{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/incrementality"},"x-facet":{"type":"skill","slug":"incrementality","display":"Incrementality","count":16},"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_ca38c08d-e8f"},"title":"Staff Data Scientist - Marketing Analytics","description":"<p>Join us to build the measurement and decision engine for patient growth.</p>\n<p>As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.</p>\n<p>Your job is to help Headway answer the questions that matter:</p>\n<ul>\n<li>What is truly incremental?</li>\n</ul>\n<ul>\n<li>Where should we invest next?</li>\n</ul>\n<ul>\n<li>What is driving performance shifts?</li>\n</ul>\n<ul>\n<li>How do we scale what works without fooling ourselves?</li>\n</ul>\n<p>You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.</li>\n</ul>\n<ul>\n<li>Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.</li>\n</ul>\n<ul>\n<li>Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”</li>\n</ul>\n<ul>\n<li>Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.</li>\n</ul>\n<ul>\n<li>Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.</li>\n</ul>\n<ul>\n<li>Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.</li>\n</ul>\n<ul>\n<li>Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.</li>\n</ul>\n<ul>\n<li>Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.</li>\n</ul>\n<p>What will make you successful:</p>\n<ul>\n<li>10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).</li>\n</ul>\n<ul>\n<li>Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.</li>\n</ul>\n<ul>\n<li>Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.</li>\n</ul>\n<ul>\n<li>Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.</li>\n</ul>\n<ul>\n<li>Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.</li>\n</ul>\n<ul>\n<li>Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.</li>\n</ul>\n<ul>\n<li>High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.</li>\n</ul>\n<ul>\n<li>You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.</li>\n</ul>\n<ul>\n<li>Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.</li>\n</ul>\n<ul>\n<li>Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).</li>\n</ul>\n<ul>\n<li>Experience partnering with Finance on budget allocation, payback, and scenario planning.</li>\n</ul>\n<ul>\n<li>Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.</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_ca38c08d-e8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://www.headway.com/","logo":"https://logos.yubhub.co/headway.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5751646004","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$212,000 - $265,000","x-skills-required":["data science","analytics","experimentation","marketing","growth","SQL","Python","R","causal inference","incrementality","modeling","forecasting","LTV estimation","saturation","diminishing returns","MMM concepts","calibration","monitoring"],"x-skills-preferred":["geo experiments","marketplace constraints","capacity-aware marketing optimization","acquisition quality","downstream engagement","retention","clinical matching quality","unit economics","lifecycle marketing measurement","uplift","experimentation design for messaging","budget allocation","payback","scenario planning"],"datePosted":"2026-04-18T15:57:07.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Healthcare","skills":"data science, analytics, experimentation, marketing, growth, SQL, Python, R, causal inference, incrementality, modeling, forecasting, LTV estimation, saturation, diminishing returns, MMM concepts, calibration, monitoring, geo experiments, marketplace constraints, capacity-aware marketing optimization, acquisition quality, downstream engagement, retention, clinical matching quality, unit economics, lifecycle marketing measurement, uplift, experimentation design for messaging, budget allocation, payback, scenario planning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":212000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9692c327-3c8"},"title":"Lead, Advertising Measurement - UK","description":"<p>We&#39;re looking for an Ads Measurement Lead in London to help our advertising partners succeed on our platform. This role will be an integral part of the Marketing Sciences team, driving our value proposition to agencies and brands by demonstrating the power and performance of Reddit as a media platform.</p>\n<p>As a measurement lead, you will be a key partner to our sales team, fusing best practices, industry knowledge, and critical thinking to help clients achieve their brand and performance goals on Reddit. Your primary responsibilities will evolve over time, and there is a significant opportunity to drive impact within Reddit and support your own career growth.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Daily responsibilities will span across advertising measurement, performance optimizations, vendor development, advertising strategy, teaching and supporting our sales team, and research.</li>\n</ul>\n<ul>\n<li>Measurement knowledge including attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion and mobile tracking, 1st and 3rd party insights storytelling, and custom research.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Client Account Managers to gain a deep understanding of clients&#39; campaign setups, measurement stack and performance goals, as well as collaborate closely with Product &amp; PMM.</li>\n</ul>\n<ul>\n<li>Translate global best practices into EMEA context, creating playbooks and best practices for EMEA specific campaigns.</li>\n</ul>\n<ul>\n<li>Translate data insights into actionable recommendations with clear justifications and expected outcomes, maintaining regular communication of vertical updates and optimization suggestions to our team.</li>\n</ul>\n<ul>\n<li>Leverage measurement results to drive sales impact - developing benchmarks, case studies, media &amp; creative best practices, and refinement/optimization to our audience and targeting strategy to improve efficiency and effectiveness.</li>\n</ul>\n<ul>\n<li>Partner with Sales, Marketing, and Brand Strategy to develop compelling storylines that highlight opportunities for Reddit advertisers and our competitive advantage.</li>\n</ul>\n<ul>\n<li>Join key client meetings as a subject matter expert to provide technical guidance and objection handling.</li>\n</ul>\n<ul>\n<li>Develop and support our go-to-market teams in EMEA with your measurement expertise, industry knowledge, and insights specific to market nuances.</li>\n</ul>\n<ul>\n<li>Support the execution of innovative primary research that amplifies our narrative and value proposition to advertisers, and the development of insights products that position Reddit as a curator of business-critical learnings to advertisers.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>A data-driven storyteller that’s passionate about measurement to inspire and drive action.</li>\n</ul>\n<ul>\n<li>5+ years in ad research or ad tech – at a research vendor, media owner, client or agency partner.</li>\n</ul>\n<ul>\n<li>You are familiar with the ad measurement landscape and the primary vendors, products, and services that advertisers use to measure performance &amp; brand - and how it all works from a technical perspective.</li>\n</ul>\n<ul>\n<li>A knowledge of experimentation and familiarity with the underlying statistical methods.</li>\n</ul>\n<ul>\n<li>Expertise in these three areas of measurement across verticals:</li>\n</ul>\n<ul>\n<li>Reach: impressions, viewability, on-target percentage, brand safety, etc.</li>\n</ul>\n<ul>\n<li>Resonance: brand awareness, consideration, intent, etc.</li>\n</ul>\n<ul>\n<li>Reaction: attribution, conversion, sales lift, tune-in, foot traffic, etc.