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As a key member of this team, you will design, build, and operate massive-scale clusters and orchestration platforms that power frontier AI training, inference, and agent workloads at unprecedented scale.</p>\n<p>In this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI&#39;s next-generation models and applications.</p>\n<p>Responsibilities include building and managing massive-scale clusters, designing, developing, and extending an in-house container orchestration platform, collaborating with research teams to architect and optimize compute clusters, profiling, debugging, and resolving complex system-level performance bottlenecks, and owning end-to-end infrastructure initiatives.</p>\n<p>To succeed in this role, you will need deep expertise in virtualization technologies and advanced containerization/sandboxing, strong proficiency in systems programming languages such as C/C++ and Rust, and proven track record profiling, debugging, and optimizing complex system-level performance issues.</p>\n<p>Preferred skills and experience include experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads, operating or designing large-scale AI training/inference clusters, and familiarity with performance tools, tracing, and debugging in production distributed environments.</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_24176cb8-311","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/5052040007","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - 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This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence , the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.</p>\n<p>When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.</p>\n<p>The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. The pace is set by the model release cadence, and the team operates as both a platform owner and a hands-on partner during launch periods.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead and grow a team of prompt engineers and platform software engineers</li>\n<li>Own the product-side eval platform: the frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship</li>\n<li>Own system prompt infrastructure: versioning, deployment, rollback, and review tooling for the prompts that run in production across claude.ai, the API, and agentic surfaces</li>\n<li>Be a steady hand through model launches , these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic</li>\n<li>Build durable collaboration with other evals groups across the company; this means real work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure</li>\n<li>Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior</li>\n<li>Shape where the team invests next: there are credible paths into frontier eval development, model launch automation, and deeper prompt engineering support, and part of the job is sequencing them</li>\n<li>Push the team toward measuring things that are hard to measure , behavioral drift, prompt quality, harness parity , not just things that are easy</li>\n</ul>\n<p><strong>You May Be a Good Fit If You Have</strong></p>\n<ul>\n<li>8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where your customers were other engineers</li>\n<li>A track record of building “pits of success” , tooling and process that made it easy for other teams to do the right thing without needing to understand all the details</li>\n<li>Comfort managing a team with a mixed charter: platform ownership, service-to-other-teams, and a launch-driven operational rhythm, all at once</li>\n<li>Enough technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs , you don’t need to be writing code by hand every day, but you should be able to read it, review it, and be comfortable leveraging Claude to understand, design, and occasionally build.</li>\n<li>A product mindset and willingness to wear multiple hats when the work calls for it</li>\n<li>Demonstrated ability to build and maintain peer relationships with partner orgs that have different cultures and incentives , negotiating ownership, aligning roadmaps, and holding ground when it matters without being territorial about it</li>\n<li>Experience recruiting and closing senior ICs in a competitive market</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Prior exposure to LLM evals, ML experimentation platforms, or model quality work , even tangentially</li>\n<li>Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems</li>\n<li>Background in devtools, CI/CD platforms, or testing infrastructure at scale</li>\n<li>A history of managing teams that sit between two larger orgs and making that position an asset rather than a liability</li>\n<li>Interest in AI safety and alignment , not required, but it makes the “why” of the work land harder</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\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<li>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.</li>\n</ul>\n<p><strong>How we’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 an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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Our AI Platform teams build the core frameworks and systems that support AI features across Figma, from infrastructure for training cutting-edge models to platforms for writing agentic product functionality.</p>\n<p>We&#39;re hiring across several different teams:</p>\n<ul>\n<li>Modeling Platform: Develops infrastructure for training, evaluating, deploying, and serving the AI models used across Figma.</li>\n<li>Agent Platform: Builds the frameworks and systems powering agentic AI features throughout Figma&#39;s products.</li>\n<li>Search &amp; Recommendations: Builds our platform for context-gathering for agents, surfacing content across the Figma ecosystem (text, design systems, and more).</li>\n<li>Extensibility: Responsible for our plugin, widget, and REST APIs that enable developers to build their own Figma integrations.