Privacy Automation Engineer
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.
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.
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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
Nice to Have:
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
\nWhy 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)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Apply To This Job
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.
\n
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
Nice to Have:
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
\nWhy 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)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Apply To This Job