Teams at AfterQuery

Run full-cycle recruiting for business and operations roles, including sourcing, screening, interviewing, candidate closing, and talent pipeline development. Partner with business leaders and the executive team to define hiring profiles, prioritize searches, improve interview rubrics and scorecards, support candidate experience, and track recruiting funnel performance. The role requires recruiting high-caliber candidates from finance, consulting, private equity, technology, and related fields in a fast-paced, five-day in-office San Francisco environment.

Design and build post-training infrastructure for supervised fine-tuning, reinforcement learning, and model evaluation. Develop reproducible pipelines for data preparation, versioning, sampling, training, checkpointing, and experiment tracking. Integrate systems with partner training stacks, model APIs, compute environments, and evaluation platforms. Run controlled experiments to measure dataset impact on model behavior, analyze noisy results, identify confounders, and produce actionable conclusions.

Own planning and execution of technical research programs spanning post-training, enterprise initiatives, fellowships, evaluations, and partner research. Translate ambiguous objectives into milestones, owners, dependencies, success criteria, and decision points. Track experiment progress, risks, blockers, partner dependencies, and releases while aligning researchers, engineers, program leads, and external partners. Apply working knowledge of LLM development, datasets, supervised fine-tuning, reinforcement-learning post-training, and evaluation.