Data Ops Lead for Frontier AI/ML Research

Ethereum Technologies LLC; Mountain View (CA); On-site; USD 90,000 - 128,000; Full time

Job summary

Ethereum Technologies in Mountain View, CA is seeking a Data Ops Manager with AI/ML experience to own data strategy for research teams advancing frontier AI capabilities.

You will drive vendor partnerships, design scalable data pipelines, and build evaluation frameworks to ensure data quality for training state-of-the-art AI systems. The role demands strong program and project management, excellent communication with researchers and engineers, and a passion for AI safety.

Qualifications

• 10+ years in operations, consulting, product management, or program management.
• Exceptional project management for multiple complex projects.
• Strong communication with tech and non-technical stakeholders.
• Familiar with LLMs or AI training methodologies.
• Highly organized and able to navigate ambiguity.
• Experience with data analysis tools (SQL, Python, Tableau, spreadsheets).
• Thrives in fast-paced research environments.
• Passionate about AI safety and data quality.

Responsibilities

• Own and execute data strategy for research teams.
• Drive vendor partnerships and scalable data collection frameworks.
• Design and implement data pipelines translating research needs.
• Build evaluation and quality standards for AI data.
• Lead cross-functional initiatives to optimize research velocity.
• Identify risks and bottlenecks to improve efficiency.
• Partner with senior researchers to align data ops with roadmaps.

Skills

Data operations

Vendor management

Project management

Stakeholder communication

AI/ML familiarity

Data analysis tools

Tools

SQL

Python

Tableau

Spreadsheets

Job description

Ethereum Technologies in Mountain View, CA is seeking a Data Ops Manager with AI/ML experience to own data strategy for research teams advancing frontier AI capabilities.

You will drive vendor partnerships, design scalable data pipelines, and build evaluation frameworks to ensure data quality for training state-of-the-art AI systems. The role demands strong program and project management, excellent communication with researchers and engineers, and a passion for AI safety.