Deepgram

<h2>Company Overview</h2><p>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. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>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.</p><p>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.</p><p>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.</p><p>Deepgram is the Voice AI platform powering the next generation of mission-critical government systems, including contact center modernization, benefits and case processing, and real-time speech applications across Defense, Federal Civilian, Intelligence Community, and State, Local, and Education (SLED) agencies. As we scale our federal footprint, Systems Integrators and Primes, cloud hyperscalers, and channel partners are our highest-leverage route to market. Our partners sit at the center of the AI modernization programs happening inside every federal agency. We are hiring a Federal Partner Manager to build, grow, and scale Deepgram's federal partner network from the ground up.</p><p>This is a builder role. You will own the strategy and execution for our named Systems Integrator and Prime practices alongside strategic hyperscaler alliances and channel partners, and you will define what a world-class AI-native federal partner motion looks like at Deepgram. You will design and drive sell-to, sell-through, and sell-with motions, land joint solutions inside each partner's delivery and capture organization, and deliver measurable partner-sourced and partner-influenced revenue. You will not run a traditional partner program. You will run an AI-first approach: leveraging agents, automation, and data to operate at 10x the scale of a conventional federal alliances team.</p><p>If you are a partner leader who thrives on whitespace, has a proven record scaling federal SI/prime and hyperscaler relationships from zero, and genuinely wants to use AI to reinvent how federal partner GTM is done, this role is for you.</p><p><strong>What you'll do</strong></p><ul><li><p>Work closely with the VP of Federal and own the federal partner strategy end-to-end. Build and execute the named-account strategy for federal and strategic hyperscaler partners; including joint value propositions, partner account plans, solution plays, and governance cadences with each partner's alliances and delivery leadership.</p></li><li><p>Drive sell-to, sell-through, and sell-with motions:</p></li></ul><ul><li><p>Sell-to: Land Deepgram as the embedded speech/voice AI layer inside each SI/prime's own AI platforms, mission software factories, and delivery accelerators.</p></li><li><p>Sell-through: Stand up repeatable SI/prime-led offerings (agency contact center transformation, DoD voice-enabled C2/ISR analytics, benefits-processing voice AI) that the partner takes to its agency customers under its own contract vehicle.</p></li><li><p>Sell-with: Co-sell into named federal accounts with SI and hyperscaler account teams, owning joint pipeline, forecast, and deal execution alongside Deepgram's Federal Account Executives.</p></li></ul><ul><li><p>Build a measurable partner-sourced and partner-influenced pipeline. Set quarterly and annual targets with each partner, instrument the pipeline end-to-end, and own the number.</p></li><li><p>Work alongside the partner team to build the federal partner enablement and credential/certification program. Align Deepgram's Applied Engineering/FDE playbook with SI and hyperscaler delivery teams.</p></li><li><p>Create the joint solutions. Work with product, engineering, solutions architects, and each partner's industry/mission practices to package reference architectures, delivery playbooks, and offerings specific to Defense/DoW, Federal Civilian, IC, and SLED.</p></li><li><p>Enable at scale. Design and launch partner enablement — technical certifications, sales plays, GovCloud demo environments, and solution-led training — plus contract-vehicle placement (GSA MAS, NASA SEWP, CIO-SP3, GWACs); so hundreds of partner sellers and practitioners can position, demo, and deliver Deepgram.</p></li><li><p>Be AI-native in how you work. This is a defining part of the role. You will build and deploy AI systems — agents, automations, data pipelines — to do the job of a conventional 5–10 person federal alliances team. Examples:</p></li></ul><ul><li><p>Agents that monitor SI/prime alliance news, contract awards, GSA Schedule updates, and account movements, and auto-draft briefs.</p></li><li><p>Automated partner-sourced pipeline hygiene, account mapping, and co-sell attribution using Deepgram's CRM, Slack, and partner portals.</p></li><li><p>AI-generated partner-specific collateral, solution briefs, and enablement content tuned to each partner's agency vertical.</p></li><li><p>Data pipelines that join Deepgram's CRM with partner account maps and public procurement signals (<a href='http://SAM.gov'>SAM.gov</a>, USASpending) to surface the next-best co-sell opportunity every week.