{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/internal-enablement"},"x-facet":{"type":"skill","slug":"internal-enablement","display":"Internal Enablement","count":5},"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_9b4f2906-612"},"title":"Industry Principal, Insurance","description":"<p>As the Insurance Industry Advisor at Anthropic, you will serve as the technical and strategic face of Claude to the world&#39;s leading insurance carriers, brokers, reinsurers, and insurtech companies. You&#39;ll combine deep insurance domain expertise with technical credibility to help customers envision, architect, and realise transformational AI solutions. This role sits at the intersection of technical leadership, customer engagement, product strategy, and internal enablement.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Technical Evangelism &amp; Thought Leadership: Represent Anthropic&#39;s technical vision to the insurance industry through conference keynotes, executive briefings, whitepapers, and industry advisory boards. Establish Claude as the leading AI platform for P&amp;C, Life, and Reinsurance markets.</li>\n</ul>\n<ul>\n<li>Strategic Customer Engagement: Serve as executive technical sponsor for strategic insurance accounts, engaging CIOs, CTOs, Chief Underwriting Officers, Chief Claims Officers, and Heads of AI/ML on enterprise AI strategy. Build peer-to-peer relationships that position Anthropic as a strategic transformation partner.</li>\n</ul>\n<ul>\n<li>Product Partnership &amp; Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities. Partner closely with Product and Research to develop insurance-specific capabilities including model governance, explainability, audit logging, and regulatory compliance features.</li>\n</ul>\n<ul>\n<li>Pricing &amp; Commercial Strategy: Contribute to pricing and packaging decisions with insurance market insight. Understand value drivers for different insurance segments, competitive positioning, and deal structuring that aligns with how insurers buy technology.</li>\n</ul>\n<ul>\n<li>Internal Enablement &amp; Advocacy: Train and uplift Anthropic&#39;s GTM teams on insurance domain expertise, use cases, and buyer personas. Create enablement content, conduct training sessions, and serve as the internal authority on all things insurance. Influence without authority across the organisation.</li>\n</ul>\n<ul>\n<li>Regulatory &amp; Compliance Navigation: Partner internally and externally to develop thought leadership regarding AI governance frameworks aligned with state insurance regulations, NAIC guidelines, and international requirements. Help customers understand model risk management, explainability requirements, and responsible AI practices for insurance.</li>\n</ul>\n<ul>\n<li>Ecosystem Partnership: Build technical relationships with GSIs (Deloitte, Accenture, McKinsey), cloud providers (AWS, Azure, GCP), and insurance technology vendors (Guidewire, Duck Creek, Majesco).</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>20+ years of experience in technology and/or business roles with at least 8 years in senior leadership positions (CTO, VP Engineering, Chief Architect, Chief Underwriting Officer, Head of Claims Technology, Distinguished Engineer) in insurance</li>\n</ul>\n<ul>\n<li>Deep domain expertise across multiple insurance segments,P&amp;C (personal and commercial lines), Life &amp; Annuities, or Reinsurance,with hands-on experience building or operating mission-critical systems</li>\n</ul>\n<ul>\n<li>Strong understanding of AI/ML technologies including large language models, with the ability to engage credibly on technical architecture, model behaviour, and system design</li>\n</ul>\n<ul>\n<li>Established executive networks across insurance technology leadership (CIOs, CTOs, Chief Underwriting Officers) and credibility as a thought leader in the industry</li>\n</ul>\n<ul>\n<li>Deep knowledge of insurance regulatory requirements (state insurance regulations, NAIC model laws, Solvency II, Lloyd&#39;s requirements) and experience implementing compliant technology solutions</li>\n</ul>\n<ul>\n<li>Skilled at translating complex technical concepts into business value propositions that resonate with both technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience influencing product roadmaps based on customer feedback and market requirements, working effectively with Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Passionate about responsible AI development and Anthropic&#39;s mission, with a commitment to helping insurers adopt AI safely and beneficially</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_9b4f2906-612","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/5133070008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$360,000-$550,000 USD","x-skills-required":["AI/ML technologies","Insurance domain expertise","Technical leadership","Customer engagement","Product strategy","Internal enablement","Regulatory compliance","Ecosystem partnership"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:31.107Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI/ML technologies, Insurance domain expertise, Technical leadership, Customer engagement, Product strategy, Internal enablement, Regulatory compliance, Ecosystem partnership","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":360000,"maxValue":550000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_403305ef-ce3"},"title":"Senior Product Marketing Manager","description":"<p>About Us</p>\n<p>dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases. As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.