Group Product Manager, Data Platform Engineering

Remote

Apply with AI Apply

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. They should have a proven track record of delivering data and analytical products and services used by multiple teams, 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 essential. The ability to collaborate and influence multiple stakeholder teams to achieve results is also required. Availability for critical meetings between 15:00 UTC and 18:00 UTC and openness to international travel up to four times per year are necessary.

Responsibilities

The Group Product Manager will lead strategic decision-making and tactical execution for Data Products, Data Engineering, Search, and Data Platform Site Reliability teams. This role involves guiding the evolution of data pipelines, data lake, experiment platform, and analytics tools, including ingestion, orchestration, computation, and data serving using various technologies. Key responsibilities include ensuring the accuracy, usefulness, reliability, and accessibility of data products, defining and prioritizing roadmaps for Data Platform Engineering teams, and managing the product lifecycle for these teams. The role also entails co-developing product strategy, providing leadership, making sound decisions, managing and developing a team of product managers, and partnering with user-facing teams to leverage the data platform for product decisions and derived-data products.

Skills

Data Platforms

Data Engineering

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.

Land your dream remote job 3x faster with AI

Try Jobo Free