Data Operations Manager

Details

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.

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.

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)
• Passion for AI safety and understanding of the importance of high-quality data
• Bachelor's degree in a related field or equivalent experience (required)

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: $250,000 - $365,000 USD
• Total compensation package for full-time employees includes equity, benefits, and may include incentive compensation
• Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space

Logistics

• Locations: San Francisco, CA and New York City, NY (location-based hybrid policy)
• Location-based hybrid policy: staff are expected to be in an office at least 25% of the time; some roles may require more time in-office
• Visa sponsorship: Anthropic does sponsor visas and retains an immigration lawyer, though sponsorship may not be possible for every role or candidate

How we work / Culture

• We work as a single cohesive team on a few large-scale research efforts and value impact on steerable, trustworthy AI
• Collaborative research culture with frequent discussions and emphasis on communication

How to apply

• Application requires either a LinkedIn profile or Resume; accepted file types: pdf, doc, docx, txt, rtf
• Applicants are encouraged to apply even if they do not meet every qualification listed