</p>\n<p>As a Senior Product Marketing Manager at dbt Labs, you will play a pivotal role in shaping the market perception of dbt,the industry standard that helps organisations build, manage, and analyse data at scale for analytics and AI,building compelling narratives, driving product adoption, and shaping how our products are used and understood by our enterprise customers. This role is perfect for someone who’s as comfortable digging into the details of dbt features and our users’ needs as they are with telling a big-picture story about where our platform and industry are headed.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Drive the go-to-market strategy for dbt, and specifically features that position dbt for AI workflows and use cases, working closely with Product, Marketing, and Field teams to identify and address target buyer personas, challenges, and opportunities.</li>\n<li>Craft product positioning and messaging with clear, differentiated positioning for dbt, grounded in customer insights, market context, and roadmapped innovations.</li>\n<li>Develop and execute marketing campaigns that clearly articulate the value and unique advantages of dbt.</li>\n<li>Collaborate closely with Product and Engineering to shape product strategy, using competitive, customer, and market insights to influence our product roadmap.</li>\n<li>Create and maintain a core bill of materials including web content, messaging guides, solutions briefs, product videos, pitch decks, email sequences, and internal enablement materials for the dbt.</li>\n<li>Develop and execute product launch and campaign strategies that drive pipeline for net new customer and expansion opportunities.</li>\n<li>Create and maintain internal sales tools like playbooks that reflect a high degree of customer understanding and empathy.</li>\n<li>Work with Revenue Marketing teams to ensure strategic narratives and product messaging are delivered consistently at every touchpoint.</li>\n<li>Measure and report on the effectiveness of marketing campaigns, using insights to drive continuous improvement.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>4+ years of experience in product marketing, preferably within the data analytics domain.</li>\n<li>A proven track record of developing and executing successful marketing campaigns for B2B software products.</li>\n<li>Strong understanding of the data analytics industry and its challenges, with the ability to translate complex concepts into clear, compelling messaging.</li>\n<li>Exceptional written and verbal communication skills, with a talent and passion for storytelling.</li>\n<li>Experience working with cross-functional teams, demonstrating strong leadership and collaborative abilities.</li>\n<li>Demonstrated analytical skills, with the ability to leverage data to inform marketing strategies and decisions.</li>\n</ul>\n<p><strong>Preferred upcoming</strong></p>\n<ul>\n<li>Prior experience working at a data analytics, AI, and/or open source software company</li>\n<li>Familiarity with the modern analytics stack, and a strong grasp of market dynamics within it</li>\n<li>Experience as an end-user of dbt, and/or experience as a data analyst, data engineer, or data scientist</li>\n</ul>\n<p><strong>Compensation &amp; 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You&#39;ll combine deep insurance domain expertise with technical credibility to help customers envision, architect, and realise transformational AI solutions,while building Anthropic&#39;s reputation as the trusted AI platform for one of the most complex and regulated industries in the world.</p>\n<p>This role sits at the intersection of technical leadership, customer engagement, product strategy, and internal enablement. You&#39;ll work directly with CIOs, CTOs, Chief Underwriting Officers, Chief Claims Officers, and technology leaders at major insurers and brokers to design solutions that address their most critical challenges,from underwriting automation and claims processing to fraud detection and customer experience. Your insights will flow directly to Product and Research, shaping Claude&#39;s roadmap for insurance. Equally important, you&#39;ll enable Anthropic&#39;s GTM teams with deep domain expertise, thought leadership content, and strategic guidance.</p>\n<p>With AI poised to transform insurance operations and the industry seeking partners who understand their unique challenges, you&#39;ll play a pivotal role in establishing Anthropic as the AI platform of choice for insurers worldwide.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Technical Evangelism &amp; Thought Leadership: Represent Anthropic&#39;s technical vision to the insurance industry through conference keynotes, executive briefings, whitepapers, and industry advisory boards. Establish Claude as the leading AI platform for P&amp;C, Life, and Reinsurance markets.</li>\n</ul>\n<ul>\n<li>Strategic Customer Engagement: Serve as executive technical sponsor for strategic insurance accounts, engaging CIOs, CTOs, Chief Underwriting Officers, Chief Claims Officers, and Heads of AI/ML on enterprise AI strategy. Build peer-to-peer relationships that position Anthropic as a strategic transformation partner.</li>\n</ul>\n<ul>\n<li>Product Partnership &amp; Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities. Partner closely with Product and Research to develop insurance-specific capabilities including model governance, explainability, audit logging, and regulatory compliance features.