You know the voice. Now meet Deepgram.

Scott is a dark matter physicist turned deep learning entrepreneur. He earned his PhD in particle physics from the University of Michigan, where his research involved building a lab two miles underground to detect dark matter. He left physics postdoc research to found Deepgram, and still approaches problems like a scientist: methodically, and with a lot of curiosity.

Adam leads Deepgram's research and engineering teams, building the speech recognition systems that run on the company's own high-performance computing platform. He earned his PhD in experimental astrophysics from the University of Michigan, applying machine learning to the study of dark energy. After graduating, he moved into industry, working on autonomous vehicles and human-machine interaction before joining Deepgram.

Ed leads product strategy at Deepgram, bringing more than 30 years of experience across data, APIs, and enterprise platforms. Most recently he was Chief Product Officer for IBM watsonx.data, following IBM's 2025 acquisition of DataStax, where he held the same role. Earlier in his career, he helped launch one of the first internet search engines at Wired, founded enterprise portal company Epicentric, and guided Apigee through its IPO and acquisition by Google.

Myra leads marketing at Deepgram, focused on making the case that voice is the most fundamental interface there is. She spent 15+ years proving that a clear point of view drives growth, most recently as VP of Brand & Corporate Marketing at Redis, where she led a full rebrand and built out teams across brand, PR, web, and customer marketing. Earlier, she led brand strategy at Microsoft after more than a decade in brand consulting. She holds a Bachelor of Commerce from Saint Mary's University and an MBA from the University of Toronto's Rotman School of Management.

Shadi brings over 20 years of go-to-market experience building and scaling Software- and Infrastructure-as-a-service organizations. He designed and led the customer engagement experience at a number of voice technology companies including BlueJeans (now part of Verizon), and Voicea (now part of Cisco).

Anoop leads strategy at Deepgram, drawing on experience driving growth and transformation at GitLab, Meta, Aerohive (acquired by Extreme Networks), MapR (acquired by HPE), and Cisco. His background spans product management, pricing, operations, marketing, and engineering, with a focus on enterprise and SMB solutions across AI, analytics, data, and infrastructure. He holds an MBA from the Wharton School and a master's in computer science from the University of Texas at Austin.

Jason leads finance at Deepgram, with more than 15 years of experience in finance, strategy, and planning. He previously served as a nuclear submarine officer before leading finance teams at Google and Marketo, and most recently was VP of Finance at Yext. He holds a BS in Engineering from Bucknell and an MBA from Duke.

Holly leads the legal function at Deepgram, supporting the company's work building contextualized voice AI for real-world use. She previously led the legal team at Automattic (WordPress.com) and was a partner in the litigation group at K&L Gates, working with high-growth technology companies. She holds a B.A. in Politics from the University of San Francisco and a J.D. from Harvard Law School.

Natalie leads product at Deepgram, having grown into the role from her start as the company's lead product designer. As VP of Product Growth, she was responsible for the self-serve developer console, APIs, and SDKs that drove Deepgram's product-led growth, and she recruited and coached the team of PMs, designers, and writers behind it. She also built the foundation of Deepgram's enterprise product offering and its data labeling operations for AI model training.

Ralphie was Deepgram's first Customer Success hire, bringing 12 years of experience in technical support, implementation management, and customer success. She has spent the last four years building the Customer Success team from the ground up.

Chris was Deepgram's first go-to-market hire, bringing 10 years of GTM and sales experience from companies including TechValidate (acquired by SurveyMonkey, now Momentive.ai). He has helped scale the Deepgram team and customer base to where it is today.

Andrew is a computational scientist and theoretician turned deep learning researcher. He earned his PhD in Mechanical Engineering from MIT, where he simulated body armor fragmentation using large-scale supercomputers. After graduating, he worked at an energy company designing shaped charges and other explosive devices using AI. At Deepgram, he leads research as a Team Lead, working on exploratory deep learning and new NLU products.

Kris leads engineering at Deepgram, helping focused teams turn advanced speech AI into practical developer tools. Over the past two decades he has shipped consumer gadgets, autonomous vehicles, and global cloud services. Before Deepgram, he led Amazon Personalize and the Geospatial AI/ML portfolio at AWS, and headed autonomous mapping and AI tooling at Lyft, with earlier leadership roles at HERE and Nokia.

Kwindla Hultman Kramer is Head of Open Source at Deepgram, where he leads the company’s open-source strategy, including Pipecat and its developer community. He joined Deepgram through its acquisition of Daily, the real-time communications company he co-founded and led as CEO, and the company behind Pipecat, an open-source framework for conversational voice and multimodal applications. His career spans early web infrastructure, gesture-controlled spatial computing and the real-time systems that make spoken interactions with AI practical.