{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/research-operations"},"x-facet":{"type":"skill","slug":"research-operations","display":"Research Operations","count":7},"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_50fb3460-886"},"title":"Research Operations, Economic Research","description":"<p>We are seeking a strong operator to serve as the operational backbone of our Economic Research team. Your overarching mandate is twofold: 1) clear the brush so our researchers can efficiently execute on key research priorities, and 2) ensure research aspirations and findings translate into concrete policy and commercial outcomes.</p>\n<p>In this role, you will drive execution on the team&#39;s research initiatives, such as economic index releases, economic briefs and working papers, agents research, Clio observability analyses, and Anthropic interviewer deployments. You will also work backward from business deadlines to set research deadlines/milestones and plan out team capacity.</p>\n<p>Key responsibilities include ensuring smooth operating cadence and relationship touchpoints with our research ecosystem, partnering with colleagues on Research, Public Policy, Communications, and GTM to organise briefings and campaigns that amplify key research findings, and supporting the team lead in setting quarterly research priorities and resource allocation.</p>\n<p>We are looking for someone with a 5+ year track record managing and delivering on business-critical, cross-functional initiatives, who can quickly gain state on technical domains and navigate organisational complexity, building relationships and influencing without authority.</p>\n<p>Sample projects include building a living tracker for critical research workstreams, managing contracting and vendor relationships for commissioned research projects, and coordinating cross-functional alignment for a major academic research partnership.</p>\n<p>The annual compensation range for this role is $180,000-$210,000 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_50fb3460-886","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/5154112008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180,000-$210,000 USD","x-skills-required":["project management","research operations","cross-functional collaboration","data analysis","communication skills"],"x-skills-preferred":["AI research","economic research","policy analysis","data visualisation","public speaking"],"datePosted":"2026-04-18T16:00:30.078Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Research","industry":"Technology","skills":"project management, research operations, cross-functional collaboration, data analysis, communication skills, AI research, economic research, policy analysis, data visualisation, public speaking","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e4c483d6-b25"},"title":"Research Operations, Discovery","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organisation running at full speed.</p>\n<p>Our science teams are working on some of the hardest and most consequential problems in AI,training large-scale models, running complex experiments, and building novel products at the frontier. What makes that possible isn&#39;t just talent: it&#39;s the coordination, systems, and programs that let researchers spend their time on the science rather than the overhead around it.</p>\n<p>This role sits at the intersection of research operations, technical program management, and product strategy. You&#39;ll work directly with research scientists and research engineers, doing a mix of tasks including running research partnerships, managing complex internal programs, and helping run the team’s day-to-day operations.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build and manage custom expert contractor networks, sourcing domain specialists for eval and training data work that requires expertise beyond standard channels</li>\n<li>Run research partnerships with external partners, from scoping through delivery</li>\n<li>Provide end-to-end TPM support for major research pushes,coordinating across teams, tracking dependencies, and keeping stakeholders aligned</li>\n<li>Ensure that our research progress is complemented by products that enable scientists to make maximal use of model capabilities.</li>\n<li>Support recruiting efforts.</li>\n<li>Coordinate external communications for the team, including supporting blog posts and preparing public-facing materials</li>\n<li>Partner with product teams to contribute to science product strategy, product design, and novel product integrations where research and product intersect</li>\n<li>Own team logistics including onboarding coordination, team events, and operational programs that improve team efficiency</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience in research operations, technical program management, or a related role in a fast-moving technical environment</li>\n<li>Can context-switch fluidly between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking)</li>\n<li>Have a technical background, with experience in software development, machine learning, or biology R&amp;D.