</p></li></ul><ul><li><p>Represent Deepgram externally. Be the senior face of Deepgram in alliance QBRs, joint executive briefings, federal AI summits (AFCEA, ACT-IAC, GITEC), and industry events. Carry a consistent point of view on where federal voice AI is going and where Deepgram fits in the SI/prime agenda.</p></li><li><p>Partner cross-functionally inside Deepgram. Work closely with Federal Account Executives (Defense, Federal Civilian, IC, SLED), Applied Engineering, Capture/Proposal, Government Affairs, and Legal to remove friction and accelerate partner-driven revenue.</p></li><li><p>Report on what matters. Own the federal partner dashboard: partner-sourced pipeline, partner-influenced pipeline, joint wins, certified resources, joint solutions launched, and partner NPS; with crisp, honest narratives each month and quarter.</p></li></ul><p><strong>What you bring</strong></p><ul><li><p>Must be a U.S. citizen.</p></li><li><p>7+ years in partner management, alliances, business development, or federal enterprise sales — with at least 3–5 years directly owning SI/prime or hyperscaler federal relationships.</p></li><li><p>Demonstrated track record of building sell-to, sell-through, and sell-with motions with named federal partners and delivering measurable partner-sourced and partner-influenced revenue.</p></li><li><p>Experience scaling a federal partnership from early-stage or zero — not inheriting a mature program.</p></li><li><p>Strong command of how federal SIs/primes actually operate: capture teams, delivery centers, COEs, contract vehicles, teaming agreements, and how deals get sourced and staffed inside them.</p></li><li><p>Fluency with the federal AI landscape — LLMs, agentic AI, mission software factories, FedRAMP/DoD Impact Level authorization pathways, and hyperscaler federal co-sell motions.</p></li><li><p>Hands-on AI-native operator. You personally use AI tools every day — not as a talking point. You have built automations, agents, or data workflows that replaced meaningful human effort, and you can show us.</p></li><li><p>Excellent executive presence — comfortable opening and advancing conversations with partner SVPs, federal practice leads, and Deepgram's own executive team.</p></li><li><p>Analytical rigor. You instrument what you own, tell the truth with data, and translate numbers into decisions.</p></li><li><p>Self-directed, high-ownership, and comfortable operating in a fast-moving, ambiguous environment.</p></li></ul><p><strong>It would be great if you also had</strong></p><ul><li><p>An active security clearance is a bonus, not a requirement.</p></li><li><p>Existing strong relationships inside at least two of SI or Prime partner organizations.</p></li><li><p>Direct experience launching a joint federal offering or solution that produced repeatable agency engagements.</p></li><li><p>Background in speech, voice AI, CCaaS, or adjacent domains (AWS Connect GovCloud, Genesys Government, NICE, ServiceNow Federal).</p></li><li><p>Experience building internal AI tooling — agents, RAG systems, CRM automations — for a revenue team.</p></li></ul><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Business

<h2>Company Overview</h2><p>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. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>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.</p><p>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.</p><p>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.</p><p><strong>Staff Web Engineer Marketing</strong></p><h2>About the role</h2><p>Deepgram builds foundational voice AI and <a href='http://deepgram.com'>deepgram.com</a> is where the world meets it. The site is our digital front door, showcasing our products, brand moments, and pricing information, and it drives the company's self-serve revenue.</p><p>We're hiring a Staff Web Engineer to own the site's code for the long haul. <a href='http://Deepgram.com'>Deepgram.com</a> is entering its next chapter. We are fully refreshing the experience top to bottom. You'll be the person who knows the site inside out. You'll own the repo, the architecture, the Sanity environments, and the QA bar — and act as the code-review gate for day-to-day page and content work. The team is small but scaling. You will be working on the Web team reporting into the Head of Brand & Awareness and closely collaborating with our Senior Web Manager, product, marketing, sales, and external development partners.</p><p>Most critically, as an AI company, you must be AI-native. Agents and AI tooling are your go-to in how you choose to build, review, and QA. We are aiming to build a machine-first, voice-first site experience. It’s an exciting time to join the web team.