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You&#39;ll wear many hats, from optimising rollout and reward pipelines to enhancing reliability, observability, and orchestration, collaborating closely with researchers and infra teams to make reinforcement learning stable, fast, and production-ready.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and optimise the infrastructure that powers large-scale reinforcement learning and post-training workloads.</li>\n</ul>\n<ul>\n<li>Improve the reliability and scalability of RL training pipeline, distributed RL workloads, and training throughput.</li>\n</ul>\n<ul>\n<li>Develop shared monitoring and observability tools to ensure high uptime, debuggability, and reproducibility for RL systems.</li>\n</ul>\n<ul>\n<li>Collaborate with researchers to translate algorithmic ideas into production-grade training pipelines.</li>\n</ul>\n<ul>\n<li>Build evaluation and benchmarking infrastructure that measures model progress on helpfulness, safety, and factuality.</li>\n</ul>\n<ul>\n<li>Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.</li>\n</ul>\n<p>We&#39;re looking for someone with strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases. 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As a Machine Learning Engineer, you&#39;ll be part of the AI Agent team, working on cutting-edge projects that leverage the latest technologies in Large Language Models (LLMs) and AI Agent systems. 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Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.</p>\n<p>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.</p>\n<p>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>As part of the Cluster Orchestration team, you will play a key role in advancing CoreWeave&#39;s orchestration platform including SUNK (Slurm on Kubernetes) and beyond, our Kubernetes-native foundation that powers AI training and inference at scale.</p>\n<p>This is an opportunity to help shape one of the most critical layers of the AI cloud: ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters.</p>\n<p>By building the systems that eliminate infrastructure bottlenecks and create new orchestration capabilities, you will directly empower customers to innovate faster and push the boundaries of what&#39;s possible with AI.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>As a Staff Engineer, you will be a technical leader shaping the long-term strategy for CoreWeave&#39;s orchestration platform.</p>\n<p>You&#39;ll define architectural direction, own critical parts of the orchestration platform and other managed services, and drive cross-org initiatives in scheduling, quota enforcement, and scaling at hyperscale.</p>\n<p>You&#39;ll mentor senior engineers, establish org-wide best practices in reliability and observability, and ensure CoreWeave&#39;s orchestration layer evolves to meet the demands of next-generation AI workloads.</p>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>8+ years of software engineering experience.</li>\n</ul>\n<ul>\n<li>Proven track record designing and operating large-scale distributed systems in production.</li>\n</ul>\n<ul>\n<li>Deep expertise in Slurm/Kubernetes internals and cloud-native development.</li>\n</ul>\n<ul>\n<li>Advanced proficiency in Go and distributed systems design and cloud-native development.</li>\n</ul>\n<ul>\n<li>Experience setting technical direction and influencing cross-team architecture.</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in CS, EE, or related field.</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Familiarity with orchestration and workflow technologies such as Ray, Kubeflow, Kueue, Istio, Knative, or Argo Workflows</li>\n</ul>\n<ul>\n<li>Deep expertise in Slurm/Kubernetes internals.</li>\n</ul>\n<ul>\n<li>Experience with distributed workloads, GPU-based applications, or ML pipelines.</li>\n</ul>\n<ul>\n<li>Knowledge of scheduling concepts like quota enforcement, pre-emption, and scaling strategies.</li>\n</ul>\n<ul>\n<li>Exposure to reliability practices including SLOs, alarms, and post-incident reviews.</li>\n</ul>\n<ul>\n<li>Experience with AI infrastructure and workloads (ML training, inference, or HPC).</li>\n</ul>\n<ul>\n<li>Ability to mentor senior engineers and elevate organizational standards.</li>\n</ul>\n<p><strong>Why CoreWeave?</strong></p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on.</p>\n<p>We&#39;re not afraid of a little chaos, and we&#39;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</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.</p>\n<p>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.</p>\n<p>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><strong>Salary and Benefits</strong></p>\n<p>The base salary range for this role is $185,000 to $275,000.</p>\n<p>The starting salary will be determined based on job-related knowledge, skills, experience, and market location.</p>\n<p>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><strong>What We Offer</strong></p>\n<p>The range we&#39;ve posted represents the typical compensation range for this role.</p>\n<p>To determine actual compensation, we review the market rate for each candidate which can include a variety of factors.</p>\n<p>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 - 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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.</p>\n<p>This is an opportunity to do career-defining work. We&#39;re all in on this mission. If you are too, let&#39;s talk.</p>\n<p><strong>AI Infrastructure Architect</strong></p>\n<p>About the Role</p>\n<p>We are looking for a smart and versatile AI Infrastructure Architect to build and evolve the AI infrastructure and platform that powers our identity security solutions. Your work will enable internal teams and product groups to integrate AI capabilities safely, securely, and at scale,empowering Okta’s mission to protect millions of digital identities worldwide. While your primary focus will be to architect scalable, secure, and resilient infrastructure supporting AI-driven tools, frameworks, and identity services, we value someone who isn’t afraid to get hands-on when needed to help solve complex challenges and drive projects forward.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Lead AI enablement initiatives, including proof-of-concepts for emerging AI infrastructure technologies and integration approaches.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with engineering, security, data science, and product teams to align AI platform architecture with business and security goals.</li>\n</ul>\n<ul>\n<li>Architect scalable, resilient, and secure AI infrastructure that supports AI-powered tools and features across Okta’s Identity Platform.</li>\n</ul>\n<ul>\n<li>Lead infrastructure decisions across AWS, GCP, or hybrid environments with a focus on secure identity data handling</li>\n</ul>\n<ul>\n<li>Develop and maintain infrastructure-as-code frameworks (e.g., Terraform, Helm) to ensure consistent, reproducible deployment of AI services</li>\n</ul>\n<ul>\n<li>Champion security and compliance by embedding data privacy and identity protection standards directly into the AI platform and infrastructure design.</li>\n</ul>\n<ul>\n<li>Serve as the key advocate and strategist for AI-driven efficiency initiatives across infrastructure platform teams and pre-production systems.</li>\n</ul>\n<ul>\n<li>Implement robust MLOps practices, such as model evaluation, rollback strategies, and A/B testing, to guarantee the reliability and governance of AI in production.</li>\n</ul>\n<ul>\n<li>Drive continuous innovation by staying current with AI and cloud infrastructure trends and evangelizing best practices internally.</li>\n</ul>\n<p><strong>Desired Qualifications</strong></p>\n<ul>\n<li>10+ years in infrastructure or software engineering, with ≥ 2 years building AI/ML systems</li>\n</ul>\n<ul>\n<li>Exceptional systems level thinking and a track record in architecting and building enterprise grade infrastructure</li>\n</ul>\n<ul>\n<li>Deep expertise in cloud platforms (AWS, GCP), distributed systems, and container orchestration (Kubernetes)</li>\n</ul>\n<ul>\n<li>Expected to be very hands-on in order to create, review, and contribute large chunks of quality code</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Experience in identity, security, fraud, or risk analytics domains.</li>\n</ul>\n<ul>\n<li>Experience operationalizing large language models or foundation models in production environments.</li>\n</ul>\n<ul>\n<li>Contributions to MLOps or infrastructure open-source projects.</li>\n</ul>\n<p><strong>What You’ll Gain</strong></p>\n<ul>\n<li>Opportunity to lead infrastructure shaping AI systems that protect millions of identity transactions.</li>\n</ul>\n<ul>\n<li>Be at the core of building efficient and AI powered enterprise grade solutions that touch internal and external customers alike.</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_42af3f66-4fc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7122284","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$235,000-$353,000 USD","x-skills-required":["cloud platforms","distributed systems","container orchestration","infrastructure-as-code","MLOps","AI infrastructure","security and compliance","data privacy and identity protection"],"x-skills-preferred":["identity and security","fraud and risk analytics","large language models and foundation models","open-source projects"],"datePosted":"2026-04-18T15:53:19.138Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud platforms, distributed systems, container orchestration, infrastructure-as-code, MLOps, AI infrastructure, security and compliance, data privacy and identity protection, identity and security, fraud and risk analytics, large language models and foundation models, open-source projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":235000,"maxValue":353000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d70a8194-b84"},"title":"Software Engineer, Machine Learning","description":"<p>We are seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma.</p>\n<p>As a Machine Learning / AI Engineer, you will design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features. You will also build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.</p>\n<p>You will collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. 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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_d70a8194-b84","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/5551532004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$153,000-$376,000 USD","x-skills-required":["Machine Learning","AI","Python","PyTorch","TensorFlow","Scikit-learn","Spark MLlib","XGBoost","Data Pipelines","Annotation Systems","Human-in-the-loop Workflows"],"x-skills-preferred":["Search Relevance","Ranking","NLP","RAG Systems","AI Infrastructure","MLOps","Observability","CI/CD","Automation","Creative or Design-Focused ML 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specialists.