{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/customer-data-platforms"},"x-facet":{"type":"skill","slug":"customer-data-platforms","display":"Customer Data Platforms","count":10},"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_477d343e-e37"},"title":"Customer Success Architect","description":"<p>About Mixpanel</p>\n<p>Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees.</p>\n<p>About the Customer Success Team:</p>\n<p>Mixpanel’s Customer Success &amp; Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customers’ business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.</p>\n<p>You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help the customer manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.</p>\n<p>About the Role:</p>\n<p>As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation, where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel, including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics.</p>\n<p>For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.</p>\n<p>Responsibilities:</p>\n<p>Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes</p>\n<p>Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks</p>\n<p>Own the customer’s success with Mixpanel , documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics</p>\n<p>Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration</p>\n<p>Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust</p>\n<p>Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices</p>\n<p>Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects</p>\n<p>Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues</p>\n<p>Bridge the technical-business gap with your customers , working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision</p>\n<p>Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects</p>\n<p>Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients</p>\n<p>We&#39;re Looking For Someone Who Has</p>\n<p>3 to 5 years of experience consulting on defining and delivering ROI through new tool implementations</p>\n<p>Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision</p>\n<p>The ability to communicate with stakeholders at most levels of an organization , from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency</p>\n<p>Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change</p>\n<p>Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role</p>\n<p>Excellent written, analytical, and communication skills</p>\n<p>Strong process and/or project delivery discipline</p>\n<p>Eager to learn new technologies and adapt to evolving customer needs</p>\n<p>We&#39;d Be Extra Excited For Someone Who Has</p>\n<p>Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.</p>\n<p>Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.</p>\n<p>Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.</p>\n<p>Familiar with analytics best practices across business segments and verticals</p>\n<p>Benefits and Perks</p>\n<p>Comprehensive Medical, Vision, and Dental Care</p>\n<p>Mental Wellness Benefit</p>\n<p>Generous Vacation Policy &amp; Additional Company Holidays</p>\n<p>Enhanced Parental Leave</p>\n<p>Volunteer Time Off</p>\n<p>Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break</p>\n<p>Culture Values</p>\n<p>Make Bold Bets: We choose courageous action over comfortable progress.</p>\n<p>Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.</p>\n<p>One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.</p>\n<p>Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.</p>\n<p>Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.</p>\n<p>Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.</p>\n<p>Why choose Mixpanel?</p>\n<p>We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.</p>\n<p>Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.</p>\n<p>Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.</p>\n<p>Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.</p>\n<p>Mixpanel is an equal opportunity employer supporting workforce diversity.</p>\n<p>At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.</p>\n<p>We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.</p>\n<p>We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, or any other protected characteristic.</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_477d343e-e37","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mixpanel","sameAs":"https://mixpanel.com","logo":"https://logos.yubhub.co/mixpanel.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mixpanel/jobs/7506821","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data architecture","governance","instrumentation","business outcomes","data querying","modeling","transforming","SQL","dbt","Python","Business Intelligence tools","Product Analytics tools"],"x-skills-preferred":["databases","cloud data warehouses","Google Cloud","Amazon Redshift","Microsoft Azure","Snowflake","Databricks","SDKs","Customer Data Platforms","Event Streaming","Reverse ETL"],"datePosted":"2026-04-18T15:57:25.195Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India (Hybrid)"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data architecture, governance, instrumentation, business outcomes, data querying, modeling, transforming, SQL, dbt, Python, Business Intelligence tools, Product Analytics tools, databases, cloud data warehouses, Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, SDKs, Customer Data Platforms, Event Streaming, Reverse ETL"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b3cf0ff9-4c6"},"title":"Support Engineer II","description":"<p>About Mixpanel</p>\n<p>Mixpanel turns data clarity into innovation. 