clients with backend systems via client–server contracts (e.g., REST/JSON, GraphQL, SSE/WebSockets).</li>\n<li>Demonstrated ability to debug and troubleshoot client issues and drive performance optimizations for high quality user experiences.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong collaboration skills and data-driven execution: work effectively with engineers, PM, design, and partner teams; instrument telemetry and use data to iterate.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary range: $119,800 - $234,700 per year.</li>\n<li>Comprehensive benefits package, including medical, dental, and vision insurance.</li>\n<li>401(k) matching program.</li>\n<li>Paid time off and holidays.</li>\n<li>Opportunities for professional growth and development.</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_96069389-335","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/senior-software-engineer-frontend-full-stack/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 - $234,700 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","REST/JSON","GraphQL","SSE/WebSockets"],"x-skills-preferred":["experience integrating clients with backend systems via client–server contracts","debugging and troubleshooting client issues","performance optimizations for high quality user experiences"],"datePosted":"2026-03-05T21:09:09.843Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, REST/JSON, GraphQL, SSE/WebSockets, experience integrating clients with backend systems via client–server contracts, debugging and troubleshooting client issues, performance optimizations for high quality user experiences","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a4a28727-7ac"},"title":"Product Manager - Middle East Africa, Kingdom of Saudi Arabia","description":"<p>Opening.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<p>As a Product Manager, you will be responsible for Valvoline Global Operations product portfolio in Middle East Africa, including Saudi Arabia. Your main pillars of responsibility will be Product/Portfolio Costing, Product Profitability Review &amp; Improvement, Supply Chain Optimization, and SMOG Inventory Management.</p>\n<ul>\n<li>Serve as the single point of contact for all business units relative to current costing of all portfolio items, cost changes based on supplier inputs, and cost implications of various supply chain shifts.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>Bachelor&#39;s Degree; Master of Business Administration (preferred)</li>\n</ul>\n<ul>\n<li>5-7 years of experience</li>\n</ul>\n<p><strong>Why this matters</strong></p>\n<p>As a Product Manager, you will play a crucial role in driving increases in profitability across the portfolio. You will be the subject matter expert on portfolio supply chain within Product Strategy &amp; Management.</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_a4a28727-7ac","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Valvoline Global Operations","sameAs":"https://jobs.valvolineglobal.com","logo":"https://logos.yubhub.co/jobs.valvolineglobal.com.png"},"x-apply-url":"https://jobs.valvolineglobal.com/job/Product-Manager-Middle-East-Africa%2C-Kingdom-of-Saudi-Arabia-21577/1356952300/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Strong analytical thinking and business mindset","Ability to pull, assess, and conceptualize key data in a manner that makes it digestible for leadership","An inquisitive thirst to learn more and seek the truth","Team oriented, with strong communication abilities and willingness to share ideas for diverse input and perspective"],"x-skills-preferred":["Passion for continually improving recommendations and optimizations to extract value from products and supply chains"],"datePosted":"2026-01-22T19:07:53.349Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jeddah, Saudi Arabia"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Automotive","skills":"Strong analytical thinking and business mindset, Ability to pull, assess, and conceptualize key data in a manner that makes it digestible for leadership, An inquisitive thirst to learn more and seek the truth, Team oriented, with strong communication abilities and willingness to share ideas for diverse input and perspective, Passion for continually improving recommendations and optimizations to extract value from products and supply chains"}]}