</li>\n</ul>\n<ul>\n<li>Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.</li>\n</ul>\n<ul>\n<li>Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.</li>\n</ul>\n<ul>\n<li>Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.</li>\n</ul>\n<ul>\n<li>Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.</li>\n</ul>\n<p><strong>What success looks like in this role</strong></p>\n<p>This role requires the ability to operate across two key motions simultaneously:</p>\n<ul>\n<li>Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.</li>\n</ul>\n<ul>\n<li>Drive longer-term Postgres standardization and migration within Databricks&#39; most strategic accounts.</li>\n</ul>\n<p>Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.</p>\n<p>Success in this role requires strength in four areas:</p>\n<ul>\n<li>Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.</li>\n</ul>\n<ul>\n<li>Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.</li>\n</ul>\n<ul>\n<li>Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.</li>\n</ul>\n<p>Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.</p>\n<p><strong>What we look for</strong></p>\n<ul>\n<li>7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.</li>\n</ul>\n<ul>\n<li>Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.</li>\n</ul>\n<ul>\n<li>Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.</li>\n</ul>\n<ul>\n<li>Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).</li>\n</ul>\n<ul>\n<li>Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.</li>\n</ul>\n<ul>\n<li>Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.</li>\n</ul>\n<ul>\n<li>Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.</li>\n</ul>\n<ul>\n<li>Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.</li>\n</ul>\n<ul>\n<li>Bachelor’s degree or equivalent practical experience.</li>\n</ul>\n<p><strong>Preferred qualifications</strong></p>\n<ul>\n<li>Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic 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For specific details on the benefits offered in your region, please click here.</p>\n<p><strong>Our Commitment to Diversity and Inclusion</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d6421dea-6e3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8477547002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data platforms","operational databases","Postgres","MySQL","cloud-native DBaaS","data/AI infrastructure","technical buyers","business leaders","modern data and application architectures","cloud-native services","microservices","event-driven systems","AI and analytics strategies","technical stakeholders","business stakeholders","value selling skills","discovering pain","building a business case","quantified outcomes","communication","storytelling","negotiation skills"],"x-skills-preferred":["OLTP workloads","transactional cloud database services","lakehouse architectures","cloud ecosystems","reverse ETL","real-time decisioning","operational analytics use cases","AI-native applications","agent-driven applications","high-growth environments","category-creating environments","partner collaborations","ISV collaborations"],"datePosted":"2026-04-18T15:52:47.849Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India; Mumbai, India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data platforms, operational databases, Postgres, MySQL, cloud-native DBaaS, data/AI infrastructure, technical buyers, business leaders, modern data and application architectures, cloud-native services, microservices, event-driven systems, AI and analytics strategies, technical stakeholders, business stakeholders, value selling skills, discovering pain, building a business case, quantified outcomes, communication, storytelling, negotiation skills, OLTP workloads, transactional cloud database services, lakehouse architectures, cloud ecosystems, reverse ETL, real-time decisioning, operational analytics use cases, AI-native applications, agent-driven applications, high-growth environments, category-creating environments, partner collaborations, ISV collaborations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8068c628-107"},"title":"Software Engineer, AI Platforms","description":"<p>We&#39;re growing our team of passionate creatives and builders on a mission to make design accessible to all. 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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<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>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. 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<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 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_372999e8-579","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/4647595006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000 to $242,000","x-skills-required":["Kubernetes","Go","Distributed systems","Cloud infrastructure","Platform engineering","Scheduling","Resource management","Quota-based systems"],"x-skills-preferred":["Kueue","Volcano","Ray","Kubeflow","Argo Workflows","GPU-based workloads","ML training","Inference pipelines","SLOs","Alerting","Incident response","AI infrastructure","HPC","Large-scale distributed compute environments"],"datePosted":"2026-04-18T15:50:19.636Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Go, Distributed systems, Cloud infrastructure, Platform engineering, Scheduling, Resource management, Quota-based systems, Kueue, Volcano, Ray, Kubeflow, Argo Workflows, GPU-based workloads, ML training, Inference pipelines, SLOs, Alerting, Incident response, AI infrastructure, HPC, Large-scale distributed compute environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_106dcdc1-e14"},"title":"Command Center Systems Engineer","description":"<p>The Command Center Systems Engineer will be responsible for building and maintaining the operational backbone of the company&#39;s command center, ensuring the uptime and operational excellence of the world&#39;s largest GPU clusters. This includes strengthening, maintaining, and governing all SOPs, MOPs, and EOPs across the Command Center, enhancing and owning the escalation framework, leading change management governance, developing and managing shift structure, handover protocols, and staffing frameworks, owning the incident management lifecycle, defining and tracking operational KPIs, building and overseeing onboarding and ongoing training programs for Command Center Technicians, partnering with engineering, facilities, and site operations teams, and leading vendor governance.</p>\n<p>The ideal candidate will have 5+ years of experience in data center operations, operations management, or mission-critical infrastructure in a 24/7 environment, a proven track record of building and scaling operational frameworks, strong project and program management skills, excellent written and verbal communication, experience facilitating root cause analysis and driving corrective action to closure, and comfort working with operational metrics and reporting.</p>\n<p>In addition to a competitive salary, the company offers a variety of benefits, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, employee stock purchase program, mental wellness benefits, family-forming support, paid parental leave, flexible PTO, catered lunch, and a casual work environment.</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_106dcdc1-e14","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/4674028006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$109,000 to $145,000","x-skills-required":["data center operations","operations management","mission-critical infrastructure","project management","incident management","change management","training program development","vendor governance"],"x-skills-preferred":["Lean","Six Sigma","hyperscale","cloud","AI infrastructure"],"datePosted":"2026-04-18T15:49:25.260Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kenilworth, NJ"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data center operations, operations management, mission-critical infrastructure, project management, incident management, change management, training program development, vendor governance, Lean, Six Sigma, hyperscale, cloud, AI infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":109000,"maxValue":145000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2c0fc802-cf3"},"title":"Staff Product Manager, AI Platform","description":"<p>At Databricks, we are building the world&#39;s best data and AI infrastructure platform. 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The successful candidate will design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization. They will also enable advanced analytics, support AI agent development, and cross-functional synthesis.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Architect scalable pipelines to unify disparate metrics into a single, accurate source of truth</li>\n<li>Enable advanced analytics through real-time and near-real-time dashboards for operational capacity and demand managers</li>\n<li>Support AI agent development by ensuring data pipelines are architected to synthesize complex data and inform high-stakes infrastructure decisions</li>\n<li>Cross-functional synthesis with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health</li>\n</ul>\n<p>The ideal candidate will have a Master&#39;s or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field, with 6+ years of professional experience in data engineering or data science. They will have expert-level proficiency in Python and SQL, and experience with modern data stack tools and software development best practices.</p>\n<p>In addition to a competitive salary, CoreWeave offers a variety of benefits, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, employee stock purchase program, mental wellness benefits, family-forming support, paid parental leave, flexible PTO, catered lunch, and a casual work environment.</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_fdfe04d9-2a3","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/4663051006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$143,000 to $210,000","x-skills-required":["Python","SQL","Modern data stack tools","Software development best practices","Data engineering","Data science"],"x-skills-preferred":["Domain knowledge of AI infrastructure","Background in high-complexity environments","Decision science"],"datePosted":"2026-04-18T15:46:49.592Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data stack tools, Software development best practices, Data engineering, Data science, Domain knowledge of AI infrastructure, Background in high-complexity environments, Decision science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":143000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_77ff2013-8f9"},"title":"Senior Product Manager, Context Engineering","description":"<p>ZoomInfo is where careers accelerate. 