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Salary
$80k – $130k per year
Location
In office (Oakland)
Seniority
Middle · 3+ years exp
Overview
Company
Impact
Profile match
Beauty is a brand that aims to disrupt industry norms, shape culture, and connect communities through positivity, inclusivity, and accessibility. They offer a range of clean and cruelty-free products that provide premium quality at accessible prices. With a focus on delighting their consumers, e.l.f. Beauty is inspired by and values their customers, making them the core of everything they do. They believe in doing the right thing and lead with honesty and integrity, refusing to take shortcuts. Working together as a team is important to them, as they treat each other with respect and leverage each other's strengths. They prioritize execution with speed and quality, ensuring that their consumers have an exceptional experience with their products. Established in 2004, e.l.f. Cosmetics was the OG digital disruptor, and later expanded their portfolio to include W3LL PEOPLE and Keys Soulcare. With numerous awards and accolades, e.l.f. Beauty stands as a leading mass beauty brand that celebrates the beauty of every eye, lip, face, and paw. Sign up to stay up to date with their latest news and offerings.

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
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