Wikimedia Foundation

Group Product Manager, Data Platform Engineering

Remote

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Non-profit, Biotechnology, MediaIndustries

Requirements

Candidates must have a minimum of 5 years of product management experience with data or infrastructure products, including experience hiring and managing product managers. Proven success in delivering data and analytical products and services relied upon by multiple teams is essential, along with expertise in data analytics, A/B testing, search, and data architecture. A strong understanding of modern high-scale data handling techniques, knowledge of search technologies, and experience navigating data privacy issues are also required. The ability to influence and collaborate with multiple stakeholder teams to achieve results is crucial. Candidates must be available for critical meetings between 15:00 UTC and 18:00 UTC and open to international travel up to four times per year. Experience with open source, open data, or open knowledge communities is a plus.

Responsibilities

The Group Product Manager will guide the strategic decision-making and tactical execution for Data Products, Data Engineering, Search, and Data Platform Site Reliability teams. This role involves managing and developing a team of two product managers, overseeing the evolution of data pipelines, data lake, experiment platform, and analytics tools, including ingestion, orchestration, computation, and data serving. Responsibilities include ensuring the accuracy, usefulness, reliability, and accessibility of data products, defining and setting priorities and roadmaps for Data Platform Engineering teams across four domains, and managing the product lifecycle of their services and tools. The role also entails co-developing product strategy, providing leadership, making sound decisions, and partnering with user-facing product teams to leverage the data platform for product decisions and derived-data products.

Skills

Data Platforms
Data Engineering
Search
Data Pipelines
Data Lake
Experiment Platform
Analytics Tools
Kafka
Flink
Hadoop
Spark
Airflow
Iceberg
Kubernetes
Superset
OpenSearch
Product Analytics
People Management
Strategic Decision-Making
Tactical Execution

Wikimedia Foundation

Operates Wikipedia and free knowledge projects

About Wikimedia Foundation

The Wikimedia Foundation operates Wikipedia and other free knowledge projects, aiming to create a world where everyone can freely access and share knowledge. It provides a platform for users to read, contribute, and share content, while also supporting the volunteer communities that help maintain these projects. The foundation is funded by donations from individuals and institutions, emphasizing its nonprofit status. Unlike many other organizations, it focuses on making knowledge accessible to all without charge, advocating for policies that support free knowledge initiatives. Its goal is to empower individuals to contribute to and benefit from a collective pool of knowledge.

San Francisco, CaliforniaHeadquarters
2003Year Founded
$145.9MTotal Funding
GRANTCompany Stage
Social Impact, EducationIndustries
501-1,000Employees

Benefits

Remote Work Options

Risks

Reliance on Nvidia's AI tech may affect Wikimedia's data processing autonomy.
DSA audit could reveal vulnerabilities requiring significant resources to address.
Decentralized platforms like Mastodon may divert users from Wikipedia.

Differentiation

Wikimedia Foundation operates the world's largest free online encyclopedia, Wikipedia.
It supports a diverse range of projects like Wiktionary and Wikisource.
The Foundation is a non-profit, relying on global donations for funding.

Upsides

Nvidia's NeMo Retriever tech reduced Wikipedia processing time from 30 days to 3 days.
Holistic AI's audit under the DSA enhances Wikimedia's platform safety and accountability.
Collaboration with Open Foundation West Africa combats misinformation during Ghana's elections.

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