Research Operations & Strategy Lead - Coding & Cybersecurity Data

Anthropic • San Francisco, CA

74d • $250,000 - $365,000

About The Position

As the Research Operations & Strategy Lead for Coding & Cybersecurity Data, you'll build and scale data operations that advance Claude's coding and cybersecurity capabilities. You'll partner with research teams to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This is a zero-to-one role requiring technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution rather than hands-on engineering. Think technical founder who evolved from writing code to building the business.

Requirements

• 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale
• Strong technical foundations - proficiency in Python and understanding of ML workflows and evaluation frameworks
• Strong communication skills and can effectively engage with both technical and non-technical stakeholders, both internal and external parties
• Familiar with how LLMs work and could describe how models like Claude are trained
• Highly organized and can manage multiple parallel workstreams effectively
• High threshold for navigating ambiguity and can balance setting strategic priorities with rapid, high-quality execution
• Thrive in fast-paced research environments with shifting priorities and novel technical challenges
• Passionate about AI safety and understand the critical importance of high-quality data in building beneficial AI systems

Nice To Haves

• 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

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

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space for collaboration

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Bachelor's degree