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You will lead the delivery of outsized value in supporting their AI/ML objectives.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Drive innovation and transformation by solving technical and operational challenges for Public Sector customers</li>\n<li>Create solutions from scratch or improve existing ones using technical concepts, tools, and expertise</li>\n<li>Use data and analytics to align internal resources and create tools that add direct value to customers</li>\n<li>Transition AI/ML technologies into working Public Sector products/solutions</li>\n<li>Partner with engineering, operations, and other public sector teams to build and deliver AI systems</li>\n<li>Lead a cross-functional team to exceed customer AI/ML objectives</li>\n<li>Manage the long-term health of the customer base by identifying and preempting areas of risk</li>\n<li>Strategically identify ways to make customer success repeatable</li>\n</ul>\n<p>Must Haves:</p>\n<ul>\n<li>Active TS/SCI clearance</li>\n<li>3+ years of experience in stakeholder management or customer-facing role</li>\n<li>Technical background (CS, Economics, Statistics, Engineering)</li>\n<li>Deep understanding of ML operations process</li>\n<li>Structured, analytics-driven problem-solving skills</li>\n<li>Excellent verbal and written communication skills</li>\n<li>Ability to travel at least 25% of the time</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive health, dental, and vision coverage</li>\n<li>Retirement benefits</li>\n<li>Learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend (may be eligible)</li>\n</ul>\n<p>Salary Range: $199,200-$249,000 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_b1826333-34d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scaleai.com","logo":"https://logos.yubhub.co/scaleai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4716772005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$199,200-$249,000 USD","x-skills-required":["AI/ML","technical program management","stakeholder management","analytics-driven problem-solving","ML operations"],"x-skills-preferred":["Python","SQL","API technology"],"datePosted":"2026-07-22T11:06:02.086Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbia, MD"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI/ML, technical program management, stakeholder management, analytics-driven problem-solving, ML operations, Python, SQL, API technology","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":199200,"maxValue":249000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e665798b-512"},"title":"Technical Program Manager, Security","description":"<p>Palantir builds the world&#39;s leading software for data-driven decisions and operations. 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stipend</li>\n<li>Work from home stipend</li>\n<li>Cell phone reimbursement</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_fe1eea52-51c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Figma","sameAs":"https://figma.com","logo":"https://logos.yubhub.co/figma.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/figma/jobs/6020719004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$185,000-$317,000 USD","x-skills-required":["cloud-native architectures","distributed systems","infrastructure program management","cross-functional program management","stakeholder management"],"x-skills-preferred":["setting up and scaling TPM functions","enterprise security and compliance programs","infrastructure incident 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Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&#39;ll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting&#39;s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$180,800-$226,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst &amp; Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor&#39;s Know Your Rights poster for additional information. We comply with the United States Department of Labor&#39;s Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. 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Millions of companies,from the world’s largest enterprises to the most ambitious startups,use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.</p>\n<p><strong>About the Team</strong></p>\n<p>The infrastructure teams provide efficient and optimized infrastructure for Stripe to build secure, reliable and differentiated products, while enabling Stripe developers to achieve their highest potential.</p>\n<p><strong>What You’ll Do</strong></p>\n<p>As a Technical Program Manager in Infrastructure, you will drive programs that span multiple Stripe engineering organisations with a focus on improving the internal platforms that power all of our products. 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Train them to be better at delivery where needed</li>\n<li>Help influence peers / stakeholders and build consensus while dealing with ambiguity</li>\n<li>Leverage data and acquired knowledge to drive strategic decisions at an engineering leadership level</li>\n<li>Create widely circulated plans, driving consistency, clarity and building alignment across teams</li>\n<li>Operationalise and execute critical cross-functional programs spanning Stripe engineering organisations</li>\n</ul>\n<p><strong>Who You Are</strong></p>\n<p>We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. 