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### 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 **Privacy Operations Support:** - 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

### 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

### Why Binance - 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)