Data Ops Manager with AI/ML exp

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Ops Manager with AI/ML exp

Location: Mountain View, CA

Duration: 12 months

Bill Rate: $79/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-4-EAD, H-1B, H4-EAD, Other

• Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
• Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
• Design and implement operational systems that translate research requirements into high-quality data pipelines
• Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems
• Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
• Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
• Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities

You may be a good fit if you:

• Have 10+ years in operations, consulting, product management, or program management roles
• Have exceptional project management skills with ability to handle multiple complex projects simultaneously
• Have strong communication skills and can engage effectively with technical and non-technical stakeholders
• Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
• Are highly organized and can navigate ambiguity effectively
• Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
• Thrive in fast-paced research environments with shifting priorities
• Are passionate about AI safety and understand the critical importance of high-quality data

Strong candidates may also have:

• Experience with data collection, labeling, or annotation operations for AI/ML systems
• Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
• Background working with research teams at AI companies or research-oriented organizations
• Experience managing vendor relationships or external contractors
• Consulting background with experience translating complex requirements into deliverables
• Track record of implementing process improvements or quality control systems at scale

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.