GiveDirectly is the first - and largest - nonprofit that lets donors like you send money directly to the world’s poorest. We believe people living in poverty deserve the dignity to choose for themselves how best to improve their lives - cash enables that choice.
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Manage end-to-end technical delivery for program launches - leading scoping, requirements gathering, system configuration and implementation, QA and testing, troubleshooting, and closeout
Collaborate with Operations, Product, Research, Engineering, and Data teams to ensure systems are aligned with program objectives and work seamlessly in field conditions
Debug and resolve issues across multiple layers of our technology stack, including our recipient database and offline survey app
Scope and manage cross-cutting systems improvements to improve efficiency, scale, and/or recipient experience, with mentorship
Ensure all systems comply with GD’s standards for data protection, privacy, and financial controls
Manage technical training and onboarding for operations staff and collaborators
Lead retrospectives on program launches and technical incidents to contribute to continued system improvements
What you’ll bring:
Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve.
3+ years of professional experience; we welcome a wide range of relevant backgrounds (e.g. project management, product management, data analytics, international development, management consulting).
Strong data skills: able to leverage tools to extract, clean, manipulate, and analyze data to make operational decisions.
Strong project management experience: experience in managing timelines, stakeholders, and complex deliverables.
Deep comfort with Microsoft Excel/Google Sheets.
Intermediate experience using a programming or scripting language (most commonly Python at GD) to automate workflows, validate data, or implement business logic. Note: This is not an engineering or data science job.
Significant interest in technology, systems design and building.
High attention to detail and strong instincts for analysis and validating data creatively and rigorously.
Structured approach to problem-solving and a drive to uncover and fix root causes rather than surface-level issues.
Ability to collaborate inclusively with stakeholders across varied social, national, and cultural backgrounds, including communicating technical concepts to both technical and non-technical stakeholders.
Fluency in English.
Preferred, not required: Experience working with relational databases (e.g. SQL).
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