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Monitor retrieval precision, context relevance, hallucination rates, and system performance in production.</p>\n<p>Translate quality signals into architectural improvements, working closely with ML engineers to iterate on embedding models, reranking strategies, and retrieval algorithms.</p>\n<p>Navigate Emerging Research</p>\n<p>Context engineering evolves weekly. You&#39;ll continuously evaluate innovations,GraphRAG for multi-hop reasoning, test-time compute scaling, multimodal retrieval, compression techniques,determining which advances warrant production investment versus which remain academic curiosities.</p>\n<p>Bring external best practices to ZoomInfo while contributing learnings back to the broader community.</p>\n<p>Orchestrate Cross-Functional Execution</p>\n<p>Translate between three distinct worlds: ML engineers optimizing retrieval algorithms, platform engineers building scalable infrastructure, and product teams shipping customer features.</p>\n<p>Establish communication cadences, prioritization frameworks, and decision-making processes that balance urgent requests against strategic platform development.</p>\n<p><strong>What You’ll Bring:</strong></p>\n<ul>\n<li>4-6 years of product management experience with 2+ years in ML/AI infrastructure</li>\n</ul>\n<ul>\n<li>Direct experience with production RAG systems, vector databases, or semantic search, context management</li>\n</ul>\n<ul>\n<li>Experience with graph databases (e.g. Neo4j)</li>\n</ul>\n<ul>\n<li>Track record building platform products serving multiple internal or external customers</li>\n</ul>\n<ul>\n<li>Familiarity with context compression, embedding models, and retrieval evaluation frameworks</li>\n</ul>\n<ul>\n<li>History of defining product vision in nascent technical domains where best practices are still emerging</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<p>Technical Foundation</p>\n<p>Expert-level understanding of RAG system architecture,you can discuss embedding dimensionality trade-offs, vector database indexing strategies, and reranking approaches with depth.</p>\n<p>You&#39;ve built or significantly contributed to production retrieval systems, not just managed them at arm&#39;s length.</p>\n<p>Python and SQL proficiency enables you to review code, analyze retrieval issues, and prototype solutions for concept validation.</p>\n<p>Platform Product Mindset</p>\n<p>Experience building infrastructure products where internal engineering teams are your customers.</p>\n<p>You measure success through downstream product velocity improvements and developer satisfaction scores, not just uptime metrics.</p>\n<p>You understand platform economics,how each additional team using your infrastructure increases its value through shared learnings and amortized costs.</p>\n<p>Intellectual Velocity</p>\n<p>You read recent research papers from arXiv, ACL, NeurIPS.</p>\n<p>You prototype emerging techniques to understand their practical constraints.</p>\n<p>You maintain strong opinions weakly held, updating your architectural assumptions as evidence accumulates.</p>\n<p>The discipline moves too fast for static expertise,continuous learning is non-negotiable.</p>\n<p>Strategic Communication</p>\n<p>You translate between technical depth and business impact fluently.</p>\n<p>You can explain to executives why implementing GraphRAG takes 6 months but unlocks $10M in product capabilities.</p>\n<p>You can communicate to engineers why business constraints require shipping &#39;good enough&#39; in 3 weeks rather than &#39;optimal&#39; in 3 months.</p>\n<p>You influence without formal authority through data, clear reasoning, and earned credibility.</p>\n<p><strong>The Environment:</strong></p>\n<p>Reporting &amp; Collaboration</p>\n<p>Report to the Senior Product Director for Context Engineering, Semantic Data Layer, and Agentic Memory within ZoomInfo&#39;s Intelligence team.</p>\n<p>Work alongside PMs responsible for signals and ML scoring/recommendation models.</p>\n<p>Together, you ensure our agentic workflows fill context windows with high-quality, information-dense content exactly when needed.</p>\n<p>Pace &amp; Problems</p>\n<p>Fast-moving engineering team that understands the space.</p>\n<p>Company-wide AI adoption push creates both urgency and opportunity.</p>\n<p>Expect interesting problems: How do we maintain sub-200ms retrieval latency at scale?</p>\n<p>When does GraphRAG justify its indexing cost?</p>\n<p>How do we balance context freshness with cache efficiency?</p>\n<p>You&#39;ll shape answers that become architectural patterns across the organization.</p>\n<p>Impact</p>\n<p>Define a nascent discipline at a company that&#39;s already AI-first in product thinking and organizational structure.</p>\n<p>Your architectural decisions compound,every improvement to context quality multiplies across Copilot, GTM Studio, MarketingOS, and future products we haven&#39;t imagined yet.</p>\n<p>This is infrastructure work with direct line-of-sight to customer value.</p>\n<p>#LI-PS1 #LI-remote</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_77ff2013-8f9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"ZoomInfo","sameAs":"https://www.zoominfo.com/","logo":"https://logos.yubhub.co/zoominfo.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/zoominfo/jobs/8206116002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$89,200-$133,800 USD","x-skills-required":["Product Management","ML/AI Infrastructure","RAG Systems","Vector Databases","Semantic Search","Context Management","Graph Databases","Context Compression","Embedding Models","Retrieval Evaluation Frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:44:52.232Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Waltham, Massachusetts, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, ML/AI Infrastructure, RAG Systems, Vector Databases, Semantic Search, Context Management, Graph Databases, Context Compression, Embedding Models, Retrieval Evaluation Frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":89200,"maxValue":133800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d1728879-43b"},"title":"Staff Product Manager, AI Platform","description":"<p>At Databricks, we are building the world&#39;s best data and AI infrastructure platform. The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle , from feature engineering and model training to model serving and monitoring , enabling data and AI teams to build, deploy, and operate production ML systems with confidence.</p>\n<p>You will join a team that ships products used by thousands of the world&#39;s most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Own the product roadmap for AI platform areas , defining what we build, why, and in what order , to accelerate customer adoption of AI and ML in production.</li>\n<li>Drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.</li>\n<li>Partner closely with engineering teams to make deeply technical decisions about ML infrastructure , from distributed training architectures to real-time serving systems.</li>\n<li>Represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.</li>\n<li>Collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.</li>\n<li>Define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.</li>\n<li>Grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.</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_d1728879-43b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8427940002","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$172,600-$237,325 USD","x-skills-required":["Product Management","AI Platform","Machine Learning","Data Science","Cloud Services","ML/AI Infrastructure","Distributed Training Architectures","Real-Time Serving Systems"],"x-skills-preferred":["Recommendation Systems","Feature Stores","Vector Search","LLM Infrastructure"],"datePosted":"2026-04-18T15:43:47.938Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, AI Platform, Machine Learning, Data Science, Cloud Services, ML/AI Infrastructure, Distributed Training Architectures, Real-Time Serving Systems, Recommendation Systems, Feature Stores, Vector Search, LLM Infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":172600,"maxValue":237325,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_42187d42-78e"},"title":"Staff Engineer (Backend, DevOps, Infrastructure)","description":"<p>About Zuma</p>\n<p>Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property managers alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.</p>\n<p>Off the back of our Series-A in early 2024, Zuma is scaling rapidly. Achieving our vision requires a team of passionate, innovative individuals eager to leverage technology to redefine customer-business interactions. We&#39;re on the hunt for exceptional talent ready to join our mission and contribute to building a groundbreaking technology that reshapes how businesses engage with customers.</p>\n<p>As a Staff Engineer, you will:</p>\n<p>Help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management. You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents. This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences.</p>\n<p>Your work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service. We’re not just building software we’re designing AI that people want to work with. Delightful, trustworthy, and deeply effective.</p>\n<p>Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.</p>\n<p>You will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you&#39;ll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.</p>\n<p>You&#39;ll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding.</p>\n<p>As our first US-based engineer, you&#39;ll bridge the gap between our product vision and technical implementation. This role offers a rare opportunity to directly influence how we architect the next generation of our platform.</p>\n<p>You&#39;ll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems.</p>\n<p>Your work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.</p>\n<p>We&#39;re looking for a Staff Engineer to help us bring that future to life. This is not just another dev role. You&#39;ll be hands-on shaping the technical DNA of Zuma. You&#39;ll architect critical systems, tame legacy code, build net-new AI-powered experiences, and lay down the patterns future engineers will inherit.</p>\n<p>If you&#39;re obsessed with building real products people use, especially products powered by LLMs, this might be your playground.