Data Operations Manager - Computer Use & Tool Use

Details

Anthropic is building reliable, interpretable, and steerable AI systems. As Data Operations Manager for Computer Use & Tool Use, you'll build and scale data operations that advance Claude's computer use capabilities and tool use safety. This is a zero-to-one role: you will partner with research teams to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. The role requires technical depth (including proficiency in Python and familiarity with ML and RL workflows) but focuses on strategy and execution rather than hands-on engineering.

Responsibilities

• Develop and execute data strategies for computer use, tool use safety, and agentic AI research
• Partner with research leaders to translate technical requirements into operational frameworks
• Build data collection and evaluation systems for complex scenarios (prompt injection robustness, multi-turn agent conversations, adversarial attacks, autonomous workflows)
• Scale the generation of realistic evaluation environments that capture real-world tool use and computer use challenges
• Identify, evaluate, and manage specialized contractors and vendors for technical data collection
• Implement quality control processes to ensure data meets training requirements for both capabilities and safety
• Manage multiple complex projects simultaneously, balancing research velocity with rigorous evaluation standards
• Track metrics and communicate progress to stakeholders

Requirements

• 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale
• Strong technical foundations, including proficiency in Python and understanding of ML workflows, reinforcement learning (RL) environments, and evaluation frameworks
• Strong communication skills and ability to engage both technical and non-technical stakeholders
• Familiarity with how LLMs work and ability to describe concepts like RLHF, tool use, and agentic workflows
• Understanding of the unique challenges of evaluating autonomous systems and long-horizon agent behaviors
• Highly organized and able to manage multiple parallel workstreams effectively
• Comfortable navigating ambiguity and balancing strategic priorities with rapid execution
• Passion for AI safety and appreciation for the importance of high-quality data in building safe, capable agentic systems

Strong candidates may also have

• Experience at companies training AI models, building AI agents, or creating AI training data, evaluations, or environments
• Knowledge of computer and tool use safety challenges like prompt injection, data exfiltration attempts, or adversarial attacks
• Experience with RLHF, reinforcement learning techniques, or similar human-in-the-loop training methods
• Domain expertise in computer use automation, security, or AI safety evaluation
• Familiarity with model performance monitoring, training observability, or quality assessment systems
• Track record of building and scaling operations teams

Logistics & Benefits

• Annual base salary range: $250,000 - $365,000 USD (total compensation includes equity, benefits, and may include incentive compensation)
• Education requirement: at least a Bachelor's degree in a related field or equivalent experience
• Location-based hybrid policy: staff are expected to be in an office at least 25% of the time (role may require more time in office)
• Visa sponsorship: Anthropic will make reasonable efforts to sponsor visas for hired candidates and retains an immigration lawyer to assist
• Additional benefits: competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and collaborative office spaces

About Anthropic

Anthropic is a public benefit corporation headquartered in San Francisco focused on large-scale AI research. The team includes researchers, engineers, policy experts, and business leaders working on steerable, trustworthy AI. The organization emphasizes collaboration, communication, and high-impact research directions.