Data Operations Manager

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY Annual Salary: $250,000 - $365,000 USD Employment Type: Not explicitly mentioned; inferred full-time from context and compensation details Experience Level: Mid-level to senior (3+ years experience required)

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The team consists of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role:

As the Research Operations & Strategy Lead for Coding & Cybersecurity Data, you will build and scale data operations that advance Claude's coding and cybersecurity capabilities. You will 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 but focusing on strategy and execution rather than hands-on engineering. The role is described as a "technical founder" evolved from coding to building the business.

About the Impact:

• Your data strategies and operations will directly affect how well models can write code, understand software systems, and identify security vulnerabilities.
• Work with world-class researchers on frontier AI capabilities.
• Build operational infrastructure to scale these efforts.
• Ideal candidate thrives at the intersection of technical depth and operational excellence.

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.

You may be a good fit if you:

• Have 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale.
• Have strong technical foundations: proficiency in Python; understanding of ML workflows and evaluation frameworks.
• Have strong communication skills; able to engage effectively with both technical and non-technical stakeholders internally and externally.
• Are familiar with how LLMs work; can describe how models like Claude are trained.
• Are highly organized; can manage multiple parallel workstreams effectively.
• Have a high threshold for navigating ambiguity; balance strategic priorities with rapid high-quality execution.
• Thrive in fast-paced research environments with shifting priorities and novel technical challenges.
• Are passionate about AI safety; understand the critical importance of high-quality data in building beneficial AI systems.

Strong candidates may also have:

• Experience at companies training AI models or 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.

Logistics

Education requirements: At least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Staff expected in office at least 25% of the time; some roles may require more. Visa sponsorship: Available but not guaranteed for every role/candidate; immigration lawyer support provided. Diversity & Inclusion: Encourages applications even if not all qualifications are met; values diverse perspectives. Recruitment caution: Only @anthropic.com emails used by recruiters; no money/fees requested before first day.

How we're different

Anthropic focuses on big science AI research as a cohesive team working on few large-scale efforts emphasizing impact over smaller puzzles. They value communication skills highly due to frequent collaborative research discussions.

Compensation

Annual Salary: $250,000 - $365,000 USD

Skills Mentioned

Technical Skills

• Python proficiency
• Understanding of machine learning (ML) workflows
• Evaluation frameworks for ML
• Familiarity with large language models (LLMs) training processes
• Experience with RLHF (Reinforcement Learning from Human Feedback) or similar human-in-the-loop methods

Soft Skills

• Strong communication skills (engaging both technical/nontechnical stakeholders)
• Highly organized project management skills
• Ability to navigate ambiguity
• Strategic thinking combined with execution excellence

Domain Expertise

• AI safety knowledge
• Software engineering domain expertise (preferred)
• Cybersecurity domain expertise (preferred)