Data Operations Manager

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Data Operations Manager will build and scale data operations across research teams working on frontier AI capabilities. This role partners with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. The focus is on strategy and execution, requiring operational excellence and enough technical depth to understand what makes high-quality training data.

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 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
• Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities

Requirements

• 3+ years in operations, consulting, product management, or program management roles
• Exceptional project management skills with ability to handle multiple complex projects simultaneously
• Strong communication skills and ability to engage effectively with technical and non-technical stakeholders
• Familiarity with how LLMs work or strong interest in understanding AI training methodologies
• Highly organized and able to navigate ambiguity effectively
• Experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
• Comfort working in fast-paced research environments with shifting priorities
• Passion about AI safety and understanding of the importance of high-quality data
• Education: at least a Bachelor's degree in a related field or equivalent experience

Strong candidates may also have

• Experience with data collection, labeling, or annotation operations for AI/ML systems
• Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
• Background working with research teams at AI companies or research-oriented organizations
• Experience managing vendor relationships or external contractors
• Consulting background with experience translating complex requirements into deliverables
• Track record of implementing process improvements or quality control systems at scale

Compensation & Benefits

• Annual base salary range: $250,000 - $365,000 USD
• Total compensation package for full-time employees may include equity, benefits, and incentive compensation
• Additional benefits mentioned: optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space

Logistics

• Locations: San Francisco, CA and New York City, NY (United States)
• Location-based hybrid policy: staff are expected to be in one of the offices at least 25% of the time (some roles may require more time)
• Visa sponsorship: Anthropic does sponsor visas and retains an immigration lawyer; sponsorship is subject to role and candidate circumstances
• Guidance on candidates' AI usage: Anthropic has a policy for using AI in the application process

About Anthropic

Anthropic is a public benefit corporation headquartered in San Francisco. The team includes researchers, engineers, policy experts, and business leaders working to build safe and beneficial AI systems. The organization emphasizes large-scale, collaborative AI research and values communication and interdisciplinary perspectives.