</li>\n</ul>\n<p>As a member of our AI Platforms teams, you&#39;ll play a critical role in developing cutting-edge AI models and new product functionality, while also upleveling the technical quality, performance, and reliability of our AI features.</p>\n<p>You&#39;ll work alongside developers across the company, and combine industry best practices with a first-principle approach to design and build the platforms that power Figma&#39;s design and collaboration products.</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_8068c628-107","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/5691886004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$153,000-$376,000 USD","x-skills-required":["TypeScript","Python","Ruby","AI","search infrastructure","developer platforms"],"x-skills-preferred":["Prior experience in building AI infrastructure at scale","Experience evolving large-scale, shared developer platforms","A proven track record of leading technical strategy and complex, multi-team projects"],"datePosted":"2026-04-18T15:51:25.988Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA • New York, NY • United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TypeScript, Python, Ruby, AI, search infrastructure, developer platforms, Prior experience in building AI infrastructure at scale, Experience evolving large-scale, shared developer platforms, A proven track record of leading technical strategy and complex, multi-team projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":153000,"maxValue":376000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5a5a8459-f04"},"title":"Engineering Manager of Managers, Data Platform","description":"<p>Job Description:</p>\n<p><strong>Who we are</strong></p>\n<p>Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.</p>\n<p><strong>About the team</strong></p>\n<p>The Big Data Infrastructure organization is a globally distributed team of approximately 40 engineers spread across Dublin, Bangalore, Seattle, and San Francisco. This team is the backbone of the company’s data ecosystem, responsible for building, scaling, and maintaining the highly reliable platforms that power data storage, orchestration, and processing at scale.</p>\n<p>As the Head of Big Data Infra, you will lead a global, ~40-person engineering organization responsible for the foundational data platforms that drive the business. Reporting directly to the Head of Compute, you will define the strategic vision and roadmap for the company&#39;s data lake, orchestration pipelines, and batch computing environments.</p>\n<p>The team&#39;s technical portfolio spans four core domains:</p>\n<ul>\n<li>Datalake (Storage): Managing scalable cloud storage and metadata layers, leveraging Amazon S3, Apache Iceberg (metastore and integrations), SAL, and Hive Metastore (HMS).</li>\n</ul>\n<ul>\n<li>Data Orchestration: Ensuring robust pipeline execution and scheduling using Apache Airflow.</li>\n</ul>\n<ul>\n<li>Batch Compute Infra (Data Store): Maintaining foundational data infrastructure and legacy systems, including Hadoop.</li>\n</ul>\n<ul>\n<li>Batch Compute Experience (Data Processing): Optimizing and delivering powerful data processing environments utilizing Apache Spark and Apache Celeborn.</li>\n</ul>\n<p><strong>What you’ll do</strong></p>\n<p>You will move beyond day-to-day management to act as an industry leader, effectively advocating for your organization&#39;s mission and impact. You will be expected to see problems others don&#39;t and rally people to independently create solutions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Set Strategic Vision: Define the scope, vision, and goals for your organization with little or no guidance. You will anticipate industry trends to influence Stripe&#39;s long-range plans and set direction on a multi-year timeframe.</li>\n</ul>\n<ul>\n<li>Lead at Scale: Manage the achievement of and accountability for broad swaths of programs. You will establish wide-ranging and scaled processes, anticipating and removing roadblocks across multiple teams.</li>\n</ul>\n<ul>\n<li>Drive Operational Excellence: Instill a culture of rigorous thinking and meticulous craftsmanship. You will ensure your organization drives constant improvement in team processes and maintains high standards of operational rigor.</li>\n</ul>\n<ul>\n<li>Indirect Influence: Use indirect influence to steer other teams toward making the right decisions for Stripe. You will effectively communicate your team&#39;s plan and how it links to Stripe&#39;s company vision to cross-functional stakeholders.</li>\n</ul>\n<ul>\n<li>Obsess Over Talent: Proactively invest in the development of the organization and its people at all levels. You will recruit world-class talent and coach your direct reports,who are themselves managers - to elevate the skills of the leadership team.</li>\n</ul>\n<ul>\n<li>Stewardship &amp; Culture: Act as an ambassador and advocate for Stripe, modeling ownership for all other Stripes. You will actively work to increase Stripe&#39;s inclusivity and diversity and use our operating principles to guide decision-making.</li>\n</ul>\n<p><strong>Who you are</strong></p>\n<p>We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.</p>\n<p><strong>Minimum requirements</strong></p>\n<ul>\n<li>Bachelor’s degree or equivalent practical experience with minimum 5 years of experience with software development.</li>\n</ul>\n<ul>\n<li>Minimum 5 years of experience in a technical leadership role; overseeing strategic projects.</li>\n</ul>\n<ul>\n<li>Minimum 3 years of Manager of Managers experience (managing other engineering managers).</li>\n</ul>\n<ul>\n<li>Experience building diverse teams to tackle challenging technical problems.</li>\n</ul>\n<ul>\n<li>Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts.</li>\n</ul>\n<p><strong>Preferred qualifications</strong></p>\n<ul>\n<li>Strategic Ambiguity: Proven ability to translate chaos into clarity and navigate complex, high-impact work where you must define your own scope.</li>\n</ul>\n<ul>\n<li>Infrastructure at Scale: Successfully shipped and operated critical infrastructure with significant responsibility over funds or critical data.