Senior Program Manager, Data Operations

🕒 July 28

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 28%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $47M Series B on 2022-11

Consulting • Healthcare • Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• 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 • 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 deploy data tools and infrastructure • 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

🎯 Requirements

• Experience owning data, ML, or operations programs end-to-end in program/project or product management. • Fluency working directly with technical teams; you can hold a conversation about data quality, evaluation, and model impact. • Systems thinking, understanding how decisions propagate across a system, reason up from fundamentals instead of defaulting to convention, and design solutions that hold up as things scale. • A track 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 nothing stalls because someone didn't know the next step. • Demonstrated ability to design and build scalable processes, not just manage existing ones. • Direct exposure to speech/audio, ASR, or TTS data, and the specific nuances of multilingual, code-switched, low-resource, or domain-specific data. • Experience with active-learning or data-selection approaches. • Startup or high-ambiguity experience.

🏖️ Benefits

• Health insurance • Stock options • Flexible work arrangements • Professional development