{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/data-transformation-tools"},"x-facet":{"type":"skill","slug":"data-transformation-tools","display":"Data Transformation Tools","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_df625390-342"},"title":"AI Analytics Engineer (Marketing Analytics)","description":"<p>We&#39;re seeking an AI Analytics Engineer to join our Data Science &amp; Analytics team. As a high-impact, early-career role, you will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.</p>\n<p>You will design and maintain trustworthy data models for core marketing metrics, manage the full lifecycle from prototyping through production, and develop and govern dbt data pipelines. You will also build and optimize dashboards that deliver real-time, self-serve insights across high-priority marketing areas, drive data independence for Marketing stakeholders, and collaborate with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.</p>\n<p>You will serve as the primary data partner for marketing managers, demand generation teams, and leadership, translating complex data insights into clear business recommendations via dashboards, memos, and presentations. You will achieve a comprehensive mastery of Airtable&#39;s marketing data models, existing pipelines, and BI tools within the first 6 months, becoming the definitive internal expert.</p>\n<p>This is a genuinely AI-native role, requiring active, demonstrated daily use of AI coding tools such as Cursor, Claude, ChatGPT, and Gemini. You must provide specific, concrete examples of how these tools are integral to your work, moving beyond simple familiarity.</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_df625390-342","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airtable","sameAs":"https://airtable.com/","logo":"https://logos.yubhub.co/airtable.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airtable/jobs/8434307002","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Expert-level SQL","Proficiency with dbt or equivalent data transformation tools","Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar)","Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini)","Mandatory use of GitHub for version control in a standard development workflow"],"x-skills-preferred":["Python for data work (pandas, ETL scripting, or analysis)","Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance","Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo)","Experience with Databricks or cloud data warehouses","A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle)"],"datePosted":"2026-04-18T15:56:13.818Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Austin, TX; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Expert-level SQL, Proficiency with dbt or equivalent data transformation tools, Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar), Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini), Mandatory use of GitHub for version control in a standard development workflow, Python for data work (pandas, ETL scripting, or analysis), Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance, Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo), Experience with Databricks or cloud data warehouses, A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b1fa4435-fc2"},"title":"Business Systems Analyst, Data Enrichment","description":"<p>We are seeking a Business Systems Analyst, Data Enrichment to own and drive the strategy, architecture, and execution of our data enrichment ecosystem. This role sits at the intersection of Revenue Operations, Data Engineering, and Go-to-Market strategy, and is responsible for building and maintaining a best-in-class enrichment infrastructure that delivers a reliable, comprehensive source of truth for company and contact data across global markets.</p>\n<p>You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes,including platforms like Clay, Dun &amp; Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritize, and close business.</p>\n<p>This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modeling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun &amp; Bradstreet, ZoomInfo, and emerging providers</li>\n</ul>\n<ul>\n<li>Build and maintain a unified enrichment master,a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets</li>\n</ul>\n<ul>\n<li>Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximize coverage, accuracy, and cost efficiency while minimizing redundancy</li>\n</ul>\n<ul>\n<li>Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)</li>\n</ul>\n<ul>\n<li>Hands-on data manipulation and transformation,write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale</li>\n</ul>\n<ul>\n<li>Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements</li>\n</ul>\n<ul>\n<li>Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes</li>\n</ul>\n<ul>\n<li>Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring</li>\n</ul>\n<ul>\n<li>Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact,using