Senior Program Manager, Data Operations

Deepgram•Remote, CA

About The Position

Deepgram is seeking a hands-on, systems-minded Program Manager to lead the design and execution of various voice data programs. This role is ideal for someone who thrives on building from scratch, someone who can take an abstract modeling goal or product need and turn it into a concrete data strategy and pipeline with tools, guidelines, and quality safeguards in place. This requires ownership to understand frontier research strategies, building custom style guides, prototyping new tools, and directly influencing how data shapes our products. This is a role for builders, someone who can spot a gap, roll up their sleeves, and design the solution. You’ll be at the center of Deepgram’s model development cycle, working across Research, Engineering, and Product, and you’ll be elbow-deep in both the day-to-day execution and the systems thinking required to scale it. This role reports to the VP of Data Operations.

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

Nice To Haves

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

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
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