</li>\n</ul>\n<ul>\n<li>Experience optimizing toward DR focused KPIs, as well as knowledge of holistic media planning to support brand awareness and performance campaigns in tandem.</li>\n</ul>\n<ul>\n<li>Experienced in executing incrementality testing, developing test+learn agendas and working with engineering + product teams on advanced measurement cases.</li>\n</ul>\n<ul>\n<li>You have a strong background in the execution, analysis, and presentation of quantitative advertising research.</li>\n</ul>\n<ul>\n<li>Proven ability to weave primary research, 1st party platform data, and 3rd party/syndicated research together into a cohesive and compelling story of strategic importance.</li>\n</ul>\n<ul>\n<li>Experience working with measurement vendors to bring new services and capabilities to life at a technology company.</li>\n</ul>\n<ul>\n<li>Exceptional written and oral communication skills – you’re articulate and engaging.</li>\n</ul>\n<ul>\n<li>Motivated self-starter who thrives in unstructured environments on an evolving team.</li>\n</ul>\n<ul>\n<li>BA/BS degree</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_9692c327-3c8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7734973","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["advertising measurement","performance optimizations","vendor development","advertising strategy","data analysis","statistical methods","experimentation","incrementality testing","media planning","brand awareness","consideration","intent","attribution","conversion","sales lift","tune-in","foot traffic","quantitative advertising research","primary research","platform data","syndicated research"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:46:55.820Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"advertising measurement, performance optimizations, vendor development, advertising strategy, data analysis, statistical methods, experimentation, incrementality testing, media planning, brand awareness, consideration, intent, attribution, conversion, sales lift, tune-in, foot traffic, quantitative advertising research, primary research, platform data, syndicated research"},{"@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_87c01508-dd0"},"title":"Data Analyst","description":"<p>We are looking for a Data Analyst to join our Marketing Science team. As a Data Analyst, you will be the analytical lead across growth marketing, registration, and website analytics, setting the measurement framework, driving analysis independently, and translating results into decisions stakeholders can act on.</p>\n<p>Your day-to-day will involve owning analytical coverage across growth marketing, registration, and website, setting measurement frameworks, building scalable reporting, and driving the analytical roadmap for your domain. You will lead analysis on complex, ambiguous questions: incrementality testing, LTV and payback modeling, attribution deep dives, funnel decomposition, and cohort analysis.</p>\n<p>You will build and own dbt models that encode business logic for your domain in a scalable, reusable way to power dashboards, reporting, and stakeholder self-serve. You will build and maintain Tableau dashboards that give marketing and leadership a clear, reliable view of performance across growth, registration, and web.</p>\n<p>You will partner directly with marketing stakeholders to scope analytical problems, pressure-test interpretations, and make sure findings land as decisions, not just slide decks. You will use Claude fluently as a daily productivity layer, accelerating SQL, generating documentation, QA-ing work, and building faster analytical workflows.</p>\n<p>You will mentor and raise the floor for junior analysts on the team. You will review their work, help them think through ambiguous problems, and set the standard for analytical quality. You will identify gaps before they become problems, from data quality and metric definitions to reporting coverage and stakeholder understanding. You will own the fix, not just the flag.</p>\n<p>We are looking for someone with 4–8 years of experience in a data or analytics role, with hands-on experience in at least one marketing channel: paid search (preferred), paid social, TV/CTV, affiliates, direct mail, or similar. You should understand how that channel&#39;s data works, how it&#39;s structured, what the key metrics are, and how performance is measured and reported. Multi-channel experience is a strong plus.</p>\n<p>You should have strong, proven SQL ability. You should write clean, efficient queries across complex schemas and build analytics logic others can maintain. Dbt experience, including owning models in production, is a strong plus. You should be proficient with Claude or similar AI tools for analytical work. You should use them to move faster, not as a crutch. You should know how to validate outputs rather than ship the first answer.</p>\n<p>You should write readable, well-structured Python for analytical work: data manipulation, automation, or scripting. Your code should be something a teammate can pick up and maintain. You should understand how attribution models work, what makes a good experiment, and how to think about LTV, CAC, and payback period without needing a primer.</p>\n<p>You should be proactive and not wait to be asked. You should spot the gap, scope the work, and drive it to a conclusion. Your stakeholders shouldn&#39;t have to manage your backlog. You should be able to take a fuzzy business question and turn it into a clear analytical plan. You should ask the right clarifying questions and bring structure without needing the problem handed to you pre-scoped.</p>\n<p>You should communicate findings in a way that drives decisions. You should know when a chart is enough and when you need a narrative. You&#39;ve presented to senior stakeholders and know how to calibrate.</p>\n<p>Preferred experience includes breadth across multiple marketing channels: paid search, paid social, TV/CTV, affiliates, or others. Hands-on experience with experiment design and incrementality testing is also preferred. Experience with Snowflake or a similar cloud data warehouse is a plus. Experience mentoring or reviewing the work of junior analysts is also a plus.</p>\n<p>Work perks at Greenlight include medical, dental, vision, and HSA match, paid life insurance, AD&amp;D, and disability benefits, traditional 401k with company match, unlimited PTO, paid company holidays and pop-up bonus holidays, professional development stipends, mental health resources, 1:1 financial planners, fertility healthcare, 100% paid parental and caregiving leave, plus cleaning service and meals during your leave, flexible WFH, both remote and in-office opportunities, fully stocked kitchen, catered lunches, and occasional in-office happy hours, employee resource groups.</p>\n<p>Our stance on salaries is that Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience, and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.</p>\n<p>The estimated base pay range for this position in NY, CA, WA is $125,000-145,000. The estimated base pay range for this position in CO is $125,000-135,000.