Privacy Engineer

Robinhood · New York, NYmid

En corto

▸Ingeniero de privacidad que diseña sistemas seguros y cumple con regulaciones globales.
▸Usa IA y agentes para automatizar revisiones de privacidad y escalar operaciones.
▸Destacado: liderazgo en integrar inteligencia artificial en procesos de privacidad.

Proficiency in English required for collaboration across global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Título en Ciencias de la Computación, Sistemas de Información, Ciberseguridad o campo técnico relacionado.
✓2+ años en privacidad de datos, seguridad o ingeniería de privacidad con experiencia práctica.
✓Experiencia comprobada en construcción y uso de agentes de IA y sub-agentes.
✓Conocimiento de regulaciones como GLBA, GDPR y CCPA aplicadas a sistemas técnicos.
✓Experiencia con tecnologías que protegen la privacidad y prácticas de anonimización de datos.
✓Habilidades de comunicación clara y colaboración con equipos legales y técnicos.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

AI agentssub-agentsprivacy-by-designprivacy-enhancing technologiesdata anonymizationsecure data lifecycleGLBAGDPRCCPAcross-functional collaboration

¿A quién escribirle en Robinhood?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Privacy Engineering team’s mission is to protect the trust of our customers by embedding privacy into every layer of Robinhood’s technology and culture. We collaborate across Engineering, Product, Legal, and Compliance to make sure privacy, data governance, and security are integral to every initiative. As a Privacy Engineer, you’ll lead privacy reviews, guide the design of privacy-enhancing technologies, and help scale our privacy-by-design programs — while also championing the use of AI and agentic tooling to transform how the team runs privacy operations and processes. This role is based in our New York, NY office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do • Conduct detailed privacy architecture reviews to identify potential risks, recommend controls, and ensure privacy-by-design is built into every technical layer • Partner with Engineering, Product, Legal, and Compliance to implement privacy-by-design in systems, applications, and workflows from inception to launch • Build and use AI agents and sub-agents to automate and scale privacy operations • Guide the selection and deployment of privacy-enhancing technologies (PETs), ensuring alignment with our technical architecture and regulatory requirements • Advise stakeholders and adjust practices to maintain compliance in alignment with development in global privacy regulations, standards, and technologies • Lead internal efforts to share best practices and increase awareness of privacy principles across engineering and technical teams What you bring • You have a Bachelor’s or Master’s degree in Computer Science, Information Systems, Cybersecurity, or a related technical field • You bring 2+ years of experience in data privacy, security, or privacy engineering, including hands-on work with privacy architectures • You’re highly proficient with AI, with hands-on experience building and utilizing agents and sub-agents to solve real operational or technical problems • You’ve managed both technical and operational processes at the same time, and know how to prioritize when things move fast • You’re familiar with regulatory frameworks like GLBA, GDPR and CCPA and understand how to apply them to technical systems • You’ve worked with privacy-enhancing technologies and understand data anonymization and secure data lifecycle practices • You’re a clear communicator who builds strong cross-functional partnerships, including with legal teams, and can explain complex technical topics to both technical and non

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