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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP, Marketing Science & Technology-LinkedIn... - **Company:** LinkedIn Corporation - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $290,000.0 - **Contract:** Permanent contract - **Skills:** Ad Management, Artificial Intelligence, Data Analysis, Customer Data Management, Data Integration, Dataspaces, BIG-IP Global Traffic Manager (GTM), Large Language Models, User Identification - **Published:** June 11, 2026 - **Apply:** https://www.juju.com/job/00000000g72azh ## About the Role + 15+ years of experience in marketing science, analytics, measurement, data science, RevOps, advertising technology, or related fields. + 10+ years of executive-level leadership experience managing global, cross-functional teams. Preferred Qualifications + Deep expertise in marketing measurement methodologies, including attribution, incrementality, causal inference, experimentation, and media mix modeling. + Experience partnering with Product, Engineering, Sales, and GTM organizations to develop scalable measurement solutions. + Demonstrated experience engaging with senior executives and external customers on business strategy, marketing effectiveness, and measurement transformation. + Experience building and scaling high-performing analytics, data science, or marketing science organizations. + Strong understanding of AI, LLM-driven discovery, and agentic experiences, and their impact on marketing, measurement, and brand visibility. + Expertise in B2B marketing measurement and RevOps ecosystems, including account-level identity resolution, buying group journey mapping, and pipeline analytics. + Knowledge of privacy-safe measurement frameworks, first-party data ecosystems, Data Clean Rooms, and Privacy-Enhancing Technologies (PETs). + Proven ability to translate complex technical concepts into compelling customer-facing narratives and commercial outcomes. + Strong systems-thinking orientation with the ability to connect product, measurement, GTM, and customer strategy into a cohesive operating model. + Demonstrated ability to balance strategic vision with operational execution and measurable business impact. + Proven track record attracting, developing, and retaining top-tier analytical and technical talent. + Evidence-based, customer-obsessed leadership style with a bias toward innovation, collaboration, and action. Suggested Skills + Marketing Measurement & Attribution + Marketing Science & Experimentation + AI-Driven Marketing Strategy ## Description We're looking for a VP of Marketing Science & Technology to lead how LinkedIn proves, drives, and scales customer value through measurement. Marketing science is being rewritten. As LLMs and agentic experiences disrupt traditional discovery, decision-making, and buying, the questions customers ask are changing. This leader will build closed-loop systems that connect signal, measurement, and go-to-market execution into a single model, helping customers improve pipeline quality, buyer group engagement, sales velocity, conversion rates, and revenue efficiency across Enterprise and SMB growth motions. You'll serve as a trusted advisor to CMOs, CFOs, CPOs, Boards, and senior GTM leaders, shaping how the market understands AI, identity, measurement, and marketing effectiveness - and how organizations connect marketing investment to measurable business outcomes. This role combines deep technical expertise in measurement and attribution with commercial leadership and strategic vision, turning marketing science into a customer-facing competitive advantage. Responsibilities + Serve as the executive voice and external thought leader for the future of B2B measurement, marketing effectiveness, and AI-driven marketing transformation. + Engage with senior customer stakeholders, including CMOs, CFOs, CPOs, Boards, and product leaders, as a trusted advisor and peer. + Challenge traditional approaches to attribution and measurement, particularly in complex B2B buying environments with long sales cycles and multiple decision-makers. + Pioneer LinkedIn's point of view on LLM presence and agentic engine optimization, helping customers understand how brands are surfaced and represented within AI systems. + Build and lead a world-class Marketing Science organization focused on delivering end-to-end customer recommendations across measurement, campaign setup, creative optimization, and data integrations. + Define and evolve LinkedIn's methodologies for scientific rigor, including causal inference, geo-testing, incrementality, conversion lift, and unified B2B measurement frameworks. + Establish the long-term vision, operating model, and strategic roadmap for the organization while enabling scalable execution. + Drive measurable business impact by improving customer ROI, marketing efficiency, pipeline contribution, conversion performance, and revenue outcomes. + Connect marketing, product, measurement, and GTM execution into a unified operating model through systems thinking and cross-functional leadership. + Partner closely with Product and Engineering to develop scalable, productized measurement capabilities and testing frameworks. + Lead the transformation of bespoke measurement solutions into scalable platform features and native advertiser experiences. + Architect LinkedIn's strategy for privacy-safe measurement and addressability, including first-party data strategies, Data Clean Rooms, identity resolution, and Privacy-Enhancing Technologies (PETs). + Recruit, develop, and retain exceptional talent across marketing science, analytics, and measurement disciplines., A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Employee Advocacy: The Secret Weapon of Employer Branding](https://www.wearedevelopers.com/videos/1304-employee-advocacy-the-secret-weapon-of-employer-branding) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Your First Pitch Is to AI: How to Make Your Brand/Product Visible in the Age of Generative Search](https://www.wearedevelopers.com/videos/100121-your-first-pitch-is-to-ai-how-to-make-your-brand-product-visible-in-the-age-of-generative-search) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Got AI ideas but no money? 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