</li>\n<li>Are comfortable working directly with research scientists and engineers,you ask good questions, you don&#39;t need things explained twice, and you know when to escalate vs. when to handle it yourself</li>\n<li>Have a track record of building systems and processes from scratch rather than inheriting them</li>\n<li>Bring strong written communication skills and can represent the team accurately in external-facing materials</li>\n<li>Have managed contractors or external partners before, including scoping work, tracking delivery, and ensuring quality</li>\n<li>Are results-oriented, with a bias toward flexibility and impact</li>\n<li>Thrive in ambiguous, fast-moving environments where priorities shift and no two weeks look the same</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Direct experience sourcing and managing expert contractor networks, particularly in technical or scientific domains</li>\n<li>Familiarity with ML research workflows,training runs, evaluations, data pipelines,and what makes them succeed or stall</li>\n<li>Experience contributing to product development or product strategy, not just operations</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the research operations role Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!</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_e4c483d6-b25","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/5188237008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$210,000-$310,000 USD","x-skills-required":["research operations","technical program management","software development","machine learning","biology R&D","contractor management","external partner management","written communication","project coordination","team logistics"],"x-skills-preferred":["expert contractor network management","ML research workflows","product development","product strategy"],"datePosted":"2026-04-18T15:56:46.902Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"research operations, technical program management, software development, machine learning, biology R&D, contractor management, external partner management, written communication, project coordination, team logistics, expert contractor network management, ML research workflows, product development, product strategy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4249dbdd-13b"},"title":"Product Operations Manager, Feedback Loops","description":"<p>We&#39;re hiring a Product Operations Manager , Feedback Loops to own and continuously improve how customer signal flows into product and research decisions at Anthropic. This is a horizontal, org-wide role , you won&#39;t be embedded in a single product team, you&#39;ll build the shared operating system for voice of the customer that every product team, every surface, and every GTM motion plugs into.</p>\n<p>Feedback at Anthropic is uniquely high-leverage. We&#39;re building on frontier models that evolve constantly, serving customers from individual developers to the largest enterprises, across multiple surfaces (API, claude.ai, Claude Code). Customer signal arrives from everywhere , field conversations, support interactions, early access programs, in-product telemetry , and the opportunity is to make that signal a first-class, structured input to every product and research decision.</p>\n<p>This role will build the system that makes customer voice as easy to act on as any other data source. You treat feedback loops as a product. You&#39;re obsessed with making it effortless for the field to share what they&#39;re hearing and for product teams to know what matters most. You build AI-enabled systems that do the first pass so humans can focus on judgment, not triage. You think like a product manager, not a process administrator.</p>\n<p>Your work will directly impact how fast Anthropic learns from its customers and how reliably that learning shapes what we build next.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p>You&#39;ll own the operating system for customer feedback across all of Anthropic , one shared platform, not a collection of per-team processes. Working horizontally across every Product team, Research PM, GTM, Customer Success, and Support, you&#39;ll establish the intake, synthesis, and routing infrastructure that makes voice of the customer a first-class input to every roadmap.</p>\n<p>You&#39;ll drive adoption through influence, making it so obviously useful that teams pull from it rather than get pushed to it.</p>\n<p><strong>Feedback Intake &amp; System of Record</strong></p>\n<p>Own the single, org-wide pipeline that captures customer feedback from every channel , field teams, support, early access programs, in-product signals , into one structured system of record that serves every product surface.</p>\n<p>Build intake workflows that meet teams where they already work (Slack, Gong, CRM) without creating a documentation tax. Obsess over the submitter experience so that sharing feedback is faster than not sharing it.</p>\n<p><strong>AI-Enabled Synthesis &amp; Triage</strong></p>\n<p>Build Claude-powered pipelines that enrich, tag, cluster, and summarize unstructured feedback into trackable issues , doing the first-pass work so humans focus on verification and judgment.</p>\n<p>Design the human-in-the-loop model: Claude proposes, PMs and field teams correct, and the system learns from those corrections over time.</p>\n<p>Partner with Engineering and Research on tooling strategy, evals, and the closed-loop data that makes synthesis quality measurably improve.