Anthropic
DataOperationsManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Data Operations Manager at Anthropic. Skills: Data operations, AI research, Process management. Own and execute data strategy. Drive strategic vendor partnerships”
What You'll Achieve.
Ensure data meets bar; Scale quality across research areas
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
3+ years in operations, 3+ years consulting, 3+ years product management, 3+ years program management, Exceptional project management skills, Handle multiple complex projects, Familiar with how LLMs work, Interest in understanding AI training, Highly organized, Navigate ambiguity effectively, Experience with data analysis tools, Thrive in fast-paced research environments, Bachelor's degree or equivalent experience
Nice to Have
Experience with data collection operations, Experience with data labeling operations, Experience with data annotation operations, Knowledge of RLHF, Knowledge of constitutional AI, Knowledge of human-in-the-loop workflows, Background working with research teams, Experience managing vendor relationships, Experience managing external contractors, Consulting background, Track record of implementing process improvements, Track record of implementing quality control systems
What You'll Do.
Own and execute data strategy
Drive strategic vendor partnerships
Build scalable frameworks
Design operational systems
Implement operational systems
Build evaluation frameworks
Build quality standards
Lead cross-functional initiatives
Optimize research velocity
Maintain rigorous quality standards
Identify opportunities
Improve effectiveness
Partner with senior research leaders
Align data operations
How You'll Work.
Team & Collaboration
Cross-functional initiatives; Senior research leaders
Communication Scope
Engage effectively
Process & Methodology
Project management
Full Job Description
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role 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. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: 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
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