{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/complex-project-delivery"},"x-facet":{"type":"skill","slug":"complex-project-delivery","display":"Complex Project Delivery","count":3},"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_3337cbeb-901"},"title":"Technical Program Manager - Responsible AI","description":"<p>At Microsoft AI, we are on a mission to train the world&#39;s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. 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/","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_0ef9234c-9aa"},"title":"Technical Deployment Lead, Applied AI","description":"<p>As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries.</p>\n<p>This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.</p>\n<p>You&#39;ll own engagements end-to-end, from SOW through production deployment. You&#39;ll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. 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Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic&#39;s technical credibility with senior business and engineering leaders.</li>\n</ul>\n<ul>\n<li>Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.</li>\n</ul>\n<ul>\n<li>Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.</li>\n</ul>\n<ul>\n<li>Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.</li>\n</ul>\n<ul>\n<li>Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.</li>\n</ul>\n<ul>\n<li>Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.</li>\n</ul>\n<ul>\n<li>Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).</li>\n</ul>\n<p>You May Be a Good Fit If You:</p>\n<ul>\n<li>Have 5+ years of customer-facing technical delivery leadership , this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.</li>\n</ul>\n<ul>\n<li>Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.</li>\n</ul>\n<ul>\n<li>Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won&#39;t write production code, but you will own the technical direction of engagements alongside FDEs.</li>\n</ul>\n<ul>\n<li>Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries.</li>\n</ul>\n<ul>\n<li>Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguity and bring structure where none exists.</li>\n</ul>\n<ul>\n<li>Have a builder&#39;s mindset , you&#39;re here to create a function, not join one.</li>\n</ul>\n<p>Strong Candidates May Also Have:</p>\n<ul>\n<li>Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.</li>\n</ul>\n<ul>\n<li>Background at a Forward Deployed Engineering company or professional services and consulting firms.</li>\n</ul>\n<ul>\n<li>Exceptional understanding of LLM capabilities and limitations.</li>\n</ul>\n<ul>\n<li>Experience with regulated industries and compliance requirements.</li>\n</ul>\n<ul>\n<li>Experience managing delivery teams with embedded engineers at customer sites.</li>\n</ul>\n<ul>\n<li>Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures.</li>\n</ul>\n<p>Annual compensation range for this role is €190,000-€215,000 EUR.</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_0ef9234c-9aa","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/5153754008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€190,000-€215,000 EUR","x-skills-required":["AI","ML","LLM","Agentic solutions","Enterprise customers","Regulated industries","Technical delivery leadership","Customer-facing technical delivery","Technical engagement management","Technical program management","Technical product management","Founders/startups","Technical-adjacent backgrounds","Professional services","Consulting","Enterprise software"],"x-skills-preferred":["Solution patterns","Integration approaches","Technical trade-offs","Pressure-testing technical decisions","Complex project delivery","High-stakes technical projects","Ambiguity management","Structure creation","Builder's mindset"],"datePosted":"2026-04-18T16:00:48.773Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, ML, LLM, Agentic solutions, Enterprise customers, Regulated industries, Technical delivery leadership, Customer-facing technical delivery, Technical engagement management, Technical program management, Technical product management, Founders/startups, Technical-adjacent backgrounds, Professional services, Consulting, Enterprise software, Solution patterns, Integration approaches, Technical trade-offs, Pressure-testing technical decisions, Complex project delivery, High-stakes technical projects, Ambiguity management, Structure creation, Builder's mindset","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":215000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d4705425-01c"},"title":"Technical Deployment Lead, Applied AI","description":"<p>As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries.</p>\n<p>You&#39;ll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. 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Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.</li>\n<li>Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Manage the кури relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic to high-level commercial and technical executives in terms of technical credibility.</li>\n<li>Measure value and ROI: define impact hypotheses, establish baselines and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.</li>\n<li>Codify reusable solution patterns, evaluation frameworks, and technical manuals.</li>\n<li>Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.</li>\n<li>Navigate enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.</li>\n<li>Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, as needed.</li>\n<li>Manage delivery operations: sprint ceremonies, review milestones, and progress reports.</li>\n<li>Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>More than 5 years of technical leadership experience with customers. 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