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Our vision is to pursue humanist superintelligence, that is designed to remain controllable, aligned, and firmly in service to humanity.</p>\n<p>The Responsible AI team is hiring a Technical Program Manager to help bring that vision to life. Reporting into the sub-team supporting Microsoft Superintelligence and foundation model development, you will establish and operationalize AI safety, governance and responsibility practices across the model lifecycle. You will work directly with world-leading researchers to identify risks, set responsible AI standards, and ensure that appropriate mitigations are in place before our models are released.</p>\n<p>As part of a multidisciplinary group of AI &amp; society experts in the broader Responsible AI teams, you will operationalize and shape governance frameworks at the frontier of the field, addressing technical, ethical and regulatory challenges.</p>\n<p>Responsibilities: Collaborate with fast-paced model development teams to identify risks, develop policies and evaluations and ensure appropriate mitigations are in place prior to deployment. Establish, improve, and operationalize foundation model governance processes, ensuring Microsoft Superintelligence addresses key risks and develops models that benefit people and society. Produce analyses and recommendations to support Microsoft Superintelligence decision-making across a wide range of AI &amp; society topics. Drive organizational clarity on complex AI responsibility and safety questions, working through ambiguity at pace with a high degree of autonomy and judgment. Develop and embed Responsible AI best practices across Microsoft Superintelligence workflows. Partner with colleagues in the Office of Responsible AI and Microsoft&#39;s Corporate, External and Legal Affairs (CELA) team to develop and apply innovative governance processes responsive to a dynamic technical and regulatory landscape.</p>\n<p>Qualifications: Required Qualifications: Related bachelor&#39;s degree AND experience in AI policy, AI governance or a related field OR equivalent experience. Demonstrated experience identifying and addressing risks related to frontier AI through both technical and non-technical measures. Deep understanding of current challenges and priorities in AI responsibility and safety. Proven ability to collaborate with highly technical stakeholders, identify novel risks from technical specifications and guide mitigation efforts. Experience standing up and operationalizing governance processes or managing complex programs requiring rigorous yet fast-paced execution and stakeholder management. Track record of delivering on complex cross-functional projects in ambiguous, rapidly changing environments and demands. Additional or Preferred Qualifications: Experience drafting model-level policies or evaluating foundation models. Research background in fields related to AI and society. Broad perspective on AI risks, from content safety and psychosocial harms, to frontier risks. Familiarity with frontier AI governance frameworks and emerging AI regulation.</p>\n<p>Salary: The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.</p>\n<p>Benefits: Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</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_3337cbeb-901","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/technical-program-manager-responsible-ai-2/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["AI policy","AI governance","Technical program management","Risk management","Governance processes","Stakeholder management","Complex project delivery"],"x-skills-preferred":["Model-level policies","Foundation model evaluation","Research in AI and society","Frontier AI governance frameworks","Emerging AI regulation"],"datePosted":"2026-04-24T12:12:59.575Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI policy, AI governance, Technical program management, Risk management, Governance processes, Stakeholder management, Complex project delivery, Model-level policies, Foundation model evaluation, Research in AI and society, Frontier AI governance frameworks, Emerging AI regulation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_70e2591f-d7d"},"title":"Technical Program Manager, Infrastructure","description":"<p>As a Technical Program Manager for Infrastructure, you&#39;ll work across multiple infrastructure domains to coordinate complex programs that have broad organisational impact. You&#39;ll be solving novel scaling challenges at the frontier of what&#39;s possible, all while maintaining the security and reliability our mission demands.