Jobs at Deepgram

Build and ship production backend services and AI-powered voice agent features. Own customer problems end to end, develop reusable agent modules, improve menu and catalog accuracy, contribute to model fine-tuning, run experiments, and integrate solutions into production. The role involves close customer collaboration, rapid experimentation, and working across Kotlin, Python, and TypeScript in an in-person San Francisco environment.

Conducts applied research on large language models, including literature review, experiment design, data curation, transformer optimization, distributed training, reinforcement learning, and model deployment. Collaborates with research staff to define initiatives, validate new approaches, scale successful prototypes, and communicate complex findings. The role focuses on advancing state-of-the-art LLM capabilities for voice AI products.

Build and operate Deepgram’s deal desk, including approval matrices, pricing playbooks, credit and promotion guidelines, non-standard deal reviews, pricing analysis, Salesforce CPQ workflows, and audit-ready approvals. Partner with Sales, Customer Success, Product, and Finance on pricing, packaging, renewals, and revenue recognition. Use AI for first-pass deal reviews and continuously improve desk rules and processes.

Owns Deepgram’s North American events and field marketing portfolio, including 20+ trade shows, conferences, partner programs, executive events, roadshows, and account-based initiatives. Responsibilities include event strategy, budgeting, vendor and contract management, partner funding, brand activations, sales enablement, pipeline attribution, lead routing, ROI analysis, and post-event reporting. The role partners closely with Sales, Demand Generation, Product Marketing, alliances, and Marketing Operations, while developing AI-powered workflows and supporting the Deepgram Speak event series.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

Lead technical sales for Deepgram’s Voice Agent platform, owning discovery, architecture, proofs of concept, technical evaluations, and customer production launches. Partner with account executives on enterprise deals, carry a growth quota, build demos and integrations, develop sales enablement, provide product feedback, and collaborate with telephony, contact center, and LLM partners. The role requires deep voice-agent expertise across telephony, orchestration, streaming pipelines, and speech and language models.

Supports and improves revenue operations systems and workflows, including quote-to-cash, CPQ, billing, subscriptions, Salesforce automation, data governance, forecasting, routing, quotas, and commissions. Partners with Finance, GTM Engineering, Sales, Customer Success, and Renewals to troubleshoot issues, reconcile data, automate repetitive processes, and improve commercial systems. The role also helps implement scalable processes and AI-enabled operational solutions.

Leads Deepgram’s GTM Engineering function, owning CRM, CPQ, forecasting, billing, data, integrations, automation, and internal tooling. Translates commercial needs into scalable systems and AI-powered workflows, establishes engineering standards, connects usage and revenue data, and partners with Product, Engineering, Finance, and Data teams. This player-coach role designs, codes, tests, ships production systems, and develops a small team while prioritizing automation and operational leverage.

Supports and improves revenue operations systems and quote-to-cash workflows, including Salesforce, CPQ, billing, contracts, subscriptions, renewals, and usage-based monetization. Maintains data quality, builds reports and automations, troubleshoots GTM system issues, and partners with Finance, Sales, Customer Success, Renewals, and GTM Engineering. The role also identifies automation opportunities and supports forecasting, routing, territory, quota, and commission processes.

Drive new customer acquisition and revenue in German-speaking markets by prospecting, building pipeline, exceeding sales targets, closing technical accounts, and managing stakeholder relationships. Partner with Marketing, SDRs, Sales Operations, Sales Engineers, and Customer Success to improve sales effectiveness and identify upsell opportunities. Explain Deepgram’s voice AI platform to technical buyers and maintain a consistent, adaptable sales process.

Own the India territory end to end by building pipeline, closing full-cycle direct and partner co-sell deals, winning new logos, and expanding accounts. Sell Deepgram’s voice AI platform to technical and business buyers, guide evaluations with Field Engineers, maintain accurate forecasting, represent the company at industry events, and provide customer and market feedback. The role requires self-prospecting, technical sales expertise, Indian market experience, quota-carrying success, and a land-and-expand mindset.

Research Engineer responsible for identifying weaknesses in voice AI models, defining improvement targets, designing evaluations, curating and generating data, fine-tuning deep learning models, and rapidly shipping production systems. The role emphasizes end-to-end ownership of customer problems, measurable production improvements, practical judgment, and fast experimentation. Candidates should have strong Python and PyTorch skills, production ML experience, and ideally experience with speech technologies, distributed training, publications, open source, or public benchmarks.

Research and improve voice AI models by identifying production weaknesses, defining evaluation metrics, curating data, fine-tuning deep learning systems, and rapidly shipping solutions. The role focuses on speech-to-text, text-to-speech, voice agents, model evaluation, customer-driven research, and production machine learning systems.

Generate inbound and outbound sales opportunities by researching prospects, identifying speech recognition use cases, articulating Deepgram’s technical value proposition, and building qualified pipeline. Collaborate with Partnerships, Account Executives, Sales Operations, and Sales Engineers to improve sales effectiveness, exceed targets, and develop enterprise sales skills.

Research Staff will develop foundational voice AI technologies, including neural audio codecs, steerable generative models, latent-space embeddings, synthetic audio data generation, multimodal speech-to-speech systems, and hardware-efficient architectures. The role combines mathematical modeling, algorithmic innovation, large-scale data engineering, real-time deployment optimization, and rigorous experimental design to advance scalable, low-latency voice interaction.

Conduct foundational research on latent space models for voice AI, including neural audio codecs, generative speech, interpretable embeddings, synthetic data generation, multimodal speech-to-speech systems, and hardware-efficient model architectures. Design mathematical formulations, scalable data pipelines, controlled experiments, and real-time inference solutions for large-scale audio datasets.

Conduct foundational research on latent space models for voice AI, including neural audio codecs, generative speech models, interpretable embeddings, synthetic audio generation, multimodal speech-to-speech systems, and hardware-efficient training and inference. The role requires mathematical rigor, algorithmic innovation, scalable data pipelines, systems optimization, and controlled experimentation to advance speech and audio foundation models.

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.

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.

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.