Senior Program Manager, Data Operations - Deepgram

Company Overview

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words.

Company Operating Rhythm

At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.

Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.

Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.

About the Role

At Deepgram, data isn’t just fuel for our models, it’s a product in its own right. Our vertically integrated voice AI platform depends on strategically created, curated, and labeled audio: from original data collection and augmentation, to structured workflows and evaluation sets. These data pipelines support a range of cutting-edge technologies, including audio intelligence models, conversational voice agents, STT, and TTS.

We’re looking for 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.

What You’ll Own

• Design, launch, and own end-to-end data workflows: From raw audio ingestion to production-ready datasets.
• Build and evolve labeling specs: Create style guides and instructional documentation for global annotation teams.
• Identify opportunities for optimization: Drive better tooling, automation, and workflow efficiency, and lead their implementation.
• Translate product goals: Turn 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: Manage 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: Build data tools and infrastructure.
• Collaborate across teams: Partner with Research and Engineering to align data collection with model training architecture and downstream product impact.
• Track advancements in speech AI research: Stay informed on evolving market use cases to guide labeling approaches and data design priorities.
• Partner with QA and Evaluation leads: Deliver high-quality, human-in-the-loop datasets and benchmarks.
• Manage and mentor: Oversee data vendors, freelancers, and potentially internal ICs as the team grows.
• Track performance metrics: Monitor throughput, data quality, and vendor performance.
• Drive continuous improvement: Optimize speed, cost-efficiency, and quality across all data operations.
• Curate and refine datasets: Align data with specific product goals, linguistic coverage, or research hypotheses.

What We're Looking For

• Experience owning data, ML, or operations programs end-to-end in program/project or product management.
• Fluency working directly with technical teams; ability to hold deep conversations about data quality, evaluation, and model impact.
• Systems thinking: Understanding how decisions propagate across a system, reasoning up from fundamentals instead of defaulting to convention, and designing solutions that scale.
• A track record of prioritization under constraint—deciding what to fund, what to cut, and how to sequence initiatives.
• Strong operating instincts: Ability to scope, sequence, assign, and ship without stalling.
• 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.

You’ll Love This Role If You

• Believe that data is a product, not just a resource, and you want to help define what great voice data looks like.
• Enjoy turning experimental ideas into robust, repeatable systems that can scale to production.
• Thrive in ambiguity and take initiative without waiting for perfect specs, preferring action over perfection and iteration over indecision.