[ref. c53484516] Amsterdam - Senior Product Manager, Data Platform

Summary

Our vision is a world in which every single human being can freely share in the sum of all human knowledge– including access to data for research, feature development, and advancing artificial intelligence responsibly.

• Help drive product strategy for our evolving Data Platform, ensuring a cohesive data lifecycle for internal teams while making open data easily accessible to the public
• Break down complex workflows and data challenges into actionable platform capabilities
• Develop a deep understanding of:
• - Platform user needs across internal teams and public consumers
• Analytics data generated by billions of monthly users
• Media Wiki's data production architecture and data model
• Collaborate with globally distributed teams, including Principal Engineers and product teams
• Work flexible hours with core overlap time from 2-6 pm UTC.

• Execute product vision aligned with organizational goals and strategy
• Translate user needs into clear requirements and actionable stories
• Design scalable platform changes while balancing optimization, feature development, and resource constraints
• Lead cross-functional collaboration with engineering teams and stakeholders
• Drive data-informed decision-making through qualitative and quantitative methods
• Manage stakeholder expectations and platform product requests effectively
• Engage with our technical community through regular communications and progress updates

• 3-5+ years leading product teams
• Strong experience in data platform product management focusing on one or more:
• - Data pipelines
• Analytics
• Experimentation
• Data snapshots
• ML/AI
• Data infrastructure
• Proven ability to
• - Break down complex problems into actionable roadmaps focused on outcomes
• Manage self-hosted 3rd party software integrations
• Communicate technical concepts to diverse audiences
• Balance competing priorities from multiple stakeholders
• Drive platform capability improvements

• Alignment with our values
• Strong collaborative mindset with the ability to foster inclusive decision-making
• Experience with large-scale, global data ecosystems
• Deep problem-solving skills
• Passion for technical details without losing strategic focus

• Familiarity with one or more:
• - Data workflow tools (e.g. Apache Airflow)
• Data visualization (e.g. Superset, Grafana, Tableau)
• Data discovery platforms (e.g. Data Hub)
• Event-driven architectures
• Experimentation platforms (e.g. Growthbook)
• Strong SQL and data querying skills
• Experience with:
• - on-premises infrastructure
• Large monolithic systems
• Wikipedia editing or technical contribution
• International distributed teams

Our work environment

You'll join a geographically distributed team and report to the Group Product Manager, Data Platform. We operate lean teams with significant maintenance scope and ambitious goals to scale the Wikimedia Foundation's data capabilities. Our work directly impacts billions of users while advancing open knowledge accessibility.

About the Wikimedia Foundation

We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.

The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

• Please note that we are currently able to hire in the following countries: Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Arab Emirates, United Kingdom, United States of America and Uruguay. Our non-US employees are hired through a local third party Employer of Record (EOR).

Wikimedia 2030