{"schemaVersion":"jobsearcher.job.v1","id":"e743252fb5997c5e04efa35c","url":"https://jobsearcher.com/jobs/e743252fb5997c5e04efa35c","canonicalUrl":"https://jobsearcher.com/jobs/e743252fb5997c5e04efa35c","title":"Technical Program Manager, Safeguards (Infrastructure & Evals)","description":"About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\r\nAbout The Role Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.\r\nAs a Technical Program Manager for Safeguards Infrastructure and Evals, you\\'ll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you\\'ll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.\r\nThis role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what\\'s actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.\r\nYou Might Be a Good Fit If You Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you\\'re comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.\r\nUnderstand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what\\'s going wrong and why — you don\\'t need to write the code, but you need to follow the technical thread.\r\nAre energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them.\r\nCan work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don\\'t have direct authority, and skilled at keeping shared work moving through influence and clear communication.\r\nThrive in environments where the work shifts between \"keep the lights on\" and \"build something new\" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.\r\nHave experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.\r\nStrong Candidates May Also Have experience with SRE practices, incident management frameworks, or on-call operations at scale.\r\nHave worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted.\r\nHave experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can\\'t go offline.\r\nBe familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.\r\nDeadline to apply None, applications will be received on a rolling basis.\r\nThe annual compensation range for this role is listed below.\r\nFor sales roles, the range provided is the role's On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\r\nAnnual Salary $290,000—$365,000 USD\r\nLogistics Education requirements: We require at least a Bachelor\\'s degree in a related field or equivalent experience.\r\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\r\nVisa sponsorship: We do sponsor visas! However, we aren\\'t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\r\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you\\'re interested in this work. We think AI systems like the ones we\\'re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\r\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you\\'re ever unsure about a communication, don\\'t click any links—visit anthropic.com/careers directly for confirmed position openings.\r\nHow We\\'re Different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We\\'re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\r\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\r\nCome work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.\r\nGuidance on Candidates\\' AI Usage: Learn about our policy for using AI in our application process\r\nJ-18808-Ljbffr","company":"Anthropic","rawCompany":"anthropic","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:05:28.560Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Program Manager, Safeguards (Infrastructure & Evals)","description":"About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\r\nAbout The Role Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.\r\nAs a Technical Program Manager for Safeguards Infrastructure and Evals, you\\'ll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you\\'ll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.\r\nThis role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what\\'s actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.\r\nYou Might Be a Good Fit If You Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you\\'re comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.\r\nUnderstand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what\\'s going wrong and why — you don\\'t need to write the code, but you need to follow the technical thread.\r\nAre energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them.\r\nCan work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don\\'t have direct authority, and skilled at keeping shared work moving through influence and clear communication.\r\nThrive in environments where the work shifts between \"keep the lights on\" and \"build something new\" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.\r\nHave experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.\r\nStrong Candidates May Also Have experience with SRE practices, incident management frameworks, or on-call operations at scale.\r\nHave worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted.\r\nHave experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can\\'t go offline.\r\nBe familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.\r\nDeadline to apply None, applications will be received on a rolling basis.\r\nThe annual compensation range for this role is listed below.\r\nFor sales roles, the range provided is the role's On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\r\nAnnual Salary $290,000—$365,000 USD\r\nLogistics Education requirements: We require at least a Bachelor\\'s degree in a related field or equivalent experience.\r\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\r\nVisa sponsorship: We do sponsor visas! However, we aren\\'t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\r\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you\\'re interested in this work. We think AI systems like the ones we\\'re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\r\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you\\'re ever unsure about a communication, don\\'t click any links—visit anthropic.com/careers directly for confirmed position openings.\r\nHow We\\'re Different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We\\'re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\r\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\r\nCome work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.\r\nGuidance on Candidates\\' AI Usage: Learn about our policy for using AI in our application process\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T08:05:28.560Z","dateModified":"2026-04-09T08:05:28.560Z","hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e743252fb5997c5e04efa35c"},"url":"https://jobsearcher.com/jobs/e743252fb5997c5e04efa35c"}}