The opportunity
As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production.
What you'll do
Own and execute data strategy for research teams advancing frontier AI: capabilities across RLHF, safety, tool use, and agentic workflows
Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
Design and implement operational systems that translate research requirements into high-quality data pipelines
Build evaluation frameworks and quality standards that ensure data meets the: bar for training state-of-the-art AI systems
Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
Proactively identify risks, bottlenecks, and opportunities to improve: efficiency and effectiveness across data operations
What they're looking for
- Partner with senior research leaders to align data operations with model: development roadmaps and strategic priorities
- Have 3+ years in operations, consulting, product management, or program management roles
- Have exceptional project management skills with ability to handle multiple complex projects simultaneously
- Have strong communication skills and can engage effectively with technical and non-technical stakeholders