</p>\n<p><strong>Routing &amp; Closing the Loop</strong></p>\n<p>Establish clear routing so the right feedback reaches the right product or research owner at the right time , including the path from product signal back into model training priorities.</p>\n<p>Build the visibility layer that gives GTM and Support a clear line of sight from customer input to roadmap outcome, so they can close the loop with customers confidently and in real time.</p>\n<p><strong>Voice of the Customer Programs</strong></p>\n<p>Partner deeply with GTM, Customer Success, and Sales to design and run structured voice of the customer programs , customer advisory boards, early access programs, design partner cohorts , that generate high-signal feedback by design.</p>\n<p>Define what &#39;high-signal&#39; means: feedback tied to specific use cases, blocker severity, revenue context, and customer segments so product teams can make confident tradeoffs.</p>\n<p><strong>Continuous Improvement</strong></p>\n<p>Define and track success metrics for feedback loop health , time-to-triage, signal quality, roadmap influence, field satisfaction , and use them to identify bottlenecks.</p>\n<p>Run regular retros with Product and GTM partners and feed learnings back into process and tooling improvements. Scale what works through documentation and enablement.</p>\n<p><strong>You may be a good fit if you:</strong></p>\n<p>Have 7+ years in product operations, customer insights, voice of the customer programs, or related roles in fast-paced tech companies.</p>\n<p>Have personally shipped AI-enabled processes and systems , you&#39;ve written the prompts, built the evals, and iterated on production LLM workflows yourself. You can talk about model behavior with specificity, not just direct others to build.</p>\n<p>Have owned a customer feedback program end-to-end , intake, synthesis, routing, and closing the loop , that product teams actually used to make decisions. The customer mix can be enterprise, PLG, design partner, or dev community; what matters is that you designed it and ran it.</p>\n<p>Have operated at earlier-stage and scaling companies (Series B-D or equivalent) where you built things that didn&#39;t exist yet, shipped v1s in weeks not quarters, and iterated in public.</p>\n<p>Have operated in horizontal, cross-org roles before , you know how to build shared infrastructure that many teams depend on, drive adoption through influence rather than mandate, and earn trust across functions that don&#39;t report to you.</p>\n<p>Are comfortable with ambiguity and can create structure where none exists , you&#39;ve built the v1 of a system and iterated it into something teams rely on.</p>\n<p>Are service-oriented and obsessed with making it easy for others to do great work.</p>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<p>Building AI-native workflows end-to-end , prompt design, evals, closed-loop improvement , and pushing the boundaries of what automation can own.</p>\n<p>Product Management, Customer Success Operations, or Research Operations.</p>\n<p>Feedback tooling ecosystems (Productboard, Dovetail, or homegrown equivalents) and the tradeoffs between buy vs. build.</p>\n<p>Treating process as a product with users, metrics, and continuous iteration.</p>\n<p>Track record of building and scaling operations programs from zero to one.</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_4249dbdd-13b","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/5179882008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$260,000-$325,000 USD","x-skills-required":["Product Operations","Customer Insights","Voice of the Customer Programs","AI-Enabled Systems","Process Automation","Collaboration Tools","Data Analysis","Metrics Tracking","Continuous Improvement"],"x-skills-preferred":["LLM Workflows","Prompt Design","Evals","Closed-Loop Improvement","Product Management","Customer Success Operations","Research Operations","Feedback Tooling Ecosystems"],"datePosted":"2026-04-18T15:54:03.763Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Operations, Customer Insights, Voice of the Customer Programs, AI-Enabled Systems, Process Automation, Collaboration Tools, Data Analysis, Metrics Tracking, Continuous Improvement, LLM Workflows, Prompt Design, Evals, Closed-Loop Improvement, Product Management, Customer Success Operations, Research Operations, Feedback Tooling Ecosystems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":260000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d951cdda-dc5"},"title":"Research Operations, Discovery","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organisation running at full speed.</p>\n<p>Our science teams are working on some of the hardest and most consequential problems in AI,training large-scale models, running complex experiments, and building novel products at the frontier. What makes that possible isn&#39;t just talent: it&#39;s the coordination, systems, and programs that let researchers spend their time on the science rather than the overhead around it.</p>\n<p>This role sits at the intersection of research operations, technical program management, and product strategy. You&#39;ll work directly with research scientists and research engineers, doing a mix of tasks including running research partnerships, managing complex internal programs, and helping run the team’s day-to-day operations.