Data Operations Manager at Anthropic

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial IntelligenceIndustries

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)
Thrive in fast-paced research environments with shifting priorities
Passionate about AI safety and understanding the critical importance of high-quality data
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

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

Skills

Data Strategy

Vendor Management

Data Pipelines

Data Quality

Operational Excellence

Technical Depth

RLHF

Safety

Tool Use

Agentic Workflows

Anthropic

Develops reliable and interpretable AI systems

About Anthropic

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$11,482.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Risks

Ongoing lawsuit with Concord Music Group could lead to financial liabilities.

Technological lag behind competitors like OpenAI may impact market position.

Reliance on substantial funding rounds may indicate financial instability.

Differentiation

Anthropic focuses on AI safety, contrasting with competitors' commercial priorities.

Claude, Anthropic's AI assistant, is designed for tasks of any scale.

Partnerships with tech giants like Panasonic and Amazon enhance Anthropic's strategic positioning.

Upsides

Anthropic's $60 billion valuation reflects strong investor confidence and growth potential.

Collaborations like the Umi app with Panasonic tap into the growing wellness AI market.

Focus on AI safety aligns with increasing industry emphasis on ethical AI development.

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