Policy Deployment Lead, GenAI and Emerging Products

- Drive the development, deployment, and operationalization of scalable policy frameworks, governance systems, and moderation workflows across GenAI products and business lines.
- Partner cross-functionally with Product, Engineering, Ops, QA, and AI/ML teams to implement policy changes, evaluation frameworks, moderation strategies, and operational quality systems across downstream stakeholders and workflows.
- Support the development and scaling of GenAI evaluation and policy infrastructure capabilities, including benchmarking systems, evaluation datasets, golden set strategies, prompt governance workflows, auto-evaluation systems, and policy-ground-truth generation pipelines.
- Build and maintain structured operational feedback loops, quality review processes, calibration systems, and policy change management workflows to improve enforcement consistency, moderation quality, and operational scalability.
- Translate complex policy and safety requirements into actionable operational guidance, training materials, evaluation methodologies, and scalable implementation processes across multiple products and modalities.
- Surface operational gaps, enforcement inconsistencies, and post-deployment issues through data analysis, root cause analysis, and stakeholder feedback, and partner cross-functionally to drive continuous improvement of policy systems and workflows.
- Support organizational scalability through development of foundational operational assets and governance mechanisms, including SOPs, case banks, policy documentation, rollout frameworks, certification programs, and internal tooling processes.

Qualifications

Minimum Qualifications
- 5+ years of experience in Trust & Safety, content policy, operations policy, governance, program management, or related operational strategy roles.
- Strong understanding of content moderation systems, policy interpretation, enforcement workflows, and operational quality management.
- Experience working cross-functionally with Product, Engineering, Operations, Data Science, AI/ML, QA, or related stakeholder teams.
- Proven ability to translate ambiguous policy or operational problems into scalable frameworks, processes, and operational solutions.
- Strong analytical reasoning, execution, and project management skills, with the ability to navigate ambiguity and balance multiple trade-offs.
- Excellent oral and written communication skills, with the ability to translate complex challenges into clear, persuasive language for cross-functional stakeholders at different levels.
- Adaptability and sound judgment, with a willingness to evolve your approach based on new information, user feedback, product changes, or market developments.

Preferred Qualifications
- Experience in GenAI safety, AI governance, model evaluation, policy deployment, or AI moderation systems.
- Familiarity with evaluation methodologies, benchmarking systems, golden sets, auto-labeling systems, or policy-labeled datasets.
- Experience designing or operationalizing training, calibration, certification, or quality assurance programs at scale.
- Familiarity with multimodal AI systems, prompt engineering, synthetic data generation, or human-in-the-loop evaluation workflows.
- Strong judgment in balancing policy consistency, operational practicality, scalability, and product needs across global products and markets.

Client-provided location(s): Singapore

Job ID: TikTok-7651548209478846773

Employment Type: OTHER

Posted: 2026-06-15T20:09:28