Research Operations & Strategy Lead - Coding & Cybersecurity Data

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Research Operations & Strategy Lead for Coding & Cybersecurity Data will build and scale data operations that advance Claude's coding and cybersecurity capabilities. This zero-to-one role requires technical depth to understand what makes high-quality training data, with a focus on strategy and execution rather than hands-on engineering.

Responsibilities

• Develop and execute data strategies for coding capabilities, cybersecurity evaluations, and agentic AI research
• Partner with research leaders to translate technical requirements into operational frameworks
• Build data collection and evaluation systems through internal tools, vendor partnerships, and new approaches
• Identify, evaluate, and manage specialized contractors and vendors for technical data collection
• Implement quality control processes to ensure data meets training requirements
• Manage multiple complex projects simultaneously, balancing technical needs with delivery timelines
• Track metrics and communicate progress to stakeholders

Requirements

• 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale
• Strong technical foundations, including proficiency in Python and an understanding of ML workflows and evaluation frameworks
• Familiarity with how LLMs work and the ability to describe how models like Claude are trained
• Strong communication skills to engage with both technical and non-technical stakeholders, internal and external
• Highly organized with the ability to manage multiple parallel workstreams and navigate ambiguity
• Passion for AI safety and understanding of the importance of high-quality data for building beneficial AI systems
• Education: at least a Bachelor's degree in a related field or equivalent experience

Nice-to-have / Strong candidate qualities

• Experience at companies training AI models, agents, or creating AI training data, evaluations, or environments
• Knowledge of AI safety research methodologies and evaluation frameworks
• Experience with RLHF or similar human-in-the-loop training methods
• Domain expertise in software engineering or cybersecurity
• Track record of building and scaling operations teams

Compensation

• Annual base salary: $250,000 - $365,000 USD
• Total compensation package may include equity, benefits, and incentive compensation

Logistics & Office Policy

• Locations: San Francisco, CA and New York City, NY (United States)
• Location-based hybrid policy: staff are expected to be in one of Anthropic's offices at least 25% of the time
• Visa sponsorship: Anthropic does sponsor visas and retains immigration counsel, though sponsorship is not guaranteed for every role

About the Team & Company

• Work with researchers and engineers advancing coding, software understanding, and cybersecurity capabilities for Claude
• Collaborative, research-driven environment focusing on high-impact, large-scale AI research

How to Apply / Additional Notes

• Anthropic encourages applicants who may not meet every qualification to apply
• Applicants must provide either a LinkedIn profile or a resume
• The company provides guidance on candidate AI usage during the application process