</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_87c01508-dd0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Greenlight","sameAs":"https://www.greenlight.com/","logo":"https://logos.yubhub.co/greenlight.com.png"},"x-apply-url":"https://jobs.lever.co/greenlight/084768a3-1c27-4390-b94c-d987f636811a","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$125,000-145,000 (NY, CA, WA); $125,000-135,000 (CO)","x-skills-required":["SQL","dbt","Tableau","Claude","Python","data manipulation","automation","scripting","attribution models","experiment design","incrementality testing"],"x-skills-preferred":["paid search","paid social","TV/CTV","affiliates","direct mail","Snowflake","cloud data warehouse","mentoring","reviewing junior analyst work"],"datePosted":"2026-04-17T12:35:56.953Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"SQL, dbt, Tableau, Claude, Python, data manipulation, automation, scripting, attribution models, experiment design, incrementality testing, paid search, paid social, TV/CTV, affiliates, direct mail, Snowflake, cloud data warehouse, mentoring, reviewing junior analyst work","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":145000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7cdf7623-ced"},"title":"Growth - Emails, Notifications and Lifecycle","description":"<p><strong>Compensation</strong></p>\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><strong>About The Team</strong></p>\n<p>The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of surface optimizations, in-product funnel improvements, actionable insights, disciplined experimentation, global performance marketing, and AI-powered workflows.</p>\n<p><strong>About The Role</strong></p>\n<p>We are seeking a full-funnel ‘growth athlete’ with deep expertise in email, notifications, and lifecycle growth initiatives. You will design and scale this motion and associated campaigns across ChatGPT user journeys with rigorous analytical thinking and high-velocity experimentation. This team thrives on rapid testing, precise measurement, and creative problem solving, always keeping user value at the center of our decision-making.</p>\n<p>You will own email/notification/lifecycle growth programs end-to-end—from strategy and creative development to deployment, measurement, and iteration. This role is highly cross-functional and will require close collaboration with engineering, product, data science, and design teams to drive engagement, retention, and monetization through these growth levers.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, launch, and optimize global lifecycle tests and programs (email, push notifications, in-app messaging) to drive activation, engagement, and retention across B2C and B2B segments.</li>\n</ul>\n<ul>\n<li>Own end-to-end messaging strategy, including audience segmentation, personalized journeys, channel selection, and timing to maximize conversion and long-term value.</li>\n</ul>\n<ul>\n<li>Develop testing roadmaps for lifecycle campaigns, running A/B and multivariate experiments to improve open rates, click-through rates, and downstream metrics such as paid conversion, DAU/WAU impact, and LTV.</li>\n</ul>\n<ul>\n<li>Partner with product and engineering to enhance messaging infrastructure (event triggers, experimentation tools, data pipelines) and enable sophisticated targeting and automation.</li>\n</ul>\n<ul>\n<li>Build and maintain funnel performance dashboards to surface opportunities and guide prioritization.</li>\n</ul>\n<ul>\n<li>Collaborate with creative and design teams to craft compelling copy and visuals that reinforce ChatGPT’s brand and value proposition while driving measurable outcomes.</li>\n</ul>\n<ul>\n<li>Leverage AI-powered workflows to personalize communications at scale, using predictive models to optimize content, timing, and delivery.</li>\n</ul>\n<ul>\n<li>Partner with data science to develop attribution models and measure the incremental impact of these growth levers. Share these learnings with the broader organization.</li>\n</ul>\n<p><strong>You might thrive in this role if you are/have:</strong></p>\n<ul>\n<li>8+ years of growth experience spanning both consumer (B2C) and business (B2B) products, with a track record of scaling email, push, and in-app messaging platforms and growth initiatives driving activation, engagement, and paid conversion.</li>\n</ul>\n<ul>\n<li>Deep expertise in audience segmentation, targeting, and multi-channel orchestration (email, push, in-app, SMS) across self-serve consumer funnels and multi-stakeholder B2B purchase journeys.</li>\n</ul>\n<ul>\n<li>Hands-on experience with automation, email, and messaging platforms (e.g., SendGrid, Braze, Iterable, [Customer.io](http://customer.io/), Marketo) and comfort working with APIs, event triggers, and CRM data.</li>\n</ul>\n<ul>\n<li>Proven ability to design and interpret experimentation and measurement frameworks—A/B tests, multivariate testing, and incrementality studies—to optimize lifecycle touchpoints across different customer types.</li>\n</ul>\n<ul>\n<li>Strong analytical skills with the ability to model consumer funnels and lead-to-customer pipelines, leveraging data to identify growth opportunities and measure impact.</li>\n</ul>\n<ul>\n<li>Demonstrated success collaborating cross-functionally with product, engineering, design, sales, and analytics teams to build scalable lifecycle programs and nurture both individual users and enterprise accounts.</li>\n</ul>\n<ul>\n<li>Ability to balance strategic planning with tactical execution—from high-level journey mapping/opportunity sizing to writing copy, QAing campaigns, and optimizing workflows directly in messaging platforms.</li>\n</ul>\n<ul>\n<li>Familiarity with AI-powered personalization/workflows and predictive modeling is a strong plus.</li>\n</ul>\n<ul>\n<li>A test-and-learn mindset and comfort operating in a fast-paced, highly iterative environment.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct impact on your ability to perform the job safely and effectively, and we will consider this in our hiring process.</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_7cdf7623-ced","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/8e146ecb-2bc4-406e-843d-b4b5a8dc09ef","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$239K – $265K • Offers Equity","x-skills-required":["email","notifications","lifecycle growth initiatives","audience segmentation","personalized journeys","channel selection","timing","conversion","long-term value","A/B testing","multivariate testing","incrementality studies","APIs","event triggers","CRM data","data pipelines","AI-powered workflows","predictive modeling"],"x-skills-preferred":["automation","email and messaging platforms","APIs","event triggers","CRM data","data pipelines","AI-powered workflows","predictive modeling"],"datePosted":"2026-03-08T22:16:21.032Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"email, notifications, lifecycle growth initiatives, audience segmentation, personalized journeys, channel selection, timing, conversion, long-term value, A/B testing, multivariate testing, incrementality studies, APIs, event triggers, CRM data, data pipelines, AI-powered workflows, predictive modeling, automation, email and messaging platforms, APIs, event triggers, CRM data, data pipelines, AI-powered workflows, predictive modeling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":239000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c29dbc40-9e1"},"title":"Advertising Marketing Science Lead","description":"<p><strong>Compensation</strong></p>\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><strong>About the team</strong></p>\n<p>OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.</p>\n<p><strong>About the role</strong></p>\n<p>We’re looking for an <strong>Advertising Marketing Science</strong> leader to establish and scale OpenAI’s advertiser-facing reporting, measurement, and attribution credibility. You’ll combine deep measurement expertise with strong judgment and cross-functional leadership to define how advertisers understand performance on OpenAI and how our reporting aligns with their existing measurement frameworks (MTA, incrementality/lift testing, MMM/geo experimentation).