Top Tech Jobs & Startup Jobs in Charlotte, NC

The Email Developer (Fundraising) will produce and optimize email campaigns, ensuring quality and functionality while collaborating with teams on multilingual fundraising efforts.

As a Senior Site Reliability Engineer, you will manage and improve Wikimedia's infrastructure, handle operational tasks, automate processes, and provide mentorship while participating in a 24/7 on-call rotation.

As a Software Engineer III, you will contribute to the App Growth and Moderator Tools teams, building web-first features, APIs, and improving user experiences while collaborating cross-functionally.

The Senior Data Scientist will integrate data from various sources, analyze web performance, and provide insights for strategic decision-making. Responsibilities include developing automated systems for content coverage, tracking metrics, and designing experiments to assess new initiatives' impact.

As the Product Manager for the Connection team, you'll manage product development, coordinate with teams, and focus on enhancing the contributor experience for Wikimedia projects.

As Legal Counsel, you will advise teams on legal issues related to product development, review new products, draft user-facing documents, and monitor legal developments.

The Senior Software Engineer will enhance mobile Wikipedia experiences through web-first features, collaborate cross-functionally, and mentor team members while delivering API-driven solutions.

The Lead Technical Program Manager will drive cross-functional programs, manage risks, and build stakeholder relationships while ensuring strategic alignment with operational goals.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.