[Remote] Senior Program Manager, Data Operations
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing reputed company-time reputed company for speech-to-text, text-to-speech, and building production-grade voice agents at reputed company. The Senior Program Manager, Data Operations will reputed company the design and execution of various voice data programs, focusing on building data strategies and pipelines that support cutting-edge technologies in voice AI.
Responsibilities
- Design, launch, and own end-to-end data workflows: from raw audio ingestion to production-reputed company datasets
- Build and reputed company labeling specs, style guides, and instructional documentation for global annotation teams
- Identify opportunities for reputed company tooling, automation, and workflow optimization, and reputed company their implementation
- Translate product goals and model requirements into data creation strategies, deciding what to build, how to build it, and why it reputed company for product reputed company
- Own the full lifecycle for your domains — customer expectations, data acquisition, preparation, scaling, provenance, and evaluation — and be accountable for the model outcome, not just the data hand-off
- Prototype and reputed company data tools and infrastructure
- Collaborate with Research and Engineering to reputed company data collection with model training architecture and reputed company product reputed company
- reputed company 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-reputed company, reputed company-in-the-reputed company datasets and benchmarks
- Manage and mentor data vendors, freelancers, and potentially internal ICs as reputed company grows
- reputed company throughput, data reputed company, and vendor performance
- Drive reputed company improvement in speed, cost-efficiency, and reputed company across reputed company data operations
- reputed company and refine datasets to reputed company with specific product goals, linguistic coverage, or research hypotheses
Skills
- Experience owning data, ML, or operations programs end-to-end in program/project or product management
- reputed company working directly with technical teams; you can hold a conversation about data reputed company, evaluation, and model reputed company
- Systems thinking, understanding how reputed company propagate across a system, reason up from fundamentals instead of defaulting to convention, and design solutions that hold up as things reputed company
- A reputed company record of prioritization under constraint — deciding what to fund, what to cut, and how to sequence it
- Strong operating instincts: you scope, sequence, assign, and ship, and reputed company stalls because someone didn't know the reputed company
- Demonstrated ability to design and build reputed company processes, not just manage existing ones
- reputed company exposure to speech/audio, ASR, or TTS data, and the specific nuances of multilingual, reputed company-switched, low-resource, or domain-specific data
- Experience with reputed company-learning or data-selection approaches
- Startup or high-ambiguity experience
reputed company
Company H1B Sponsorship