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Senior Engineering Manager, Experiment Platform at Wikimedia Foundation. Location Information: North America, Europe. New. Senior Engineering Manager, Experiment Platform. Remote. Apply. ENGINEERING MANAGER, EXPERIMENT PLATFORM TEAM. Overview. Join us as we collaborate to make Wikipedia and others projects better at freely sharing in the sum of all knowledge. The Wikimedia Foundation, which hosts and supports Wikipedia, is building a privacy-preserving experimentation platform to enable data-driven decisions across our products at 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 enable 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 building the experimentation platform. In this role, you have an exciting opportunity to shape its architecture and capabilities. You will work alongside product analytics teams, SRE, and data engineering to ensure the platform meets the needs of product teams while maintaining the highest standards for privacy, reliability, and performance. You will work in close partnership with the Product Manager to translate product vision into technical roadmaps, balancing feature requests from product teams with platform reliability and scalability needs.. 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 growths through structured development techniques and career growth. Own technical decisions and working closely with the team to find best solutions to hard problems. Partner with Product to help product teams adopt the platform and provide guidance on experimentation best practices. Facilitate conversations about 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 on team activities including code reviews culture, ceremonies, and work allocation.. Partner with peers on cross-team delivery and radiating 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 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 operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. 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 charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. 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.. The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries. *. . Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$152,878 to US$325,030 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. 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 Kingdom, United States of America and Uruguay. Our non-US employees are hired through a local third party Employer of Record (EOR). . We periodically review this list to streamline to ensure alignment with our hiring requirements. . All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.. If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at [email protected] or +1 (415) 839-6885.. More information. U.S. Benefits & Perks. Applicant Privacy Policy. Wikimedia Foundation. What does the Wikimedia Foundation do?. What makes Wikipedia different from social media platforms?. Our Projects. Our Tech Stack. News from across the Wikimedia movement. Wikimedia Blog. Wikimedia 2030. . Create a Job Alert. Interested in building your career at Wikimedia Foundation? Get future opportunities sent straight to your email.. Create alert. Apply for this job. *. indicates a required field. Autofill with Greenhouse. First Name. *. Last Name. *. Preferred First Name. *. Email. *. Phone. *. Location (City). *. Locate me. Resume/CV. *. Attach. 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