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Additional Company Holidays</p>\n<p>Enhanced Parental Leave</p>\n<p>Volunteer Time Off</p>\n<p>Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break</p>\n<p>Culture Values</p>\n<p>Make Bold Bets: We choose courageous action over comfortable progress.</p>\n<p>Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.</p>\n<p>One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.</p>\n<p>Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.</p>\n<p>Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.</p>\n<p>Why choose Mixpanel?</p>\n<p>We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.</p>\n<p>Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.</p>\n<p>Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.</p>\n<p>Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.</p>\n<p>Mixpanel is an equal opportunity employer supporting workforce diversity.</p>\n<p>At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.</p>\n<p>We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.</p>\n<p>We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.</p>\n<p>Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records.</p>\n<p>We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.</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_b3cf0ff9-4c6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mixpanel","sameAs":"https://mixpanel.com","logo":"https://logos.yubhub.co/mixpanel.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mixpanel/jobs/7650541","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["customer facing SAAS support","technical concepts","problem-solving","programming experience","web & mobile technologies","APIs","debugging","collaboration","SLA based support","dedicated support","Hebrew","English"],"x-skills-preferred":["Mixpanel","analytics tools","databases","cloud data warehouses","product analytics implementation methods","SDKs","Customer Data Platforms","Event Streaming","Reverse ETL"],"datePosted":"2026-04-18T15:57:10.436Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv, Israel (Hybrid)"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"customer facing SAAS support, technical concepts, problem-solving, programming experience, web & mobile technologies, APIs, debugging, collaboration, SLA based support, dedicated support, Hebrew, English, Mixpanel, analytics tools, databases, cloud data warehouses, product analytics implementation methods, SDKs, Customer Data Platforms, Event Streaming, Reverse ETL"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6b0c92b4-c05"},"title":"Sr. Manager, Field Engineering","description":"<p>We are looking for a dynamic Sr. Manager, Field Engineering to lead a team of Solution Architects within our Retail vertical. 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For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.</p>\n<p>What We Offer:</p>\n<p>Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.</p>\n<p>Compensation:</p>\n<p>*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows:</p>\n<p>Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $106,320 - $132,900. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $112,560 - $140,700. Based in the San Francisco Bay area, California: $125,040 - $156,300.</p>\n<p>This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.</p>\n<p>Application deadline information:</p>\n<p>Applications for this role are intended to be accepted until April 30, 2026, but may change based on business needs.</p>\n<p>Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn&#39;t what you&#39;re looking for, please consider other open positions.</p>\n<p>Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.</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_72260a13-6ce","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7736718","x-work-arrangement":"remote","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Google Analytics 4","JavaScript","HTML","Browser dev tools","Google Tag Manager","A/B and multivariate testing frameworks","Web personalization","Communication skills","Analytical skills","Data analysis","Insights","Storytelling","Actionable recommendations"],"x-skills-preferred":["Big Query","Adobe AEM","Adobe Target","Fraud monitoring tools","Looker Studio","Tableau","Customer Data Platforms","Analytics data integrations"],"datePosted":"2026-04-18T15:43:43.988Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Google Analytics 4, JavaScript, HTML, Browser dev tools, Google Tag Manager, A/B and multivariate testing frameworks, Web personalization, Communication skills, Analytical skills, Data analysis, Insights, Storytelling, Actionable recommendations, Big Query, Adobe AEM, Adobe Target, Fraud monitoring tools, Looker Studio, Tableau, Customer Data Platforms, Analytics data integrations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_32a63583-c9b"},"title":"Sr. Analyst, Strategic Measurement","description":"<p>At Twilio, we&#39;re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.