</p>\n<p>This role will start as a hands-on individual contributor responsible for building the methodological foundations of OpenAI’s advertising measurement system. Over time, you will define the strategy, operating model, and team needed to scale this function globally as advertiser adoption grows.</p>\n<p>This role is ideal for someone who enjoys building new capabilities from first principles, can translate complex causal measurement approaches into trusted industry narratives, and is energized by partnering across Product, Engineering, Sales, Partnerships and Legal to build a privacy-first measurement ecosystem.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li><strong>Define OpenAI’s advertiser measurement strategy</strong>, establishing how our reporting aligns with attribution (MTA), incrementality/lift testing, MMM, geo experimentation, and partner measurement frameworks.</li>\n</ul>\n<ul>\n<li><strong>Build the foundation of OpenAI’s Marketing Science function</strong>, initially leading work as an individual contributor while designing the long-term team structure, operating model, and measurement programs.</li>\n</ul>\n<ul>\n<li><strong>Lead advertiser-facing measurement discussions</strong>, representing OpenAI in executive briefings, measurement escalations, and industry conversations while building trust in our methodologies and reporting.</li>\n</ul>\n<ul>\n<li><strong>Develop clear advertiser narratives</strong> that translate causal inference, attribution models, and statistical methodologies into understandable guidance for campaign optimization and investment decisions.</li>\n</ul>\n<ul>\n<li><strong>Design and govern OpenAI’s advertising measurement program</strong>, including standardized experiment patterns (A/B, geo, quasi-experimental), power calculators, diagnostics, and experiment-quality guardrails.</li>\n</ul>\n<ul>\n<li><strong>Build scalable measurement frameworks</strong> that reconcile results across MMM, MTA, and lift testing, helping advertisers triangulate OpenAI performance within their broader marketing measurement systems.</li>\n</ul>\n<ul>\n<li><strong>Establish privacy-centric measurement approaches as needed</strong>, including aggregated measurement, and conversion modeling in partnership with Legal and Privacy teams.</li>\n</ul>\n<ul>\n<li><strong>Translate measurement strategy into product capabilities</strong>, partnering with Product and Engineering to operationalize methodologies into durable measurement tools and reporting infrastructure.</li>\n</ul>\n<ul>\n<li><strong>Shape OpenAI’s external measurement ecosystem</strong>, working with third-party measurement partners, clean-room providers, and industry groups to align standards and reduce friction for advertisers.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have <strong>deep expertise in advertising measurement</strong> including experimentation, incrementality testing, attribution modeling, and econometric approaches such as MMM.</li>\n</ul>\n<ul>\n<li>Have <strong>experience designing and scaling lift or incrementality programs</strong>, including governance, experimentation frameworks, and statistical quality standards.</li>\n</ul>\n<ul>\n<li>Are comfortable acting as a <strong>senior external measurement authority</strong>, confidently leading advertiser conversations, navigating discrepancies, and building trust with sophisticated marketing organizations.</li>\n</ul>\n<ul>\n<li>Can <strong>translate complex statistical concepts into practical decision frameworks</strong> for both technical and non-technical audiences.</li>\n</ul>\n<ul>\n<li>Can <strong>build functions from the ground up</strong>, setting strategy while also executing hands-on during early stages of team development.</li>\n</ul>\n<ul>\n<li>Have successfully partnered with <strong>Product and Engineering teams to translate measurement science into scalable product capabilities</strong>.</li>\n</ul>\n<ul>\n<li>Have experience working with <strong>third-party measurement providers or industry standards organizations</strong>.</li>\n</ul>\n<ul>\n<li>Thrive in <strong>fast-paced, high-ambiguity environments</strong> and are comfortable leading cross-company initiatives without direct authority.</li>\n</ul>\n<ul>\n<li>Care deeply about building <strong>trusted, privacy-forward measurement systems</strong> that enable long-term advertiser confidence.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirm</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_c29dbc40-9e1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/5547d275-f123-46e1-8695-71fd79a05724","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$284K – $415K","x-skills-required":["Advertising measurement","Experimentation","Incrementality testing","Attribution modeling","Econometric approaches","Statistical quality standards","Measurement frameworks","Data analysis","Data visualization","Communication skills","Leadership skills","Collaboration skills"],"x-skills-preferred":["Data science","Machine learning","Statistics","Mathematics","Computer programming","Data engineering","Cloud computing","Big data","Data governance","Data security"],"datePosted":"2026-03-08T22:14:24.485Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Advertising measurement, Experimentation, Incrementality testing, Attribution modeling, Econometric approaches, Statistical quality standards, Measurement frameworks, Data analysis, Data visualization, Communication skills, Leadership skills, Collaboration skills, Data science, Machine learning, Statistics, Mathematics, Computer programming, Data engineering, Cloud computing, Big data, Data governance, Data security","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":284000,"maxValue":415000,"unitText":"YEAR"}}},{"@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"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b7392e45-d19"},"title":"Growth Marketing Lead, Paid Acquisition","description":"<p>Rewrite this job ad in your own words, matching the tone of voice of the original. 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;).</p>\n<p>Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here.</p>\n<p>Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.</p>\n<p>For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.</p>\n<p>Do not invent information that is not in the original ad.</p>\n<p><strong>Job Description</strong></p>\n<p>We&#39;re looking for a data-driven, strategic and execution-focused Growth Marketing/Performance Marketing Lead to manage Replit&#39;s PLG and self-serve paid acquisition channels. We&#39;re looking for someone who can inherit an existing program and immediately drive efficiency, optimization, and scale. Your job is to squeeze more signal from what&#39;s working, prune what isn&#39;t, and bring a relentless experimentation mindset to accelerating our self-serve growth engine.</p>\n<p>You&#39;ll work directly with our Head of Growth Marketing and collaborate closely with Creative, Product and Data. This role is ideal for someone who thrives in a high-velocity environment, is deeply channel-native, and is obsessed with improving CAC, conversion rates, and LTV across every stage of the self-serve funnel.