Senior AI Data Operations Manager

Own the full AI feature development lifecycle, from sourcing data to quality management and relationship building at scale.

Design and deploy agentic workflows that automate multi-step processes including vendor briefing, annotation verification, and batch tracking.

Translate model evaluation signals (precision gaps, recall failures, edge case blind spots) into targeted data creation cycles.

Partner with EMs, MLEs and PMs to stay ahead of model data needs, and close the loop between evaluation findings and pipeline improvements.

AI-fluent: you use AI tools naturally, think in terms of what can be automated, and can hold credible conversations with both technical and non-technical…

Hands-on experience building or working with AI agents. Organized and detail-oriented, comfortable managing multiple vendors, deadlines, and pipelines simultaneously.

Familiar with LLM evaluation basics (precision, recall, edge cases) and can engage meaningfully with engineers on data quality.

Prior experience working with NLP or AI training data pipelines.