Product Manager, Marketing Technology

Oakland, CA / New York, NY / United States - RemoteTechnology – Product Management / Martech /HybridAbout the Companye.l.f. Beauty's purpose is to make the world a better place for every eye, lip, and face. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, e.l.f. Hair, Well People, Naturium and rhode.In our Fiscal year 26, we had net sales of $1.6 Billion and our business performance has been nothing short of extraordinary with 7 consecutive years of net sales growth. This consistent, category-leading growth is a testament to the strength of our team, strategy, and portfolio of brands. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last seven fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: About the Rolee.l.f. Beauty is looking for a Product Manager, Marketing Technology to own the strategy, roadmap, and execution of our marketing technology ecosystem. This is a technical, data-forward product role embedded within the Digital team — sitting at the intersection of customer data, platform architecture, and activation.You will be the product manager for our engagement platform, Customer Data Platform (CDP), AI-driven personalization, and the integrations that depend on customer data. The core mission of this role is to unlock the full value of our customer data: making it clean, accessible, well-mapped, and actionable across paid media, owned messaging, personalization, and commerce. You will own the customer data strategy end-to-end and serve as the internal authority on how each data point is defined, collected, mapped, and activated downstream.This role requires someone who is equally comfortable in a technical architecture conversation as they are presenting a product roadmap to senior stakeholders. You will partner closely with Product, Commerce, Data, Integrated Marketing, and Engineering to deliver scalable, reliable, and future-ready platforms that drive measurable business outcomes.What You'll Own:Customer Data Platform (CDP): Full product ownership of the CDP — from data ingestion and identity resolution through audience segmentation, profile unification, and downstream activation.Engagement Platform: Own the product roadmap for our customer engagement and lifecycle messaging platform (e.g., email, SMS, push), ensuring it is powered by accurate and real-time customer data.AI Agents: Partner with Engineering and Data to define, build, and deploy AI agents that leverage customer data to unlock key marketing use cases across the organization — including audience activation, personalized messaging, paid media optimization, and lifecycle automation.Integrations & Data Pipelines: Own the integration layer connecting customer data to paid media platforms, ad tech, CRM, commerce, and analytics — ensuring data fidelity, latency, and governance at every connection point.Customer Data Strategy: Define and maintain the company's customer data strategy, including data taxonomy, schema ownership, event instrumentation standards, consent management, and cross-platform identity resolution.Responsibilities:Platform & Product StrategyDefine and execute a multi-quarter product roadmap across the MarTech stackOwn the end-to-end product lifecycle: discovery, requirements, backlog prioritization, delivery, and post-launch iterationDrive build vs. buy decisions with rigorous evaluation of third-party vendors and platform consolidation opportunitiesServe as the internal subject matter expert on CDP capabilities, limitations, and the broader MarTech ecosystemCustomer Data OwnershipMaintain the master customer data dictionary: own how every data point is defined, collected, stored, mapped, and used across platformsArchitect identity resolution and profile management strategies to support a unified customer view across channels and touchpointsPartner with Data team to define event streaming standards, schema governance, and data qualityEnsure all customer data integrations are compliant with privacy regulations (GDPR, CCPA, CAN-SPAM) and internal consent policiesActivation & Use Case DeliveryTranslate marketing and business strategy into specific platform capabilities — enabling personalization, audience activation, lifecycle messaging, and paid media targetingDefine audience segmentation models and work with data and engineering teams to operationalize them within the CDPEnable real-time and batch data activation to downstream channels: email, SMS, push, paid social, programmatic display, and onsite personalizationPartner with the Integrated Marketing team to ensure data availability and accuracy for campaign execution across all channelsCross-Functional CollaborationAct as the primary liaison between the Digital team and Engineering, Data, Commerce, Product, and Integrated Marketing stakeholdersTranslate complex technical concepts clearly for non-technical marketing and business audiences — and vice versaManage vendor relationships for CDP, engagement, and AI platforms; own contract alignment and technical roadmap negotiationsAlign platform priorities with the broader digital product strategy and commerce roadmapRequirements:3-5 years of product management experience, with a significant focus on marketing technology, customer data platforms, or digital data infrastructureHands-on, working knowledge of CDP platformsDemonstrated experience owning an engagement or lifecycle marketing platform (e.g., Braze, Salesforce Marketing Cloud, Iterable, or similar)Deep understanding of customer data concepts: identity resolution, event-driven architectures, behavioral data, first-party data strategy, audience segmentation, and real-time profile unificationStrong grasp of API integrations, data pipelines, and system architecture — able to work fluently with engineering on technical designExperience defining and managing data schemas, event taxonomies, and data mapping documentationProven track record of shipping complex, cross-functional platform products in an agile environment$80,000 - $130,000 a yearThe base salary range for this role is listed above. Total compensation includes base salary, annual company-based performance bonus, and equity. Under e.l.f.’s annual bonus program, employees are eligible to earn up to 200% of their target bonus when company performance exceeds defined goals. In addition, e.l.f. provides a variety of other benefits to employees, including medical, dental, and vision insurance, a retirement savings plan, gender neutral parental leave, and unlimited paid time off. The amount of total compensation (including base salary) offered will be based on a wide range of factors, including geographic location, experience, specific skills, and qualifications.Compensation components are subject to change at the company’s discretionThis job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion.e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice ( for how your personal information is used and shared.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.