Data Operations Manager — AnthropicLocation: San Francisco, CA | New York City, NYWork Model: Hybrid (minimum 25% in-office) About Anthropic Anthropic is a public benefit corporation dedicated to building reliable, interpretable, and steerable AI systems that are safe and beneficial for society. The organization brings together leading researchers, engineers, policy experts, and business leaders to advance frontier AI while prioritizing safety, alignment, and long-term societal impact. Anthropic operates as a highly collaborative research-driven organization, focusing on a small number of high-impact, large-scale scientific efforts rather than fragmented initiatives. Its work builds on foundational contributions to AI research, including large language models, interpretability, scaling laws, and AI safety. Role Overview: Data Operations Manager The Data Operations Manager plays a critical role in scaling and optimizing data operations that support Anthropic’s frontier AI research. This individual will partner closely with research teams to translate complex technical requirements into robust, high-quality data pipelines that directly influence model performance, safety, and alignment. This role blends strategic operations leadership, technical fluency, and execution excellence, with ownership across the full data lifecycle—from research requirements and vendor management to production-quality datasets. Strategic Impact The data systems and operational frameworks developed in this role will directly shape Anthropic’s most critical model capabilities, including: Tool-use accuracy Long-horizon reasoning Robustness to prompt injection Safety alignment and human feedback integration By enabling researchers to move faster without compromising quality, the Data Operations Manager ensures that data remains a competitive and ethical advantage in advanced AI development. Key Responsibilities The Data Operations Manager will: Own and execute data strategy across research initiatives, including: Reinforcement Learning from Human Feedback (RLHF) AI safety and alignment research Tool use and agentic workflows Design and implement scalable operational systems that translate research goals into reliable data pipelines Build and manage strategic vendor partnerships for data collection, labeling, and annotation Establish evaluation frameworks and quality standards for state-of-the-art AI training data Lead cross-functional initiatives to improve research velocity while maintaining rigorous quality controls Proactively identify and mitigate risks, bottlenecks, and inefficiencies in data operations Partner with senior research leaders to align data execution with long-term model development roadmaps Candidate Profile Anthropic is seeking candidates who thrive at the intersection of operations, research, and emerging technology. Required Qualifications: Minimum of 3 years of experience in operations, consulting, product management, program management, or related roles Exceptional project management skills with the ability to manage multiple complex workstreams Strong communication skills across technical and non-technical audiences Familiarity with large language models or a demonstrated interest in AI training methodologies High organizational discipline and comfort operating in ambiguous, fast-paced environments Experience using data analysis tools such as SQL, Python, Tableau, or advanced spreadsheets Demonstrated passion for AI safety and data quality Preferred Qualifications: Experience with data collection, labeling, or annotation for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Prior work with AI research teams or research-focused organizations Vendor and contractor management experience Consulting background translating complex requirements into executable plans Track record of implementing process improvements or quality systems at scale Compensation and Benefits Base Salary Range: $250,000 – $365,000 USD annually Total compensation includes: Equity Comprehensive benefits Potential incentive compensation Anthropic also offers generous vacation and parental leave, flexible working hours, equity donation matching, and thoughtfully designed collaborative office spaces. Logistics and Policies Education Requirement: Bachelor’s degree or equivalent professional experience Hybrid Policy: Employees are expected to be in-office at least 25% of the time Visa Sponsorship: Available for many roles, with legal support provided Relocation: Candidates may be asked about relocation flexibility Anthropic strongly encourages applications from individuals who may not meet every listed qualification, particularly candidates from underrepresented backgrounds. Culture and Values Anthropic approaches AI research as an empirical science, emphasizing collaboration, open dialogue, and long-term impact over short-term gains. The organization values diverse perspectives and recognizes the ethical and social implications of advanced AI systems. Clear communication, thoughtful collaboration, and shared ownership of outcomes are central to how Anthropic works. Why This Role Matters The Data Operations Manager position offers a rare opportunity to: Influence the core capabilities and safety of frontier AI systems Work alongside world-class AI researchers Build foundational infrastructure that enables responsible AI scaling Contribute meaningfully to the future of safe and aligned artificial intelligence VISIT OFFICIAL WEBSITE TO APPLY For more opportunities such as these please follow us on Facebook, Instagram , WhatsApp, Twitter, LinkedIn and Telegram Disclaimer: Global South Opportunities GSO) is not the hiring organization. For any inquiries, please contact the official organization directly. Please do not send your applications to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.