Privacy Automation Engineer
8.0/10
Binance
$68,000 – $112,000 USD
Remote
mid
9 days ago
cryptodevsecurityPythonAILLMREST APIsweb applicationsdashboards
AI Summary
The vacancy is well-structured with clear responsibilities and requirements, though some details on compensation and company links are lacking.
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Description
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.
Conditions
- •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).
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.
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