Own the MarTech product roadmap and execution for CDP, engagement platforms, AI-driven personalization, and integrations. Define customer data strategy, taxonomy, identity resolution, and activation for personalization, paid media, and lifecycle messaging while partnering with Data, Engineering, Commerce, and Marketing.
About the Company
e.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: https://www.elfbeauty.com/work-with-us
About the Role
e.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:
- Define and execute a multi-quarter product roadmap across the MarTech stack
- Own the end-to-end product lifecycle: discovery, requirements, backlog prioritization, delivery, and post-launch iteration
- Drive build vs. buy decisions with rigorous evaluation of third-party vendors and platform consolidation opportunities
- Serve as the internal subject matter expert on CDP capabilities, limitations, and the broader MarTech ecosystem Customer Data Ownership
- Maintain the master customer data dictionary: own how every data point is defined, collected, stored, mapped, and used across platforms
- Architect identity resolution and profile management strategies to support a unified customer view across channels and touchpoints
- Partner with Data team to define event streaming standards, schema governance, and data quality
- Ensure all customer data integrations are compliant with privacy regulations (GDPR, CCPA, CAN-SPAM) and internal consent policies Activation & Use Case Delivery
- Translate marketing and business strategy into specific platform capabilities — enabling personalization, audience activation, lifecycle messaging, and paid media targeting
- Define audience segmentation models and work with data and engineering teams to operationalize them within the CDP
- Enable real-time and batch data activation to downstream channels: email, SMS, push, paid social, programmatic display, and onsite personalization
- Partner with the Integrated Marketing team to ensure data availability and accuracy for campaign execution across all channels Cross-Functional Collaboration
- Act as the primary liaison between the Digital team and Engineering, Data, Commerce, Product, and Integrated Marketing stakeholders
- Translate complex technical concepts clearly for non-technical marketing and business audiences — and vice versa
- Manage vendor relationships for CDP, engagement, and AI platforms; own contract alignment and technical roadmap negotiations
- Align platform priorities with the broader digital product strategy and commerce roadmap
Platform & Product Strategy
Requirements:
- 3-5 years of product management experience, with a significant focus on marketing technology, customer data platforms, or digital data infrastructure
- Hands-on, working knowledge of CDP platforms
- Demonstrated 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 unification
- Strong grasp of API integrations, data pipelines, and system architecture — able to work fluently with engineering on technical design
- Experience defining and managing data schemas, event taxonomies, and data mapping documentation
- Proven track record of shipping complex, cross-functional platform products in an agile environment
The 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 discretion
This 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 (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared.
E.L.F. Beauty Oakland, California, USA Office
570 10th Street, Oakland, CA, United States, 94607
Similar Jobs
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads New York Life’s AI Center of Excellence across frontier AI provider relationships, AI software lifecycle standards, platform architecture, governance integration, talent acquisition, upskilling, and production delivery. Builds and manages West Coast AI engineering teams, evaluates emerging AI technologies, establishes scalable governance and engineering practices, and owns measurable business outcomes from enterprise AI solutions. Provides senior leadership coverage for West Coast partners and coordinates with Home Office leadership.
Top Skills:
Agentic ArchitecturesAi EvaluationAi ObservabilityArtificial IntelligenceCi/CdContent ControlsFoundation ModelsGuardrailsInference InfrastructureLogging And AuditabilityMachine LearningModel And Prompt VersioningModel RegistryModel RoutingRetrieval And Context Management
Information Technology
Designs and delivers Snowflake data architectures on AWS, including dbt-based data engineering and AI-enabled solutions. Leads RAG, vector search, embedding, semantic search, and analytics initiatives from proof of concept through production. Directs project teams, oversees solution quality and budgets, supports proposals and business cases, and serves as a trusted technical advisor to clients. Requires strong data engineering, governance, documentation, communication, and stakeholder-management skills, with travel as needed.
Top Skills:
AWSDbtEmbedding PipelinesGenerative AiPrompt OrchestrationRetrieval-Augmented GenerationSemantic SearchSnowflakeSQLVector Search
Information Technology
Provide customer-facing Microsoft infrastructure support in a case-based break/fix environment. Troubleshoot and resolve Azure, Microsoft 365, Windows Server, and related technology issues; manage cases, document resolutions, meet SLAs, collaborate with peers and Microsoft support, and participate in on-call coverage. The role also involves customer communication, technical documentation, mentoring, training, and identifying potential customer needs.
Top Skills:
Active DirectoryIntuneMicrosoft 365AzureMicrosoft SupportSccmWindows Server
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
