Privacy Automation Engineer

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.

• 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.

• 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).