Wikimedia Foundation

Senior Engineering Manager, Experiment Platform

Remote

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

Engineering Manager, Experiment Platform Team

Overview

Join the Wikimedia Foundation in our mission to make Wikipedia and other projects better at freely sharing the sum of all knowledge. We are building a privacy-preserving experimentation platform to enable data-driven decisions across our products at a global scale. The Experiment Platform Team is actively developing and maintaining this infrastructure, providing product teams with A/B testing, feature flags, and experiment analysis capabilities. This platform will empower over 10 product teams across the Wikimedia Foundation to test product decisions through privacy-preserving experimentation.

Job Description

As the Engineering Manager for the Experiment Platform Team, you will lead a small, high-performing team of engineers in building the experimentation platform. This role offers an exciting opportunity to shape the platform's architecture and capabilities. You will collaborate with product analytics teams, SRE, and data engineering to ensure the platform meets the needs of product teams while upholding the highest standards for privacy, reliability, and performance. In close partnership with the Product Manager, you will translate product vision into technical roadmaps, balancing feature requests from product teams with the platform's reliability and scalability requirements.

This is a fully remote position. Some travel is required 2–3 times a year for off-sites and other events.

Responsibilities

  • Foster a supportive team environment, ensuring diverse voices are heard and team members feel empowered to lead.
  • Coordinate and lead key team rituals such as sprint and capacity planning, estimation, and stand-ups to ensure smooth execution and alignment.
  • Manage team workstreams by tracking progress, resolving blockers, and managing cross-team dependencies.
  • Coach engineers in the art and science of software engineering and evolvable software architecture.
  • Guide team member career growth through structured development techniques and career growth planning.
  • Own technical decisions and work closely with the team to find the best solutions to complex problems.
  • Partner with Product to help product teams adopt the platform and provide guidance on experimentation best practices.
  • Facilitate conversations about the long-term technical strategy for the Experiment Platform.
  • Partner closely with the Product Manager to prioritize platform capabilities and define technical requirements.
  • Balance timely feature delivery with quality, reliability, and scalability requirements.
  • Be a strong voice, leader, and collaborator in team activities, including code review culture, ceremonies, and work allocation.
  • Partner with peers on cross-team delivery and communicate organizational updates.
  • Collaborate with product analytics to ensure the platform supports meaningful experiment analysis.

Skills and Experience

  • 3+ years of experience managing engineering teams, preferably working on data platforms or developer tools.
  • Strong technical background with the ability to make architectural decisions and guide technical discussions.
  • Experience with distributed systems and scaled web applications.
  • Understanding of A/B testing methodologies and statistical concepts.
  • Experience managing projects with multiple stakeholder teams.
  • Commitment to open source values and collaborative development.
  • Experience with cloud platforms and container orchestration.
  • Knowledge of observability tools and practices.

Qualities That Are Important to Us

  • A desire to make meaningful contributions to knowledge equity, free culture, and open access.
  • Experience working on remote teams, especially globally distributed teams.

Additionally, We’d Love It If You Have

  • Familiarity with MediaWiki or similar content management systems.
  • Experience building or operating experimentation platforms.
  • Open source contribution experience.
  • Experience with privacy-preserving analytics techniques.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that supports Wikipedia and other free knowledge projects.

Skills

Experimentation Platform
A/B Testing
Feature Flags
Experiment Analysis
Data-Driven Decisions
Privacy-Preserving Experimentation
Software Engineering
Software Architecture
Team Leadership
Product Roadmaps
Scalability
Reliability
Performance

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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