Privacy Automation Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop and sustain LLM-driven automation to enhance privacy operations, which includes an AI-powered privacy query channel, automated DSAR intake and response drafting, as well as intelligent routing of requests.

• Create and manage internal web applications, intake forms, dashboards, and operational trackers that ensure visibility into the performance of the privacy program and adherence to SLAs.

• Facilitate API integrations between privacy platforms and downstream business systems (REST APIs).

• Assess, prototype, and implement LLM-based features responsibly, focusing on prompt design, evaluations, and guardrails, given the sensitivity surrounding privacy-related data.

• Collaborate with engineering and product teams to incorporate privacy-by-design principles into technical development.

• Automate the comprehensive handling of data subject rights requests (DSRRs) and escalate complex cases to senior team members when necessary.

• Assist in Privacy Impact Assessments (PIAs/DPIAs) and Records of Processing Activities (ROPAs), establishing workflows and automations to uphold documentation standards.

• Aid in evaluating third-party data processor due diligence responses to identify privacy risks.

• Contribute to drafting and updating policies, procedures, response templates, and internal privacy guidelines.

• Support responses to regulatory inquiries and manage data subject complaints under supervision.

• Simplify complex privacy and technical concepts into clear, actionable guidance for non-technical business stakeholders.

• Work collaboratively across departments with Legal, Compliance, Information Security, Product, and Engineering teams.

• Contribute to the development of privacy training and awareness materials as needed.

⛳️ Requirements

• A bachelor's degree or higher in Computer Science, Engineering, Information Systems, or a related discipline.

• 3–5 years of experience in shipping production software, with proven AI/LLM work on at least one real project you can detail — including LLM-based automation, AI-enabled workflow tools, or a RAG/agent system deployed to users.

• Proficient in Python; experience with REST API integrations.

• Practical LLM/GenAI experience — including prompt engineering, evaluations, and responsible deployment practices.

• Experience in building web applications, dashboards, and internal tools.

• Strong information security perspective with a zero trust philosophy; approaches access, data handling, and system design with security as a core principle.

• 2–3 years in a privacy, data protection, compliance, or information governance role.

• Solid understanding of GDPR; familiarity with CCPA/CPRA, ePrivacy Directive, or equivalent is a plus.

• Knowledge of DSAR processes, privacy risk assessments, and ROPAs.

• Clear and confident communicator in English — capable of producing policy drafts and stakeholder guidance.

• Self-motivated with a proactive approach; able to manage competing priorities with minimal supervision.

• Process-oriented — capable of designing, documenting, and scaling operational workflows.

• Strong problem-solving abilities, sound risk judgment, and a meticulous attention to detail.

• A collaborative team player who also excels in independent work.

🏝️ Benefits

• Competitive salary and comprehensive company benefits.

• Flexible work-from-home arrangement (the specifics may vary based on the business team's requirements).