</p><h2>What you'll do</h2><ul><li><p><strong>Own the </strong><a href='http://deepgram.com'><strong>deepgram.com</strong></a><strong> codebase</strong> end to end — the Next.js application (front and back end), the GitHub repo, branching and CI/CD, and code review</p></li><li><p><strong>Optimize and maintain Sanity CMS architecture</strong> — schemas, the reusable module library, the staging and production environments and publishing workflow</p></li><li><p><strong>Run the global design system</strong>, component library, Vercel platform and spearhead AI integrations. Experienced with global CSS systems.</p></li><li><p><strong>Build and run the site's QA program</strong> — starting with a well-structured and scalable staging environment that keeps a marketing site launch-ready at all times</p></li><li><p><strong>Lead internationalization and localization efforts</strong> — language-locale URL and routing architecture, hreflang, and the path from i18n plumbing to localized (l10n) content</p></li><li><p><strong>Assist in technical SEO</strong> — site architecture, redirects, Core Web Vitals — with on-page SEO executed by content partners inside your review gate</p></li><li><p><strong>Ensure LLM discoverability (AEO)</strong> — the site's structured data, metadata, and content architecture must serve answer engines as well as people</p></li><li><p><strong>Technical infrastructure for experimentation</strong> — develop the mechanisms to support the site's experimentation program</p></li><li><p><strong>Marketing Ops partnership</strong> — implementation of forms, gated content, and attribution instrumentation (GTM, GA4, HubSpot)</p></li><li><p><strong>Cybersecurity posture</strong> — maintain security and run routine safety audits across dependencies and scripts</p></li><li><p><strong>High-velocity shipping</strong> — ship complex site improvements and launch campaign pages in a product-driven atmosphere</p></li><li><p><strong>AI-native workflow</strong> — use agents in your daily build process and create tooling for safe marketing publishing</p></li></ul><h2>We are looking for candidates with:</h2><ul><li><p><strong>Marketing web development background</strong> — ownership of marketing sites, not just product surfaces</p></li><li><p><strong>Enterprise repository ownership</strong>: branching strategy, CI/CD, and a strong code-review culture</p></li><li><p><strong>Headless CMS architecture</strong> — Next.js with Sanity strongly preferred</p></li><li><p><strong>Modern React ecosystem</strong> for the web</p></li><li><p><strong>Vercel</strong> as a production platform</p></li><li><p><strong>AI-native development</strong> — ability to demonstrate concrete use of AI agents and tooling in your workflow</p></li><li><p><strong>High level of ownership & accountability</strong> — a hand raiser who’s ready to join an ambitious team and company</p></li><li><p><strong>Technical leadership</strong> — directing or reviewing the work of agency developers</p></li></ul><h2>Our ideal candidates also have:</h2><ul><li><p><strong>Prior experience with internationalization (i18n/l10n)</strong>: URL architecture, locale routing, and multi-region infrastructure</p></li><li><p><strong>Familiarity with A/B testing</strong> on production marketing sites</p></li><li><p><strong>Interest in voice AI</strong> and the future of voice-interactive web experiences</p></li></ul><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Engineering

<h2>Company Overview</h2><p>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. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>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.</p><p>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.</p><p>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.</p><h2>The Opportunity</h2><p>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><h2>The Role</h2><p>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><h2>The Challenge</h2><p>We are seeking Research Staff who:</p><ul><li><p>See 'unsolved' problems as opportunities to pioneer entirely new approaches</p></li><li><p>Can identify the one critical experiment that will validate or kill an idea in days, not months</p></li><li><p>Have the vision to scale successful proofs-of-concept 100x</p></li><li><p>Are obsessed with using AI to automate and amplify your own impact</p></li></ul><p>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><h2>What You'll Do</h2><ul><li><p>Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models</p></li><li><p>Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models</p></li><li><p>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</p></li><li><p>Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems</p></li><li><p>Document and present results of data experiments and analysis for internal and external audiences</p></li></ul><h2>You’ll Love This Role If You</h2><ul><li><p>Are obsessed with making sense out of complex and/or messy data</p></li><li><p>Enjoy building from