Minimum Qualifications
- 3+ years of professional experience in product management, data science, or process automation.
- Demonstrated hands-on technical experience building end-to-end solutions from scratch - either independently or within a small cross-functional team spanning product, engineering, algorithm and data science.
- Excellent analytical thinking and problem-solving capabilities, proficient in data analysis and operational performance monitoring.
- Practical experience with Generative AI, paired with intrinsic curiosity in the space; familiarity with AI-augmented agentic development tools including Codex, Claude Code and similar platforms.
Preferred Qualifications
-Prior experience in Trust & Safety or large-scale operations is strongly preferred.
About the team
The Trust and Safety GenAI & Emerging Products - Operation - Product and Process Solutions team protects the organisation's worldwide GenAI and emerging product ecosystem. We secure global product safety, compliance, reliability and scalability, and facilitate GenAI model & application development.
Partnering closely with Product, Policy, R&D, Data and Global Operations, we turn business pain points into standardized, scalable process solutions, underpinning efficient delivery of global content moderation and AI safety evaluation.
Responsibilities
1. Operational Safety Management
-Design and build end-to-end safety frameworks for GenAI & EP Operations workflows. Deploy AI-native tools to boost operational accuracy, scalability and efficiency. Establish and track key operational metrics to uphold consistent quality and performance standards.
2. End-to-End Project Management
-Own full-lifecycle delivery of safety projects spanning planning, execution and ongoing optimization. Proactively uncover risks, process gaps, automation and workflow improvement opportunities throughout project phases.
3. Data Analysis & Strategic Insights
-Transform static legacy reporting into AI-driven analytical models to generate actionable intelligence. Apply advanced analytics to spot trends, mitigate risks and detect early signs of performance decline. Translate business requirements into data-backed recommendations to inform strategic decisions; monitor project performance with AI-assisted tooling.
4. Process Optimization & Innovation
-Assess current moderation and labeling processes, tooling and policies to pinpoint optimization and automation opportunities. Lead transformation initiatives covering end-to-end workflow redesign and AI solution rollout. Champion continuous improvement and cultivate an innovation mindset to build scalable, robust AI operations.
Other benefits are as per company policy.
Work at office
Full time
Singapore
Applications for this job are handled on the company's own website.
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