Binance - Privacy Automation Engineer
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Requirements
• Bachelor's degree or above in Computer Science, Engineering, Information Systems, or a related field • 3–5 years shipping production software, with demonstrable AI/LLM work in at least one real project you can walk us through — LLM-based automation, AI-enabled workflow tools, or a RAG/agent system built and deployed to users • Strong Python proficiency; experience with REST API integrations • Hands-on LLM/GenAI experience — prompt engineering, evals, and responsible deployment practices • Experience building web applications, dashboards, and internal tooling • Strong information security mindset with a zero trust philosophy; treats access, data handling, and system design with security as a first principle • 2–3 years in a privacy, data protection, compliance, or information governance role • Solid GDPR knowledge; familiarity with CCPA/CPRA, ePrivacy Directive or equivalent a plus • Familiar with DSAR processes, privacy risk assessments, and ROPAs • Clear, confident English communicator — able to produce policy drafts and stakeholder guidance • Self-starter with a bias for action; able to manage competing priorities with limited supervision • Process-oriented — able to design, document, and scale operational workflows • Strong problem-solving skills, sound risk judgment, and a highly detail-oriented approach • Collaborative team player who also works well independently • Experience within a DPO, privacy program, or compliance function • Familiarity with OneTrust or similar privacy management platforms • Knowledge of blockchain analytics or crypto industry context • Experience with DSAR workflows or vendor due diligence processes
Responsibilities
• AI & Technical Implementation: • Build and maintain LLM-based automation to scale privacy operations, including an AI-driven privacy query channel, automated DSAR intake and response drafting, and intelligent request routing • Develop and maintain internal web applications, intake forms, dashboards, and operational trackers that provide visibility into privacy program performance and SLA adherence • Support API integrations between privacy platforms and downstream business systems (REST APIs) • Evaluate, prototype, and productionize LLM-based features responsibly — with attention to prompt design, evaluations, and guardrails, given the sensitivity of privacy-related data • Partner with engineering and product teams to embed privacy-by-design principles into technical development • Automate end-to-end handling of data subject rights requests (DSRRs); escalate complex cases to senior team members as appropriate • Contribute to Privacy Impact Assessments (PIAs/DPIAs) and Records of Processing Activities (ROPAs), developing workflows and automations to maintain documentation to a high standard • Assist in reviewing third-party data processor due diligence responses to identify privacy risks • Help draft and update policies, procedures, response templates, and internal privacy guidance • Support regulatory inquiry responses and data subject complaint management under supervision • Stakeholder Collaboration: • Translate complex privacy and technical concepts into clear, practical guidance for non-technical business stakeholders • Collaborate cross-functionally with Legal, Compliance, Information Security, Product, and Engineering teams • Contribute to privacy training and awareness materials as required
Benefits
• Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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