Remotery

Senior Program Manager, Data Operations

Posted Jul 28

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, initiate, and manage comprehensive data workflows, from the ingestion of raw audio to the creation of production-ready datasets.

• Develop and enhance labeling specifications, style guides, and instructional materials for global annotation teams.

• Recognize opportunities for improved tooling, automation, and optimization of workflows, and take the lead in their implementation.

• Convert product objectives and model requirements into strategies for data creation, determining what to develop, the methods to utilize, and the significance for product impact.

• Oversee the complete lifecycle for your areas of responsibility — encompassing customer expectations, data acquisition, preparation, scaling, provenance, and evaluation — and be accountable for the model outcomes, not merely the data transfer.

• Prototype and implement data tools and infrastructure.

• Collaborate with Research and Engineering teams to ensure data collection aligns with model training architecture and the downstream effects on products.

• Monitor advancements in speech AI research and changing market use cases to guide labeling methodologies and data design priorities.

• Work alongside QA and Evaluation leads to produce high-quality, human-in-the-loop datasets and benchmarks.

• Manage and mentor data vendors, freelancers, and potentially internal individual contributors as the team expands.

• Track throughput, data quality, and vendor performance.

• Propel continuous enhancements in speed, cost-effectiveness, and quality across all data operations.

• Curate and refine datasets to meet specific product objectives, linguistic coverage, or research hypotheses.


⛳️ Requirements

• Proven experience managing data, machine learning, or operational programs from start to finish in program/project or product management.

• Proficiency in working directly with technical teams; capable of discussing data quality, evaluation, and model impact.

• Systems thinking ability, understanding how decisions influence the entire system, reasoning from fundamentals instead of defaulting to conventions, and designing solutions that remain effective as they scale.

• A proven record of prioritizing tasks under constraints — determining what to fund, what to eliminate, and how to sequence tasks.

• Strong operational instincts: you scope, sequence, assign, and execute tasks, ensuring progress is not hindered by unclear next steps.

• Demonstrated ability to design and establish scalable processes, not just manage existing ones.

• Direct experience with speech/audio, ASR, or TTS data, along with the specific nuances of multilingual, code-switched, low-resource, or domain-specific data.

• Familiarity with active-learning or data-selection methodologies.

• Experience in startup environments or situations with high ambiguity.


🏝️ Benefits

• Health insurance

• Stock options

• Flexible work arrangements

• Opportunities for professional development

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