{"schemaVersion":"jobsearcher.job.v1","id":"5a016b7b1aa71bc5ac411e32","url":"https://jobsearcher.com/jobs/5a016b7b1aa71bc5ac411e32","canonicalUrl":"https://jobsearcher.com/jobs/5a016b7b1aa71bc5ac411e32","title":"Senior Program Manager, Data Operations","description":"Location\nUSA | Remote\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nData Operations\nCompensation\nTier 1San Francisco, New York City, Seattle $166.7K – $208.4K • Offers Equity • Offers Bonus\nTier 2Everywhere else in US $152.2K – $190.2K • Offers Equity • Offers Bonus\nThis range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nPlease note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits.\n\nCompany Overview\nDeepgram 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. There is no organization in the world that understands voice better than Deepgram.\nCompany Operating Rhythm\nAt 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.\nEvery 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.\nAdditionally, 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.\nAbout the Role\nAt 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.\nWe’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.\nThis 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.\nThis role reports to the VP of Data Operations.\nWhat You’ll Own:\nDesign, launch, and own end-to-end data workflows: from raw audio ingestion to production-ready datasets\nBuild and evolve labeling specs, style guides, and instructional documentation for global annotation teams\nIdentify opportunities for better tooling, automation, and workflow optimization, and lead their implementation\nTranslate product goals and model requirements into data creation strategies, deciding what to build, how to build it, and why it matters for product impact\nOwn 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.\nPrototype and deploy data tools and infrastructure\nCollaborate with Research and Engineering to align data collection with model training architecture and downstream product impact\nTrack advancements in speech AI research and evolving market use cases to inform labeling approaches and data design priorities\nPartner with QA and Evaluation leads to deliver high-quality, human-in-the-loop datasets and benchmarks\nManage and mentor data vendors, freelancers, and potentially internal ICs as the team grows\nTrack throughput, data quality, and vendor performance\nDrive continuous improvement in speed, cost-efficiency, and quality across all data operations\nCurate and refine datasets to align with specific product goals, linguistic coverage, or research hypotheses\nWhat We're Looking For\nExperience owning data, ML, or operations programs end-to-end in program/project or product management.\nFluency working directly with technical teams; you can hold a conversation about data quality, evaluation, and model impact.\nSystems 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.\nA track record of prioritization under constraint — deciding what to fund, what to cut, and how to sequence it.\nStrong operating instincts: you scope, sequence, assign, and ship, and nothing stalls because someone didn't know the next step.\nDemonstrated ability to design and build scalable processes, not just manage existing ones\nIt would be great if you also had:\nDirect exposure to speech/audio, ASR, or TTS data, and the specific nuances of multilingual, code-switched, low-resource, or domain-specific data.\nExperience with active-learning or data-selection approaches\nStartup or high-ambiguity experience\nYou’ll Love This Role If You\nBelieve that data is a product, not just a resource, and you want to help define what great voice data looks like\nEnjoy turning experimental ideas into robust, repeatable systems that can scale to production\nThrive in ambiguity and take initiative without waiting for perfect specs, preferring action over perfection and iteration over indecision\nCompensation Range: $152.2K - $208.4K","company":"Deepgram","rawCompany":"deepgram","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-05T01:27:17.835Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Program Manager, Data Operations","description":"Location\nUSA | Remote\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nData Operations\nCompensation\nTier 1San Francisco, New York City, Seattle $166.7K – $208.4K • Offers Equity • Offers Bonus\nTier 2Everywhere else in US $152.2K – $190.2K • Offers Equity • Offers Bonus\nThis range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nPlease note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits.\n\nCompany Overview\nDeepgram 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. There is no organization in the world that understands voice better than Deepgram.\nCompany Operating Rhythm\nAt 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.\nEvery 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.\nAdditionally, 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.\nAbout the Role\nAt 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.\nWe’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.\nThis 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.\nThis role reports to the VP of Data Operations.\nWhat You’ll Own:\nDesign, launch, and own end-to-end data workflows: from raw audio ingestion to production-ready datasets\nBuild and evolve labeling specs, style guides, and instructional documentation for global annotation teams\nIdentify opportunities for better tooling, automation, and workflow optimization, and lead their implementation\nTranslate product goals and model requirements into data creation strategies, deciding what to build, how to build it, and why it matters for product impact\nOwn 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.\nPrototype and deploy data tools and infrastructure\nCollaborate with Research and Engineering to align data collection with model training architecture and downstream product impact\nTrack advancements in speech AI research and evolving market use cases to inform labeling approaches and data design priorities\nPartner with QA and Evaluation leads to deliver high-quality, human-in-the-loop datasets and benchmarks\nManage and mentor data vendors, freelancers, and potentially internal ICs as the team grows\nTrack throughput, data quality, and vendor performance\nDrive continuous improvement in speed, cost-efficiency, and quality across all data operations\nCurate and refine datasets to align with specific product goals, linguistic coverage, or research hypotheses\nWhat We're Looking For\nExperience owning data, ML, or operations programs end-to-end in program/project or product management.\nFluency working directly with technical teams; you can hold a conversation about data quality, evaluation, and model impact.\nSystems 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.\nA track record of prioritization under constraint — deciding what to fund, what to cut, and how to sequence it.\nStrong operating instincts: you scope, sequence, assign, and ship, and nothing stalls because someone didn't know the next step.\nDemonstrated ability to design and build scalable processes, not just manage existing ones\nIt would be great if you also had:\nDirect exposure to speech/audio, ASR, or TTS data, and the specific nuances of multilingual, code-switched, low-resource, or domain-specific data.\nExperience with active-learning or data-selection approaches\nStartup or high-ambiguity experience\nYou’ll Love This Role If You\nBelieve that data is a product, not just a resource, and you want to help define what great voice data looks like\nEnjoy turning experimental ideas into robust, repeatable systems that can scale to production\nThrive in ambiguity and take initiative without waiting for perfect specs, preferring action over perfection and iteration over indecision\nCompensation Range: $152.2K - $208.4K","datePosted":"2026-08-05T01:27:17.835Z","dateModified":"2026-08-05T01:27:17.835Z","hiringOrganization":{"@type":"Organization","name":"Deepgram","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5a016b7b1aa71bc5ac411e32"},"url":"https://jobsearcher.com/jobs/5a016b7b1aa71bc5ac411e32"}}