metrics to continuously improve the enrichment ecosystem</li>\n</ul>\n<ul>\n<li>Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement</li>\n</ul>\n<ul>\n<li>Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment</li>\n</ul>\n<ul>\n<li>Deep expertise with enrichment platforms such as Clay, Dun &amp; 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However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>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’re interested in this work. We think AI systems like the 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_b1fa4435-fc2","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/5127289008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$270,000 USD","x-skills-required":["data enrichment","data operations","revenue/marketing operations","enrichment tools","enrichment strategy","salesforce","sql","data warehouses","etl/reverse etl pipelines","apis","data transformation tools","product ownership","roadmaps","backlogs","stakeholder priorities","technical requirements","cross-functional teams","data science","data engineering","infrastructure","schema design","pipeline and territory optimization","communication skills","technical and business audiences","stakeholder discovery sessions","present enrichment strategy and impact to leadership"],"x-skills-preferred":["ai-powered enrichment","llms","prompt-based enrichment","emerging companies","startups","hard-to-enrich segments","data quality","mdm frameworks","routing and scoring tools","marketing automation platforms","startup signal detection"],"datePosted":"2026-04-18T15:35:39.147Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data enrichment, data operations, revenue/marketing operations, enrichment tools, enrichment strategy, salesforce, sql, data warehouses, etl/reverse etl pipelines, apis, data transformation tools, product ownership, roadmaps, backlogs, stakeholder priorities, technical requirements, cross-functional teams, data science, data engineering, infrastructure, schema design, pipeline and territory optimization, communication skills, technical and business audiences, stakeholder discovery sessions, present enrichment strategy and impact to leadership, ai-powered enrichment, llms, prompt-based enrichment, emerging companies, startups, hard-to-enrich segments, data quality, mdm frameworks, routing and scoring tools, marketing automation platforms, startup signal detection","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b8499f8-a97"},"title":"Member of Compliance, Financial Crimes Compliance Data Analytics","description":"<p>At Anchorage Digital, we are seeking a highly motivated and intellectually curious Member of Compliance, Financial Crimes Compliance Data Analytics with a strong data analysis background.</p>\n<p>As a vital member of the Compliance team, you will have the opportunity to support the design, implementation, and optimization of compliance programs across all applicable Anchorage Digital legal entities.</p>\n<p>You will work closely with various compliance functions, particularly Financial Crimes Compliance, to drive efficiency and effectiveness within the program.</p>\n<p>Your expertise will be critical in transforming raw data into actionable insights, driving process improvements, and leveraging technology to enhance our overall compliance posture.</p>\n<p>This role is ideal for a proactive and &#39;young and hungry&#39; 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ask clarifying questions to scope ambiguous requests and push back constructively when requirements are unclear, proposing alternative approaches.</li>\n</ul>\n<ul>\n<li>Present findings and data insights with appropriate context, visual aids, and tailored communication style</li>\n</ul>\n<p><strong>You may be a fit for this role if you have:</strong></p>\n<ul>\n<li>Experience: 2–3 years of experience in a data analytics or data science role, with a strong understanding of blockchain, cryptocurrency, and the financial services industry.</li>\n</ul>\n<ul>\n<li>Technical Proficiency: Demonstrated ability to operate autonomously to manage multiple competing priorities.</li>\n</ul>\n<ul>\n<li>Automation &amp; AI Aptitude: Experience with or a strong interest in automation principles, leveraging existing AI tools, and exploring new AI tools (such as AI Agents) to enhance productivity.</li>\n</ul>\n<ul>\n<li>Technologist Mindset: While not necessarily an engineer, a strong understanding of how systems, data flows, and technologies interact is essential.</li>\n</ul>\n<ul>\n<li>Eagerness to learn and apply new technologies.</li>\n</ul>\n<p><strong>Although not a requirement, bonus points if:</strong></p>\n<ul>\n<li>Prior experience in the financial service industry, crypto industry, start-up, or a fast-paced, evolving environment where you&#39;ve worn multiple hats and adapted quickly;</li>\n</ul>\n<ul>\n<li>General understanding of regulatory compliance, financial crimes, and risk management.