{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/logging-systems"},"x-facet":{"type":"skill","slug":"logging-systems","display":"Logging Systems","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5eb1737d-7a1"},"title":"GRC Engineering Manager","description":"<p>We are seeking a GRC Engineering Manager to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs.</p>\n<p>In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic.</p>\n<p>The core challenge is a data problem: compliance information lives across dozens of systems,cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories,and your job is to design systems that bring it together, normalize it, and make it actionable.</p>\n<p>Success in this role comes from understanding how systems connect and how data flows between them, not from writing code yourself. At Anthropic, you&#39;ll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort.</p>\n<p>You&#39;ll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you&#39;ll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn&#39;t otherwise be possible.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the team that establishes foundational GRC processes and architecture.</li>\n<li>Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.</li>\n<li>Build data pipelines that aggregate risk, control, and asset information from across our technology stack.</li>\n<li>Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.</li>\n<li>Translate written policies and compliance requirements into policy-as-code,working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.</li>\n<li>Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.</li>\n<li>Design and deploy agentic AI workflows that extend team capacity, using Claude to serve as a virtual GRC analyst to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.</li>\n<li>Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines,working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.</li>\n<li>Build and lead an AI-forward GRC engineering function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>12+ years of total experience and 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.</li>\n<li>A systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don&#39;t talk to each other.</li>\n<li>5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation.</li>\n<li>A relentless focus on data integration: you understand how to pull data from multiple sources, normalize it, join it meaningfully, and surface insights.</li>\n<li>Strong analytical and problem-solving skills with attention to detail necessary for compliance work, balanced with pragmatism about risk-based prioritization in fast-paced environments.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience designing or implementing AI-powered automation, agentic workflows, or LLM-based tooling in operational contexts.</li>\n<li>Experience with GRC platforms such as ServiceNow GRC, Vanta, Drata, OneTrust, RSA Archer, or similar tools including configuration, customization, and integration capabilities.</li>\n<li>Familiarity with scripting languages (Python or similar) for automation tasks, API interactions, and data transformation.</li>\n<li>Prior experience in high-growth startup environments demonstrating ability to build scalable processes and adapt quickly to changing requirements and priorities.</li>\n<li>Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Ansible) and DevSecOps practices including CI/CD pipeline integration and policy-as-code implementations.</li>\n<li>Familiarity with cloud platforms (AWS, GCP, Azure) and an understanding of how compliance-relevant data can be extracted from their APIs and logging systems.</li>\n</ul>\n<p><strong>Deadline to Apply:</strong> None, applications will be received on a rolling basis.</p>\n<p><strong>Annual Compensation Range:</strong> $405,000-$405,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5eb1737d-7a1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4980335008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$405,000-$405,000 USD","x-skills-required":["GRC","Automation","Data Pipelines","System Integrations","Compliance","Risk Management","Audit Programs","Agentic AI","Policy-as-Code","DevSecOps","Cloud Platforms","APIs","Logging Systems"],"x-skills-preferred":["AI-Powered Automation","LLM-Based Tooling","GRC Platforms","Scripting Languages","Infrastructure as Code","CI/CD Pipeline Integration"],"datePosted":"2026-04-18T15:38:27.414Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GRC, Automation, Data Pipelines, System Integrations, Compliance, Risk Management, Audit Programs, Agentic AI, Policy-as-Code, DevSecOps, Cloud Platforms, APIs, Logging Systems, AI-Powered Automation, LLM-Based Tooling, GRC Platforms, Scripting Languages, Infrastructure as Code, CI/CD Pipeline Integration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f6c11430-460"},"title":"Software Engineer, Observability","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Role</strong></p>\n<p>We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We&#39;re now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Own core observability infrastructure, including distributed logging, time series, and trace storage</li>\n</ul>\n<ul>\n<li>Build AI-native tools that help engineers detect, understand, and resolve issues autonomously.</li>\n</ul>\n<ul>\n<li>Contribute to UI experiences like dashboards, notebooking, or interactive debugging</li>\n</ul>\n<ul>\n<li>Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product</li>\n</ul>\n<p><strong>You Might Be a Fit If You:</strong></p>\n<ul>\n<li>Have operated large-scale distributed systems in production. (especially logging systems or some other time series databases)</li>\n</ul>\n<ul>\n<li>Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems.</li>\n</ul>\n<ul>\n<li>Have full-stack chops or product sensibilities—you&#39;re excited to build real tools people use.</li>\n</ul>\n<ul>\n<li>Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc).</li>\n</ul>\n<ul>\n<li>Bonus: built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc).</li>\n</ul>\n<p><strong>Why This Team</strong></p>\n<ul>\n<li>We’re both an infra and product team—building a real AI application for internal use.</li>\n</ul>\n<ul>\n<li>Your work will directly power the reliability of GPT-based products at massive scale.</li>\n</ul>\n<ul>\n<li>You&#39;ll help define what &#39;AI-powered observability&#39; looks like at one of the world’s most advanced AI labs.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p><strong>Additional Information</strong></p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.</p>\n<p>To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.</p>\n<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241).</p>\n<p>[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)</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_f6c11430-460","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/d4dcd344-40cf-44d6-a7dd-172118eb0842","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$255K – $405K","x-skills-required":["distributed systems","logging systems","time series databases","Kubernetes","AWS","Prometheus","OpenTelemetry"],"x-skills-preferred":["full-stack chops","product sensibilities"],"datePosted":"2026-03-08T22:19:31.048Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, logging systems, time series databases, Kubernetes, AWS, Prometheus, OpenTelemetry, full-stack chops, product sensibilities","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":405000,"unitText":"YEAR"}}}]}