Privacy Automation Engineer

About Binance

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Role Overview

As a Privacy Automation Engineer, you will build and maintain the technical infrastructure that powers Binance's global privacy compliance program. You'll design AI-driven tools, internal applications, and API integrations that enable the DPO team to handle the types of growing operational demands and range of privacy responsibilities you would expect from a Global, fast moving organisation. This is a hands-on role requiring both technical depth and a solid understanding of privacy operations.

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 draf