</p>\n<p><strong>Why This Could Be Your Dream Role</strong></p>\n<ul>\n<li>You&#39;ll work directly with cutting-edge LLM technology in a real-world application</li>\n<li>You want to work at a company where customers feel your impact every day</li>\n<li>You&#39;ll architect AI-powered systems that are transforming the real estate industry</li>\n<li>You&#39;ll have autonomy to design and implement innovative technical solutions</li>\n<li>Your work will directly impact thousands of apartment communities and millions of renters</li>\n<li>You&#39;ll receive significant equity in a venture-backed company with strong traction</li>\n<li>As we scale, your role and influence will grow with the company</li>\n</ul>\n<p><strong>Why You Might Want to Think Twice</strong></p>\n<ul>\n<li>This is a demanding role that will often require extended hours and deep commitment</li>\n<li>As a founding team member, you&#39;ll need to wear multiple hats and step outside your comfort zone</li>\n<li>You&#39;ll need to make thoughtful tradeoffs between innovation and immediate needs</li>\n<li>You&#39;ll interact directly with customers to understand their needs and occasionally travel to their offices</li>\n<li>We&#39;re a startup - priorities can shift rapidly as we respond to market opportunities and customer needs</li>\n<li>If you&#39;re not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn&#39;t the job for you</li>\n</ul>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead critical system rewrites to transform our architecture into a highly scalable, resilient foundation</li>\n<li>Own the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands</li>\n<li>Build and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products</li>\n<li>Set up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability</li>\n<li>Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform</li>\n<li>Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions</li>\n<li>Mentor engineers and elevate the team&#39;s capabilities across infrastructure, scalability, and AI product development</li>\n</ul>\n<p><strong>Your Experience Looks Like</strong></p>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field</li>\n<li>5+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability</li>\n<li>Proven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services</li>\n<li>Experience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)</li>\n<li>Hands-on experience with database design, performance tuning, and scaling high-throughput data systems</li>\n<li>Familiarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices</li>\n<li>Strong communication skills and ability to work effectively in a distributed, fast-paced environment</li>\n<li>Comfortable operating in early-stage, high-ownership environments with evolving requirements</li>\n<li>Bonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure</li>\n<li>Bonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows</li>\n</ul>\n<p><strong>Guiding Principles</strong></p>\n<ul>\n<li>Customer‑First Outcomes</li>\n</ul>\n<p>Every commit should trace back to resident or operator value. 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You&#39;ll ensure new customers onboard smoothly, integrations run reliably, and support operations scale as we grow. This is a hands-on role for someone who loves problem-solving, can dive into APIs and databases, and takes pride in clear documentation and communication.</p>\n<p>You&#39;ll help property managers succeed with our AI platform while also driving continuous improvements in our internal tools and processes.</p>\n<p>Responsibilities:\nLead critical system rewrites to transform our architecture into a highly scalable, resilient foundation\nOwn the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands\nBuild and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products\nSet up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability\nEstablish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform\nDrive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions\nMentor engineers and elevate the team&#39;s capabilities across infrastructure, scalability, and AI product development</p>\n<p>Your Experience Looks Like:\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field\n3+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability\nProven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services\nExperience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)\nHands-on experience with database design, performance tuning, and scaling high-throughput data systems\nFamiliarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices\nStrong communication skills and ability to work effectively in a distributed, fast-paced environment\nComfortable operating in early-stage, high-ownership environments with evolving requirements\nBonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure\nBonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows</p>\n<p>Guiding Principles:\nCustomer‑First Outcomes\nBias for Simplicity\nQuality Is a Gate, Not an After‑Thought\nData‑Driven Choices\nTransparency &amp; 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Scalability:</p>\n<ul>\n<li><p>Identify areas across Yuno where AI can generate efficiency gains, reducing manual work, optimizing processes, and enabling smarter operations.</p>\n</li>\n<li><p>Build AI systems that enable Yuno to scale without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence.</p>\n</li>\n</ul>\n<p>Data &amp; Model Optimization:</p>\n<ul>\n<li><p>Lead fine-tuning and contextual optimization of AI models using Yuno&#39;s proprietary data.</p>\n</li>\n<li><p>Continuously refine performance through structured feedback loops, observability metrics, and user interaction data.</p>\n</li>\n<li><p>Ensure adherence to privacy, compliance, and ethical AI principles in all model development.</p>\n</li>\n</ul>\n<p>Cross-Functional Collaboration &amp; Innovation:</p>\n<ul>\n<li><p>Work closely with data, product, and infrastructure teams to define the long-term AI roadmap for Yuno.</p>\n</li>\n<li><p>Experiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage.</p>\n</li>\n<li><p>Contribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function.</p>\n</li>\n</ul>\n<p>The skills you need:</p>\n<ul>\n<li><p>5+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems.</p>\n</li>\n<li><p>Strong engineering and product mindset, capable of balancing technical depth with strategic impact.</p>\n</li>\n<li><p>Exceptional communication and collaboration skills to work across product, engineering, and data functions.</p>\n</li>\n<li><p>Passion for pushing the boundaries of applied AI and creating systems that drive real business transformation.</p>\n</li>\n<li><p>Willing to work from the Hyderabad office.</p>\n</li>\n</ul>\n<p>Minimum Qualifications:</p>\n<ul>\n<li><p>LLMs &amp; RAG: Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar, including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems.</p>\n</li>\n<li><p>AI Agents &amp; Multi-Agent Systems: Hands-on experience with Crew.ai, LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows.</p>\n</li>\n<li><p>Fine-Tuning &amp; Context Engineering: Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks.</p>\n</li>\n<li><p>Programming &amp; Frameworks: Proficiency in Python, GO, and AI/ML libraries such as PyTorch, TensorFlow, or JAX.</p>\n</li>\n<li><p>AI Infrastructure: Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization.</p>\n</li>\n<li><p>Observability &amp; Monitoring: Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance.</p>\n</li>\n<li><p>API Integration: Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products.</p>\n</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li><p>Experience using LlamaIndex, Hugging Face, or similar open-source frameworks.</p>\n</li>\n<li><p>Strong understanding of context optimization, embedding strategies, and knowledge retrieval.</p>\n</li>\n<li><p>Familiarity with MLOps, CI/CD pipelines, and production deployment best practices.</p>\n</li>\n<li><p>Prior experience in fintech, payments, or other data-intensive and regulated industries.</p>\n</li>\n<li><p>Analytical rigor and ability to translate business objectives into measurable AI outcomes.</p>\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_52542071-2d3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Yuno","sameAs":"https://www.yuno.com/","logo":"https://logos.yubhub.co/yuno.com.png"},"x-apply-url":"https://jobs.lever.co/yuno/11c53d1c-9bf0-41c7-8547-35ad174dacb2","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["LLMs & RAG","AI Agents & Multi-Agent Systems","Fine-Tuning & Context Engineering","Programming & Frameworks","AI Infrastructure","Observability & Monitoring","API Integration"],"x-skills-preferred":["Experience using LlamaIndex, Hugging Face, or similar open-source frameworks","Strong understanding of context optimization, embedding strategies, and knowledge retrieval","Familiarity with MLOps, CI/CD pipelines, and production deployment best practices","Prior experience in fintech, payments, or other data-intensive and regulated industries","Analytical rigor and ability to translate business objectives into measurable AI outcomes"],"datePosted":"2026-04-17T13:11:31.304Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"LLMs & RAG, AI Agents & Multi-Agent Systems, Fine-Tuning & Context Engineering, Programming & Frameworks, AI Infrastructure, Observability & Monitoring, API Integration, Experience using LlamaIndex, Hugging Face, or similar open-source frameworks, Strong understanding of context optimization, embedding strategies, and knowledge retrieval, Familiarity with MLOps, CI/CD pipelines, and production deployment best practices, Prior experience in fintech, payments, or other data-intensive and regulated industries, Analytical rigor and ability to translate business objectives into measurable AI outcomes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cdd309a3-028"},"title":"Strategic Partner Lead - OEM and Neoclouds","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>Role Summary</p>\n<p>As part of our rapid global expansion, we are looking for a Strategic Cloud Partner Lead to join our US Partner GTM team. Our ambitions are high and wide. To bring to market the most advanced technology, we are building a best-in-class GTM team. Builders wanted!</p>\n<p>In this role, you will be instrumental in driving the strategy and execution for our strategic OEM and NeoCloud partnerships globally.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>Build strategic partnership plans and executive relationships:</p>\n<ul>\n<li>Identify and develop revenue generating strategic partnerships with OEMs like Dell, HPE, Cisco and neoclouds like CoreWeave, Lambda, Nebius, and others.</li>\n<li>Negotiate or enhance partnership agreements and contracts, ensuring they are mutually beneficial and align with our company&#39;s interests.</li>\n<li>Develop differentiated offerings to take Mistral product and model offerings to market with OEM and neocloud partners.</li>\n<li>Develop and execute global and regional strategic plans to drive pipeline and co-selling activities with OEMs and Neoclouds.</li>\n<li>Own end-to-end partnership responsibilities including financial business outcomes, co-sell, technical integrations, joint marketing campaigns, governance and reporting, and executive engagement strategy.