</p>\n<p>Developer Productivity &amp; Tooling</p>\n<ul>\n<li>Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards</li>\n</ul>\n<ul>\n<li>Coordinate large-scale migrations and platform modernization efforts across engineering teams</li>\n</ul>\n<ul>\n<li>Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements</li>\n</ul>\n<ul>\n<li>Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering</li>\n</ul>\n<p>Infrastructure Reliability &amp; Operations</p>\n<ul>\n<li>Drive programs to establish and achieve reliability targets across training infrastructure and production services</li>\n</ul>\n<ul>\n<li>Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively</li>\n</ul>\n<ul>\n<li>Establish metrics and dashboards to track infrastructure health, capacity utilisation, and operational excellence</li>\n</ul>\n<p>Cross-functional Coordination</p>\n<ul>\n<li>Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences</li>\n</ul>\n<ul>\n<li>Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development</li>\n</ul>\n<ul>\n<li>Drive alignment on priorities and timelines across teams with competing constraints</li>\n</ul>\n<p>You&#39;ll be a good fit if you have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems. You&#39;ll also need a deep technical understanding of infrastructure systems, strong stakeholder management skills, and the ability to navigate competing priorities-confirming data-driven technical decisions.</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_70e2591f-d7d","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/5111783008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000-$365,000 USD","x-skills-required":["Kubernetes","Cloud platforms (AWS, GCP, Azure)","ML infrastructure (GPU/TPU/Trainium clusters)","Developer productivity initiatives","CI/CD systems","Infrastructure scaling"],"x-skills-preferred":["Observability tooling and practices","AI tools to improve engineering productivity","Research teams and translating their needs into concrete technical requirements"],"datePosted":"2026-04-18T15:57:52.097Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Cloud platforms (AWS, GCP, Azure), ML infrastructure (GPU/TPU/Trainium clusters), Developer productivity initiatives, CI/CD systems, Infrastructure scaling, Observability tooling and practices, AI tools to improve engineering productivity, Research teams and translating their needs into concrete technical requirements","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_c4e35d55-5d1"},"title":"Technical Program Manager, Safeguards (Infrastructure & Evals)","description":"<p>Job Title: Technical Program Manager, Safeguards (Infrastructure &amp; Evals)</p>\n<p>About Anthropic</p>\n<p>Anthropic&#39;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.</p>\n<p>About the Role</p>\n<p>Safeguards Engineering builds and operates the infrastructure that keeps Anthropic&#39;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.</p>\n<p>As a Technical Program Manager for Safeguards Infrastructure and Evals, you&#39;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.</p>\n<p>Alongside that ongoing operational rhythm, you&#39;ll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This 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&#39;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.</p>\n<p>What You&#39;ll Do:</p>\n<ul>\n<li>Own the Safeguards Engineering ops review</li>\n<li>Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made.</li>\n<li>Drive incident tracking and post-mortem execution</li>\n<li>Establish and maintain SLOs with partner teams</li>\n<li>Maintain runbook quality and incident-ownership clarity</li>\n<li>Drive platform migrations and infrastructure projects</li>\n<li>Coordinate evals platform improvements</li>\n</ul>\n<p>You might be a good fit if you:</p>\n<ul>\n<li>Have solid technical program management experience, particularly in operational or infrastructure-heavy environments , you&#39;re comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.</li>\n<li>Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what&#39;s going wrong and why , you don&#39;t need to write the code, but you need to follow the technical thread.</li>\n<li>Are 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.</li>\n<li>Can work effectively across team boundaries , comfortable coordinating with partner teams (like Inference) where you don&#39;t have direct authority, and skilled at keeping shared work moving through influence and clear communication.</li>\n<li>Thrive in environments where the work shifts between &#39;keep the lights on&#39; and &#39;build something new&#39; , and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.</li>\n<li>Have 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.</li>\n</ul>\n<p>Strong candidates may also:</p>\n<ul>\n<li>Have experience with SRE practices, incident management frameworks, or on-call operations at scale.</li>\n<li>Have worked on or with evaluation infrastructure for ML systems , understanding how evals get designed, run, and interpreted.</li>\n<li>Have experience driving infrastructure migrations in complex, multi-team environments , particularly where the migration touches operational systems that can&#39;t go offline.</li>\n<li>Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.</li>\n</ul>\n<p>Deadline to apply: None, applications will be received on a rolling basis.</p>\n<p>The annual compensation range for this role is listed below. 