the ground up and love to create new systems from scratch</p></li><li><p>Are passionate about AI and interested in leveraging data to solve hard problems</p></li><li><p>Are motivated by the prospect of scaling yourself using automation and AI models</p></li></ul><h2>It's Important to Us That You Have</h2><ul><li><p>Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation</p></li><li><p>Experience and expertise applying statistical methods and deep learning models to understand complex data</p></li><li><p>Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience</p></li><li><p>Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch</p></li></ul><h2>Nice to Haves</h2><ul><li><p>Background in Physics, Mechanical Engineering or Language Processing</p></li><li><p>Experience building models</p></li><li><p>Speech and audio experience</p></li></ul><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<h2>Company Overview</h2><p>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. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>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.</p><p>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.</p><p>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.</p><h2>The Opportunity</h2><p>Deepgram is looking for a Software Test Engineer to design, build, and maintain automated test frameworks and exploratory test suites across our products, models, APIs, and data platforms. You enjoy breaking systems, probing edge cases, testing real-world and adversarial inputs, and automating repeatable validation so regressions are caught quickly. </p><p>You translate product requirements and model metrics into automated regression tests, evaluation pipelines, data-quality gates, load tests, and release criteria. You partner with QA, Research, Product, Data, and Engineering to plan testing, execute human and automated evaluations, support user acceptance testing, and communicate risks clearly. </p><p>When you find an issue, you provide precise reproduction steps, inputs, parameters, expected and actual results, and supporting data. What gets you excited? Building scalable automation that gives Deepgram confidence that its products, models, and data workflows work reliably for customers.</p><h2>What You'll Do</h2><ul><li><p>Define and execute well-designed test plans across Deepgram's products, APIs, SDKs, model-powered features, and data platforms, ensuring production software is robust, reliable, and performs well.</p></li><li><p>Design, build, and maintain automated test suites and frameworks for functional, integration, end-to-end, regression, API, browser, and service-level testing across batch and streaming workflows.</p></li><li><p>Translate product requirements and customer acceptance criteria into clear test strategies, repeatable test cases, and enforceable release gates.</p></li><li><p>Build and maintain representative, customer-focused, and adversarial test datasets, fixtures, and test environments that exercise real-world inputs, edge cases, failure modes, and system limits.</p></li><li><p>Validate model-powered behavior—including speech-to-text, text-to-speech, and other AI features—using appropriate metrics, expected outputs, human review, and regression coverage, while partnering with Research and model-evaluation specialists as needed.</p></li><li><p>Build testing infrastructure, including test harnesses, reusable scripts, test-data tooling, result-aggregation pipelines, dashboards, and visualizations that make quality signals easy to understand and act on.</p></li><li><p>Integrate automated tests, quality checks, canaries, and release validation into CI/CD so regressions are detected continuously rather than through manual testing alone.</p></li><li><p>Partner with Engineering, Product, Research, Data, Infrastructure, and DevOps to understand system behavior, dependencies, variations, performance limits, and deployment risks, and to establish appropriate test coverage.</p></li><li><p>Test data ingestion, processing, annotation, and quality-control workflows, validating data integrity, completeness, representativeness, deduplication, leakage, and downstream readiness.</p></li><li><p>Execute staging and production validation, load and reliability testing, cross-browser and customer-workflow testing, and user acceptance testing in partnership with internal stakeholders and customer QA teams.</p></li><li><p>Maintain and improve the test-case repository, automation coverage, test documentation, and release-readiness reporting so teams have a clear view of what was tested, what passed, and what remains risky.</p></li><li><p>Write precise, actionable bug reports with reproducible steps, inputs, parameters, expected and actual results, logs or artifacts, and clear severity; participate in triage and escalate issues when necessary.