\\n\\nOur dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.\\n\\nAs we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding.\\n\\nJoin the team as Twilio’s next Sr. Analyst, Strategic Measurement.\\n\\nAbout the job\\n\\nWe are actively recruiting for this role to fill an existing vacancy. This position is needed to serve as the &quot;New Frontiers&quot; lead for the Marketing Strategy, Analytics &amp; Innovation team, focusing on ambiguous, highly strategic emerging channels, potential programs &amp; measurement optimization/instrumentation.\\n\\nYou will be responsible for defining, measuring, and accelerating our growth in new digital landscapes, specifically focusing on AI Engine Optimization (AEO), brand measurement and advanced attribution frameworks.\\n\\nPartnering closely with the global marketing analytics teams, Brand, Demand Gen, PR, Content, and Developer Network teams, you will execute against high-visibility objectives enabling marketing&#39;s business impact to executive leadership.\\n\\nIdeally, this position has a strong statistical background, a substantial capacity for hypothesis-driven thinking, and the ability to deliver &quot;unmistakable clarity&quot; in complex executive presentations.\\n\\nResponsibilities\\n\\nIn this role, you’ll:\\n\\nAnalyse LLM visibility and Share of Voice, create a continuous feedback loop across various teams to optimise Twilio&#39;s presence in AI search/AEO (answer engine optimisation), drive enablement and operational efforts to ensure consistent tool usage and storyline.\\n\\nSupport the strategy, data ingestion, and modelling required to build and maintain net new and existing brand measurement components. Drive a single, cohesive narrative combining disparate data sets.\\n\\nInspire experimentation adoption in teams. Build the frameworks and structure to drive experimentation rigor and clarity of incrementally of marketing initiatives.\\n\\nSupport Media Mix Modelling (MMM) and Multi-Touch Attribution (MTA) initiatives to understand the impact of various marketing channels on Sign Ups, SQLs, activations, and guide budget allocation.\\n\\nTranslate complex data sets into actionable insights and strategic recommendations for exec-level audiences.\\n\\nOwn enablement efforts for emerging channels, sharing accomplishments, KPIs, and cross-team collaborations broadly across the marketing organisation.\\n\\nQualifications\\n\\nTwilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.\\n\\nIf your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio.\\n\\nWe are always looking for people who will bring something new to the table!\\n\\n* Required:\\n\\n5+ years of experience in statistical analysis, experimentation and/or scenario planning.\\n\\nA strong understanding of SEO and emerging AI Search (AEO/GEO) landscapes.\\n\\nA hypothesis-driven thinker who does not just report the “what,” but actively tests the “why”. Able to formulate testable guesses and distill the essential from complex marketing data.\\n\\nExperience with running or interpreting advanced measurement frameworks (Incrementality, MMM, MTA).\\n\\nHighly reliable and a self-starter.\\n\\nInterest or experience in applying AI-driven solutions to analytics workflows.\\n\\nStrong communication skills with the ability to communicate effectively with both technical and non-technical audiences\\n\\nDetail-oriented with a passion for clean, trustworthy data.\\n\\nStrong analytical skills.\\n\\nExcellent collaborator across cross-functional teams; skilled in managing stakeholder projects end-to-end.\\n\\nDesired:\\n\\nExperience supporting various stakeholder functions and their insights: Brand, PR, Social, Content, Demand Generation\\n\\nExperience with BI tools (Tableau, Looker Studio) and modelling (ROI, LTV:CAC, payback).\\n\\nInterest or exposure to fraud monitoring tools and processes.\\n\\nWorking knowledge of Customer Data Platforms (CDPs) and analytics data integrations.\\n\\nLocation\\n\\nThis role will be remote, and based in Alberta, British Columbia, or Ontario, Canada.\\n\\nTravel\\n\\nWe prioritise connection and opportunities to build relationships with our customers and each other.\\n\\nFor this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.\\n\\nWhat We Offer\\n\\nWorking at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings programme, and much more.\\n\\nOfferings vary by location.\\n\\nBased on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programmes, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.\\n\\nThe estimated pay ranges for this role are as follows:\\n\\n$90,800 - $113,500 CAD\\n\\nTarget Bonus Percentage 12.50%\\n\\nThe successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.