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: $290,000-$365,000 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_c4e35d55-5d1","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/5108695008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$290,000-$365,000 USD","x-skills-required":["Technical Program Management","Operational or Infrastructure-heavy environments","Production ML systems","Incident management frameworks","On-call operations","Evaluation infrastructure for ML systems","Infrastructure migrations","Monitoring and alerting tooling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:34.910Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Operational or Infrastructure-heavy environments, Production ML systems, Incident management frameworks, On-call operations, Evaluation infrastructure for ML systems, Infrastructure migrations, Monitoring and alerting tooling","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_ca221b6f-dca"},"title":"Technical Program Manager, Safeguards (Infrastructure & Evals)","description":"<p><strong>About the Role</strong></p>\n<p>Safeguards Engineering builds and operates the infrastructure that keeps Anthropic&#39;s AI systems safe in production. As a Technical Program Manager for Safeguards Infrastructure and Evals, you&#39;ll own the operational health and forward momentum of this stack.</p>\n<p>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.</p>\n<p>Alongside that ongoing operational rhythm, you&#39;ll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.</p>\n<p>This role sits at the intersection of operations and program management. 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You&#39;ll drive strategic initiatives across inference runtime and accelerator performance,coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets.</p>\n<p>This role is essential for keeping our most contended infrastructure teams shipping effectively while Research, Product, and Safety all depend on their output.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Systems Integration &amp; Coordination: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.</li>\n</ul>\n<ul>\n<li>Performance &amp; Efficiency: Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.</li>\n</ul>\n<ul>\n<li>Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.</li>\n</ul>\n<ul>\n<li>Strategic Planning: Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.</li>\n</ul>\n<ul>\n<li>Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.</li>\n</ul>\n<ul>\n<li>Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. 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This role demands someone who thrives in ambiguity, makes well-reasoned decisions under pressure, and can translate complex security requirements into executable programs with compressed timelines.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own end-to-end security program execution for RSP security readiness – Drive security workstreams from requirements interpretation through implementation, coordinating across Security Engineering, Infrastructure, Research, and Compliance teams to ensure we meet RSP commitments on aggressive timelines</li>\n<li>Lead infrastructure security programs – Manage programs like cluster hardening, service boundary enforcement, and security observability that protect our most sensitive assets including model weights and training infrastructure</li>\n<li>Coordinate complex multi-team deployments – Manage security control rollouts and migrations, like endpoint hardening and egress reduction that require careful change management across engineering organisations</li>\n<li>Make real-time technical trade-off decisions – Balance competing constraints between security controls, research velocity, and operational feasibility during fast-moving program cycles</li>\n<li>Build program structure for emerging security domains – Create program charters, establish roles and timelines, develop communication strategies, and define success metrics for nascent security initiatives</li>\n<li>Partner with third-party partners – Manage security aspects of infrastructure partnerships, including contract requirements, relationship management, and security assurance processes</li>\n<li>Lead stakeholder communication and executive reporting – Prepare regular status updates, deliver company-wide communications, lead program reviews, and ensure leadership has visibility into critical security milestones, blockers, and risks</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience driving cross-functional projects, building longer-running programs, and interfacing with technical and non-technical stakeholders.</li>\n<li>Have experience executing technical programs that require systems and engineering-level knowledge.</li>\n<li>Have a deep interest in and/or a willingness to learn about cybersecurity or regulatory compliance.</li>\n<li>Have experience leveraging LLMs to automate workflows, improve operational efficiency, and develop novel solutions for complex technical and organisational challenges.</li>\n<li>Have experience reporting on complex programs through data-driven benchmarks, including writing SQL queries.