Program Manager, Data Operations
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Overview
Job Description
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. This role owns the execution of Expert-driven data programs, combining program management with hands-on workflow design, quality definition, and delivery of RL-ready datasets.
What you'll do
Scope and execute Expert-driven data programs, from task design to delivery
Onboard and support domain experts to produce consistent outputs with speed
Design pipelines that transform Expert input into reviewed, structured, RL data
Define quality benchmarks, throughput targets, and dataset acceptance criteria
Translate model needs into scalable data workflows with Research Engineering
Operationalize learning-driven project experiences for Experts during delivery
Build tools/systems to standardize and automate workflows to scale operations
Track execution, unblock operations issues, and keep projects ahead of schedule
Monitor and optimize throughput, quality, and cost across Data Ops projects
Measure program success using quality, consistency, and delivery metrics
What we're looking for
Comfortable balancing hands-on workflow design with program coordination
Strong program/project management in data, ML, or ops-heavy environments
Ability to turn ambiguous research needs into clear guidelines and datasets
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.
Automate your job search with Sonara.
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