\\n\\nTwilio thinks big. Do you?\\n\\nWe like to solve problems, take initiative, pitch in when needed, and are always up for trying new things.\\n\\nThat&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic.\\n\\nAdditionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.\\n\\nSo, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!\\n\\nIf this role isn’t what you’re looking for, please consider other open positions.\\n\\nTwilio is proud to be an equal opportunity employer.\\n\\nWe do not discriminate based upon race, religion, colour, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.\\n\\nWe also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.\\n\\nQualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.\\n\\nAdditionally, Twilio participates in the E-Verify programme in certain locations, as required by law.</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_32a63583-c9b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7736722","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$90,800 - $113,500 CAD","x-skills-required":["statistical analysis","experimentation","scenario planning","SEO","AI Search (AEO/GEO) landscapes","hypothesis-driven thinking","advanced measurement frameworks","Incrementality","Media Mix Modelling (MMM)","Multi-Touch Attribution (MTA)","communication skills","data analysis","clean, trustworthy data","analytical skills","collaboration","project management"],"x-skills-preferred":["BI tools (Tableau, Looker Studio)","modelling (ROI, LTV:CAC, payback)","fraud monitoring tools and processes","Customer Data Platforms (CDPs)","analytics data integrations"],"datePosted":"2026-04-18T15:41:42.004Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"statistical analysis, experimentation, scenario planning, SEO, AI Search (AEO/GEO) landscapes, hypothesis-driven thinking, advanced measurement frameworks, Incrementality, Media Mix Modelling (MMM), Multi-Touch Attribution (MTA), communication skills, data analysis, clean, trustworthy data, analytical skills, collaboration, project management, BI tools (Tableau, Looker Studio), modelling (ROI, LTV:CAC, payback), fraud monitoring tools and processes, Customer Data Platforms (CDPs), analytics data integrations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":90800,"maxValue":113500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_630a981c-b19"},"title":"Digital Marketing Architect - Consumer Goods, Retail and Logistics - Germany","description":"<p>Boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients&#39; most important challenges. We are growing and are looking for people to join our team.</p>\n<p>The Role --------</p>\n<p>We are seeking a visionary and experienced Digital Marketing Architect to design, build, and optimize our digital marketing technology stack. You will be the central owner of our MarTech blueprint, ensuring all platforms work in harmony to support our omnichannel retail strategy.</p>\n<p>Key Responsibilities -------------------</p>\n<p><strong>MarTech Stack Architecture</strong></p>\n<p>Design and govern the end-to-end architecture of our marketing technology stack, including our Customer Data Platform (CDP), e-commerce platform, personalization engine, loyalty platform, and campaign management tools.</p>\n<p><strong>Omnichannel Customer Journey Design</strong></p>\n<p>Architect the data flows and system integrations necessary to create a unified 360-degree customer view, connecting data from online touchpoints (website, app) and offline systems (Point-of-Sale, in-store events).</p>\n<p><strong>Data &amp; Personalization Strategy</strong></p>\n<p>In collaboration with the data team, design the marketing data model within our CDP. Architect solutions that leverage this data to deliver real-time, personalized content, product recommendations, and offers across all digital channels.</p>\n<p><strong>Technology Evaluation &amp; Roadmap</strong></p>\n<p>Lead the discovery, evaluation, and selection of new marketing technologies. Develop and maintain a multi-year MarTech roadmap that aligns with strategic business objectives for growth and customer experience.</p>\n<p><strong>Collaboration &amp; Enablement</strong></p>\n<p>Work closely with brand marketers, e-commerce managers, and CRM specialists to understand their needs and translate them into technical requirements and solutions. Empower teams by ensuring the technology is effective and user-friendly.</p>\n<p>Qualifications &amp; Skills ----------------------</p>\n<p><strong>Experience</strong></p>\n<p>8+ years in digital marketing technology, marketing operations, or solutions architecture. Direct experience within the retail or e-commerce industry is essential.</p>\n<p><strong>MarTech Platform Expertise</strong></p>\n<p>Proven hands-on experience architecting and integrating core retail marketing platforms:</p>\n<ul>\n<li>Customer Data Platforms (CDP): e.g., Segment, Tealium, Bloomreach</li>\n<li>E-commerce Platforms: e.g., Shopify Plus, Salesforce Commerce Cloud, Magento (Adobe Commerce), Commercetools</li>\n<li>Marketing/CRM Platforms: e.g., Salesforce Marketing Cloud, Braze, Emarsys</li>\n<li>Personalization Engines: e.g., Dynamic Yield, Klevu, Nosto</li>\n</ul>\n<p><strong>Technical Proficiency</strong></p>\n<ul>\n<li>Strong understanding of APIs (REST, GraphQL) and data integration patterns.