</li>\n<li>Have strong interpersonal skills that enable you to influence without authority, build cross-organisational support, cooperation and action around security initiatives, policies and procedures.</li>\n<li>Have a track record for being able to successfully organise, implement and manage complex programs and projects.</li>\n<li>Are used to working through trade-offs, balancing competing priorities, and having your mind changed.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>We 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&#39;re interested in this work. We think AI systems like the ones we&#39;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.</strong></p>\n<p><strong>Your 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 always have an @anthropic.com email address.</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_94706409-405","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/4989788008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000 - $365,000 USD","x-skills-required":["Technical Program Management","Security Engineering","Infrastructure","Cross-functional teams","Cybersecurity","Regulatory compliance","LLMs","SQL","Interpersonal skills","Trade-off decisions","Program structure","Third-party partnerships","Stakeholder communication","Executive reporting"],"x-skills-preferred":["Experience driving cross-functional projects","Experience executing technical programs","Deep interest in cybersecurity or regulatory compliance","Experience leveraging LLMs","Strong interpersonal skills","Track record of successfully managing complex programs and projects"],"datePosted":"2026-03-08T13:49:51.276Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Security Engineering, Infrastructure, Cross-functional teams, Cybersecurity, Regulatory compliance, LLMs, SQL, Interpersonal skills, Trade-off decisions, Program structure, Third-party partnerships, Stakeholder communication, Executive reporting, Experience driving cross-functional projects, Experience executing technical programs, Deep interest in cybersecurity or regulatory compliance, Experience leveraging LLMs, Strong interpersonal skills, Track record of successfully managing complex programs and projects","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_dd79f871-8f1"},"title":"Technical Program Manager, Infrastructure","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic&#39;s Infrastructure organisation is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things.</p>\n<p>As a Technical Program Manager for Infrastructure, you&#39;ll work across multiple infrastructure domains to coordinate complex programs that have broad organisational impact. You&#39;ll be solving novel scaling challenges at the frontier of what&#39;s possible, all while maintaining the security and reliability our mission demands.</p>\n<p>This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You&#39;ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams.</p>\n<p><strong>What you&#39;ll do:</strong></p>\n<p><strong>Developer Productivity &amp; Tooling</strong></p>\n<ul>\n<li>Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards</li>\n</ul>\n<ul>\n<li>Coordinate large-scale migrations and platform modernization efforts across engineering teams</li>\n</ul>\n<ul>\n<li>Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements</li>\n</ul>\n<ul>\n<li>Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering</li>\n</ul>\n<p><strong>Infrastructure Reliability &amp; Operations</strong></p>\n<ul>\n<li>Drive programs to establish and achieve reliability targets across training infrastructure and production services</li>\n</ul>\n<ul>\n<li>Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively</li>\n</ul>\n<ul>\n<li>Establish metrics and dashboards to track infrastructure health, capacity utilisation, and operational excellence</li>\n</ul>\n<p><strong>Cross-functional Coordination</strong></p>\n<ul>\n<li>Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences</li>\n</ul>\n<ul>\n<li>Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development</li>\n</ul>\n<ul>\n<li>Drive alignment on priorities and timelines across teams with competing constraints</li>\n</ul>\n<p><strong>You May Be a Good Fit If You</strong></p>\n<ul>\n<li>Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems</li>\n</ul>\n<ul>\n<li>Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking</li>\n</ul>\n<ul>\n<li>Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives</li>\n</ul>\n<ul>\n<li>Have strong stakeholder management skills and can build trust with both technical and non-technical partners</li>\n</ul>\n<ul>\n<li>Are comfortable navigating competing priorities and using data to drive technical decisions</li>\n</ul>\n<ul>\n<li>Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling</li>\n</ul>\n<ul>\n<li>Thrive in fast-paced environments and can balance strategic planning with tactical execution</li>\n</ul>\n<ul>\n<li>Are obsessed with reliability, scalability, security, and continuous improvement</li>\n</ul>\n<ul>\n<li>Have a passion for supporting internal partners like research to understand their unique needs</li>\n</ul>\n<ul>\n<li>Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale</li>\n</ul>\n<ul>\n<li>Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters)</li>\n</ul>\n<ul>\n<li>Background