</li>\n</ul>\n<ul>\n<li>Experience with data transformation tools like dbt or similar; 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This role is pivotal in scaling our projects across various asset classes and front-to-back Aladdin services, employing Aladdin’s Studio platform and its robust capabilities in data integration and onboarding – which include file-based mechanisms, APIs, and the Aladdin Data Cloud. This is a client-facing position offering an opportunity to collaborate with a broad range of internal stakeholders at BlackRock.</p>\n<p>Main Function</p>\n<p>As an Integration Solutions Specialist for the Aladdin Platform, you will play a crucial role on Aladdin client projects in orchestrating specific technology channels that cover client activities related to data integration and data conversion or onboarding. You will be responsible for driving our project channels, providing best practice guidance to our clients’ technology teams, and supporting those teams as they build their integration and transition their data to our platform. 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Your expertise will be instrumental in securing an on-time and on-budget project outcome.</p>\n<p>Responsibilities</p>\n<p>Your key responsibilities will include:</p>\n<ul>\n<li><p>Own and manage Aladdin channels across Data Interfaces, Data Conversions, and Data Cloud (ADC) Deployments</p>\n</li>\n<li><p>Liaise with relevant client counterparts, including senior technology managers responsible for delivering the required integration and migration builds</p>\n</li>\n<li><p>Work with client teams to create the necessary plans and trackers, and coordinate resources and updates</p>\n</li>\n<li><p>Lead future state architecture sessions with client teams, to drive project scope and identify challenges</p>\n</li>\n<li><p>Lead and assist in interface design and data mapping sessions, support client development needs</p>\n</li>\n<li><p>Support the enablement of our clients working with Aladdin Studio technology and Aladdin data</p>\n</li>\n<li><p>Gain an in-depth knowledge of Aladdin functionality and workflows to ensure the correct integration solutions are deployed and utilized</p>\n</li>\n<li><p>Work closely with partners across the Aladdin business and platform to support client development needs</p>\n</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li><p>Bachelor’s or Master’s degree in engineering, Computer Sciences, Mathematics, or a related quantitative field</p>\n</li>\n<li><p>Fluency in English and excellent communication skills, with the ability to convey concepts clearly and simply</p>\n</li>\n<li><p>Experience with financial systems integration, cloud-based computing, or automation tools and methodologies</p>\n</li>\n<li><p>Understanding of finance and public or private markets, the investment lifecycle, and associated workflows</p>\n</li>\n<li><p>Demonstrated problem-solving prowess and a proactive mindset</p>\n</li>\n<li><p>Well-organized with strong project management capabilities</p>\n</li>\n<li><p>Ability to work collaboratively and independently within a team environment</p>\n</li>\n<li><p>Proficiency in SQL and a working knowledge of ETL processes is a must have</p>\n</li>\n<li><p>Familiarity with programming languages such as Python or R, APIs, and data transformation tools such as Alteryx Designer, is highly regarded</p>\n</li>\n</ul>\n<p>Our benefits</p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p>Our hybrid work model</p>\n<p>BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p>\n<p>About BlackRock</p>\n<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</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_bc13ad37-8f9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/g8YUpXA9aV6CnPMQkdnvSM/act-integration-solutions-specialist-%E2%80%93-aladdin-platform%2C-associate-in-edinburgh-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data integration","data conversion","Aladdin Studio platform","SQL","ETL processes","Python","R","APIs","data transformation tools"],"x-skills-preferred":["financial systems integration","cloud-based computing","automation tools and methodologies","Alteryx Designer"],"datePosted":"2026-03-09T16:42:55.570Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edinburgh"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"data integration, data conversion, Aladdin Studio platform, SQL, ETL processes, Python, R, APIs, data transformation tools, financial systems integration, cloud-based computing, automation tools and methodologies, Alteryx Designer"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9475bb73-df7"},"title":"Product Owner, Enrichment","description":"<p><strong>About Anthropic</strong></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><strong>About the role</strong></p>\n<p>We are looking for a Product Owner, Enrichment to own and drive the strategy, architecture, and execution of our data enrichment ecosystem. This role sits at the intersection of Revenue Operations, Data Engineering, and Go-to-Market strategy, and is responsible for building and maintaining a best-in-class enrichment infrastructure that delivers a reliable, comprehensive source of truth for company and contact data across global markets.