Data Operations Manager, Horizons

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Data Operations Manager will spearhead human data collection initiatives that directly power advanced AI research capabilities across Coding, Computer Use, and Alignment Science teams. This is a highly strategic, 0-to-1 role for someone with a strong software engineering background who has evolved into driving business outcomes. You will own "data as the product" for critical AI research initiatives, translating research needs into robust, scalable data collection systems that improve Claude's coding and computer use capabilities while maintaining a focus on safety and alignment.

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, data quality, operational efficiency, and research velocity.
• Collaborate with research leaders to translate complex technical requirements into scalable operational frameworks.

Technical Infrastructure & Innovation

• Design and build novel data collection systems and evaluation frameworks to rigorously measure AI system capabilities.
• Architect scalable, automated infrastructure for collecting, processing, and managing high-quality human feedback data across multiple research domains.
• Develop tooling and platforms supporting complex human-AI interaction scenarios, particularly for coding and computer use tasks.

Cross-functional Partnership

• Partner with researchers, engineers, and product teams to ensure data collection systems integrate with training pipelines and research infrastructure.
• Work with technical stakeholders to scope projects, resolve blockers, and ensure implementation of data collection strategies.
• Serve as a technical bridge between research teams and operational execution.

Operational Excellence & Scaling

• Build and manage relationships with specialized contractors and vendors for 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 upholding 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 for data-driven decisions about project prioritization and resource allocation.
• Establish processes enabling rapid iteration and experimentation while maintaining rigorous quality standards.

Requirements

• 5+ years of software engineering experience with a proven track record of building complex technical systems.
• Entrepreneurial experience as a technical founder, CTO, or similar 0-to-1 leadership role where you've built both technology and business processes.
• Proficiency in Python, data systems architecture, and a deep understanding of machine learning workflows and evaluation frameworks.
• Experience with agentic AI systems, code generation models, large language models, or AI safety research methodologies.
• Exceptional project management skills and the ability to coordinate complex technical initiatives across multiple teams.
• Comfortable operating in ambiguous environments where you define both the "what" and the "how" from scratch.
• Strong technical intuition for what makes high-quality training data for advanced AI systems.
• Ability to thrive in fast-paced research environments with shifting priorities and novel technical challenges.
• Passion for AI safety and appreciation for the importance of high-quality data in building beneficial AI systems.

Preferred / Strong candidates may also have

• Experience building or working with AI agents, computer use capabilities, or advanced coding assistance tools.
• Background 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 and collaboration with AI researchers or research-focused organizations.
• Experience with prompt engineering, red teaming, AI safety evaluation, or related AI safety methodologies.
• Technical expertise in distributed systems, data pipelines, or ML infrastructure.

Logistics & Qualifications

• Education: At least a Bachelor's degree in a related field or equivalent experience required.
• Role location: Based in the San Francisco office; exceptional candidates may be considered for remote work on a case-by-case basis.
• Location-based hybrid policy: Staff are expected to be in an office at least 25% of the time; some roles may require more office time.
• Visa sponsorship: Anthropic does sponsor visas and retains immigration legal support, though sponsorship may not be possible for every role or candidate.

Compensation & Benefits

• Annual salary range: $270,000 - $290,000 USD.
• Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office environment.

Company

Anthropic is a public benefit corporation headquartered in San Francisco focused on high-impact AI research. The team includes researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems while emphasizing safety, interpretability, and steerability.