</li>\n<li>Proficiency in SQL for data validation and analysis.</li>\n<li>Solid understanding of data modeling, schema design, and identity resolution concepts.</li>\n<li>Familiarity with web technologies (JavaScript, HTML, CSS) and tag management systems (Google Tag Manager).</li>\n</ul>\n<p><strong>Retail Business Acumen</strong></p>\n<p>Deep understanding of key retail metrics (e.g., Customer Lifetime Value - CLV, Conversion Rate, Average Order Value - AOV) and the ability to connect technology solutions to business outcomes.</p>\n<p>Preferred Qualifications ----------------------</p>\n<ul>\n<li>Experience with headless commerce and composable architecture.</li>\n<li>Familiarity with loyalty program platforms and their integration.</li>\n<li>Knowledge of Digital Asset Management (DAM) and Product Information Management (PIM) systems.</li>\n<li>Experience in both B2C and D2C retail environments.</li>\n<li>Professional fluency in German is a strong asset.</li>\n</ul>\n<p>About your team ----------------</p>\n<p>Our CRL (Consumer Goods, retail &amp; Logistics) practice helps some of the largest global firms and most recognizable local brands solve their biggest challenges in today’s age of constant disruption. With diverse services spanning growth strategy and new product innovation, to omni-channel customer experience, supply chain resiliency and AI-driven new business models, we help clients shape and achieve their growth agenda for a sustainable future.</p>\n<p>About Infosys Consulting -------------------------</p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.</p>\n<p>Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.</p>\n<p>We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal goals. Curious to learn more? We’d love to hear from you.... Apply today!</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_630a981c-b19","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/d8M3v8FZmkKSxx3yZUqYJ7/hybrid-digital-marketing-architect---consumer-goods%2C-retail-and-logistics---germany-in-munich-at-infosys-consulting---europe","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Customer Data Platforms (CDP)","E-commerce Platforms","Marketing/CRM Platforms","Personalization Engines","APIs (REST, GraphQL)","SQL","Data modeling","Schema design","Identity resolution","Web technologies (JavaScript, HTML, CSS)","Tag management systems (Google Tag Manager)","Retail business acumen"],"x-skills-preferred":["Headless commerce and composable architecture","Loyalty program platforms","Digital Asset Management (DAM)","Product Information Management (PIM) systems","B2C and D2C retail environments","German language"],"datePosted":"2026-03-09T16:55:42.776Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Bavaria, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Consulting","skills":"Customer Data Platforms (CDP), E-commerce Platforms, Marketing/CRM Platforms, Personalization Engines, APIs (REST, GraphQL), SQL, Data modeling, Schema design, Identity resolution, Web technologies (JavaScript, HTML, CSS), Tag management systems (Google Tag Manager), Retail business acumen, Headless commerce and composable architecture, Loyalty program platforms, Digital Asset Management (DAM), Product Information Management (PIM) systems, B2C and D2C retail environments, German language"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3487a0dd-b87"},"title":"Associate, Data Engineer","description":"<p><strong>Associate, Data Engineer at BlackRock</strong></p>\n<p>About this role</p>\n<p>BlackRock is looking for a data engineer to join the Digital Data Engineering team. In this role, you will help develop data integrations between BlackRock’s internal data systems and our external marketing technology platforms. You will work with business partners to develop data structures, build ETL pipelines, and implement appropriate data governance and monitoring.</p>\n<p>As part of BlackRock’s Digital organization, this role supports our mission to create AI-enabled, personalized and scalable marketing experiences. You will build the data foundations that power next generation digital platforms, audience personalization, and intelligent activation across a global ecosystem.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build scalable data pipelines that support AI-enabled digital experiences, personalization, and marketing automation.</li>\n<li>Leverage AI-driven development and testing tools to increase engineering quality, speed, and reliability.</li>\n<li>Contribute to ongoing platform modernization efforts across Martech, content, analytics, and web ecosystems.</li>\n<li>Collaborate with cross-functional stakeholders to ensure data is structured and governed in ways that accelerate downstream personalization and analytics use cases.</li>\n<li>Architect and develop data solutions to bring new datasets into digital ecosystem including Private Markets data and product data.