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build and manage custom expert contractor networks, sourcing domain specialists for eval and training data work that requires expertise beyond standard channels</li>\n<li>Run research partnerships with external partners, from scoping through delivery</li>\n<li>Provide end-to-end TPM support for major research pushes,coordinating across teams, tracking dependencies, and keeping stakeholders aligned</li>\n<li>Ensure that our research progress is complemented by products that enable scientists to make maximal use of model capabilities.</li>\n<li>Support recruiting efforts.</li>\n<li>Coordinate external communications for the team, including supporting blog posts and preparing public-facing materials</li>\n<li>Partner with product teams to contribute to science product strategy, product design, and novel product integrations where research and product intersect</li>\n<li>Own team logistics including onboarding coordination, team events, and operational programs that improve team efficiency</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience in research operations, technical program management, or a related role in a fast-moving technical environment</li>\n<li>Can context-switch fluidly between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking)</li>\n<li>Have a technical background, with experience in software development, machine learning, or biology R&amp;D.</li>\n<li>Are comfortable working directly with research scientists and engineers,you ask good questions, you don&#39;t need things explained twice, and you know when to escalate vs. when to handle it yourself</li>\n<li>Have a track record of building systems and processes from scratch rather than inheriting them</li>\n<li>Bring strong written communication skills and can represent the team accurately in external-facing materials</li>\n<li>Have managed contractors or external partners before, including scoping work, tracking delivery, and ensuring quality</li>\n<li>Are results-oriented, with a bias toward flexibility and impact</li>\n<li>Thrive in ambiguous, fast-moving environments where priorities shift and no two weeks look the same</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Direct experience sourcing and managing expert contractor networks, particularly in technical or scientific domains</li>\n<li>Familiarity with ML research workflows,training runs, evaluations, data pipelines,and what makes them succeed or stall</li>\n<li>Experience contributing to product development or product strategy, not just operations</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the research operations role Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Visa sponsorship: We do sponsor visas!</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_d951cdda-dc5","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/5188237008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$210,000-$310,000 USD","x-skills-required":["research operations","technical program management","software development","machine learning","biology R&D","contractor management","external partner management","written communication","team logistics"],"x-skills-preferred":["expert contractor network management","ML research workflows","product development","product strategy"],"datePosted":"2026-04-18T15:45:31.775Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"research operations, technical program management, software development, machine learning, biology R&D, contractor management, external partner management, written communication, team logistics, expert contractor network management, ML research workflows, product development, product strategy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_47588e09-b9f"},"title":"Product Operations Manager, Feedback Loops","description":"<p>We&#39;re hiring a Product Operations Manager , Feedback Loops to own and continuously improve how customer signal flows into product and research decisions at Anthropic.</p>\n<p>This is a horizontal, org-wide role , you won&#39;t be embedded in a single product team, you&#39;ll build the shared operating system for voice of the customer that every product team, every surface, and every GTM motion plugs into.</p>\n<p>Feedback at Anthropic is uniquely high-leverage. We&#39;re building on frontier models that evolve constantly, serving customers from individual developers to the largest enterprises, across multiple surfaces (API, claude.ai, Claude Code).</p>\n<p>Customer signal arrives from everywhere , field conversations, support interactions, early access programs, in-product telemetry , and the opportunity is to make that signal a first-class, structured input to every product and research decision.</p>\n<p>You treat feedback loops as a product. You&#39;re obsessed with making it effortless for the field to share what they&#39;re hearing and for product teams to know what matters most.</p>\n<p>You build AI-enabled systems that do the first pass so humans can focus on judgment, not triage. You think like a product manager, not a process administrator.</p>\n<p>Your work will directly impact how fast Anthropic learns from its customers and how reliably that learning shapes what we build next.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p>You&#39;ll own the operating system for customer feedback across all of Anthropic , one shared platform, not a collection of per-team processes.