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Own and optimize paid acquisition across PLG channels</strong></p>\n<p>Take full accountability for self-serve new user acquisition, free-to-paid conversion, and paid channel efficiency primarily focused on SEM/paid search, but able to lean into other channels such as paid social, display, programmatic, and affiliate</p>\n<p>Manage multi-million dollar media budgets with a clear focus on CAC efficiency and return on ad spend</p>\n<p>Take a full funnel performance approach from impression to activated paying user — including landing pages, onboarding flow touchpoints, and trial conversion</p>\n<p><strong>Drive continuous optimization and a rigorous testing culture</strong></p>\n<p>Identify performance gaps and inefficiencies across existing campaigns and channels; develop and execute a prioritized roadmap to address them</p>\n<p>Design and run structured A/B and multivariate experiments across creative, copy, audiences, landing pages, and bidding strategies</p>\n<p>Establish benchmarks, performance baselines, and a regular cadence of insights reporting to stakeholders</p>\n<p><strong>Scale what&#39;s working — and build what&#39;s missing</strong></p>\n<p>Lead channel expansion efforts: identify emerging acquisition opportunities in programmatic, connected TV, or new affiliate partnerships</p>\n<p>Partner with Creative and Design teams to develop and iterate on high-performing ad assets optimized for each channel and audience</p>\n<p>Develop audience segmentation strategies that target the right users — with channel-appropriate messaging</p>\n<p><strong>Build measurement infrastructure and attribution rigor</strong></p>\n<p>Partner with Data to ensure accurate measurement of paid channel contribution across the self-serve funnel</p>\n<p>Develop incrementality testing frameworks to move beyond last-click and measure true paid lift</p>\n<p>Track and report on full-funnel metrics</p>\n<p><strong>What You&#39;ll Bring</strong></p>\n<p>7+ years of performance marketing experience with expertise and hands-on expertise specifically in SEM/Paid Search. Experience with other channels such as paid social (Meta, TikTok, LinkedIn), display, programmatic, and affiliate channels are valuable</p>\n<p>Proven track record inheriting and meaningfully improving an existing paid acquisition program — not just maintaining, but finding new efficiency and growth levers</p>\n<p>Deep fluency in performance measurement: you understand attribution models, incrementality, MMM basics, and can design experiments that produce actionable signal</p>\n<p>Strong analytical skills — you&#39;re comfortable pulling your own data, building dashboards, and translating numbers into decisions without waiting for a data team</p>\n<p>Experience marketing consumer or prosumer SaaS products with a product-led or freemium growth model at a high growth tech company</p>\n<p>Creative instincts backed by data — you know how to brief creative teams and evaluate assets against performance goals, not just aesthetics</p>\n<p><strong>Benefits</strong></p>\n<p>Competitive Salary &amp; Equity</p>\n<p>401(k) Program with a 4% match</p>\n<p>Health, Dental, Vision and Life Insurance</p>\n<p>Short Term and Long Term Disability</p>\n<p>Paid Parental, Medical, Caregiver Leave</p>\n<p>Commuter Benefits</p>\n<p>Monthly Wellness Stipend</p>\n<p>Autonomous Work Environment</p>\n<p>In Office Set-Up Reimbursement</p>\n<p>Flexible Time Off (FTO) + Holidays</p>\n<p>Quarterly Team Gatherings</p>\n<p>In Office Amenities</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_b7392e45-d19","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Replit","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/replit.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/replit/e487e4a9-1248-4954-b311-873d48b79e80","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165K - $215K","x-skills-required":["performance marketing","paid search","paid social","display","programmatic","affiliate","paid acquisition","SEM","paid search marketing","paid social media marketing","display advertising","programmatic advertising","affiliate marketing","paid channel efficiency","CAC efficiency","return on ad spend","full funnel performance","landing pages","onboarding flow touchpoints","trial conversion","A/B testing","multivariate testing","creative","copy","audiences","landing pages","bidding strategies","benchmarks","performance baselines","insights reporting","incrementality testing","true paid lift","full-funnel metrics"],"x-skills-preferred":["data analysis","data visualization","data-driven decision making","performance measurement","attribution models","incrementality","MMM basics","experiment design","actionable signal","analytical skills","data pulling","dashboard building","number translation","creative instincts","briefing creative teams","evaluating assets against performance goals"],"datePosted":"2026-03-07T15:21:50.263Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"performance marketing, paid search, paid social, display, programmatic, affiliate, paid acquisition, SEM, paid search marketing, paid social media marketing, display advertising, programmatic advertising, affiliate marketing, paid channel efficiency, CAC efficiency, return on ad spend, full funnel performance, landing pages, onboarding flow touchpoints, trial conversion, A/B testing, multivariate testing, creative, copy, audiences, landing pages, bidding strategies, benchmarks, performance baselines, insights reporting, incrementality testing, true paid lift, full-funnel metrics, data analysis, data visualization, data-driven decision making, performance measurement, attribution models, incrementality, MMM basics, experiment design, actionable signal, analytical skills, data pulling, dashboard building, number translation, creative instincts, briefing creative teams, evaluating assets against performance goals","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":215000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fb622500-15e"},"title":"Data Scientist, Marketing","description":"<p>You will directly impact Replit&#39;s growth by turning user behavior into actionable insights that optimize our marketing efforts, improve conversion funnels, and drive sustainable revenue growth across our self-serve and enterprise segments.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and analyse marketing experiments to optimise campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.</li>\n<li>Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.</li>\n<li>Develop predictive models to identify high-intent prospects, optimise lead scoring, and improve targeting for paid acquisition campaigns.</li>\n<li>Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations.</li>\n<li>Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.</li>\n<li>Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.</li>\n</ul>\n<p><strong>Examples of what you could do</strong></p>\n<ul>\n<li>Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.</li>\n<li>Analyse cohort behaviour and retention patterns to optimise lifecycle marketing campaigns and reduce churn.</li>\n<li>Develop segmentation models to personalise messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).</li>\n<li>Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.</li>\n</ul>\n<p><strong>Required skills and experience</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.</li>\n<li>4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics.</li>\n<li>Strong SQL skills and experience working with large datasets, particularly event-level user behaviour data, and designing ETL workflows using dbt</li>\n<li>Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).</li>\n<li>Experience designing and analysing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.</li>\n<li>Experience building dashboards and visualisations (Looker, Tableau, Mode, or similar tools).</li>\n<li>Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.).</li>\n<li>Background in growth analytics, marketing analytics, or conversion rate optimisation at a SaaS or PLG company.</li>\n<li>Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.).</li>\n<li>Experience with attribution modelling, marketing mix modelling, or incrementality testing.</li>\n<li>Understanding of PLG (product-led growth) motions and self-serve conversion funnels.