</li>\n</ul>\n<p><strong>Core Skills</strong></p>\n<ul>\n<li>You have flawless written and verbal communication and ability to gain buy-in on plans from a non-technical audience</li>\n<li>You have experience working with a broad set of stakeholders, including non-technical and non-quantitative people.</li>\n<li>You are comfortable using AI tools to enhance development workflows, such as prototyping, testing, documentation, and data validation.</li>\n<li>You have a strong desire to develop creatively and promote innovation.</li>\n<li>You&#39;re self-motivated and able to think big while also taking direction and feedback.</li>\n<li>You have excellent teamwork and collaboration skills.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>3+ years’ experience in in SQL and Python, with experience in both RDBMS and Big Data structures. Existing experience with Snowflake-specific concepts is desirable.</li>\n<li>Familiarity with using AI-assisted development tools (e.g., code generation, code review, unit test development) to improve quality and delivery efficiency.</li>\n<li>ETL and pipeline development experience with Airflow and DBT is a plus.</li>\n<li>CI/CD experience with Azure and understanding of API frameworks is a plus.</li>\n<li>B.S. / M.S. degree in Computer Science, Engineering, or a related discipline.</li>\n<li>Knowledge of Marketing technology platforms is desirable, but not required (e.g., Eloqua/Marketo, web analytics platforms, customer data platforms).</li>\n<li>Relentless desire for understanding how processes work. Creativity in solving unconventional problems.</li>\n<li>Adaptability and resiliency when overcoming challenges.</li>\n</ul>\n<p><strong>Our benefits</strong></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><strong>Our hybrid work model</strong></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><strong>About BlackRock</strong></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_3487a0dd-b87","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/dgM5uMjA3xyRYgwF3u3x72/associate%2C-data-engineer-in-budapest-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","RDBMS","Big Data structures","Snowflake-specific concepts","AI-assisted development tools","code generation","code review","unit test development","ETL and pipeline development","Airflow","DBT","CI/CD experience","Azure","API frameworks","B.S. / M.S. degree in Computer Science","Engineering","or a related discipline"],"x-skills-preferred":["Marketing technology platforms","Eloqua/Marketo","web analytics platforms","customer data platforms"],"datePosted":"2026-03-09T16:41:54.882Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Budapest"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"SQL, Python, RDBMS, Big Data structures, Snowflake-specific concepts, AI-assisted development tools, code generation, code review, unit test development, ETL and pipeline development, Airflow, DBT, CI/CD experience, Azure, API frameworks, B.S. / M.S. degree in Computer Science, Engineering, or a related discipline, Marketing technology platforms, Eloqua/Marketo, web analytics platforms, customer data platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1028f9d-fa3"},"title":"Lifecycle Marketing Lead","description":"<p>Your job is to produce a job description for the job seeker. Treat copy that describes the job as more important than copy that talks about the company.</p>\n<p>Start with an opening paragraph: what the role is, who the company is, why it matters. If the ad mentions salary, include it here. One short paragraph about the company is enough — do not reproduce lengthy &quot;About Us&quot; text.</p>\n<p>For the role details, reuse the same section headings from the original ad (e.g. if the ad says &quot;Responsibilities&quot;, use that heading, not &quot;What you&#39;ll do&quot;). Match the tone of the original: if formal, stay formal. If casual, stay casual.</p>\n<p>Rephrase bullet points in your own words while keeping the factual content. 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You will design the systems that turn product usage signals into timely, relevant interventions across email, and in-product surfaces.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li><strong>Own onboarding, activation, and early lifecycle performance.</strong> Design and continuously improve the new user journey to reduce time-to-first-value, increase repeat usage, and drive early adoption of core product capabilities across API and dashboard experiences.</li>\n<li><strong>Build and operate lifecycle programs driven by product usage.</strong> Own lifecycle strategy across welcome, activation, engagement, expansion, and reactivation. Translate product events and usage thresholds into triggered journeys across email and in-product channels, partnering with an agency for design and execution where appropriate.</li>\n<li><strong>Run experiments that compound product-led growth.</strong> Design, execute, and analyze experiments using tools like PostHog to improve conversion, adoption, and retention. Maintain a focused experimentation cadence tied to clear lifecycle and revenue outcomes.