{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/privacy-engineering"},"x-facet":{"type":"skill","slug":"privacy-engineering","display":"Privacy Engineering","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_f53caced-334"},"title":"Software Engineer, Cloud Inference Safeguards","description":"<p>We are seeking a Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms.</p>\n<p>As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.</p>\n<p>You will sit at the seam between the Safeguards organisation and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner&#39;s infrastructure at serving-path latency and scale.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build, deploy and operate real-time safeguards infrastructure,classifiers, rate limits, enforcement actions, and intervention hooks,embedded directly in the third-party CSP inference serving path</li>\n</ul>\n<ul>\n<li>Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behaviour while honouring regionalisation boundaries and enterprise contractual commitments</li>\n</ul>\n<ul>\n<li>Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&amp;S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving</li>\n</ul>\n<ul>\n<li>Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture</li>\n</ul>\n<ul>\n<li>Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe</li>\n</ul>\n<ul>\n<li>Work closely with Safeguards research, Policy &amp; Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner&#39;s cloud.</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have a Bachelor&#39;s degree in Computer Science, Software Engineering, or comparable experience</li>\n</ul>\n<ul>\n<li>Have 4–10+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust &amp; safety, anti-abuse, fraud, or integrity systems</li>\n</ul>\n<ul>\n<li>Are proficient in Python and comfortable working across the stack,from request-path services to data pipelines to internal tooling</li>\n</ul>\n<ul>\n<li>Think adversarially: you can see a system from a bad actor&#39;s perspective, anticipate how they will respond to countermeasures, and design defences in depth rather than single points of enforcement</li>\n</ul>\n<ul>\n<li>Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets</li>\n</ul>\n<ul>\n<li>Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development</li>\n</ul>\n<ul>\n<li>Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organisations</li>\n</ul>\n<ul>\n<li>Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space</li>\n</ul>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale</li>\n</ul>\n<ul>\n<li>Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production</li>\n</ul>\n<ul>\n<li>Major cloud platform internals,IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring,or experience shipping software that runs inside a partner&#39;s cloud rather than your own</li>\n</ul>\n<ul>\n<li>Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries</li>\n</ul>\n<ul>\n<li>Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting</li>\n</ul>\n<ul>\n<li>Adversarial mindset: has shipped defences against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident</li>\n</ul>\n<ul>\n<li>Comfortable operating at the intersection of platform/infra engineering and trust &amp; safety,neither a pure infra engineer nor a pure T&amp;S engineer, but someone who can credibly do both</li>\n</ul>\n<ul>\n<li>Has shipped software that runs inside someone else&#39;s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don&#39;t control the whole stack</li>\n</ul>\n<ul>\n<li>Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation</li>\n</ul>\n<ul>\n<li>TypeScript or Rust, and agentic coding tools such as Claude Code</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role&#39;s On Target Earnings (&#39;OTE&#39;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $405,000-$485,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f53caced-334","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5168829008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["Python","Cloud service provider (CSP)","Data residency and privacy","Machine learning serving infrastructure","Major cloud platform internals","Data residency, privacy engineering, or compliance-constrained architectures"],"x-skills-preferred":["TypeScript","Rust","Agentic coding tools","Claude Code","Trust and safety","Anti-abuse","Fraud","Integrity systems"],"datePosted":"2026-04-18T15:53:08.973Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Cloud service provider (CSP), Data residency and privacy, Machine learning serving infrastructure, Major cloud platform internals, Data residency, privacy engineering, or compliance-constrained architectures, TypeScript, Rust, Agentic coding tools, Claude Code, Trust and safety, Anti-abuse, Fraud, Integrity systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ec06a431-7fa"},"title":"Software Engineer - Privacy & Compliance","description":"<p><strong>Software Engineer - Privacy &amp; Compliance</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco; Seattle</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</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. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p>We’re looking for a <strong>Software Engineer</strong> to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers.</p>\n<p>This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation.</p>\n<p><strong><strong>What You’ll Do</strong></strong></p>\n<ul>\n<li>Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections.</li>\n</ul>\n<ul>\n<li>Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes.</li>\n</ul>\n<ul>\n<li>Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable.</li>\n</ul>\n<ul>\n<li>Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs.</li>\n</ul>\n<ul>\n<li>Harden data platforms and backend services through schema-level controls and data handling constraints by default.</li>\n</ul>\n<ul>\n<li>Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations.</li>\n</ul>\n<ul>\n<li>Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization.</li>\n</ul>\n<p><strong><strong>You Might Thrive in This Role If You Have</strong></strong></p>\n<ul>\n<li><strong>5+ years of industry experience</strong> building and operating backend or infrastructure systems in production.</li>\n</ul>\n<ul>\n<li><strong>Strong software engineering fundamentals</strong>, with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java).</li>\n</ul>\n<ul>\n<li>Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines.</li>\n</ul>\n<ul>\n<li><strong>Familiarity with global privacy regulations</strong> and their architectural implications.</li>\n</ul>\n<ul>\n<li><strong>Ability to influence and collaborate</strong> with teams across legal, compliance, product, and engineering.</li>\n</ul>\n<ul>\n<li>A <strong>bias toward practical, impactful solutions</strong> that balance privacy protections with product needs.</li>\n</ul>\n<p><strong><strong>Nice to Have</strong></strong></p>\n<ul>\n<li>Experience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems.</li>\n</ul>\n<ul>\n<li>Background in security engineering, privacy engineering, or data governance.</li>\n</ul>\n<ul>\n<li>Experience with control-plane or metadata-driven enforcement systems.</li>\n</ul>\n<ul>\n<li>Exposure to data platforms or ML infrastructure.</li>\n</ul>\n<ul>\n<li>Prior experience in a regulated or highly sensitive data environment.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ec06a431-7fa","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/23b158fe-709e-4bf5-856c-d10953d32f60","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K • Offers Equity","x-skills-required":["Python","Go","Rust","C++","Java","Distributed authorization","RBAC/ACL systems","Encryption-based access","Policy engines","Global privacy regulations","Cloud platforms","Large-scale data systems","Security engineering","Privacy engineering","Data governance","Control-plane or metadata-driven enforcement systems","Data platforms","ML infrastructure"],"x-skills-preferred":[],"datePosted":"2026-03-06T18:27:07.514Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Rust, C++, Java, Distributed authorization, RBAC/ACL systems, Encryption-based access, Policy engines, Global privacy regulations, Cloud platforms, Large-scale data systems, Security engineering, Privacy engineering, Data governance, Control-plane or metadata-driven enforcement systems, Data platforms, ML infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}}]}