</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience analysing freemium or usage-based pricing models.</li>\n<li>Understanding of developer tools, collaborative coding environments, or technical products.</li>\n<li>Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching).</li>\n<li>Familiarity with customer data platforms (CDPs) and event tracking implementation.</li>\n<li>Experience working with sales and customer success data to analyse expansion revenue and upsell opportunities.</li>\n</ul>\n<p><strong>Full-Time Employee Benefits Include</strong></p>\n<ul>\n<li>Competitive Salary &amp; Equity</li>\n<li>401(k) Program with a 4% match</li>\n<li>Health, Dental, Vision and Life Insurance</li>\n<li>Short Term and Long Term Disability</li>\n<li>Paid Parental, Medical, Caregiver Leave</li>\n<li>Commuter Benefits</li>\n<li>Monthly Wellness Stipend</li>\n<li>Autonomous Work Environment</li>\n<li>In Office Set-Up Reimbursement</li>\n<li>Flexible Time Off (FTO) + Holidays</li>\n<li>Quarterly Team Gatherings</li>\n<li>In Office Amenities</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_fb622500-15e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Replit","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/replit.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/replit/c05749db-f413-4091-a95c-c8e0aa1b5630","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180K - $250K","x-skills-required":["SQL","Python","data science libraries (pandas, scikit-learn, statsmodels, etc.)","ETL workflows using dbt","A/B tests and experiments","dashboard and visualisation tools (Looker, Tableau, Mode, etc.)"],"x-skills-preferred":["modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.)","growth analytics, marketing analytics, or conversion rate optimisation","marketing technology platforms (Google Analytics, Segment, Iterable, etc.)","attribution modelling, marketing mix modelling, or incrementality testing"],"datePosted":"2026-03-07T15:20:03.203Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, data science libraries (pandas, scikit-learn, statsmodels, etc.), ETL workflows using dbt, A/B tests and experiments, dashboard and visualisation tools (Looker, Tableau, Mode, etc.), modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.), growth analytics, marketing analytics, or conversion rate optimisation, marketing technology platforms (Google Analytics, Segment, Iterable, etc.), attribution modelling, marketing mix modelling, or incrementality testing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c31b7744-2a9"},"title":"Growth - Emails, Notifications and Lifecycle","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Growth - Emails, Notifications and Lifecycle</strong></p>\n<p><strong>Location</strong></p>\n<p>New York City</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>-</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$239K – $265K • 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>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About The Team</strong></p>\n<p>The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of surface optimizations, in-product funnel improvements, actionable insights, disciplined experimentation, global performance marketing, and AI-powered workflows.</p>\n<p><strong>About The Role</strong></p>\n<p>We are seeking a full-funnel ‘growth athlete’ with deep expertise in email, notifications, and lifecycle growth initiatives. You will design and scale this motion and associated campaigns across ChatGPT user journeys with rigorous analytical thinking and high-velocity experimentation. This team thrives on rapid testing, precise measurement, and creative problem solving, always keeping user value at the center of our decision-making.</p>\n<p>You will own email/notification/lifecycle growth programs end-to-end—from strategy and creative development to deployment, measurement, and iteration. This role is highly cross-functional and will require close collaboration with engineering, product, data science, and design teams to drive engagement, retention, and monetization through these growth levers.</p>\n<p>This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, launch, and optimize global lifecycle tests and programs (email, push notifications, in-app messaging) to drive activation, engagement, and retention across B2C and B2B segments.</li>\n</ul>\n<ul>\n<li>Own end-to-end messaging strategy, including audience segmentation, personalized journeys, channel selection, and timing to maximize conversion and long-term value.</li>\n</ul>\n<ul>\n<li>Develop testing roadmaps for lifecycle campaigns, running A/B and multivariate experiments to improve open rates, click-through rates, and downstream metrics such as paid conversion, DAU/WAU impact, and LTV.</li>\n</ul>\n<ul>\n<li>Partner with product and engineering to enhance messaging infrastructure (event triggers, experimentation tools, data pipelines) and enable sophisticated targeting and automation.</li>\n</ul>\n<ul>\n<li>Build and maintain funnel performance dashboards to surface opportunities and guide prioritization.</li>\n</ul>\n<ul>\n<li>Collaborate with creative and design teams to craft compelling copy and visuals that reinforce ChatGPT’s brand and value proposition while driving measurable outcomes.</li>\n</ul>\n<ul>\n<li>Leverage AI-powered workflows to personalize communications at scale, using predictive models to optimize content, timing, and delivery.</li>\n</ul>\n<ul>\n<li>Partner with data science to develop attribution models and measure the incremental impact of these growth levers. Share these learnings with the broader organization.</li>\n</ul>\n<p><strong>You might thrive in this role if you are/have:</strong></p>\n<ul>\n<li>8+ years of growth experience spanning both consumer (B2C) and business (B2B) products, with a track record of scaling email, push, and in-app messaging platforms and growth initiatives driving activation, engagement, and paid conversion.</li>\n</ul>\n<ul>\n<li>Deep expertise in audience segmentation, targeting, and multi-channel orchestration (email, push, in-app, SMS) across self-serve consumer funnels and multi-stakeholder B2B purchase journeys.</li>\n</ul>\n<ul>\n<li>Hands-on experience with automation, email, and messaging platforms (e.g., SendGrid, Braze, Iterable, Customer.io, Marketo) and comfort working with APIs, event triggers, and CRM data.</li>\n</ul>\n<ul>\n<li>Proven ability to design and interpret experimentation and measurement frameworks—A/B tests, multivariate testing, and incrementality studies—to optimize lifecycle touchpoints across different customer types.</li>\n</ul>\n<ul>\n<li>Strong analytical skills with the ability to model consumer funnels and lead-to-customer pipelines, leveraging data to identify growth opportunities and measure impact.</li>\n</ul>\n<ul>\n<li>Demonstrated success collaborating with cross-functional teams to drive business outcomes and growth.