Data Operations Manager

@ Anthropic

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. Our rapidly growing team is composed of researchers, engineers, policy experts, and business leaders.

About The Role

As Data Operations Manager, you will build and scale data operations across research teams working on frontier AI capabilities. You will partner with researchers to design and execute data strategies, manage vendor relationships, and oversee the entire data pipeline from requirements to production. This role demands operational excellence paired with technical depth, focusing on strategy and execution.

About The Impact

Your work will directly influence model performance on critical capabilities including tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You will support world-class researchers as you build the operational infrastructure necessary to scale high-quality data operations.

Responsibilities

• Own and execute data strategy for advancing frontier AI capabilities (RLHF, safety, tool use, agentic workflows).
• Drive strategic vendor partnerships and build scalable technical data collection frameworks.
• Design and implement operational systems to convert research requirements into quality data pipelines.
• Build evaluation frameworks and quality standards for training state-of-the-art AI systems.
• Lead cross-functional initiatives to optimize research velocity and maintain quality standards.
• Identify risks, bottlenecks, and opportunities to enhance efficiency across data operations.
• Partner with senior research leaders to align data operations with model development roadmaps.

You May Be a Good Fit If You

• Have 3+ years in operations, consulting, product, or program management roles.
• Possess exceptional project management skills for multiple complex projects.
• Communicate effectively with both technical and non-technical stakeholders.
• Understand or are eager to learn about AI training and LLM methodologies.
• Are highly organized and comfortable navigating ambiguity in fast-paced environments.
• Have experience with data analysis tools such as SQL, Python, Tableau, or similar tools.
• Are passionate about AI safety and the importance of high-quality data.

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 in AI companies or research organizations.
• Experience managing vendor relationships or external contractors.
• A consulting background with expertise in translating complex requirements into deliverables.
• A track record of implementing process improvements or quality control systems at scale.

Compensation & Logistics

The expected base annual salary ranges from $250,000 to $365,000 USD. The role requires at least a Bachelor's degree or equivalent experience. The position follows a location-based hybrid policy with a minimum 25% in-office requirement. Visa sponsorship is available on a case-by-case basis.

How We're Different

At Anthropic, we work as a cohesive team on large-scale research projects focused on steerable, trustworthy AI. We value impact over smaller projects, and collaboration and effective communication are central to our approach. Our research spans areas such as GPT-3, Circuit-Based Interpretability, and AI Safety, ensuring a robust and innovative environment for every team member.