About Bespoke Labs

Bespoke Labs is an applied AI research lab pioneering data and RL environment curation for training and evaluating agents.

Recently, we curated Open Thoughts, one of the best open reasoning datasets used by multiple frontier labs, trained SOTA specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, and taught agents to do multi-turn tool-calling with reinforcement learning.

Bespoke is uniquely positioned to capture a large market share of data and RL environment curation.

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, evaluate and manage contractors 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 identify gaps, optimize data pipelines, and inform direction.

• Build scalable systems/processes to improve data throughput, efficiency, and quality.

What we're looking for

• Proven track record of managing distributed contractor networks and external vendors

• Experience designing and scaling data pipelines, workflows, and data QA 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

• High ownership mindset with a bias toward building systems and exceptional execution

Logistics

Location: 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.