</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_c31b7744-2a9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/c3426270-157e-4709-bf13-aee7743f7c39","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$239K – $265K","x-skills-required":["growth experience","email","notifications","lifecycle growth initiatives","audience segmentation","targeting","multi-channel orchestration","automation","email","messaging platforms","APIs","event triggers","CRM data","experimentation","measurement frameworks","A/B tests","multivariate testing","incrementality studies","consumer funnels","lead-to-customer pipelines","data analysis","cross-functional collaboration"],"x-skills-preferred":["SendGrid","Braze","Iterable","Customer.io","Marketo","data science","attribution models","AI-powered workflows","predictive models","content optimization","timing optimization","delivery optimization"],"datePosted":"2026-03-06T18:38:28.169Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"growth experience, email, notifications, lifecycle growth initiatives, audience segmentation, targeting, multi-channel orchestration, automation, email, messaging platforms, APIs, event triggers, CRM data, experimentation, measurement frameworks, A/B tests, multivariate testing, incrementality studies, consumer funnels, lead-to-customer pipelines, data analysis, cross-functional collaboration, SendGrid, Braze, Iterable, Customer.io, Marketo, data science, attribution models, AI-powered workflows, predictive models, content optimization, timing optimization, delivery optimization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":239000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4d4df1fe-7ee"},"title":"Data Scientist, Financial Engineering","description":"<p><strong>Data Scientist, Financial Engineering</strong></p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s <strong>Financial Engineering (FinEng)</strong> team powers how revenue flows through our products—pricing &amp; packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our <strong>checkout and payments</strong>, <strong>subscriptions</strong>, and <strong>pricing &amp; monetization</strong> systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will</strong></p>\n<ul>\n<li>Own checkout &amp; payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency.</li>\n</ul>\n<ul>\n<li>Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible.</li>\n</ul>\n<ul>\n<li>Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action.</li>\n</ul>\n<ul>\n<li>Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality.</li>\n</ul>\n<p><strong>You might thrive in this role if you have</strong></p>\n<ul>\n<li>5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments</li>\n</ul>\n<ul>\n<li>Fluency in <strong>SQL</strong> and <strong>Python</strong>, with a track record designing and interpreting A/B tests and quasi-experiments</li>\n</ul>\n<ul>\n<li>Experience building product metrics from scratch and operationalizing them for decision-making</li>\n</ul>\n<ul>\n<li>Excellent communication skills with PMs, engineers, risk/finance partners, and executives</li>\n</ul>\n<ul>\n<li>Strategic instincts beyond significance tests—clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)</li>\n</ul>\n<p><strong>You could be an especially great fit if you have</strong></p>\n<ul>\n<li>Payments, checkout, or subscription analytics experience (PSPs, bank rails, disputes/refunds, risk, e-commerce)</li>\n</ul>\n<ul>\n<li>Background in <strong>offline incrementality</strong> methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation</li>\n</ul>\n<ul>\n<li>Experience with internationalization/local payments, FX, and pricing &amp; packaging strategy</li>\n</ul>\n<ul>\n<li>Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering</li>\n</ul>\n<p><strong>Benefits</strong></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 and safe time (1 hour per 30 hours worked)</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><strong>Salary</strong></p>\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 for eligible employees and benefits.</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_4d4df1fe-7ee","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/898a87fb-4cb8-450e-9840-ee5dc710a57d","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-skills-required":["SQL","Python","A/B testing","quasi-experiments","product metrics","operational analytics"],"x-skills-preferred":["payments","checkout","subscription analytics","offline incrementality","uplift modeling","CUPED/causal inference","counterfactual evaluation","internationalization/local payments","FX","pricing & packaging strategy"],"datePosted":"2026-03-06T18:32:44.006Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, A/B testing, quasi-experiments, product metrics, operational analytics, payments, checkout, subscription analytics, offline incrementality, uplift modeling, CUPED/causal inference, counterfactual evaluation, internationalization/local payments, FX, pricing & packaging strategy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_142c12c6-555"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of scientific and technical strategy for data-driven attribution and causal measurement across advertising systems. You will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Applied Scientist, you will help define the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems. You will establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability. You will lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale. You will set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams. You will identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations. You will operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.</li>\n<li>Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.</li>\n<li>Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.</li>\n<li>Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.</li>\n<li>Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.</li>\n<li>Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.</li>\n<li>Track record of driving multi-year research or modeling agendas that materially improved product outcomes.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong analytical and problem-solving skills.</li>\n<li>Excellent communication and collaboration skills.</li>\n<li>Ability to work in a fast-paced environment and prioritize multiple tasks.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary.</li>\n<li>Comprehensive benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_142c12c6-555","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-18/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Predictive Analytics","Research"],"x-skills-preferred":["Attribution","Incrementality","Marketplace Experimentation","Causal ML"],"datePosted":"2026-03-06T07:32:08.322Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Predictive Analytics, Research, Attribution, Incrementality, Marketplace Experimentation, Causal ML"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8672228f-4df"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Sunnyvale office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the advertising marketplace. You&#39;ll work directly with leadership to shape the company&#39;s direction in the development of large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback.</p>\n<p><strong>About the Role</strong></p>\n<p>Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value. We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend. The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.</li>\n<li>Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Track record of driving multi-year research or modeling agendas that materially improved product outcomes.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_8672228f-4df","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-19/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package.","x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Machine Learning","Data Science","Predictive Analytics","Research"],"x-skills-preferred":["Attribution","Incrementality","Marketplace Experimentation","Causal ML"],"datePosted":"2026-03-06T07:27:51.396Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Machine Learning, Data Science, Predictive Analytics, Research, Attribution, Incrementality, Marketplace Experimentation, Causal ML"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0a84cbcb-28c"},"title":"Measurement Lead","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Measurement Lead to join their team in Redmond. