About Anthropic

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.

About the Role

Anthropic is seeking an entrepreneurial Data Operations Manager to spearhead human data collection initiatives that directly power our most advanced AI research capabilities. You'll work across our Coding, Computer Use, and Alignment Science teams to design, build, and scale complex data collection projects that push the boundaries of what's possible with agentic AI systems.

This is a highly strategic, 0-to-1 role designed for someone with a strong software engineering background who has evolved into driving business outcomes - think CTO of a startup or technical founder who thrives at the intersection of technology and operations. You'll be responsible for creating novel data collection methodologies, building scalable processes from scratch, and solving complex technical challenges that directly improve Claude's coding and computer use capabilities.

You will own "data as the product" for our most critical AI research initiatives, translating cutting-edge research needs into robust, scalable data collection systems. This role requires the technical depth to understand complex AI systems combined with the strategic mindset to build and scale operations that support frontier model development.

About the Impact

As our Data Operations Manager, you'll be at the forefront of developing the data infrastructure that enables breakthrough advances in AI capabilities. Your work will directly contribute to making AI systems more capable at complex reasoning, coding, and computer use tasks while maintaining our commitment to safety and alignment. This role offers the unique opportunity to shape how frontier AI systems are trained and evaluated, working with some of the most advanced AI research in the world.

If you're excited about building something entirely new, have the technical depth to understand complex AI systems, and possess the entrepreneurial drive to create scalable operations from the ground up, we'd love to hear from you.

Responsibilities

Strategic Leadership & Vision

Lead the development and execution of comprehensive data strategies for agentic AI research, including environments for advanced coding capabilities, computer use, and safety evaluations
Drive strategic initiatives that directly impact model performance and capabilities, making decisions that affect data quality, operational efficiency, and research velocity
Collaborate with research leaders across teams to understand complex technical requirements and translate them into scalable operational frameworks

Technical Infrastructure & Innovation

Design and build novel data collection systems and evaluation frameworks that enable rigorous measurement of AI system capabilities
Architect scalable, automated infrastructure for collecting, processing, and managing high-quality human feedback data across multiple research domains
Develop sophisticated tooling and platforms that support complex human-AI interaction scenarios, particularly for coding and computer use tasks

Cross-functional Partnership

Partner closely with researchers, engineers, and product teams to ensure data collection systems integrate seamlessly with training pipelines and research infrastructure
Work directly with technical stakeholders to scope complex projects, resolve technical blockers, and ensure successful implementation of data collection strategies
Serve as a technical bridge between research teams and operational execution, ensuring alignment on both technical requirements and business outcomes

Operational Excellence & Scaling

Build and manage relationships with specialized contractors and vendors who can execute on highly technical data collection requirements
Implement robust quality control and verification processes to ensure data usability for training state-of-the-art AI systems
Drive continuous improvement in efficiency, quality, and cost-effectiveness while maintaining the highest standards for frontier AI research

Project Execution & Management

Manage multiple complex, high-stakes projects simultaneously, balancing technical complexity with delivery timelines
Create analytics and measurement frameworks to make data-driven decisions about project prioritization and resource allocation
Establish processes that enable rapid iteration and experimentation while maintaining rigorous quality standards

You may be a good fit if you

Have 5+ years of software engineering experience with a proven track record of building complex technical systems
Demonstrate entrepreneurial experience as a technical founder, CTO, or in similar 0-to-1 leadership roles where you've built both technology and business processes
Are proficient in Python, data systems architecture, and have deep understanding of machine learning workflows and evaluation frameworks
Have experience with agentic AI systems, code generation models, large language models, or AI safety research methodologies
Possess exceptional project management skills with ability to coordinate complex technical initiatives across multiple teams
Are comfortable operating in highly ambiguous environments where you need to define both the "what" and the "how" from scratch
Have a strong technical intuition for what makes high-quality training data for advanced AI systems
Thrive in fast-paced research environments with shifting priorities and novel technical challenges
Are passionate about AI safety and understand the critical importance of high-quality data in building beneficial AI systems

Strong candidates may also have

Experience building or working with AI agents, computer use capabilities, or advanced coding assistance tools
Background in designing and implementing evaluation systems or human-in-the-loop workflows for large language models
Experience with reinforcement learning, constitutional AI, or other advanced AI training methodologies
Knowledge of sandboxed execution environments, security considerations for AI systems, or automated code evaluation
Experience in high-growth startup environments, particularly in technical roles that evolved to include business responsibilities
Background collaborating with AI researchers or experience in research-oriented organizations
Experience with prompt engineering, red teaming, AI safety evaluation, or related AI safety methodologies
Technical expertise in areas like distributed systems, data pipelines, or ML infrastructure

Role Specific Location Policy:

This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.