</li>\n</ul>\n<ul>\n<li>Pricing &amp; Commercial Strategy: Contribute to pricing and packaging decisions with insurance market insight. Understand value drivers for different insurance segments, competitive positioning, and deal structuring that aligns with how insurers buy technology.</li>\n</ul>\n<ul>\n<li>Internal Enablement &amp; Advocacy: Train and uplift Anthropic&#39;s GTM teams on insurance domain expertise, use cases, and buyer personas. Create enablement content, conduct training sessions, and serve as the internal authority on all things insurance. Influence without authority across the organisation.</li>\n</ul>\n<ul>\n<li>Regulatory &amp; Compliance Navigation: Partner internally and externally to develop thought leadership regarding AI governance frameworks aligned with state insurance regulations, NAIC guidelines, and international requirements. Help customers understand model risk management, explainability requirements, and responsible AI practices for insurance.</li>\n</ul>\n<ul>\n<li>Ecosystem Partnership: Build technical relationships with GSIs (Deloitte, Accenture, McKinsey), cloud providers (AWS, Azure, GCP), and insurance technology vendors (Guidewire, Duck Creek, Majesco).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Have 20+ years of experience in technology and/or business roles with at least 8 years in senior leadership positions (CTO, VP Engineering, Chief Architect, Chief Underwriting Officer, Head of Claims Technology, Distinguished Engineer) in insurance</li>\n</ul>\n<ul>\n<li>Have deep domain expertise across multiple insurance segments,P&amp;C (personal and commercial lines), Life &amp; Annuities, or Reinsurance,with hands-on experience building or operating mission-critical systems</li>\n</ul>\n<ul>\n<li>Have a strong understanding of AI/ML technologies including large language models, with the ability to engage credibly on technical architecture, model behaviour, and system design</li>\n</ul>\n<ul>\n<li>Have established executive networks across insurance technology leadership (CIOs, CTOs, Chief Underwriting Officers) and credibility as a thought leader in the industry</li>\n</ul>\n<ul>\n<li>Have deep knowledge of insurance regulatory requirements (state insurance regulations, NAIC model laws, Solvency II, Lloyd&#39;s requirements) and experience implementing compliant technology solutions</li>\n</ul>\n<ul>\n<li>Are skilled at translating complex technical concepts into business value propositions that resonate with both technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Have experience influencing product roadmaps based on customer feedback and market requirements, working effectively with Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Are passionate about responsible AI development and Anthropic&#39;s mission, with a commitment to helping insurers adopt AI safely and beneficially</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. 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We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.</p>\n<p><strong>About the Role</strong></p>\n<p>The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.</p>\n<p>This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation</li>\n</ul>\n<ul>\n<li>Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio</li>\n</ul>\n<ul>\n<li>Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them</li>\n</ul>\n<ul>\n<li>Identify and validate use cases by embedding with customer teams to understand workflows and pain points</li>\n</ul>\n<ul>\n<li>Lead account level coordination across multiple workstreams, including new product activation, change 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Engineer","description":"<p><strong>AI Success Engineer - San Francisco</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$162K – $240K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.</p>\n<p>Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.</p>\n<p><strong>About the Role</strong></p>\n<p>The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.</p>\n<p>This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.</p>\n<p>You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation</li>\n</ul>\n<ul>\n<li>Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio</li>\n</ul>\n<ul>\n<li>Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them</li>\n</ul>\n<ul>\n<li>Identify and validate use cases by embedding with customer teams to understand workflows and pain points</li>\n</ul>\n<ul>\n<li>Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning</li>\n</ul>\n<ul>\n<li>Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities</li>\n</ul>\n<ul>\n<li>Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs</li>\n</ul>\n<ul>\n<li>Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes</li>\n</ul>\n<ul>\n<li>Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting</li>\n</ul>\n<ul>\n<li>Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement</li>\n</ul>\n<ul>\n<li>Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business</li>\n</ul>\n<ul>\n<li>Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.</li>\n</ul>\n<p><strong>You’ll thrive in this role if you:</strong></p>\n<ul>\n<li>8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work</li>\n</ul>\n<ul>\n<li>Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and co</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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