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WP Engine empowers companies and agencies of all sizes to build, power, manage, and optimize their WordPress websites and applications with confidence. Serving 1.5 million customers across 150+ countries, the global technology company provides premium, enterprise-grade solutions, tools, and services, including specialized platforms for WordPress, industry-tailored eCommerce and agency solution suites, and developer-centric tools like Local, Advanced Custom Fields, and more. WP Engine’s innovative technology and industry-leading expertise are why 8% of the web visits a WP Engine-powered site daily. Learn more at wpengine.com.

What’s Cool About This Role:

We’re seeking a Senior, Product Manager - Data to join our growing Corporate Data team. In this role, you will define and deliver internal data products and insights that serve teams across WP Engine. You’ll partner with business stakeholders, Data Engineering, and BI to identify opportunities, shape solutions, and own delivery from source data through trusted models, analytics, reporting, and self-service experiences. Your responsibilities will span discovery, prioritization, delivery, launch, adoption, and measurement, with a focus on creating scalable data products that solve meaningful business problems.

This role is ideal for someone with strong product instincts, technical aptitude, and a passion for connecting business needs to reliable data and actionable insights.

•  You’ll drive real impact by improving how teams across WP Engine use trusted data and insights to make decisions.

•  You’ll own high-visibility, end-to-end data product outcomes across Data Engineering and BI.

•  You’ll be part of a collaborative and fast-growing data organization focused on measurable business value.

Day to Day:

•  Champion the internal customer experience: Understand what it’s like to find, understand, and use data and insights as an analyst, engineer, or business leader outside the data team. Advocate for intuitive, reliable experiences that meet real user needs.

•  Own end-to-end data product delivery: Lead products from discovery and requirements through Data Engineering development, BI and analytics delivery, validation, launch, adoption, and ongoing improvement.

•  Drive product discovery and strategy: Define business problems, run research and validation, set product direction, and build roadmaps that connect data capabilities and insights to measurable outcomes.

•  Partner across Data Engineering and BI: Work closely with engineering, analytics, and BI teams to translate business needs into governed data models, pipelines, metrics, dashboards, reporting, and self-service capabilities.

•  Collaborate with stakeholders: Build strong cross-functional relationships across the organization to uncover data and insight needs, identify opportunities, define success measures, and drive alignment.

•  Build trust in data products: Partner with engineering, analytics, architecture, and governance stakeholders to improve data quality, consistency, lineage, usability, and reliability across the products you own.

•  Manage the product backlog: Lead prioritization and trade-off discussions across Data Engineering and BI, balancing near-term business value with scalability, maintainability, and long-term data health.

•  Measure adoption and outcomes: Define success metrics for data products and insights, use feedback and usage signals to evaluate value, and continuously improve the customer experience.

•  Write clear user stories and acceptance criteria: Translate business requirements into actionable work that supports seamless collaboration across Data Engineering and BI.

•  Operate in Agile environments: Coordinate closely with engineering, BI, analytics, and program partners to deliver iteratively, improve velocity, manage dependencies, and respond to changing needs.

Minimum Qualifications:

•  5+ years of experience in Product Management, ideally within data-centric or analytics-heavy environments.

•  Proven experience owning end-to-end delivery of data products and insights across Data Engineering and BI, from discovery through launch, adoption, and iteration.

•  Experience working with modern data ecosystems, including data ingestion, transformation, orchestration, warehousing, modeling, governance, analytics, reporting, and self-service capabilities.

•  Experience working with enterprise systems such as NetSuite, Salesforce, HubSpot, etc., to support data warehousing, integration, modeling, and business intelligence initiatives.

•  Proven success managing the product lifecycle across multiple internal-facing data products, analytics products, or business insight experiences.

•  Strong business acumen and the ability to translate ambiguous business problems into clear data product requirements, priorities, and measurable outcomes.

•  Excellent communication skills, with the ability to clearly articulate product decisions, technical concepts, strategy, and trade-offs to both technical and non-technical audiences.

•  Solid knowledge of the software implementation lifecycle, particularly in the context of Agile data product development across engineering and BI teams.

•  High attention to detail and ability to manage competing priorities, dependencies, and cross-functional delivery effectively.

•  Demonstrated team player with a hands-on approach to problem solving and delivering outcomes across cross-functional teams.

The Perks and Benefits

• Company Stock Options (Every employee is an owner in the company)
• Great Health Benefits (Medical, Dental, Fertility)
• Paid Family and Caregiver’s Leave
• Employee Assistance Program
• Generous Vacation Time (Who doesn’t like time off)
• €430 one-time work from home allowance
• 4 Company Wellness Days a year
• Bike to work program
• Pension, 5% company match
• On-going education through LinkedIn Learning, Workday Learning and our Career Growth Portal
  
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