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 Program Manager, Data Operations 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

• Scope and structure the enablement of Experts for Data Ops projects

• Onboard, guide, and support Experts to produce consistent outputs

• Design and evolve workflows that turn Expert input into RL-ready datasets

• Operationalize learning-driven experiences for Experts throughout delivery

• Build tools/systems to standardize and automate workflows to scale ops

• Track execution, unblock operational issues, and keep projects on schedule

• Optimize throughput, quality, and cost across Data Ops projects as needs shift

What we're looking for

• Strong program/project management in data, ML, or ops-heavy environments

• Ability to turn ambiguity into clear guidelines, workflows, and systems

• Experience working with domain experts and distributed contributors

• Familiarity with ML/RL data pipelines, evaluation, and agent workflows

• Detail-oriented with high standards for data quality and consistency

• Systems thinker who can scale processes by orders of magnitude

• Clear communicator across technical and non-technical stakeholders

• Bias for ownership, speed, and continuous excellence

Logistics

Location: Mountain View, CA and Bangalore, India (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.