</p></li><li><p>Help raise the bar through code reviews, test-design reviews, technical discussions, and strong engineering, automation, and QA practices.</p></li></ul><h2>What We're Looking For</h2><ul><li><p>BS, MS, or PhD in Computer Science, AI, Applied Math, or a related field, or equivalent experience.</p></li><li><p>5+ years of professional software or QA engineering experience, with a track record of shipping test infrastructure or evaluation systems (senior candidates with significantly deeper experience welcome).</p></li><li><p>Solid backend/scripting experience in a language such as Python, Rust, Go, or similar.</p></li><li><p>Experience designing and building automated test pipelines, evaluation frameworks, or data-processing systems.</p></li><li><p>Strong analytical skills and comfort reasoning about metrics, thresholds, and statistical variation in results — able to distinguish real regressions from noise.</p></li><li><p>Ability to take charge of ambiguous technical challenges and communicate effectively across research, engineering, and product teams.</p></li></ul><h2>Nice to Have / Ways to Stand Out</h2><ul><li><p>Hands-on experience testing or evaluating modern AI systems such as LLMs, RAG pipelines, agents, or multimodal models, including analyzing model behavior and failure modes.</p></li><li><p>Experience with voice, audio, speech recognition, or real-time systems, and familiarity with metrics such as WER, MOS, latency, and time-to-first-byte.</p></li><li><p>Experience building or improving test, evaluation, benchmarking, or ML infrastructure used by multiple teams or external users.</p></li><li><p>A strong appreciation for test and evaluation quality, including correctness, reproducibility, determinism, and consistency across environments.</p></li><li><p>Experience building test tooling for React Native, mobile applications, or other cross-platform environments that extends validation beyond the desktop.</p></li><li><p>Familiarity with cloud infrastructure, containers, ephemeral test environments, CI/CD systems, and monitoring tools such as Grafana, canaries, and anomaly detection.</p></li><li><p>Experience serving as a technical bridge across teams or platforms—including product, QA, evaluation, training, inference, data, or agent frameworks—with the communication skills to build alignment and influence decisions.</p></li><li><p>Prior involvement in open-source projects through contributions, reviews, maintenance, or community engagement.</p></li><li><p>Experience with voice, audio, speech recognition, or real-time systems, and familiarity with metrics like WER, MOS, or latency/TTFB.</p></li><li><p>Prior involvement in open-source projects, through contributions, reviews, maintenance, or community engagement.</p></li><li><p>Experience acting as a technical bridge across teams or platforms (evaluation, training, inference, agent frameworks), combining architectural understanding with clear communication and influence.</p></li><li><p>Familiarity with cloud infrastructure, containerized/ephemeral environments, and monitoring tooling (e.g. Grafana, canaries, anomaly detection).</p></li></ul><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Engineering

<h2>Company Overview</h2><p>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. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>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.</p><p>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.</p><p>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.</p><h2>About Deepgram</h2><p>Deepgram is the foundational AI company for voice. We build the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale our usage-based economy, we are building the 'Intelligence Layer'—a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.</p><h2>The Role</h2><p>Reporting to the <strong>Head of Decision Intelligence</strong>, you are the <strong>founding engineer</strong> of the Data Intelligence team. While the Head of Data sets the strategic 'Brain' of the company, you build the nervous system. You are not building legacy dashboards; instead you are building the API-based tools, dbt models, and semantic layers that allow AI agents to navigate our data environment autonomously.</p><h2>Key Responsibilities</h2><ul><li><p><strong>Semantic Layer Architecture:</strong> Build and maintain high-fidelity dbt and SQL models that serve as the 'ground truth' for our complex, usage-based revenue models.</p></li><li><p><strong>Agent Tooling & Integration:</strong> Develop the tools and permissions frameworks that allow 'Analyst Agents' to query Athena, correlate Salesforce churn signals, and identify API latency issues.</p></li><li><p><strong>Infrastructure Evolution:</strong> Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are 'agent-ready' and highly reliable.</p></li><li><p><strong>The 'Unlock Audio Intelligence' Project:</strong> Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.