Deepgram

Research Staff, Data Science

Engineering Manager, Developer Relations

Technical Program Manager (Engineering)

Senior Software Engineer, Frontend (Elm)

Research Scientist - Voice AI Foundations

Voice AI Evaluation Lead

Deepgram is a leading voice AI platform, empowering developers with speech-to-text, text-to-speech, and full speech-to-speech offerings. With over 200,000 developers and 400+ enterprise customers, Deepgram processes trillions of words, demonstrating unmatched accuracy and latency. The company seeks seasoned Data Scientists for its Research Staff to tackle fundamental data challenges in conversational audio. This role involves building an industrial 'data factory' to power next-generation Voice AI systems, enabling models to capture nuanced meanings and adapt robustly. Collaborating with product, engineering, and data teams, you will deploy scalable voice AI, pushing the boundaries of technology.

Business Development Manager

<h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">Company Overview</h1><p class="my-4 text-gray-700 leading-relaxed">Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram</p><h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">The Opportunity</h1><p class="my-4 text-gray-700 leading-relaxed">Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.</p><h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">The Role</h1><p class="my-4 text-gray-700 leading-relaxed">Deepgram is currently looking for seasoned Data Scientists with demonstrated experience solving hard data problems while exploring research frontiers to join our Research Staff. Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. As a Member of the Research Staff, you will help us to build an industrial “data factory” that will be used to power the next generation of Voice AI systems - unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech. You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet. We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology.</p><h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">The Challenge</h1><p class="my-4 text-gray-700 leading-relaxed">We are seeking Research Staff who:</p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">See "unsolved" problems as opportunities to pioneer entirely new approaches</li><li class="leading-relaxed">Can identify the one critical experiment that will validate or kill an idea in days, not months</li><li class="leading-relaxed">Have the vision to scale successful proofs-of-concept 100x</li><li class="leading-relaxed">Are obsessed with using AI to automate and amplify your own impact</li></ul><p class="my-4 text-gray-700 leading-relaxed">If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.</p><h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">What You'll Do</h1><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models</li><li class="leading-relaxed">Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models</li><li class="leading-relaxed">Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs</li><li class="leading-relaxed">Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems</li><li class="leading-relaxed">Document and present results of data experiments and analysis for internal and external audiences</li></ul><h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">You’ll Love This Role If You</h1><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Are obsessed with making sense out of complex and/or messy data</li><li class="leading-relaxed">Enjoy building from the ground up and love to create new systems from scratch</li><li class="leading-relaxed">Are passionate about AI and interested in leveraging data to solve hard problems</li><li class="leading-relaxed">Are motivated by the prospect of scaling yourself using automation and AI models</li></ul><h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">It's Important to Us That You Have</h1><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation</li><li class="leading-relaxed">Experience and expertise applying statistical methods and deep learning models to understand complex data</li><li class="leading-relaxed">Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience</li><li class="leading-relaxed">Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch</li></ul><h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">Nice to Haves</h1><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Background in Physics, Mechanical Engineering or Language Processing</li><li class="leading-relaxed">Experience building models</li><li class="leading-relaxed">Speech and audio experience</li></ul><p class="my-4 text-gray-700 leading-relaxed">Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!</p><p class="my-4 text-gray-700 leading-relaxed">Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. 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.</p><p class="my-4 text-gray-700 leading-relaxed">We are happy to provide accommodations for applicants who need them.</p>

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Senior Product Manager

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About the Area Manager II Position:</h3><p class="my-4 text-gray-700 leading-relaxed">Stord is looking for an Area Manager with strong communication and organization skills and the ability to work well under pressure. Able to lead others through effective decision making and a sense of responsibility. Must be flexible with the ability to work overtime, including evenings and weekends, as needed.</p><p class="my-4 text-gray-700 leading-relaxed">This individual will support the execution of all processes and procedures related to inventory accuracy. Performs warehouse bin accuracy and maintains inventory shrink. Utilizes Order Management System and various types of material handling equipment.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Do:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead and develop a team of warehouse associates and operations leads to deliver on daily goals.</li><li class="leading-relaxed">Work closely with support staff (HR, Safety, Customer Service, Other Ops Leaders) to drive results.</li><li class="leading-relaxed">Address operational and personnel issues affecting functional area.</li><li class="leading-relaxed">Implement process improvements and workload efficiency mechanisms.</li><li class="leading-relaxed">Utilize workload planning tools and other resources to complete scheduled workload ensuring orders are fulfilled to meet standards.</li><li class="leading-relaxed">Investigate discrepancies and variances.</li><li class="leading-relaxed">Perform to quality standards in multiple functions.</li><li class="leading-relaxed">Perform additional duties as assigned.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Need:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Minimum of two to four years’ experience working with warehouse management systems (WMS) / inventory systems in a high-volume facility.</li><li class="leading-relaxed">Previous leadership experience.</li><li class="leading-relaxed">Bachelor’s Degree or relevant experience</li><li class="leading-relaxed">Possesses basic clerical and data entry skills.</li><li class="leading-relaxed">Possesses strong organizational and time management skills, driving tasks to completion.</li><li class="leading-relaxed">Excellent communication and interpersonal skills. Able to interact effectively with all levels of management and support teams.</li><li class="leading-relaxed">Able to transport up to 20 lbs.</li><li class="leading-relaxed">Able to perform basic mathematical calculations.</li><li class="leading-relaxed">Able to recognize and attend to important details with accuracy and efficiency.</li><li class="leading-relaxed">Able to work independently with minimum supervision.</li><li class="leading-relaxed">Able to build solid, effective working relationships with others.</li><li class="leading-relaxed">Able to constructively work under stress and pressure when faced with high workloads and deadlines.</li><li class="leading-relaxed">Able to effectively use relevant material handling equipment (i.e forklifts).</li><li class="leading-relaxed">Able to work in a Distribution center environment which includes exposure to work at varying heights; varying temperatures; moderate and consistent noise levels.</li><li class="leading-relaxed">Occasional non-standard work hours or overtime as business requires.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Bonus Points:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Proficiency with Microsoft Office Suite</li><li class="leading-relaxed">A Bachelor’s or Master’s degree in Engineering, Operations, Supply Chain/Logistics, Business Administration, Operations Management, or related field</li><li class="leading-relaxed">Experience with process improvements (Lean Six Sigma and/or Kaizen)</li></ul>

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