TL;DR

Data Operations Manager (AI): Build and scale data operations and pipelines for frontier AI research teams with an accent on data strategy, vendor partnerships, and operational excellence. Focus on designing scalable frameworks, ensuring data quality for training state-of-the-art AI models, and optimizing research velocity.

Location: Hybrid with at least 25% office presence in San Francisco, USA

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

Company

%hirify_global% is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems to ensure AI safety and societal benefit.

What you will do

Own and execute data strategy for research teams advancing frontier AI capabilities including RLHF, safety, and agentic workflows
Drive strategic vendor partnerships and build scalable technical data collection frameworks
Design operational systems translating research requirements into high-quality data pipelines
Build evaluation frameworks and quality standards for AI training data
Lead cross-functional initiatives to optimize research velocity while maintaining quality
Identify risks and opportunities to improve efficiency across data operations
Partner with senior research leaders to align data operations with model development roadmaps

Requirements

Must have at least 3 years experience in operations, consulting, product or program management
Strong project management skills handling multiple complex projects
Effective communication with technical and non-technical stakeholders
Familiarity or strong interest in LLMs and AI training methodologies
Experience with data analysis tools such as SQL, Python, Tableau, or spreadsheets
Ability to thrive in fast-paced research environments with shifting priorities

Nice to 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 AI research teams or research-oriented organizations
Experience managing vendor relationships or external contractors
Consulting experience translating complex requirements into deliverables
Track record of implementing process improvements or quality control systems at scale

Culture & Benefits

Competitive compensation including equity, benefits, and incentive compensation
Generous vacation and parental leave
Flexible working hours with hybrid office policy
Visa sponsorship available with immigration lawyer support
Collaborative environment valuing communication and impact-driven research