Overview

Your job is to make ambitious research programs move. You will own the execution of programs spanning post-training, enterprise post-training, fellowships, evaluation releases, and partner research. You will turn open-ended research goals into clear plans, keep researchers, engineers, SPLs and external partners aligned, and surface the decisions and blockers that matter. This is not a traditional project-management role. You must understand the technical work well enough to reason about experiments, datasets, evaluations, training pipelines, and research tradeoffs. Your impact will come from creating just enough structure for the team to run more programs, make better decisions, and ship high-quality work faster.

Responsibilities

Own planning and execution across post-training, enterprise post-training, fellowship, and public evaluation programs.

Translate ambiguous research objectives into milestones, owners, dependencies, success criteria, and decision points.

Maintain a trustworthy view of program health, including experiment progress, risks, blockers, partner dependencies, and upcoming releases.

Required Qualifications

2-4 years project/program management experience

Experience leading complex technical programs across research, machine learning, engineering, or data organizations

Working knowledge of the LLM development lifecycle, including data creation, SFT, RL-based post-training, and evaluation

Strong communication and an ability to turn messy technical information into clear decisions and next steps

Company Benefits (For Eligible Employees):

• Health Insurance
  Medical, Vision, Dental
• 401(k)
  With Employer Match
• Daily Meals
  Daily UberEats Stipend
• Wellness Stipend
  Monthly - Covers Equinox Membership
• Commute Covered