</p>\n<p>Working horizontally across every Product team, Research PM, GTM, Customer Success, and Support, you&#39;ll establish the intake, synthesis, and routing infrastructure that makes voice of the customer a first-class input to every roadmap.</p>\n<p>You&#39;ll drive adoption through influence, making it so obviously useful that teams pull from it rather than get pushed to it.</p>\n<p><strong>Feedback Intake &amp; System of Record</strong></p>\n<ul>\n<li>Own the single, org-wide pipeline that captures customer feedback from every channel , field teams, support, early access programs, in-product signals , into one structured system of record that serves every product surface.</li>\n</ul>\n<ul>\n<li>Build intake workflows that meet teams where they already work (Slack, Gong, CRM) without creating a documentation tax. Obsess over the submitter experience so that sharing feedback is faster than not sharing it.</li>\n</ul>\n<p><strong>AI-Enabled Synthesis &amp; Triage</strong></p>\n<ul>\n<li>Build Claude-powered pipelines that enrich, tag, cluster, and summarize unstructured feedback into trackable issues , doing the first-pass work so humans focus on verification and judgment.</li>\n</ul>\n<ul>\n<li>Design the human-in-the-loop model: Claude proposes, PMs and field teams correct, and the system learns from those corrections over time.</li>\n</ul>\n<ul>\n<li>Partner with Engineering and Research on tooling strategy, evals, and the closed-loop data that makes synthesis quality measurably improve.</li>\n</ul>\n<p><strong>Routing &amp; Closing the Loop</strong></p>\n<ul>\n<li>Establish clear routing so the right feedback reaches the right product or research owner at the right time , including the path from product signal back into model training priorities.</li>\n</ul>\n<ul>\n<li>Build the visibility layer that gives GTM and Support a clear line of sight from customer input to roadmap outcome, so they can close the loop with customers confidently and in real time.</li>\n</ul>\n<p><strong>Voice of the Customer Programs</strong></p>\n<ul>\n<li>Partner deeply with GTM, Customer Success, and Sales to design and run structured voice of the customer programs , customer advisory boards, early access programs, design partner cohorts , that generate high-signal feedback by design.</li>\n</ul>\n<ul>\n<li>Define what &#39;high-signal&#39; means: feedback tied to specific use cases, blocker severity, revenue context, and customer segments so product teams can make confident tradeoffs.</li>\n</ul>\n<p><strong>Continuous Improvement</strong></p>\n<ul>\n<li>Define and track success metrics for feedback loop health , time-to-triage, signal quality, roadmap influence, field satisfaction , and use them to identify bottlenecks.</li>\n</ul>\n<ul>\n<li>Run regular retros with Product and GTM partners and feed learnings back into process and tooling improvements. Scale what works through documentation and enablement.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 7+ years in product operations, customer insights, voice of the customer programs, or related roles in fast-paced tech companies.</li>\n</ul>\n<ul>\n<li>Have personally shipped AI-enabled processes and systems , you&#39;ve written the prompts, built the evals, and iterated on production LLM workflows yourself.</li>\n</ul>\n<ul>\n<li>Have owned a customer feedback program end-to-end , intake, synthesis, routing, and closing the loop , that product teams actually used to make decisions.</li>\n</ul>\n<ul>\n<li>Have operated at earlier-stage and scaling companies (Series B-D or equivalent) where you built things that didn&#39;t exist yet, shipped v1s in weeks not quarters, and iterated in public.</li>\n</ul>\n<ul>\n<li>Have operated in horizontal, cross-org roles before , you know how to build shared infrastructure that many teams depend on, drive adoption through influence rather than mandate, and earn trust across functions that don&#39;t report to you.</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity and can create structure where none exists , you&#39;ve built the v1 of a system and iterated it into something teams rely on.</li>\n</ul>\n<ul>\n<li>Are service-oriented and obsessed with making it easy for others to do great work.</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>Building AI-native workflows end-to-end , prompt design, evals, closed-loop improvement , and pushing the boundaries of what automation can own.</li>\n</ul>\n<ul>\n<li>Product Management, Customer Success Operations, or Research Operations.</li>\n</ul>\n<ul>\n<li>Feedback tooling ecosystems (Productboard, Dovetail, or homegrown equivalents) and the tradeoffs between buy vs. build.</li>\n</ul>\n<ul>\n<li>Treating process as a product with users, metrics, and continuous iteration.</li>\n</ul>\n<ul>\n<li>Track record of building and scaling operations programs from zero to one.