• Design, build, and maintain backend services that advance the company’s public benefit mission and support open data and open knowledge initiatives, ensuring reliability, scalability, and measurable societal impact. • Collaborate with cross-functional partners to translate public benefit objectives and open science principles into technical requirements and system designs. • Architect and maintain backend systems that reliably serve large user bases and high-volume data workloads, while prioritizing data transparency, accessibility, and ethical use. • Collaborate with engineering and product teams to design robust APIs and open data interfaces that empower external researchers, partners, and the public. • Prototype and research new tools for improving existing data infrastructure (e.g., vector databases, distributed data systems, high-performance storage layers), with an emphasis on sharing and enabling open science. • Be involved in code reviews, unit testing and development strategies in an agile environment. • Influence culture, recruit new engineers, and shape a rapidly growing startup. • Help shape our engineering culture, contributing to best practices and lessons you’ve learned throughout your career.