Data Operations Manager

About the Role

We’re looking for a Data Operations Manager to scale the data ecosystem behind frontier AI models—powering next-generation Reinforcement Learning (RL) environments, agentic tasks, and datasets that directly shape how advanced models learn, reason, and act in the world.

What you'll do

• Source and manage experts and vendors to build high-quality datasets
• Procure and curate datasets to enable rich and realistic RL environments
• Partner closely with Research Engineers and Project Leads to translate evolving project goals into clear execution plans—proactively aligning the right talent, skill sets, and bandwidth to workstreams to ensure scalable, high-impact delivery as priorities evolve.
• Analyze performance data to optimize data pipelines, and inform direction.
• Build scalable processes to improve data throughput, efficiency, and quality.

What we're looking for

• Proven track record of managing distributed expert contractors and vendors
• Experience designing and scaling data pipelines, workflows, and data systems
• Strong analytical skills with the ability to translate data into actionable strategy
• Ability to operate in ambiguous, fast-evolving and research-driven environments
• Strong cross-functional communication and organizational execution skills
• Ownership mindset with a bias toward building systems and execution

LogisticsLocation: Mountain View, CA (Hybrid).

Compensation: Competitive salary and equity based on experience.

Benefits: Health coverage, flexible work arrangements, and the opportunity to help define a new product category in AI infrastructure

We encourage you to apply even if you don't meet every qualification. We value diverse perspectives and are happy to discuss how your unique background could be a great fit for this role.