</li>\n</ul>\n<p>Annual compensation range for this role is $260,000-$325,000 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_47588e09-b9f","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/5179882008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$260,000-$325,000 USD","x-skills-required":["AI-enabled processes","Customer insights","Voice of the customer programs","Product operations","Customer feedback","Synthesis and triage","Routing and closing the loop","Continuous improvement","Metrics tracking","Process management"],"x-skills-preferred":["Prompt design","Evals","Closed-loop improvement","Automation","Product management","Customer success operations","Research operations","Feedback tooling ecosystems","Process as a product","Metrics-driven approach"],"datePosted":"2026-04-18T15:44:07.529Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI-enabled processes, Customer insights, Voice of the customer programs, Product operations, Customer feedback, Synthesis and triage, Routing and closing the loop, Continuous improvement, Metrics tracking, Process management, Prompt design, Evals, Closed-loop improvement, Automation, Product management, Customer success operations, Research operations, Feedback tooling ecosystems, Process as a product, Metrics-driven approach","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":260000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1a0ef420-393"},"title":"Research Operations, Economic Research","description":"<p>Job Title: Research Operations, Economic Research</p>\n<p>We are seeking a strong operator to serve as the operational backbone of Anthropic&#39;s Economic Research team. Your overarching mandate is twofold: 1) clear the brush so our researchers can efficiently execute on key research priorities, and 2) ensure research aspirations and findings translate into concrete policy and commercial outcomes.</p>\n<p>In this role, you will drive execution on the team&#39;s research initiatives, work backward from business deadlines to set research deadlines/milestones and plan out team capacity, ensure smooth operating cadence and relationship touchpoints with our research ecosystem, and partner with colleagues on Research, Public Policy, Communications, and GTM to organize briefings and campaigns that amplify key research findings.</p>\n<p>You may be a good fit if you have a 5+ year track record managing and delivering on business-critical, cross-functional initiatives, have the ability to quickly gain state on technical domains and know enough to be effective, without being a subject matter expert, are skilled at navigating organizational complexity, building relationships, and influencing without authority, can see around corners and anticipate needs when supporting leaders in executing their vision, and are highly organized with the ability to prioritize multiple tasks while maintaining a high attention to detail.</p>\n<p>Sample projects include building a living tracker for critical research workstreams, managing contracting and vendor relationships for commissioned research projects, coordinating cross-functional alignment for a major academic research partnership, and working backward from a policy campaign or research publication deadline to organize research milestones and deliverables.</p>\n<p>The annual compensation range for this role is $180,000-$210,000 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_1a0ef420-393","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/5154112008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180,000-$210,000 USD","x-skills-required":["project management","operational rigor","policy research","communications","cross-functional collaboration"],"x-skills-preferred":["economic research","artificial intelligence","data analysis","policy analysis","research operations"],"datePosted":"2026-04-18T15:43:33.292Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Research","industry":"Technology","skills":"project management, operational rigor, policy research, communications, cross-functional collaboration, economic research, artificial intelligence, data analysis, policy analysis, research operations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_775d7995-fc7"},"title":"Director, PX Research Operations","description":"<p>As Director, Research Operations, you will lead the operational foundation that enables player-led research to be predictable, fast, scalable, and trusted across EA&#39;s global portfolio.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Research Program Management</li>\n<li>Vendor Management</li>\n<li>Player Recruitment &amp; Global Labs</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>8+ years of experience in Research Operations, UX Operations, or Research Program Management</li>\n<li>5+ years leading managers or large, multi-layered global teams</li>\n<li>Hands-on expertise in playtest lab and field operations, research program management, participant and player recruitment at scale</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_775d7995-fc7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Director-PX-Research-Operations/212813","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,900 - $238,100 CAD","x-skills-required":["Research Operations","UX Operations","Research Program Management"],"x-skills-preferred":["Playtest lab and field operations","Research program management","Participant and player recruitment at scale"],"datePosted":"2026-02-21T20:03:26.572Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Research Operations, UX Operations, Research Program Management, Playtest lab and field operations, Research program management, Participant and player recruitment at scale","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165900,"maxValue":238100,"unitText":"YEAR"}}}]}