</li>\n</ul>\n</li>\n<li><p>Execute OEM and neocloud GTM plans to drive results:</p>\n<ul>\n<li>Execute strategic partnership plans to achieve pipeline and revenue results as a critical part of the US GTM team.</li>\n<li>Serve as a point of escalation to help resolve field conflicts using your network of key contacts from OEM and neocloud partners and your knowledge of each partner’s strategic priorities.</li>\n<li>Lead the development and communication of the partnership performance analysis, including financial performance, agreed upon metrics, and key insights.</li>\n<li>Provide enablement and support to strategic partners to ensure they are effectively promoting and selling our products or services.\nCompany builder and collaborator:</li>\n</ul>\n</li>\n<li><p>Collaborate with cross-functional teams to ensure the successful implementation of partnership initiatives.</p>\n</li>\n<li><p>Work with Mistral engineering and products team to help advance the customer experience for Mistral’s models and tools on OEM and Neocloud technology, including defining new routes to market with OEM partners.</p>\n</li>\n<li><p>Develop a strong collaboration with Mistral’s GTM team to help drive pipeline and help advance opportunities to closure.</p>\n</li>\n<li><p>Align Mistral, OEM and neocloud partner regional sales teams with Mistral’s sales counterparts and facilitate a regular MBR cadence.\nWho you are</p>\n</li>\n<li><p>Bachelor&#39;s degree in Business, Marketing, Information Technology, or a related field. An MBA or related advanced degree is preferred.</p>\n</li>\n<li><p>Minimum of 10 years of experience in GTM roles with 5+ years experience in partner management, business development or sales roles.</p>\n</li>\n<li><p>Knowledge of the NVIDIA partner ecosystem and the sales motion between NVIDIA and OEM and neocloud partners.</p>\n</li>\n<li><p>Ideally, a strong network at global level within OEM and neocloud partners.</p>\n</li>\n<li><p>Excellent negotiation, communication, and interpersonal skills.</p>\n</li>\n<li><p>Strong understanding of the technology or software industry, with a focus on AI infrastructure and partnerships.</p>\n</li>\n<li><p>Ability to travel as needed to meet with strategic partners and attend industry events.</p>\n</li>\n<li><p>Strong analytical skills, with the ability to monitor and analyze partnership performance and provide actionable insights.</p>\n</li>\n<li><p>Builder and self-starter with the ability to work independently and as part of a team.\nWhat we offer</p>\n</li>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Healthcare: Medical/Dental/Vision covered for you and your family</p>\n</li>\n<li><p>401K: 6% matching</p>\n</li>\n<li><p>Transportation: Reimburse office parking charges, or $120/month for public transport</p>\n</li>\n<li><p>Coaching: we offer BetterUp coaching on a voluntary basis</p>\n</li>\n<li><p>Sport: $120/month reimbursement for gym membership</p>\n</li>\n<li><p>Meal voucher: $400 monthly allowance for meals</p>\n</li>\n<li><p>Visa sponsorship</p>\n</li>\n<li><p>Coaching: we offer BetterUp coaching on a voluntary basis</p>\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_cdd309a3-028","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai/careers","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/2e48b51e-4872-41ee-833d-f8b57d25cf0d","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GTM","Partner Management","Business Development","Sales","NVIDIA Partner Ecosystem","AI Infrastructure","Partnerships"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:47:28.463Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"GTM, Partner Management, Business Development, Sales, NVIDIA Partner Ecosystem, AI Infrastructure, Partnerships"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a5564df1-fbd"},"title":"General Application - Join the Exowatt Talent Network","description":"<p>Join Exowatt&#39;s team and contribute to revolutionising the energy landscape for the AI era. Our P3 system captures solar energy, stores it as heat, and generates electricity on demand. We&#39;re backed by leading investors including Andreessen Horowitz, Sam Altman, and Felicis. Our mission is to provide clean, modular, and scalable power that meets the rapidly growing demands of AI infrastructure.</p>\n<p>As a member of our team, you&#39;ll have the opportunity to work on cutting-edge technology and contribute to making sustainable renewable energy always available and almost free. We offer a competitive salary and equity options, comprehensive benefits package, and relocation assistance.</p>\n<p>If you don&#39;t see a role that matches your skill set but still want to connect, join our talent network to stay engaged about our new openings.</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_a5564df1-fbd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Exowatt","sameAs":"https://exowatt.com/","logo":"https://logos.yubhub.co/exowatt.com.png"},"x-apply-url":"https://jobs.lever.co/exowatt/59d1cb13-355e-4961-be8e-e6a0408aaaaa","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["P3 system","solar energy","heat storage","electricity generation","AI infrastructure"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:31:23.128Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"P3 system, solar energy, heat storage, electricity generation, AI infrastructure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fdbee1f9-1bb"},"title":"Product Manager, Technical Intelligence, Google DeepMind","description":"<p>This is a critical strategic role situated at the intersection of infrastructure, finance, and AI strategy within Google DeepMind&#39;s Technology Strategy function.</p>\n<p>You will join the Technical Intelligence (TI) team with a dual mission: to analyse the &#39;supply side&#39; of the AI revolution (infrastructure and cloud economics) and to provide decisive competitive advantages by monitoring the external Large Model (LM) landscape.</p>\n<p>Your insights will directly inform Google&#39;s strategic planning, investment decisions, and technical roadmaps, ensuring we anticipate market moves rather than react to them.</p>\n<p>As a vital intelligence node for the external AI ecosystem, you will act as the expert on both the AI infrastructure market and competitor activity.</p>\n<p>You will analyse how compute power is being financed, built, and priced, while simultaneously synthesising public planning records and industry reports to track the strategies of key industry players.</p>\n<p>You will partner closely with Google Cloud (IaaS and Vertex), the Gemini App team, Gemini Research, Google Infrastructure, and Corporate Finance.</p>\n<p>The role involves deeply analysing the strategies and roadmaps of key industry players, including major AI labs, Hyperscalers, and specialised NeoClouds.</p>\n<p>You will identify forthcoming technical releases, strategic partnerships, and shifts in model 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Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are a global company with teams distributed between France, USA, UK, Germany and Singapore. Our diverse workforce thrives in competitive environments and is committed to driving innovation.</p>\n<p>Role Summary</p>\n<p>As part of our rapid global expansion, we are looking for a Strategic Cloud Partner Lead to join our US Partner GTM team. Our ambitions are high and wide. To bring to market the most advanced technology, we are building a best-in-class GTM team. Builders wanted!</p>\n<p>In this role, you will be instrumental in driving the strategy and execution for our strategic OEM and NeoCloud partnerships globally.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Build strategic partnership plans and executive relationships:</li>\n</ul>\n<p>Identify and develop revenue generating strategic partnerships with OEMs like Dell, HPE, Cisco and neoclouds like CoreWeave, Lambda, Nebius, and others.\nNegotiate or enhance partnership agreements and contracts, ensuring they are mutually beneficial and align with our company&#39;s interests.\nDevelop differentiated offerings to take Mistral product and model offerings to market with OEM and neocloud partners.\nDevelop and execute global and regional strategic plans to drive pipeline and co-selling activities with OEMs and Neoclouds.\nOwn end-to-end partnership responsibilities including financial business outcomes, co-sell, technical integrations, joint marketing campaigns, governance and reporting, and executive engagement strategy.</p>\n<p>Execute OEM and neocloud GTM plans to drive results:</p>\n<p>Execute strategic partnership plans to achieve pipeline and revenue results as a critical part of the US GTM team.\nServe as a point of escalation to help resolve field conflicts using your network of key contacts from OEM and neocloud partners and your knowledge of each partner’s strategic priorities.\nLead the development and communication of the partnership performance analysis, including financial performance, agreed upon metrics, and key insights.\nProvide enablement and support to strategic partners to ensure they are effectively promoting and selling our products or services.</p>\n<p>Company builder and collaborator:</p>\n<p>Collaborate with cross-functional teams to ensure the successful implementation of partnership initiatives.\nWork with Mistral engineering and products team to help advance the customer experience for Mistral’s models and tools on OEM and Neocloud technology, including defining new routes to market with OEM partners.\nDevelop a strong collaboration with Mistral’s GTM team to help drive pipeline and help advance opportunities to closure.\nAlign Mistral, OEM and neocloud partner regional sales teams with Mistral’s sales counterparts and facilitate a regular MBR cadence.</p>\n<p>Requirements</p>\n<ul>\n<li>Bachelor&#39;s degree in Business, Marketing, Information Technology, or a related field. An MBA or related advanced degree is preferred.\nMinimum of 10 years of experience in GTM roles with 5+ years experience in partner management, business development or sales roles.\nKnowledge of the NVIDIA partner ecosystem and the sales motion between NVIDIA and OEM and neocloud partners.\nIdeally, a strong network at global level within OEM and neocloud partners.\nExcellent negotiation, communication, and interpersonal skills.\nStrong understanding of the technology or software industry, with a focus on AI infrastructure and partnerships.\nAbility to travel as needed to meet with strategic partners and attend industry events.\nStrong analytical skills, with the ability to monitor and analyze partnership performance and provide actionable insights.\nBuilder and self-starter with the ability to work independently and as part of a team.