Data Operations Manager, Horizons

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The team includes researchers, engineers, policy experts, and business leaders committed to building beneficial AI.

Responsibilities

Strategic Leadership & Vision

• Lead development and execution of data strategies for agentic AI research including coding, computer use, and safety evaluations
• Drive initiatives impacting model performance, data quality, operational efficiency, and research velocity
• Collaborate with research leaders to translate technical requirements into scalable operations

Technical Infrastructure & Innovation

• Design and build novel data collection and evaluation systems for AI capabilities
• Architect scalable, automated data infrastructure for collecting and managing human feedback
• Develop tooling and platforms for complex human-AI interaction, especially coding and computer use

Cross-functional Partnership

• Partner with researchers, engineers, and product teams to integrate data systems with training pipelines
• Scope projects, resolve blockers, and ensure successful implementation of data strategies
• Serve as technical bridge between research and operations, aligning technical and business outcomes

Operational Excellence & Scaling

• Manage relationships with contractors and vendors for technical data collection
• Implement quality control processes to ensure data usability for AI training
• Drive improvements in efficiency, quality, and cost-effectiveness

Project Execution & Management

• Manage multiple complex projects balancing technical and delivery timelines
• Create analytics frameworks for data-driven decisions on prioritization and resources
• Establish processes enabling rapid iteration with rigorous quality standards

Requirements

• 5+ years software engineering experience building complex technical systems
• Entrepreneurial experience as technical founder, CTO, or in 0-to-1 leadership roles
• Proficiency in Python, data systems architecture, and understanding of ML workflows and evaluation frameworks
• Experience with agentic AI, code generation models, large language models, or AI safety research
• Exceptional project management and cross-team coordination
• Comfort with ambiguity and defining novel processes
• Strong intuition for high-quality training data for advanced AI
• Passion for AI safety and beneficial AI systems

Strong candidates may also have

• Experience with AI agents, advanced coding tools, or computer use capabilities
• Background in evaluation systems or human-in-the-loop workflows for LLMs
• Familiarity with reinforcement learning, constitutional AI, sandboxed execution, or security in AI
• Startup experience transitioning technical roles to business leadership
• Collaboration with AI researchers and research organizations
• Skills in prompt engineering, red teaming, AI safety evaluation
• Expertise in distributed systems, data pipelines, or ML infrastructure

Benefits

• Competitive compensation (including salary range below)
• Visa sponsorship available
• Flexible work environment with hybrid office policy
• Generous vacation and parental leave
• Collaborative office environment in San Francisco

Location Policy

• Based in San Francisco office with openness to exceptional remote candidates on a case-by-case basis

Salary Range

$270,000 - $290,000 USD annually

Logistics

Education: Bachelor's degree or equivalent experience required
Hybrid policy: Staff expected in office at least 25% of the time but varies by role
Visa sponsorship provided where possible

How we're different

Focus on large-scale, high-impact AI research combining science and computer science principles. Collaborative culture emphasizing communication and research impact.

We encourage applicants from diverse backgrounds and emphasize the importance of representation in AI safety and research.