</li>\n<li><strong>Support PLG-to-sales motions with high-quality signals.</strong> Define and operationalize signals that identify high-potential accounts based on usage behavior, and build automated flows that enable the BD team to engage with the right context at the right time.</li>\n<li><strong>Define, measure, and communicate lifecycle success.</strong> Establish clear lifecycle metrics and benchmarks (activation signals, engagement patterns, retention and reactivation rates), and use them to inform priorities, trade-offs, and ongoing optimization.</li>\n<li><strong>Partner cross-functionally to ship the journey.</strong> Work closely with product, engineering, data, and sales to align on lifecycle priorities, influence instrumentation and product surfaces, and ensure lifecycle systems reflect how customers actually use OpenRouter.</li>\n</ul>\n<p><strong>What We’re Looking For</strong></p>\n<ul>\n<li>7-10 years of experience in lifecycle marketing, growth marketing, product growth, or adjacent roles—ideally in PLG or developer-focused products.</li>\n<li>Strong analytical instincts and experience working directly with product usage data and experimentation.</li>\n<li>Hands-on experience with lifecycle and experimentation tooling (e.g. email platforms, marketing automation, PostHog or similar).</li>\n<li>Track record of working directly with engineers, designers and analysts to bring projects to life.</li>\n<li>Clear understanding of how onboarding, activation, and lifecycle systems drive product-led growth.</li>\n<li>Comfort owning strategy while executing tactically in an early-stage, evolving environment.</li>\n<li>Strong cross-functional communication skills and ability to work effectively with product and engineering partners.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with API-first, infrastructure, or developer-tools products.</li>\n<li>Prior experience building lifecycle systems from scratch.</li>\n<li>Familiarity with customer data platforms, enrichment, or CRM workflows.</li>\n<li>Technical or growth-engineering background enabling lightweight automation or instrumentation.</li>\n</ul>\n<p><strong>Why OpenRouter</strong></p>\n<ul>\n<li>Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs.</li>\n<li>High ownership and autonomy to define how developer education and community scale.</li>\n<li>Opportunity to shape a foundational function at a fast-growing company.</li>\n<li>Fully remote team with a culture of autonomy and trust.</li>\n<li>Competitive compensation, including base salary and equity.</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_a1028f9d-fa3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenRouter","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openrouter.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openrouter/908a39d3-5fb6-4c55-9efc-90e3a29627d3","x-work-arrangement":"Remote","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":null,"x-skills-required":["Lifecycle Marketing","Growth Marketing","Product Growth","Email Platforms","Marketing Automation","PostHog","Experimentation Tooling","Product Usage Data","Data Analysis","Cross-Functional Communication"],"x-skills-preferred":["API-first","Infrastructure","Developer-Tools","Customer Data Platforms","Enrichment","CRM Workflows","Technical","Growth-Engineering"],"datePosted":"2026-03-09T09:48:57.971Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (US)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Lifecycle Marketing, Growth Marketing, Product Growth, Email Platforms, Marketing Automation, PostHog, Experimentation Tooling, Product Usage Data, Data Analysis, Cross-Functional Communication, API-first, Infrastructure, Developer-Tools, Customer Data Platforms, Enrichment, CRM Workflows, Technical, Growth-Engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_39a574a0-94c"},"title":"Technical Program Manager, Marketing Technology","description":"<p>As a Technical Program Manager for Marketing Technology, you will lead our Marketing Mix Modeling (MMM), incrementality testing, brand measurement, and marketing data infrastructure programs. You&#39;ll orchestrate complex, cross-functional initiatives spanning vendor partnerships, data infrastructure, experimentation design, and stakeholder alignment to build world-class marketing measurement capabilities for Anthropic&#39;s growth.</p>\n<p>You&#39;ll serve as the central coordinator between Data Science, Growth Marketing, Brand Marketing, Product, Engineering, Data Infrastructure, Privacy, Finance, and external partners including MMM vendors, media platform partners, and agencies. This role requires someone who can navigate technical complexity, drive alignment across diverse stakeholders, and translate between business strategy and technical execution across both performance and brand measurement.</p>\n<p>As the program lead for our measurement infrastructure, you&#39;ll be responsible for delivering our MMM proof-of-concept, establishing ongoing experimentation frameworks, designing and executing brand lift studies, leading the strategic assessment and migration of infrastructure, and building the operational foundations that enable data-driven marketing investment decisions at scale.