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the AI industry. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Measurement Lead, you will be responsible for developing and applying measurement frameworks to quantify advertising impact. You will partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers. You will also build and maintain solid relationships with client&#39;s measurement, data science, and analytics teams as trusted strategic advisors.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.</li>\n<li>Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Master&#39;s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor&#39;s Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven expertise in modern measurement methodologies such as attribution, incrementality, experimentation design, and lift studies.</li>\n<li>Ability to translate complex data and analysis into business insights and strategic recommendations.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Solid cross-functional collaboration and communication skills.</li>\n<li>Experience in digital platforms or advertising measurement roles at scale.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary range of USD $106,400 – $203,600 per year.</li>\n<li>Comprehensive benefits package including health insurance, retirement plan, and paid time off.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_0a84cbcb-28c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/measurement-lead-2/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"USD $106,400 – $203,600 per year","x-skills-required":["data analysis","business intelligence","measurement methodologies","attribution","incrementality","experimentation design","lift studies"],"x-skills-preferred":["digital platforms","advertising measurement","data science","analytics"],"datePosted":"2026-03-06T07:25:18.794Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data analysis, business intelligence, measurement methodologies, attribution, incrementality, experimentation design, lift studies, digital platforms, advertising measurement, data science, analytics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":106400,"maxValue":203600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_636f9408-74c"},"title":"Measurement Lead","description":"<p><strong>Summary</strong></p>\n<p>Microsoft Ads are looking for a talented Measurement Lead at their San Francisco office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising advertising technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the measurement and insights markets.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Measurement Lead to join the Global Measurement and Insights (GMI) team and serve as a measurement, data and identity subject-matter expert, executing on measurement strategy and leveraging measurement solutions to empower advertisers to prove business impact in a privacy-safe world. You will play a pivotal role in shaping how advertisers quantify media effectiveness, develop advanced measurement approaches, and leverage data and identity to drive better decisions across Microsoft AI-enabled surfaces.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.</li>\n<li>Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor’s Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven expertise in modern measurement methodologies such as attribution, incrementality, experimentation design, and lift studies.</li>\n<li>Ability to translate complex data and analysis into business insights and strategic recommendations.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Solid cross-functional collaboration and communication skills.</li>\n<li>Experience in digital platforms or advertising measurement roles at scale.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary range: $106,400 - $203,600 per year.</li>\n<li>Comprehensive benefits package, including health insurance, retirement plan, and paid time off.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_636f9408-74c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft Ads","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/measurement-lead-3/","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$106,400 - $203,600 per year","x-skills-required":["data analysis","business intelligence","measurement methodologies","attribution","incrementality","experimentation design","lift studies"],"x-skills-preferred":["digital platforms","advertising measurement","data infrastructure"],"datePosted":"2026-03-06T07:24:57.521Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data analysis, business intelligence, measurement methodologies, attribution, incrementality, experimentation design, lift studies, digital platforms, advertising measurement, data infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":106400,"maxValue":203600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_874a5935-30f"},"title":"Measurement Lead","description":"<p><strong>Summary</strong></p>\n<p>Microsoft Ads are looking for a talented Measurement Lead at their Chicago office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising intelligent, privacy-forward measurement systems. You&#39;ll work directly with leadership to shape the company&#39;s direction in the measurement and insights markets.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Measurement Lead to join the Global Measurement and Insights (GMI) team and serve as a measurement, data and identity subject-matter expert, executing on measurement strategy and leveraging measurement solutions to empower advertisers to prove business impact in a privacy-safe world. You will play a pivotal role in shaping how advertisers quantify media effectiveness, develop advanced measurement approaches, and leverage data and identity to drive better decisions across Microsoft AI-enabled surfaces.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.</li>\n<li>Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor’s Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven expertise in modern measurement methodologies such as attribution, incrementality, experimentation design, and lift studies.</li>\n<li>Ability to translate complex data and analysis into business insights and strategic recommendations.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Solid cross-functional collaboration and communication skills.</li>\n<li>Experience in digital platforms or advertising measurement roles at scale.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Work arrangements: Hybrid</li>\n<li>Health and wellbeing benefits</li>\n<li>Professional development opportunities</li>\n<li>Financial benefits (bonus, equity, pension, etc.)</li>\n<li>Cultural perks (team events, office amenities, etc.)</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_874a5935-30f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft Ads","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/measurement-lead-4/","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"USD $106,400 – $203,600 per year","x-skills-required":["data analysis","business intelligence","measurement methodologies","attribution","incrementality","experimentation design","lift studies"],"x-skills-preferred":["digital platforms","advertising measurement","data infrastructure"],"datePosted":"2026-03-06T07:24:49.401Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago"}},"employmentType":"FULL_TIME","occupationalCategory":"Business Analytics","industry":"Technology","skills":"data analysis, business intelligence, measurement methodologies, attribution, incrementality, experimentation design, lift studies, digital platforms, advertising measurement, data infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":106400,"maxValue":203600,"unitText":"YEAR"}}}]}