</li>\n</ul>\n<ul>\n<li>Cross-Functional Influence: A track record of getting other teams on board with your vision to support execution in a way that benefits the broader company.</li>\n</ul>\n<ul>\n<li>Curiosity: You enjoy learning and diving into the nuts-and-bolts of how things work (e.g., global money movement rails, currency conversion, or inter-company flows).</li>\n</ul>\n<ul>\n<li>Humility and Adaptability: You are humble and self-aware, with a history of adapting your management approach across different environments and seeking feedback to grow as a leader.</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_5a5a8459-f04","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/7747391","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Strategic vision","Technical leadership","Project management","Team management","Communication","Problem-solving","Infrastructure at scale","Cross-functional influence","Curiosity","Humility and adaptability"],"x-skills-preferred":["Apache Iceberg","Apache Airflow","Apache Spark","Apache Celeborn","Amazon S3","Hive Metastore","SAL","Cloud storage","Metadata layers","Data orchestration","Batch computing infrastructure","Legacy systems","Hadoop","Global money movement rails","Currency conversion","Inter-company flows"],"datePosted":"2026-04-18T15:47:47.234Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Strategic vision, Technical leadership, Project management, Team management, Communication, Problem-solving, Infrastructure at scale, Cross-functional influence, Curiosity, Humility and adaptability, Apache Iceberg, Apache Airflow, Apache Spark, Apache Celeborn, Amazon S3, Hive Metastore, SAL, Cloud storage, Metadata layers, Data orchestration, Batch computing infrastructure, Legacy systems, Hadoop, Global money movement rails, Currency conversion, Inter-company flows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6186a306-374"},"title":"Head of Engineering (AI)","description":"<p><strong>Head of Engineering (AI)</strong></p>\n<p>At Fuse Energy, we&#39;re on a mission to deliver a terawatt of renewable energy - fast. 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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>Anthropic&#39;s Infrastructure organisation is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.</p>\n<p>Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.</p>\n<p>_Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams._</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans</li>\n<li>Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others</li>\n<li>Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams</li>\n<li>Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds</li>\n<li>Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure</li>\n<li>Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead</li>\n<li>Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment</li>\n<li>Have strong proficiency in Python, Rust and/or Go</li>\n<li>Are obsessed with developer productivity and reducing friction in the software development lifecycle</li>\n<li>Have experience with container orchestration and infrastructure at scale</li>\n<li>Have excellent communication skills and enjoy supporting internal partners to improve their development experience</li>\n<li>Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges</li>\n</ul>\n<p><strong>Strong candidates may have:</strong></p>\n<ul>\n<li>Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale</li>\n<li>Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)</li>\n<li>Experience with Nix/NixOS/Docker and managing large image / package sets at scale</li>\n<li>Experience building CLI tools, developer-facing services, and GitHub API and automation workflows</li>\n</ul>\n<p>_Deadline to apply: None. Applications will be reviewed on a rolling basis._</p>\n<p>The annual compensation range for this role is listed below.</p>\n<p>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.</p>\n<p>Annual Salary:</p>\n<p>$405,000 - $485,000USD</p>\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.</p>\n<p><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 work in AI safety and development happens at the intersection of technical expertise and societal responsibility. We&#39;re committed to building a team that reflects a wide range of backgrounds, perspectives, and experiences. We believe that diversity in all its forms drives better decision-making, more innovative solutions, and greater impact.</p>\n<p>We&#39;re an equal opportunities employer and welcome applications from all qualified candidates.</p>\n<p>If you&#39;re excited about this role and want to learn more, please don&#39;t hesitate to reach out to us. We look forward to hearing from 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_11a9548c-a4f","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/5110511008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$405,000 - $485,000USD","x-skills-required":["Python","Rust","Go","Build systems","CI/CD pipelines","Developer tooling","Container orchestration","Infrastructure at scale"],"x-skills-preferred":["CI orchestration tools","Merge queue management","Remote build execution systems","Nix/NixOS/Docker","Large image/package sets","CLI tools","Developer-facing services","GitHub API and automation workflows"],"datePosted":"2026-03-08T13:53:03.879Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Rust, Go, Build systems, CI/CD pipelines, Developer tooling, Container orchestration, Infrastructure at scale, CI orchestration tools, Merge queue management, Remote build execution systems, Nix/NixOS/Docker, Large image/package sets, CLI tools, Developer-facing services, GitHub API and automation workflows","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_ca72a214-0af"},"title":"Backend Software Engineer - Mobile","description":"<p>Perplexity is looking for an experienced Backend Engineer to join their small team. 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