Data Operations Manager (AI)

TL;DR

Data Operations Manager (AI): Building and scaling data operations for frontier AI capabilities with an accent on RLHF, safety, and agentic workflows. Focus on designing high-quality data pipelines, managing strategic vendor partnerships, and implementing rigorous evaluation frameworks to improve model performance.

Location: Hybrid (San Francisco, CA or New York City, NY); must be in office at least 25% of the time

Salary: $270,000 - $365,000 USD

Company

hirify.global is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.

What you will do

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

Requirements

• 3+ years of experience in operations, consulting, product management, or program management.
• Experience with data analysis tools such as SQL, Python, Tableau, or spreadsheets.
• Exceptional project management and communication skills for engaging technical and non-technical stakeholders.
• Familiarity with LLMs or a strong interest in AI training methodologies.
• Must be based in or able to work from San Francisco or New York City (hybrid policy: 25% office presence).
• Bachelor’s degree or an equivalent combination of education and professional experience.

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 research teams at AI companies or research-oriented organizations.
• Experience managing external contractors and vendor relationships.
• Consulting background with experience translating complex requirements into deliverables.

Culture & Benefits

• Collaborative "big science" environment focusing on high-impact research.
• Competitive compensation with optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours and modern office spaces.
• Visa sponsorship available for eligible candidates.