Data Operations Manager (AI)

Location: San Francisco, CA or New York City, NY; hybrid work with staff expected to be in an office at least 25% of the time

Annual salary: $270,000–$365,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

• Own and execute data strategy for research teams working on frontier AI capabilities, including RLHF, safety, tool use, and agentic workflows.
• Build strategic vendor partnerships and scalable frameworks for technical data collection.
• Design operational systems that translate research requirements into high-quality production data pipelines.
• Develop evaluation frameworks and quality standards for training state-of-the-art AI systems.
• Lead cross-functional initiatives that improve research velocity while maintaining rigorous quality standards.
• Identify operational risks, bottlenecks, and opportunities to improve efficiency and effectiveness.

Requirements

• At least 3 years of experience in operations, consulting, product management, or program management.
• Strong project management skills and the ability to handle multiple complex projects simultaneously.
• Excellent communication skills for working with technical and non-technical stakeholders.
• Familiarity with LLMs or a strong interest in AI training methodologies.
• Experience with data analysis tools such as SQL, Python, Tableau, spreadsheets, or similar.
• Bachelor’s degree or equivalent education, training, and professional experience.

Nice to have

• Experience with AI/ML data collection, labeling, or annotation operations.
• Knowledge of RLHF, Constitutional AI, or human-in-the-loop workflows.
• Experience working with AI research teams or research-oriented organizations.
• Vendor or external contractor management experience.
• Experience implementing process improvements or quality control systems at scale.

Culture & Benefits

• Collaborative research environment focused on large-scale AI safety and capability efforts.
• Frequent research discussions and close collaboration across disciplines.
• Flexible working hours and a collaborative office environment.
• Generous vacation and parental leave.
• Competitive compensation and optional equity donation matching.
• Visa sponsorship may be available, with immigration lawyer support, depending on the role and candidate.