About the Company

e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. 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, pioneering clean beauty brand Well People, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time.

In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 29 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six 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.

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:

Platform & Product Strategy

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

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