Responsibilities
The Privacy Data Protection Office (PDPO) is responsible for driving privacy and data protection across TikTok’s global product ecosystem. We work across engineering, product, legal, compliance, and data governance teams to identify privacy risks and ensure that user data is handled safely, responsibly, and consistently. In the field of data protection, we are building a solid infrastructure covering areas such as data retention, data classification, and database storage to address major data protection risks. As our governance capabilities continue to evolve, we are also building platforms and engineering capabilities that can provide objective, data-driven insights into the effectiveness of these protection mechanisms from an audit perspective. The Privacy Validation Engineering Team is responsible for building automated and intelligent verification capabilities to measure whether data protection policies and controls are effectively implemented across the technology stack. By validating the actual behavior of systems against privacy requirements and policies, we aim to identify systemic risks, strengthen privacy governance, and provide actionable insights to engineering teams. Our current focus includes end-to-end verification of data retention policies, covering the full data lifecycle across products, backend services, databases, and data platforms. We are looking for a Privacy Validation Engineer to help us build scalable validation platforms and engineering solutions that make privacy protection measurable, observable, and continuously verifiable. - Build automated and intelligent privacy verification systems to assess whether data protection policies and controls are effectively implemented across TikTok’s technology ecosystem. - Design and implement end-to-end verification of data protection requirements, with an initial focus on data retention across data collection, transmission, storage, processing, and deletion. - Build automated and intelligent privacy validation capabilities to verify whether data protection policies and controls are effectively implemented, with an initial focus on end-to-end data retention verification. - Design, develop, and execute functional testing for privacy-related features across mobile applications (iOS/Android), web frontend, backend services, and data processing pipelines. - Develop test automation, validation tools, and internal frameworks/platforms, collaborating with automation and performance testing teams to improve testing productivity, coverage, and scalability across multiple technology stacks. - Collaborate with engineering, legal, compliance, and data governance teams to collect privacy governance facts, identify systemic risks, and provide actionable insights to improve privacy protection and project quality.
Qualifications
Minimum Qualification(s) - BS/MS degree in a relevant field, such as Computer Engineering, Electrical Engineering, Computer Science, or Cybersecurity. - Fundamental knowledge of distributed systems and data protection concepts, such as encryption, access control, auditing, and data handling, with a good understanding of frontend-backend-data interaction patterns. - Testing experience across multiple technology layers, including frontend, backend, and data/infrastructure layers, rather than deep expertise in a single platform. - Excellent problem-solving and analytical skills, with the ability to investigate issues across multiple systems and identify potential privacy or data protection risks. - Strong communication and collaboration skills, with the ability to work effectively with global teams, including engineering, legal, compliance, and data governance stakeholders. - Strong interest in privacy protection and end-to-end quality assurance, with a focus on ensuring user data is handled securely and consistently across the technology stack. Preferred Qualification(s) - Familiarity with Redis, NSQ, ZeroMQ, Kafka, Docker, Kubernetes (K8s), Hive, Spark, or similar technologies. - Experience with data validation, data pipelines, distributed systems, or cross-system data consistency is a plus. - Experience in privacy engineering, security testing, data governance, or compliance-related technology is a plus.
Job Information
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
