Research Operations & Strategy Lead - Coding & Cybersecurity Data at Anthropic

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

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 ability to effectively engage with both technical and non-technical stakeholders, both internal and external parties
Familiarity with how LLMs work and ability to describe how models like Claude are trained
Highly organized and able to manage multiple parallel workstreams effectively
High threshold for navigating ambiguity and ability to 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
At least a Bachelor's degree in a related field or equivalent experience

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

Skills

Data Strategy

Coding

Cybersecurity

AI Research

Vendor Management

Data Collection

Evaluation Systems

Data Pipelines

Operations Management

Agentic AI

Anthropic

Develops reliable and interpretable AI systems

About Anthropic

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$11,482.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Risks

Ongoing lawsuit with Concord Music Group could lead to financial liabilities.

Technological lag behind competitors like OpenAI may impact market position.

Reliance on substantial funding rounds may indicate financial instability.

Differentiation

Anthropic focuses on AI safety, contrasting with competitors' commercial priorities.

Claude, Anthropic's AI assistant, is designed for tasks of any scale.

Partnerships with tech giants like Panasonic and Amazon enhance Anthropic's strategic positioning.

Upsides

Anthropic's $60 billion valuation reflects strong investor confidence and growth potential.

Collaborations like the Umi app with Panasonic tap into the growing wellness AI market.

Focus on AI safety aligns with increasing industry emphasis on ethical AI development.

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