</li>\n</ul>\n<p>What we offer</p>\n<p>💰 Competitive cash salary and equity</p>\n<p>🚑 Healthcare: Medical/Dental/Vision covered for you and your family</p>\n<p>👴🏻 401K: 6% matching</p>\n<p>🚴 Transportation: Reimburse office parking charges, or $120/month for public transport</p>\n<p>💡 Coaching: we offer BetterUp coaching on a voluntary basis</p>\n<p>🥎 Sport: $120/month reimbursement for gym membership</p>\n<p>🥕 Meal voucher: $400 monthly allowance for meals</p>\n<p>🌎 Visa sponsorship</p>\n<p>🤝 Coaching: we offer BetterUp coaching on a voluntary basis</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_ba6b26fb-c39","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai"},"x-apply-url":"https://jobs.lever.co/mistral/2e48b51e-4872-41ee-833d-f8b57d25cf0d","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Partner management","Business development","Sales","NVIDIA partner ecosystem","AI infrastructure","Partnerships"],"x-skills-preferred":[],"datePosted":"2026-03-10T11:34:39.899Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Partner management, Business development, Sales, NVIDIA partner ecosystem, AI infrastructure, Partnerships"},{"@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. We&#39;re combining first-principles thinking with cutting-edge technology to build a radically better energy system.</p>\n<p>As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the AI engineering roadmap and lead the development of AI-first features</li>\n<li>Productionize ML models, ensuring scalability, performance, and observability</li>\n<li>Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)</li>\n<li>Build systems that integrate AI into key parts of our stack, such as:</li>\n<li>Forecasting customer demand and renewable generation</li>\n<li>Dynamic pricing and energy trading algorithms</li>\n<li>Intelligent alerts and personalized customer features</li>\n<li>Work closely with product and engineering leadership to identify high-impact AI opportunities</li>\n<li>Build and lead a high-performing team of AI engineers</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams</li>\n<li>Deep experience deploying ML models into production environments</li>\n<li>Proficiency in designing scalable data pipelines and real-time inference systems</li>\n<li>Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)</li>\n<li>Strong cross-functional collaboration skills, particularly with data science and product teams</li>\n<li>Clear communication and an ability to prioritize for both experimentation and reliability</li>\n</ul>\n<p><strong>Bonus</strong></p>\n<ul>\n<li>Familiarity with optimization, time series modeling, or forecasting</li>\n<li>Experience with large language models (LLMs), RAG, or generative AI in production</li>\n<li>Background in MLOps or AI infrastructure at scale</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and an equity sign-on bonus</li>\n<li>Biannual bonus scheme</li>\n<li>Fully expensed tech to match your needs</li>\n<li>Paid annual leave</li>\n<li>Breakfast and dinner allowance for office-based employees</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_6186a306-374","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fuse Energy","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/xz8u7PJwq8wtrGKdHBNFmd/hybrid-head-of-engineering-(ai)-in-dubai-at-fuse-energy","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Strong software engineering background","Deep experience deploying ML models into production environments","Proficiency in designing scalable data pipelines and real-time inference systems","Understanding of modern ML tooling and frameworks","Strong cross-functional collaboration skills"],"x-skills-preferred":["Familiarity with optimization, time series modeling, or forecasting","Experience with large language models (LLMs), RAG, or generative AI in production","Background in MLOps or AI infrastructure at scale"],"datePosted":"2026-03-09T16:57:47.100Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dubai"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Strong software engineering background, Deep experience deploying ML models into production environments, Proficiency in designing scalable data pipelines and real-time inference systems, Understanding of modern ML tooling and frameworks, Strong cross-functional collaboration skills, Familiarity with optimization, time series modeling, or forecasting, Experience with large language models (LLMs), RAG, or generative AI in production, Background in MLOps or AI infrastructure at scale"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a412ed16-e60"},"title":"Head of Partnerships","description":"<p><strong>Compensation</strong></p>\n<p>$160K – $200K • 0.01% – 0.1% • Offers Commission</p>\n<p><strong>Head of Partnerships</strong></p>\n<p>You&#39;ll own the strategic partnerships that unlock access to the world&#39;s most valuable data for Firecrawl — negotiating licensing agreements, building relationships with major content and platform companies, and opening doors that don&#39;t have a &quot;Contact Sales&quot; button. This is a business development role at its core, but the deals you close will shape what Firecrawl can offer and how the product evolves.</p>\n<p><strong>Salary Range:</strong> $180,000–$220,000/year OTE (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country&#39;s cost of living. You can explore how we calculate this here: [https://www.firecrawl.dev/careers/compensation](https://www.firecrawl.dev/careers/compensation).)</p>\n<p><strong>Equity Range:</strong> Up to 0.10%</p>\n<p><strong>Location:</strong> San Francisco, CA (Hybrid; remote-friendly when needed)</p>\n<p><strong>Job Type:</strong> Full-Time (SF)</p>\n<p><strong>Experience:</strong> 5+ years in partnerships, BD, or licensing — ideally at a major tech or platform company</p>\n<p><strong>Visa:</strong> US Citizenship/Visa required for SF</p>\n<p><strong>About Firecrawl</strong></p>\n<p>Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Identify, pursue, and close strategic partnerships with major content owners, media companies, and platform businesses</li>\n</ul>\n<ul>\n<li>Negotiate data licensing and access agreements that expand what Firecrawl can offer its customers</li>\n</ul>\n<ul>\n<li>Build and maintain relationships with senior decision-makers at large organizations — legal, BD, product, and policy teams</li>\n</ul>\n<ul>\n<li>Develop the partnership strategy: who to go after, in what order, and why — then execute it</li>\n</ul>\n<ul>\n<li>Navigate complex deal structures involving legal, compliance, and data governance stakeholders</li>\n</ul>\n<ul>\n<li>Work closely with product and engineering to understand what data access unlocks and how partnerships translate into product value</li>\n</ul>\n<ul>\n<li>Represent Firecrawl in rooms where AI infrastructure and data access are being shaped</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<p><strong>A proven dealmaker in tech.</strong> You&#39;ve closed complex, high-stakes partnerships — not just warm-intro handshakes, but real agreements with legal review, commercial terms, and multiple stakeholders. You know how big organizations actually make decisions and you have the patience and persistence to navigate that.</p>\n<p><strong>Deep relationships in the right rooms.</strong> You have an existing network across major tech companies, media organizations, or platform businesses. You don&#39;t need to cold-start every conversation — you know people, and people take your calls.</p>\n<p><strong>Fluent in the AI landscape.</strong> You understand why data access matters in the age of LLMs. You can speak credibly about how AI companies use web data, what licensing means in this context, and why Firecrawl&#39;s position is unique. You don&#39;t need to write code, but you need to hold your own in technical conversations.</p>\n<p><strong>Comfortable selling a fast-moving startup to slow-moving enterprises.</strong> You&#39;ve bridged the gap between startup speed and enterprise process before. You know how to create urgency without burning relationships and how to keep momentum through long deal cycles.</p>\n<p><strong>High agency with executive presence.</strong> You represent Firecrawl in rooms with senior leaders at large companies. You&#39;re polished enough to earn trust and scrappy enough to follow up relentlessly until the deal is done.</p>\n<p><strong>Backgrounds that often do well:</strong> BD or partnerships leads at major platform, social media, or tech companies. People who&#39;ve negotiated content or data licensing deals. Senior BD at AI companies who&#39;ve worked the data access side. Ex-founders who&#39;ve closed enterprise partnerships through sheer force of will.</p>\n<p><strong>What We&#39;re NOT Looking For</strong></p>\n<p><strong>Partnership managers who manage, not close.</strong> If your experience is maintaining existing partner relationships and running QBRs, this isn&#39;t the role. You&#39;ll be sourcing and closing from scratch.</p>\n<p><strong>AI tourists.</strong> If you can&#39;t explain why data licensing matters for LLMs or how web data powers AI applications, you&#39;ll struggle to have credible conversations with partners. You need genuine understanding, not talking points.</p>\n<p><strong>People who need a big brand behind them to open doors.</strong> You&#39;ll be representing a startup, not a household name. If your dealmaking depends on the logo on your business card rather than your own credibility and hustle, this won&#39;t be a fit.</p>\n<p><strong>A Note On Pace</strong></p>\n<p>We operate at an absurd level of urgency because the window for what we&#39;re building won&#39;t stay open forever. If that excites you, keep reading. If it doesn&#39;t, no hard feelings — but this role probably isn&#39;t for you.</p>\n<p><strong>Benefits &amp; Perks</strong></p>\n<p><strong>Available to all employees</strong></p>\n<ul>\n<li><strong>Salary that makes sense</strong> — $180,000–220,000/year OTE (U.S.