</p></li><li><p><strong>Automation Obsession:</strong> Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.</p></li></ul><h2>Requirements</h2><ul><li><p><strong>Experience:</strong> 5+ years in high-growth Data or AI Engineering roles.</p></li><li><p><strong>AI-Native Technical Skills:</strong> Mastery of <strong>SQL</strong> and <strong>Python</strong> (production-grade) with a proven track record of building <strong>RAG or Agentic systems</strong> on top of structured data.</p></li><li><p><strong>Usage-Based SaaS Fluency:</strong> Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.</p></li><li><p><strong>Builder Mindset:</strong> Comfort with 'work-in-progress' infrastructure and the ability to turn messy, siloed data into high-impact business logic.</p></li></ul><h2>Bonus Points</h2><ul><li><p>Prior experience as a Software Engineer or Data Engineer.</p></li><li><p>Experience with real-time billing and consumption systems.</p></li><li><p>Contributions to open-source data or AI projects.</p></li></ul><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<h2>Company Overview</h2><p>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. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>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.</p><p>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.</p><p>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.</p><p><strong>Opportunity:</strong></p><p>Deepgram is looking for a Backend Software Engineer to join the Engine team to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.</p><p><strong>What You’ll Do</strong></p><ul><li><p>Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization</p></li><li><p>Develop processes for measuring, building, and optimizing services to maximize system performance</p></li><li><p>Debug complex system issues that include networking, scheduling, and high performance computing interactions</p></li><li><p>Rapidly customize backend services to support our customer needs</p></li><li><p>Partner with Product to design and implement new services, features, and/or products end to end</p></li></ul><p><strong>You’ll Love This Role If You</strong></p><ul><li><p>Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity</p></li><li><p>Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work</p></li></ul><p><strong>It’s Important To Us That You Have</strong></p><ul><li><p>3+ years of experience in an industry role</p></li><li><p>Programming experience in Rust (or C, C++), with competence in Python</p></li><li><p>Excellent communication and organizational skills, both written and verbal.</p></li><li><p>A high level of experience and understanding of version control; preferably git.</p></li><li><p>Comprehensive experience with UNIX-style systems.</p></li></ul><p><strong>It Would Be Great if You Had</strong></p><ul><li><p>Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers</p></li><li><p>Experience with audio processing</p></li></ul><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Engineering

<h2>Company Overview</h2><p>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. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>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.</p><p>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.</p><p>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.</p><h2>The Opportunity</h2><p>Deepgram is looking for a Senior Frontend Engineer to join the Console team.</p><p>This team owns the front-end experiences that help developers discover, test, and adopt Deepgram — including customer-facing surfaces like Console and Playground, as well as internal tools that support teams across the company.</p><p>In this role, you’ll build polished, high-quality interfaces for both external and internal users. You’ll work on product experiences that help developers get started quickly, understand Deepgram’s capabilities, manage their projects and billing, and explore APIs hands-on. You’ll also help build internal tools that make Deepgram teams faster and more effective.</p><p>We’re looking for a strong front-end engineer with excellent product taste, strong technical judgment, and the ability to turn ambiguous problems into clear, well-crafted user experiences. This role is aimed at generalist senior engineers rather than requiring niche framework expertise; familiarity with Elm is a plus, not a requirement.</p><h2>What You’ll Do</h2><ul><li><p>Build and ship front-end features across Deepgram’s customer-facing Console and Playground experiences.</p></li><li><p>Build internal-facing tools that improve workflows and productivity across Deepgram.</p></li><li><p>Partner with product, design, and engineering to create accessible, performant, and responsive interfaces.</p></li><li><p>Translate product ideas and design concepts into well-scoped, incrementally releasable work.