Privacy Automation Engineer

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

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