</p>\n<p>Responsibilities:</p>\n<ul>\n<li><strong>Marketing Measurement Intelligence</strong>: Lead end-to-end program management for MMM proof-of-concept execution, and transition to production operations. Design and execute comprehensive incrementality testing programs including geo-based experiments, conversion lift studies, and in-platform tests with media partners to calibrate and validate MMM outputs. Lead brand lift study design and execution across media platforms to measure awareness, consideration, favorability, and intent. Synthesize measurement results across MMM, brand lift, and incrementality testing for holistic marketing effectiveness views, building reporting frameworks that connect brand health metrics to business outcomes.</li>\n<li><strong>MarTech Infrastructure &amp; Vendor Management:</strong> Support strategic assessments of marketing technology platforms, facilitating cross-functional evaluation and driving stakeholder alignment on build-vs-buy decisions while mapping dependencies and identifying blockers. Serve as key contact for vendors and agencies, managing relationships, business reviews, and coordinating execution with implementation roadmaps. Establish operational excellence standards including monitoring, alerting, version control, automated privacy validation, and incident response protocols while maintaining executive visibility into platform initiatives and working with Legal and Security on vendor reviews.</li>\n<li><strong>Marketing Workflow Automation</strong>: Partner with Marketing leadership to identify, prioritize, and support deployment of AI-powered automation solutions for marketing operations. Establish governance frameworks, quality standards, validation processes, and monitoring mechanisms for automated marketing workflows. Build sustainable operating models for ongoing automation maintenance and continuous improvement. Track and measure automation impact to demonstrate ROI to leadership and cross-functional teams. Act as a center of excellence to socialize successful automation stories within Marketing to the broader Anthropic organisation.</li>\n</ul>\n<p>You May Be a Good Fit If You:</p>\n<ul>\n<li>Have 7+ years of technical program management experience, with 3+ years in marketing measurement, analytics infrastructure, or data science programs</li>\n<li>Have a track record of successfully managing complex programs involving data science, marketing operations, engineering, agencies, and vendors</li>\n<li>Possess deep understanding of MMM, attribution, incrementality testing, brand lift studies, and experimentation design</li>\n<li>Have strong technical fluency with customer data platforms, marketing data sources, data warehouses, and analytics platforms</li>\n<li>Have experience evaluating and migrating between marketing technology platforms or data infrastructure systems</li>\n<li>Can engage with data scientists on regression analysis, causality, adstock modeling, and experimental design</li>\n<li>Understand CDP architecture including event collection, tag management, streaming delivery, reverse ETL, and privacy compliance</li>\n<li>Have a track record of delivering 0-to-1 programs on aggressive timelines with high visibility</li>\n<li>Excel at translating technical concepts for varied audiences and can influence without authority</li>\n<li>Thrive in ambiguous situations, bringing structure to complex challenges with competing priorities and limited resources</li>\n<li>Have excellent written and verbal communication skills with executive presence and strong presentation abilities</li>\n<li>Are passionate about Anthropic&#39;s mission and interested in the challenges of bringing frontier AI capabilities to market</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_39a574a0-94c","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/5108854008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000 - $365,000 USD","x-skills-required":["Marketing Mix Modeling","Incrementality testing","Brand measurement","Marketing data infrastructure","Customer data platforms","Marketing data sources","Data warehouses","Analytics platforms","CDP architecture","Event collection","Tag management","Streaming delivery","Reverse ETL","Privacy compliance"],"x-skills-preferred":["Regression analysis","Causality","Adstock modeling","Experimental design","Data science","Marketing operations","Engineering","Agencies","Vendor management"],"datePosted":"2026-03-08T13:52:15.622Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Marketing Mix Modeling, Incrementality testing, Brand measurement, Marketing data infrastructure, Customer data platforms, Marketing data sources, Data warehouses, Analytics platforms, CDP architecture, Event collection, Tag management, Streaming delivery, Reverse ETL, Privacy compliance, Regression analysis, Causality, Adstock modeling, Experimental design, Data science, Marketing operations, Engineering, Agencies, Vendor management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}}]}