Software Engineer

Want to help us help others? We're hiring!

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next  Senior Software Engineer, Privacy & Data Governance to join a growing team building and operating the technical infrastructure that ensures GoFundMe honors its data privacy and information management commitments at scale.

You will work across engineering, privacy, and compliance, partnering with Legal & Privacy to translate regulatory requirements into durable, production-grade services. That means building the systems that execute data subject requests, enforce data classification across our data ecosystem, and propagate consent signals from capture through every downstream system. 

If you enjoy building reliable, auditable systems under real regulatory pressure and getting the edge cases right, this role is for you.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Own Data Subject Request pipeline reliability end-to-end: When our DSR orchestrator reports a deletion failure or a pre-flight check flags an inconsistency, you investigate and resolve it [on a shared rotation / as part of normal triage, to confirm]. You'll build DSR handling pipelines that are auditable, resumable, and idempotent, and that can retry safely from an inconsistent state and hold up against third-party API timeouts, partial writes, and stalled event consumers.
• Own access, deletion, and objection processes at the data layer:  Maintain and extend the scripts and workflows that carry out individual-level privacy requests across our data warehouse, handling edge cases like legal holds, financial data exemptions, and users who appear across multiple systems under different identifiers.
• Build the systems that classify and protect personal data: Classify and tag personal and sensitive data, and enforce sensitivity tiers across our data catalog. Apply the right redaction method for the situation (e.g., hard delete, nullify, pseudonymize), using approved tokenization and encryption services where policy requires them.
• Drive consent signal propagation: Make sure consent state travels correctly from capture (analytics, retargeting, model training opt-outs, email subscription statuses) through tag managers, event pipelines, and downstream systems such as ad platforms, CDPs, and the data warehouse. Identify and close gaps where a signal is captured but doesn't reach a downstream system, or isn't honored end-to-end across web, mobile, email, and server-to-server channels. Help design and build a centralized consent source of truth.