-based), based on impact, not tenure</li>\n</ul>\n<ul>\n<li><strong>Own a piece</strong> — Up to 0.10% equity in what you&#39;re helping build</li>\n</ul>\n<ul>\n<li><strong>Generous PTO</strong> — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge</li>\n</ul>\n<ul>\n<li><strong>Parental leave</strong> — 12 weeks fully paid, for moms and dads</li>\n</ul>\n<ul>\n<li><strong>Wellness stipend</strong> — $100/month for the gym, therapy, massages, or whatever keeps you human</li>\n</ul>\n<ul>\n<li><strong>Learning &amp; Development</strong> — Expense up to $1000/year toward anything that helps you grow professionally</li>\n</ul>\n<ul>\n<li><strong>Team offsites</strong> — A change of scenery, minus the trust falls</li>\n</ul>\n<ul>\n<li><strong>Sabbatical</strong> — 3 paid months off after 4 years, do something fun and new</li>\n</ul>\n<p><strong>Available to US-based full-time employees</strong></p>\n<p>-</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_a412ed16-e60","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Firecrawl","sameAs":"https://www.firecrawl.dev/careers/compensation","logo":"https://logos.yubhub.co/firecrawl.dev.png"},"x-apply-url":"https://jobs.ashbyhq.com/firecrawl/8064002a-3398-4eb3-a7b8-f5ebf5beebf8","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$180,000–$220,000/year OTE","x-skills-required":["Partnerships","Business Development","Licensing","Data Access","AI Infrastructure","Data Governance","Legal","Compliance","Product Management","Engineering"],"x-skills-preferred":["Fluent in the AI landscape","Deep relationships in the right rooms","Proven dealmaker in tech","High agency with executive presence"],"datePosted":"2026-03-08T18:41:20.807Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA (Hybrid)"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Partnerships, Business Development, Licensing, Data Access, AI Infrastructure, Data Governance, Legal, Compliance, Product Management, Engineering, Fluent in the AI landscape, Deep relationships in the right rooms, Proven dealmaker in tech, High agency with executive presence","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7f0a1aea-7d3"},"title":"Head of Agent Ops","description":"<p><strong>Compensation</strong></p>\n<p>$170K – $215K • 0.01% – 0.2%</p>\n<p><strong>Head of Agent Ops</strong></p>\n<p>You&#39;ll own the internal AI infrastructure that makes our team unreasonably fast. That means building, evaluating vendors, and continuously evolving the AI systems our team runs on — with the goal of maximizing every person&#39;s clock speed and scaling our ability to deploy agents across the business.</p>\n<p><strong>Salary Range:</strong></p>\n<p>$170,000–$215,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country’s cost of living. You can explore how we calculate this here: [https://www.firecrawl.dev/careers/compensation](https://www.firecrawl.dev/careers/compensation).)</p>\n<p><strong>Equity Range:</strong></p>\n<p>Up to 0.20%</p>\n<p><strong>Location:</strong></p>\n<p>San Francisco, CA (Hybrid); Truly exceptional remote considered.</p>\n<p><strong>Job Type:</strong></p>\n<p>Full-Time (SF)</p>\n<p><strong>Experience:</strong></p>\n<p>5+ years or equivalent shipped systems</p>\n<p><strong>Visa:</strong></p>\n<p>US Citizenship/Visa required for SF</p>\n<p><strong>About Firecrawl</strong></p>\n<p>Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call.</p>\n<p><strong>What We&#39;re Looking For</strong></p>\n<p><strong>A technical practitioner, not a theorist.</strong></p>\n<p>You understand how models actually work — not just API calls, but attention, context windows, inference tradeoffs, tool use patterns. You read papers. But your first instinct is always to build, not to theorize. You&#39;ve shipped real systems that automate real work.</p>\n<p><strong>Someone with battle-tested opinions on AI-assisted development.</strong></p>\n<p>You&#39;ve pushed vibe coding techniques far enough to know where they break. You have strong, experience-driven opinions about what works and what doesn&#39;t — grounded in first principles, not hype. You know when to let the model drive and when to take the wheel.</p>\n<p><strong>An automation obsessive.</strong></p>\n<p>You&#39;ve already automated your own life to a degree that others find somewhat unhinged. You see manual processes the way most people see bugs — something that shouldn&#39;t exist and won&#39;t for long.</p>\n<p><strong>Someone who understands the bitter lesson.</strong></p>\n<p>You know where the highest-leverage opportunities are because you understand which problems get solved by scale and which don&#39;t. You allocate your energy accordingly.</p>\n<p><strong>$10k+/month token budget</strong></p>\n<p>(will increase with demonstrated impact).</p>\n<p><strong>What We&#39;re NOT Looking For</strong></p>\n<p><strong>AI skeptics.</strong></p>\n<p>If you think superintelligence is hundreds of years away, this isn&#39;t your role.</p>\n<p><strong>Comfort optimizers.</strong></p>\n<p>We&#39;re looking for people who seek discomfort and aim to make a difference — not optimize for comfy vibes.</p>\n<p><strong>Status chasers.</strong></p>\n<p>If you&#39;re here because AI is in the news, you&#39;re not a fit. If you believe we&#39;re at a once-in-a-species inflection point and you want to shape the wave, not just ride it — this is the place for you.</p>\n<p><strong>A Note On Pace</strong></p>\n<p>We operate at an absurd level of urgency because the window for what we&#39;re building won&#39;t stay open forever. If that excites you, keep reading. If it doesn&#39;t, no hard feelings — but this role probably isn&#39;t for you.</p>\n<p><strong>Benefits &amp; Perks</strong></p>\n<p><strong>Available to all employees</strong></p>\n<ul>\n<li><strong>Salary that makes sense</strong> — $170,000–215,000/year (SF, U.S.-based), based on impact, not tenure</li>\n</ul>\n<ul>\n<li><strong>Own a piece</strong> — Up to 0.20% equity in what you&#39;re helping build</li>\n</ul>\n<ul>\n<li><strong>Generous PTO</strong> — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge</li>\n</ul>\n<ul>\n<li><strong>Parental leave</strong> — 12 weeks fully paid, for moms and dads</li>\n</ul>\n<ul>\n<li><strong>Wellness stipend</strong> — $100/month for the gym, therapy, massages, or whatever keeps you human</li>\n</ul>\n<ul>\n<li><strong>Learning &amp; Development</strong> \\- Expense up to $1000/year toward anything that helps you grow professionally</li>\n</ul>\n<ul>\n<li><strong>Team offsites</strong> — A change of scenery, minus the trust falls</li>\n</ul>\n<ul>\n<li><strong>Sabbatical</strong>— 3 paid months off after 4 years, do something fun and new</li>\n</ul>\n<p><strong>Available to US-based full-time employees</strong></p>\n<ul>\n<li><strong>Full coverage, no red tape</strong> — Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that works</li>\n</ul>\n<ul>\n<li><strong>Life &amp; Disability insurance</strong> — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life&#39;s curveballs</li>\n</ul>\n<ul>\n<li><strong>Supplemental options</strong> — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind</li>\n</ul>\n<ul>\n<li><strong>Doctegrity telehealth</strong> — Talk to a doctor from your couch</li>\n</ul>\n<ul>\n<li><strong>401(k) plan</strong> — Retirement might be a ways off, but future-you will thank you</li>\n</ul>\n<ul>\n<li><strong>Pre-tax benefits</strong> — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit</li>\n</ul>\n<ul>\n<li><strong>Pet insurance</strong> — Because fur babies are family too</li>\n</ul>\n<p><strong>Available to SF-based employees</strong></p>\n<ul>\n<li><strong>SF HQ perks</strong> — Snacks, drinks, team lunches, intense ping pong, and peak startup energy</li>\n</ul>\n<ul>\n<li><strong>E-Bike transportation</strong> — A loaner electric bike to get you around the city, on us</li>\n</ul>\n<p><strong>Interview Process</strong></p>\n<ul>\n<li><strong>Application Review</strong> – Send us your stuff + a quick note on why this excites you (plus links to things you’ve built).</li>\n</ul>\n<ul>\n<li><strong>Intro Chat</strong> <strong>(~20–25 min)</strong> – Quick alignment call focused on what you’ve shipped, how you think about agents vs workflows, and what you’d automate first at Firecrawl.</li>\n</ul>\n<ul>\n<li><strong>Async Systems Design</strong> <strong>(60–90 min)</strong> – A short, structured design exercise: propose a v1 agent/workflow to eliminate a real internal bottleneck. We’re looking for taste, guardrails, eval/monitoring, and a rollout plan — not a big build.</li>\n</ul>\n<ul>\n<li><strong>Founder Chat</strong> <strong>(~30 min)</strong> – Culture, pace, ownership, and how you like to work. Time for your questions too.</li>\n</ul>\n<ul>\n<li><strong>Paid Work Trial</strong> <strong>(1–2 weeks)</strong> – Test drive the real thing: ship something real, get feedback, and iterate.</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_7f0a1aea-7d3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Firecrawl","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/firecrawl.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/firecrawl/d8122162-754a-47fb-9ce7-51fdf6320a3f","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$170K – $215K • 0.01% – 0.2%","x-skills-required":["AI infrastructure","vendor evaluation","continuous evolution","agent systems","workflow automation","design","evaluation","monitoring","rollout plan"],"x-skills-preferred":["attention","context windows","inference tradeoffs","tool use patterns","vibe coding techniques","automation","scale","energy allocation"],"datePosted":"2026-03-08T18:40:09.848Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA (Hybrid)"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI infrastructure, vendor evaluation, continuous evolution, agent systems, workflow automation, design, evaluation, monitoring, rollout plan, attention, context windows, inference tradeoffs, tool use patterns, vibe coding techniques, automation, scale, energy allocation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":215000,"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. 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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. 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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_520ca95e-75f"},"title":"Software Engineer, Agent Infrastructure","description":"<p><strong>Software Engineer, Agent Infrastructure</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco; New York City</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • 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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Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work.</p>\n<p>At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide.</p>\n<p>Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes.</li>\n</ul>\n<ul>\n<li>Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production.</li>\n</ul>\n<ul>\n<li>Use Terraform to stand up and evolve complex infrastructure for both research and production.</li>\n</ul>\n<ul>\n<li>Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments.</li>\n</ul>\n<ul>\n<li>Know how to build new things from 0-1 quickly, and then scale them 1,000,000x.</li>\n</ul>\n<ul>\n<li>Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.</li>\n</ul>\n<ul>\n<li>Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform.</li>\n</ul>\n<ul>\n<li>Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities.</li>\n</ul>\n<ul>\n<li>Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance.</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive salary and equity package</li>\n</ul>\n<ul>\n<li>Opportunity to work on cutting-edge AI infrastructure</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic team environment</li>\n</ul>\n<ul>\n<li>Flexible work arrangements</li>\n</ul>\n<ul>\n<li>Professional development opportunities</li>\n</ul>\n<ul>\n<li>Access to the latest technology and tools</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and experienced software engineer looking to join a dynamic team and work on cutting-edge AI infrastructure, please submit your application. 