Program Manager (Data Operations)

Overview

Job Description

Responsibilities

• - Design, launch, and own end-to-end data workflows: from raw audio ingestion to production-ready datasets
• - Build and evolve labeling specs, style guides, and instructional documentation for global annotation teams
• - Identify opportunities for better tooling, automation, and workflow optimization, and lead their implementation
• - Translate product goals and model requirements into data creation strategies, deciding what to build, how to build it, and why it matters for product impact
• - Prototype and deploy data tools and infrastructure (e.g. Label Studio, custom Python scripts)
• - Collaborate with Research and Engineering to align data collection with model training architecture and downstream product impact
• - Track advancements in speech AI research and evolving market use cases to inform labeling approaches and data design priorities
• - Partner with QA and Evaluation leads to deliver high-quality, human-in-the-loop datasets and benchmarks
• - Manage and mentor data vendors, freelancers, and potentially internal ICs as the team grows
• - Track throughput, data quality, and vendor performance
• - Drive continuous improvement in speed, cost-efficiency, and quality across all data operations
• - Curate and refine datasets to align with specific product goals, linguistic coverage, or research hypotheses

Required Skills

• - 4+ years of experience in technical data operations, ML programs, or hands-on AI data workflows
• - Demonstrated ability to design and build scalable processes, not just manage existing ones
• - Strong documentation, communication, and project leadership skills
• - Ability to work cross-functionally across technical and non-technical teams
• - Experience managing or working closely with vendors, freelancers, or distributed teams
• - Deep curiosity about how high-quality data shapes the performance of real-world ML products
• - Familiarity with Python and data visualization tools
• - Experience designing datasets for multilingual, low-resource, or domain-specific applications
• - Startup or high-ambiguity experience
• - Experience building or configuring annotation platforms like Label Studio

Benefits

• - Offers Equity
• - Offers Bonus
• - 10% Annual Bonus