Jobs at Deepgram

Support the CEO and CTO by managing calendars, complex travel, inbox triage, office operations, events, expenses, and corporate card reconciliation. The role requires careful handling of confidential information, rapid prioritization, professional communication, and consistent in-office presence in Ann Arbor. The coordinator will also use AI and automation to streamline administrative workflows and contribute to shared executive-support systems.

Own Deepgram’s conversational design discipline for voice agents, including persona, turn-taking, interruption, repair, confirmation, pacing, and latency-aware behavior. Partner with ML and Engineering to ship conversational systems, establish quality evaluations and transcript review practices, and create reference agent experiences and developer guidance for the Voice Agent API. Define design principles, standards, and shared vocabulary while influencing technical partners without direct authority.

Lead Deepgram’s corporate legal function, including governance, IPO readiness, financings, M&A, employee equity, international subsidiaries, and regulatory developments. Partner with Finance, People, and company leadership to build scalable legal processes for a fast-growing AI company. Establish an AI-native legal practice while advising on a broad range of startup legal matters.

Own enterprise voice AI deployments for strategic restaurant customers, from technical discovery and architecture through integration, go-live, optimization, and production support. Write code, configure APIs and workflows, troubleshoot live issues, and collaborate with customer engineering teams and business leaders. Develop reusable deployment tools, reference architectures, and playbooks while translating field challenges into product improvements. Partner closely with Sales, Product, and Engineering and serve as a trusted technical escalation point.

As a Solutions Architect at Deepgram, you will engage with customers, solve technical issues, enhance support solutions, and develop automation processes.

Build and deploy production backend services, third-party integrations, internal tooling, and voice agents for strategic enterprise customers. Work directly on site with customer technical and business teams, monitoring and optimizing live systems for accuracy, latency, and throughput. Collaborate with research and product teams to extend the platform, provide field feedback, and create reusable solutions. The role involves regular customer-site work, solution scoping, technical problem-solving, and end-to-end ownership of deployed systems.

Own Deepgram’s end-to-end text-to-speech research program, including technical strategy, model architectures, experiments, training, evaluation, and production deployment. Lead researchers and technical managers, establish roadmaps, advance naturalness, expressiveness, multilingual generation, controllability, voice consistency, and inference efficiency, and partner with engineering and product leadership to ship high-quality models.

The Pre-Sales Solutions Engineer will engage in technical pre-sales activities, integrating AI solutions with customer needs, and facilitating technical sales processes.

Research Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.

As a Software Engineer at Deepgram for Restaurants, you'll design and maintain scalable backend systems for automated ordering, integrating AI models, optimizing performance, and ensuring smooth interactions with restaurant software.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.

Lead brand campaign concepting and copywriting across OOH, audio, video, social, events, web, launches, and other brand surfaces. Own Deepgram’s verbal identity, review agency and studio copy, translate technical products for varied audiences, contribute to naming, and develop scalable copy guidelines and workflows. The role also emphasizes AI-forward writing tools, collaboration with design and marketing teams, global adaptation, and maintaining a distinctive, clear brand voice.

Own Deepgram’s AI applications product line, including strategy, roadmap, customer definition, acquisition, activation, retention, monetization, and profitability. Lead zero-to-one product development, represent the product with customers and partners, and coordinate research, engineering, design, and marketing. Prototype and validate ideas through real usage and measurement while communicating decisions to executives. The role requires shipped, paid consumer or prosumer products, deep AI application experience, technical depth, design judgment, and strong product leadership.

Senior Designer responsible for developing high-impact brand and marketing creative across event branding, environmental design, presentations, campaigns, and production assets. The role involves driving projects from brief to delivery, collaborating cross-functionally, maintaining design systems and brand guidelines, using data to inform decisions, and applying AI tools to accelerate creative exploration and production.

Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.

Owns product operations across roadmap coordination, new product introduction, launch readiness, partner deliverables, financial and revenue analysis, metrics, executive reporting, and cross-functional planning. The role maintains product commitments, drives accountability, leads launch gates, models business impact, coordinates sales and marketing readiness, and supports leadership decision-making through business reviews, planning, and board materials.

Own technical go-to-market enablement for pre-sales and post-sales teams. Build onboarding, ramp programs, technical frameworks, playbooks, certifications, launch readiness, and scalable guidance from subject-matter expertise. Partner with Product, Applied Engineering, Customer Success, Sales, and PMM to improve technical discovery, evaluations, architecture guidance, handoffs, escalations, and customer readiness. Use AI, scripts, agents, and workflows to eliminate recurring work and scale enablement.