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_520ca95e-75f","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/c1316397-25bb-4add-9e9d-0e3ea8ba929a","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-skills-required":["large-scale machine learning infrastructure","container orchestration","FastAPI","gRPC","Terraform","cloud platforms","infrastructure-as-code","virtualization","containerization","Kata","Firecracker","gVisor","Sysbox"],"x-skills-preferred":["AI infrastructure","agentic models","training environments","compute clusters","performance optimization","runtime performance"],"datePosted":"2026-03-06T18:41:05.385Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large-scale machine learning infrastructure, container orchestration, FastAPI, gRPC, Terraform, cloud platforms, infrastructure-as-code, virtualization, containerization, Kata, Firecracker, gVisor, Sysbox, AI infrastructure, agentic models, training environments, compute clusters, performance optimization, runtime performance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ffe061d1-9b2"},"title":"Cybersecurity Landscape Analyst","description":"<p><strong>Cybersecurity Landscape Analyst</strong></p>\n<p><strong>About the Team</strong></p>\n<p>The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI&#39;s overarching goal of developing AI that benefits humanity.</p>\n<p>The Strategic Intelligence &amp; Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for a Cybersecurity Landscape Analyst to help OpenAI understand how the external cyber threat environment is evolving—and what it means for our products, customers, and the broader AI ecosystem.</p>\n<p>This is an outward-facing intelligence and analysis role. The Cybersecurity Landscape Analyst monitors emerging attacker TTPs, threat-group behaviors, infrastructure trends, and real-world cyber innovation at the intersection of AI and all cyber threat surfaces including devices and robotics. Using structured research, competitive intelligence, adversarial thinking, and scenario analysis, you will stress-test assumptions about how frontier AI capabilities could be misused, targeted, or integrated into broader cyber campaigns—even in the absence of active warnings or internal incidents.</p>\n<p>This role does not conduct internal investigations, run detection on platform data, or own OpenAI’s infrastructure protection or incident response. Instead, this role translates the external cyber landscape into clear risk context, strategic foresight, and decision support for internal stakeholders, with defined handoffs into operational, detection, and security teams. While not the owner of those functions, the role works closely across cross-functional teams, drawing on their operational perspectives to sharpen external analysis, while bringing to them external insights, threat trends, and insights regarding attacker innovation to inform priorities and preparedness. In other words, this role sits at the boundary between external intelligence and internal execution, ensuring bi-directional flow between strategic cyber analysis and the teams responsible for implementation. 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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We focus on business-process controls across areas like Order-to-Cash, Compute, Data, Global Financial Close, Accounting Operations, Real Estate and AI infrastructure-related spend. We work closely with Product, GTM, Corporate Finance, Legal, BizOps, Strategic Finance, Accounting, Finance Platforms and Compliance to ensure processes are well-designed, well-documented, and audit-ready.</p>\n<p>FRM, as the broader function, leads OpenAI’s financial risk posture—spanning governance over internal controls, third-party risk, audit readiness, and financial systems oversight. Together, we provide the foundation of trust that enables OpenAI to operate at global scale.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re seeking a Senior Manager, Financial Risk Management to shape and scale the readiness frameworks and ways of working that underpin OpenAI’s SOX/ICFR program and broader FRM priorities. This is a highly cross-functional role for someone who can translate ambiguity into clear standards, expectations, and decision paths—so workstream owners can move quickly and consistently.</p>\n<p>You’ll be a core partner to Finance, Systems, and operational leaders—aligning stakeholders, driving remediation progress, and turning complex, multi-team efforts into crisp leadership updates and decision asks. Success in this role requires strong judgment, clear communication, and the ability to drive outcomes through influence.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build and scale the ICFR readiness framework (standards, playbooks, governance, and review cadences) that ensures business-process controls stay consistent, auditable, and scalable as OpenAI grows.</li>\n</ul>\n<ul>\n<li>Lead process/controls design for key finance and spend domains for your assigned pillars (e.g. Revenue, Compute, Financial Close, Accounting Operations), translating complex workflows into clear risks, controls, and ownership models.</li>\n</ul>\n<ul>\n<li>Drive risk assessments and control rationalization (what matters most, where to automate, where to simplify), using data and business context to focus effort on highest-impact reporting risks.</li>\n</ul>\n<ul>\n<li>Run targeted assessments for new/changed areas and translate them into clear expectations, owners, and timelines.</li>\n</ul>\n<ul>\n<li>Provide governance and oversight of the Big 4 provider’s execution of RCMs, narratives, and end-to-end process documentation, ensuring that all documentation is accurate, up-to-date, and fully prepared for testing—clearly articulating evidence requirements and system dependencies.</li>\n</ul>\n<ul>\n<li>Oversee issue management and remediation for your process areas, ensuring deficiencies are root-caused, fixed at the system or process level, and sustainably closed.</li>\n</ul>\n<ul>\n<li>Serve as primary liaison for audits and internal stakeholders for your domains—anticipating requests, aligning on PBC expectations, and communicating control health, risks, and progress through clear metrics and reporting.</li>\n</ul>\n<ul>\n<li>Partner with workstream leads and co-sourced teams to ensure outputs are consistent, high-quality, and leadership-ready.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Bachelor’s or Master’s degree in Accounting, Finance, Business Administration, or a related field; 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That includes adapting our software stack to new types of accelerators, tuning system performance end-to-end, and removing bottlenecks across every layer of the stack.</p>\n<p><strong>About the Role</strong></p>\n<p>On the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference.</p>\n<p>Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads.</p>\n<p>You’ll work across the stack, collaborating with both hardware and software aspects - working on kernels, sharding strategies, scaling across distributed systems, and performance modeling.</p>\n<p>You&#39;ll help adapt OpenAI&#39;s software stack to non-traditional hardware and drive efficiency improvements in core AI workloads. This is not a compiler-focused role, rather bridging ML algorithms with system performance - especially at scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Prototype and enable OpenAI&#39;s AI software stack on new, exploratory accelerator platforms.</li>\n</ul>\n<ul>\n<li>Optimize large-scale model performance (LLMs, recommender systems, distributed AI workloads) for diverse hardware environments.</li>\n</ul>\n<ul>\n<li>Develop kernels, sharding mechanisms, and system scaling strategies tailored to emerging accelerators.</li>\n</ul>\n<ul>\n<li>Collaborate on optimizations at the model code level (e.g. PyTorch) and below to enhance performance on non-traditional hardware.</li>\n</ul>\n<p>Perform system-level performance modeling, debug bottlenecks, and drive end-to-end optimization.</p>\n<ul>\n<li>Work with hardware teams and vendors to evaluate alternatives to existing platforms and adapt the software stack to their architectures.</li>\n</ul>\n<ul>\n<li>Contribute to runtime improvements, compute/communication overlapping, and scaling efforts for frontier AI workloads.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>3+ years of experience working on AI infrastructure, including kernels, systems, or hardware-software co-design</li>\n</ul>\n<ul>\n<li>Hands-on experience with accelerator platforms for AI at data center scale (e.g., TPUs, custom silicon, exploratory architectures).</li>\n</ul>\n<ul>\n<li>Strong understanding of kernels, sharding, runtime systems, or distributed scaling techniques.</li>\n</ul>\n<ul>\n<li>Familiarity with optimizing LLMs, CNNs, or recommender models for hardware efficiency.</li>\n</ul>\n<ul>\n<li>Experience with performance modeling, system debugging, and software stack adaptation for novel architectures.</li>\n</ul>\n<ul>\n<li>Exposure to mobile accelerators is welcome, but experience enabling data center-scale AI hardware is preferred.</li>\n</ul>\n<ul>\n<li>Ability to operate across multiple levels of the stack, rapidly prototype solutions, and navigate ambiguity in early hardware bring-up phases</li>\n</ul>\n<ul>\n<li>Interest in shaping the future of AI compute through exploration of alternatives to mainstream accelerators.</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_4e51470c-8f1","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/f386b209-1259-4b79-bf5a-aa97fc7ce77b","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$295K – $380K • Offers Equity","x-skills-required":["AI infrastructure","kernels","systems","hardware-software co-design","accelerator platforms","TPUs","custom silicon","exploratory architectures","kernels","sharding","runtime systems","distributed scaling techniques","LLMs","CNNs","recommender models","hardware efficiency","performance modeling","system debugging","software stack adaptation","novel architectures"],"x-skills-preferred":["mobile accelerators","data center-scale AI hardware"],"datePosted":"2026-03-06T18:27:12.141Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI infrastructure, kernels, systems, hardware-software co-design, accelerator platforms, TPUs, custom silicon, exploratory architectures, kernels, sharding, runtime systems, distributed scaling techniques, LLMs, CNNs, recommender models, hardware efficiency, performance modeling, system debugging, software stack adaptation, novel architectures, mobile accelerators, data center-scale AI hardware","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":380000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ba52acc3-4fd"},"title":"Engineering Site Lead","description":"<p>We&#39;re seeking an exceptional Site Lead to establish and scale our London office. 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