</p></li><li><p>Balance rapid iteration with long-term maintainability, quality, and performance.</p></li><li><p>Help raise the bar through code reviews, technical design discussions, and strong front-end engineering practices.</p></li></ul><h2>What we’re looking for</h2><ul><li><p>5+ years of professional software engineering experience with a strong front-end focus.</p></li><li><p>Deep experience with modern front-end technologies and frameworks.</p></li><li><p>Strong command of web fundamentals, including HTML, CSS, responsive design, and accessibility.</p></li><li><p>A track record of building high-quality user-facing web applications.</p></li><li><p>Strong communication skills and the ability to collaborate closely with design, product, and engineering partners.</p></li><li><p>Strong product and UX judgment.</p></li></ul><h2>Nice to have</h2><ul><li><p>Experience with Elm, or interest in learning it.</p></li><li><p>Experience building developer-facing products, internal tools, or API-centric interfaces.</p></li><li><p>Familiarity with backend integrations and APIs.</p></li><li><p>Experience with voice, audio, real-time systems, or AI products.</p></li></ul><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Engineering

<h2>Company Overview</h2><p>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. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>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.</p><p>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.</p><p>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.</p><h2></h2><h2>About the role</h2><p>Analytics is only as trustworthy as the definitions underneath it. As more reporting and decision-making moves to AI agents, the cost of ambiguous or conflicting metric definitions compounds, an agent applies the wrong rule confidently, at scale, and nobody catches it.</p><p>This role exists to prevent that. You will own what our numbers mean, make those definitions enforceable in the systems that serve them, and verify that both people and agents are using them.</p><p>This is a governance-first role with real technical depth. You will spend your time defining, implementing, and validating, building pipelines and developing agentic reporting are secondary.</p><h2>What you'll work on</h2><p><strong>Own the metric registry.</strong> Establish canonical definitions for the metrics the business runs on. Where competing versions exist, convene the owners, document the disagreement, and drive to a decision. Publish changes with a clear statement of what moves and why.</p><p><strong>Make definitions enforceable.</strong> Implement agreed definitions in the semantic layer and data catalog so they are applied by the system rather than described in a document. Retire superseded versions.</p><p><strong>Reduce the surface area.</strong> Audit the reporting estate, retire assets with no audience, and establish ownership for what remains.</p><p><strong>Build data quality checks/agents.</strong> Freshness, uniqueness, referential integrity, and cross-system reconciliation — with failures routed to named owners/agents who act on them.</p><p><strong>Verify AI agents.</strong> Maintain an inventory of agents accessing company data and the definitions each relies on. Evaluate agent output against known-correct answers and track accuracy, refusal, and error rates.</p><p><strong>Enable self-serve.</strong> Make governed data accessible and trustworthy for people querying it directly or through AI tools.</p><h2>Qualifications</h2><ul><li><p>5+ years in analytics, analytics engineering, or a closely related field</p></li><li><p>Strong SQL, including comfort reverse-engineering undocumented transformation logic written by others</p></li><li><p>Direct ownership of a semantic or metrics layer in production — dbt, Cube, LookML, or equivalent. Not just usage: responsibility for what went into it and why</p></li><li><p>Demonstrated ability to resolve conflicting metric definitions across functions and land a decision</p></li><li><p>Clear written communication. Most of your output is documentation others must trust without re-deriving it</p></li><li><p>Comfort deprecating and removing work that others built</p></li><li><p>Experience evaluating LLM or AI agent output against ground truth</p></li><li><p>Experience developing or contributing to a data catalog and/or lineage tooling</p></li></ul><h2>Nice to have</h2><ul><li><p>Experience with lakehouse architectures, Iceberg, Athena, Trino, or similar</p></li><li><p>Exposure to audit readiness, SOX, or financial controls environments</p></li><li><p>Consumption or usage-based business models, where committed, consumed, invoiced, and recognised revenue are genuinely different numbers</p></li><li><p>Having joined a function early, before process existed</p></li></ul><p></p><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data