</p>\n<p>You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes—including platforms like Clay, Dun &amp; Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritise, and close business.</p>\n<p>This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modelling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun &amp; Bradstreet, ZoomInfo, and emerging providers</li>\n</ul>\n<ul>\n<li>Build and maintain a unified enrichment master—a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets</li>\n</ul>\n<ul>\n<li>Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximise coverage, accuracy, and cost efficiency while minimising redundancy</li>\n</ul>\n<ul>\n<li>Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)</li>\n</ul>\n<ul>\n<li>Hands-on data manipulation and transformation—write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale</li>\n</ul>\n<ul>\n<li>Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements</li>\n</ul>\n<ul>\n<li>Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes</li>\n</ul>\n<ul>\n<li>Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring</li>\n</ul>\n<ul>\n<li>Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact—using metrics to continuously improve the enrichment ecosystem</li>\n</ul>\n<ul>\n<li>Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement</li>\n</ul>\n<ul>\n<li>Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment</li>\n</ul>\n<ul>\n<li>Deep expertise with enrichment platforms such as Clay, Dun &amp; Bradstreet (D-U-N-S, Data Blocks, hierarchies), ZoomInfo, Clearbit, People Data Labs, or comparable providers, including experience building waterfall enrichment workflows and enrichment masters</li>\n</ul>\n<ul>\n<li>Strong Salesforce experience (required)—including data modelling for enrichment (custom objects, account hierarchies, parent-child relationships), integration architecture, and understanding of how enrichment data flows through the CRM to support GTM processes</li>\n</ul>\n<ul>\n<li>Hands-on technical skills for data manipulation including SQL proficiency, experience with data warehouses (Snowflake, BigQuery, or similar), and comfort working with ETL/reverse ETL pipelines, APIs, and data transformation tools</li>\n</ul>\n<ul>\n<li>Strong product ownership mindset with experience managing roadmaps, backlogs, and stakeholder priorities—able to translate business needs into technical requirements and drive execution across cross-functional teams</li>\n</ul>\n<ul>\n<li>Dual data + RevOps mindset—equally comfortable working with Data Science and Data Engineering on infrastructure and schema design as you are partnering with Sales and GTM teams on pipeline and territory optimisation</li>\n</ul>\n<ul>\n<li>Excellent communication skills to bridge technical and business audiences, lead stakeholder discovery sessions, and present enrichment strategy and impact to leadership</li>\n</ul>\n<p><strong>Strong candidates may have:</strong></p>\n<ul>\n<li>Experience building or leveraging AI-powered enrichment prompts (e.g., using LLMs to research and enrich company data, identify signals, or fill gaps where traditional providers lack coverage)</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_9475bb73-df7","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/5127289008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data enrichment","data operations","revenue/marketing operations","enrichment tools","data sources","platforms like Clay, Dun & Bradstreet, ZoomInfo","Salesforce","data modelling","integration architecture","SQL","data warehouses","ETL/reverse ETL pipelines","APIs","data transformation tools","product ownership","roadmaps","backlogs","stakeholder priorities","data science","data engineering","infrastructure","schema design","communication","technical and business audiences"],"x-skills-preferred":["AI-powered enrichment","LLMs","prompt-based enrichment","emerging companies","startups","hard-to-enrich segments"],"datePosted":"2026-03-08T14:01:25.925Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data enrichment, data operations, revenue/marketing operations, enrichment tools, data sources, platforms like Clay, Dun & Bradstreet, ZoomInfo, Salesforce, data modelling, integration architecture, SQL, data warehouses, ETL/reverse ETL pipelines, APIs, data transformation tools, product ownership, roadmaps, backlogs, stakeholder priorities, data science, data engineering, infrastructure, schema design, communication, technical and business audiences, AI-powered enrichment, LLMs, prompt-based enrichment, emerging companies, startups, hard-to-enrich segments"}]}