working with research teams and translating their needs into concrete technical requirements</li>\n</ul>\n<ul>\n<li>Experience driving adoption of AI tools to improve engineering productivity</li>\n</ul>\n<ul>\n<li>Familiarity with observability tooling and practices</li>\n</ul>\n<p><strong>Deadline to Apply:</strong></p>\n<p>None, applications will be received on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong></p>\n<p>We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong></p>\n<p>Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong></p>\n<p>We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>Not all strong candidates will meet every single qualification as listed. 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You&#39;ll drive strategic initiatives across inference runtime and accelerator performance—coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li><strong>Systems Integration &amp; Coordination</strong>: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.</li>\n<li><strong>Performance &amp; Efficiency:</strong> Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.</li>\n<li><strong>Launch Coordination:</strong> Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.</li>\n<li><strong>Strategic Planning:</strong> Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.</li>\n<li><strong>Stakeholder Communication:</strong> Build strong relationships across research, engineering, and product teams to understand requirements and constraints. 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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. However, some roles may require more time in our offices.</li>\n<li><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</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?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","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_e81cbc56-639"},"title":"Technical Program Manager – Adversarial Model Research","description":"<p><strong>Technical Program Manager – Adversarial Model Research</strong></p>\n<p><strong>About the Role</strong></p>\n<p>As a Technical Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Lead programs that explore unexpected model behaviors and identify failure modes.</li>\n</ul>\n<ul>\n<li>Translate vague or emergent risk signals into clear priorities and actionable research plans.</li>\n</ul>\n<ul>\n<li>Design and run creative evaluations, experiments, and red-teaming campaigns.</li>\n</ul>\n<ul>\n<li>Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles.</li>\n</ul>\n<ul>\n<li>Develop repeatable systems for tracking model performance and understanding emerging behavior patterns.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have strong experience in technical program management, with excellent organizational and communication skills.</li>\n</ul>\n<ul>\n<li>Are familiar with large language models, prompt engineering, or model evaluation techniques.</li>\n</ul>\n<ul>\n<li>Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up.</li>\n</ul>\n<ul>\n<li>Are creative and resourceful in devising new methods for testing model behavior and performance.</li>\n</ul>\n<ul>\n<li>Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust.</p>\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. 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In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions.</li>\n</ul>\n<ul>\n<li>Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interim</li>\n</ul>\n<ul>\n<li>Optimize Systems &amp; Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights.</li>\n</ul>\n<ul>\n<li>Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management</li>\n</ul>\n<ul>\n<li>Scale Your Impact: Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities.</li>\n</ul>\n<p><strong>You’ll thrive in this role if you:</strong></p>\n<ul>\n<li>Proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insights</li>\n</ul>\n<ul>\n<li>Proficient in Python for interacting with various tools via APIs, including sending requests, processing responses, and integrating functionalities into workflows</li>\n</ul>\n<ul>\n<li>Proficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-making</li>\n</ul>\n<ul>\n<li>A strong understanding of how LLMs work and of prompt engineering</li>\n</ul>\n<ul>\n<li>Are excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launch</li>\n</ul>\n<ul>\n<li>Enjoy being part of an ambitious and technically-minded team</li>\n</ul>\n<ul>\n<li>Have experience working at large scale across a portfolio of projects</li>\n</ul>\n<ul>\n<li>Want to get your hands dirty; grit and creative problem solving will be required daily</li>\n</ul>\n<ul>\n<li>Have an action-oriented and deeply curious mind</li>\n</ul>\n<ul>\n<li>Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you</li>\n</ul>\n<ul>\n<li>Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization</li>\n</ul>\n<ul>\n<li>Thrive in dynamic environments and can navigate ambiguity with ease</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. 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