Engineering Manager - Trust&Safety

This position is also open in Beijing, Shanghai, Shenzhen, China and Silicon Valley, U.S.

Responsibilities

• Lead the architecture design and optimization of the Trust & Safety backend review systems (human + machine) and enforcement engines; resolve core system performance bottlenecks and drive architectural evolution while ensuring online system stability and high availability.
• Own the development and stability of the content safety model platform; deliver high-quality system design and implementation to support core platforms including data pipelines, operations systems, and moderation systems serving products with hundreds of millions of DAU.
• Participate in the R&D, optimization, and maintenance of large-scale machine learning online inference frameworks, ensuring models serve online business efficiently and reliably.
• Continuously optimize the performance of online services and offline computation tasks; design and implement key solutions including high concurrency, multi-region deployment, and disaster recovery to ensure system resilience and business continuity.
• Participate in the technical implementation and delivery of risk control strategies, providing efficient and reliable technical support for strategy iteration.
• Stay current with the technical frontier; participate in technology selection and architectural evolution to drive continuous upgrades of the Trust & Safety tech stack.
• Collaborate closely with Trust & Safety strategy, algorithm, data, product, and operations teams to communicate effectively and jointly achieve business objectives.

Requirements

• Bachelor's degree or above in Computer Science, Software Engineering, or a related field; at least 3 years of experience in distributed systems development.
• Solid Java programming foundation; deep proficiency in Java collection frameworks and core technical principles including distributed storage, computing, message queues (e.g., Kafka/RocketMQ), and microservice governance.
• Extensive experience in online system stability assurance and performance tuning; proven ability to rapidly diagnose and resolve issues in complex production environments.
• Experience in big data platform development; proficient in Spark, Hadoop, Flink, and other mainstream big data processing technology stacks.
• Strong data sensitivity and logical analysis capabilities; able to conduct deep data investigation and business problem analysis with strong business risk intuition; experience in data analysis or algorithm model deployment is a plus.
• Experience in content safety, risk control, anti-abuse, or related domains is preferred.
• Excellent communication and collaboration skills with a strong sense of ownership; able to proactively drive project progress and resolve complex problems.
• Strong learning ability and technical passion; able to quickly adapt to evolving business requirements and technology changes.

Pay range and compensation package

The annual base salary range for this position is $300,000 – $700,000 per year. Actual compensation will depend on experience, skills, and qualifications.

Equal Opportunity Statement

Rednote is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.