Deepgram is hiring a Program Manager for Data Operations to lead the design and execution of voice data programs. You will turn abstract modeling goals into concrete data strategies and build scalable processes from scratch at the center of our model development cycle.
What You’ll Do
- 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 and automation, and lead their implementation.
- Translate product goals and model requirements into data creation strategies.
- Prototype and deploy data tools and infrastructure.
- Collaborate with Research and Engineering to align data collection with model training.
- Track advancements in speech AI research to inform labeling approaches and data design.
- Partner with QA and Evaluation leads to deliver high-quality, human-in-the-loop datasets.
- Manage and mentor data vendors, freelancers, and potentially internal team members.
- 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 or research hypotheses.
What We’re Looking For
- 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.
Nice to Have
- 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.
Technical Stack
- Label Studio
- Python
Team & Environment
You will work across Research, Engineering, and Product teams.
Company Culture
We believe data is a product, not just a resource. We prefer action over perfection and iteration over indecision. We thrive in ambiguity and take initiative without waiting for perfect specs. We are a curious bunch focused on collaboration, doing the right thing, putting customers first, growing together, and moving quickly.
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
