Lead legal work for AI model development and product features, partnering with research and data teams. Design legal frameworks for scaling AI operations and manage the company's privacy program and international regulatory compliance.
Deepgram
49 Remote Job Openings at Deepgram
The Senior HR Business Partner will serve as the primary point of contact for employee relations matters and partner closely with leaders to maintain effective people practices. This role involves coaching managers, supporting performance management processes, and ensuring compliance with employment laws.
Own full-cycle recruiting for senior technical roles across Research, Engineering, and Product teams on a global scale. Partner with hiring managers to define role scopes and implement scalable, compliant hiring practices across US, EMEA, and APAC markets.
The QA Engineering Manager will define and execute the cross-product test strategy and lead a team of QA engineers to ensure high reliability. They will act as the final gatekeeper for release sign-offs while integrating compliance standards like HIPAA and FedRAMP into the pipeline.
Own end-to-end renewal negotiations for strategic high-value accounts, focusing on consumption-based forecasting and value defense. Partner with Account Executives to identify expansion opportunities and collaborate with RevOps to scale the renewal motion.
Lead the operational accounting function, including monthly close, general ledger, and sub-ledger management as the company scales toward an IPO. Oversee the end-to-end ERP migration and establish the company's first-ever audit and SOX control environment.
Lead the Fortune 500 and strategic account business to drive multi-million dollar ARR opportunities and executive engagement. Build and scale a high-performing Enterprise AE organization while implementing AI-enabled workflows to improve sales velocity and operational scale.
Build and scale Deepgram's partner ecosystem across APAC by driving sell-to, sell-through, and sell-with motions with hyperscalers, ISVs, and GSIs. The role focuses on generating partner-sourced revenue and establishing the company as a leading Voice AI platform in the region.
Build and scale Deepgram's global GSI partner ecosystem from the ground up, focusing on strategic relationships with firms like Deloitte and Accenture. Drive revenue through sell-to, sell-through, and sell-with motions while utilizing AI tools to scale partner operations.
Build and scale Deepgram's strategic technology partner ecosystem from the ground up, focusing on sell-to, sell-through, and sell-with motions. Develop joint value propositions and integrations with partners like Genesys, Databricks, and Snowflake while leveraging AI to scale operations.
Lead the end-to-end design of high-stakes AI surfaces, including developer workflows and agent interfaces, while evolving the company's design system to be AI-native. Partner with product leadership to shape strategy and establish research practices that drive measurable business outcomes.
Lead ARR and revenue forecasting for Enterprise and Self-Service motions while driving performance visibility across Sales, Marketing, and Customer Success. Partner with the CRO and CMO to optimize predictability, efficiency, and capital allocation using AI-driven workflows.
Support the monthly, quarterly, and annual GL close process by preparing reconciliations and posting journal entries. Partner with offshore AP teams and support external audit requests to ensure audit readiness and IPO scaling.
Lead technical accounting and financial reporting to prepare the company for its first external audit and eventual IPO. This includes owning GAAP financial statements, managing external auditors, and establishing SEC reporting and SOX frameworks.
Establish and lead the company's first dedicated tax function, managing everything from multi-state nexus and federal positions to international tax structures. The role involves preparing the company for its first external audit and potential public market entry (S-1) while integrating AI into tax workflows.
Build and open-source reference applications and technical content to drive the adoption of voice AI APIs. Act as a bridge between the developer community and internal product teams by providing technical feedback and leading in-person advocacy events.
The Partner Success Engineer will manage the full partner lifecycle, driving technical adoption and business growth through strategic advisory and hands-on technical support. They will also build automated systems and AI-driven workflows to scale partner success and eliminate recurring manual tasks.
Engineering Manager, Console Team (Product-Led Growth Strategy)
Deepgram
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Full Time
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2 months ago
Deepgram
Lead a multi-disciplined engineering team to build and scale self-serve products like Console and Product Playground. Partner with product, sales, and marketing teams to drive product-led growth and enhance the AI-native developer experience.
You will build the data infrastructure and semantic layers that enable autonomous AI agents to navigate and act on company data. Additionally, you will partner with the Head of Data to ingest and transform internal audio data into queryable insights for GTM teams.
You will design and maintain the billing pipeline, including usage ingestion, metering, rating, and integration with financial platforms. Additionally, you will develop customer-facing billing dashboards and internal analytics tools to support revenue operations and business intelligence.
You will lead the technical strategy for deploying speech AI models to edge and embedded environments, collaborating with hardware partners and defense customers. This involves optimizing models for constrained hardware and designing secure, production-grade deployment infrastructure.
The Solutions Architect will manage post-sales customer engagements by providing technical guidance and resolving complex support issues. They will also design automated solutions and infrastructure improvements to enhance the overall customer support experience.
Lead technical discovery and solution design for enterprise prospects while architecting custom proof-of-concepts. Partner with account executives to navigate technical objections and accelerate the sales cycle.
The Engineering Manager will lead two teams in designing and implementing core voice AI APIs while driving technical strategy for scalability and reliability. They are responsible for recruiting top talent, mentoring engineers, and partnering with Product and Research teams to deliver high-impact products.
You will design and maintain CI/CD pipelines and deployment infrastructure to transition ML models from research to production. Additionally, you will implement monitoring, A/B testing, and optimization strategies to ensure model performance and reliability at scale.
You will define and drive the end-to-end infrastructure architecture for AI/ML workloads, including compute, storage, and networking systems. Additionally, you will lead capacity planning, cost optimization, and the design of elastic infrastructure to support both production inference and research training.
You will architect and optimize the global network infrastructure to ensure ultra-low latency for real-time voice AI applications. This includes managing CDN strategies, BGP routing, and bare metal networking across a hybrid cloud environment.
The engineer will own the technical delivery across federal deployments, embedding deeply with customers to design and build mission-critical applications using Deepgram's Voice AI models. This includes leading technical discovery, prototyping full-stack integrations, and ensuring successful deployments across customer environments.
The engineer will deploy Deepgram's voice AI platform into complex restaurant environments, partnering with customer leadership and technical stakeholders to integrate the platform into core operations. Responsibilities include writing code, debugging production issues, adapting the platform to constraints, and turning deployments into leverage by building tooling and reference architectures for future scaling.
This role involves deploying Deepgram’s voice AI platform into complex enterprise restaurant environments by embedding with customer teams to integrate the platform into core operations. The engineer will also translate real-world deployment patterns into reusable tooling, reference architectures, and product feedback for the broader team.
This role involves leading architecture and implementation for enterprise deployments utilizing Deepgram's speech, text-to-speech, and voice agent capabilities, while owning post-sales technical success for assigned accounts. Responsibilities include serving as the Tier-3 escalation point for complex issues, driving root cause analysis, and designing reference architectures for common APAC use cases.
The role involves leading technical discovery for strategic opportunities, designing and executing Proofs of Concept (POCs) to prove value, and building lightweight prototypes using Deepgram's APIs and SDKs. Responsibilities also include advising on architecture for performance and cost, handling security/compliance threads specific to APAC, and creating reusable technical assets.
The role involves leading technical discovery for strategic opportunities, designing and executing Proofs of Concept (POCs) to prove value, and building lightweight prototypes using Deepgram's APIs and SDKs. Responsibilities also include advising on architecture for performance and cost, managing security and compliance threads common in EMEA, and creating reusable technical assets.
The Solutions Architect will lead architecture and implementation for enterprise deployments utilizing Deepgram's voice capabilities, owning post-sales technical success, unblocking integrations, and serving as the Tier-3 escalation point for complex issues. This role also involves designing reference architectures for common EMEA use cases, building reusable assets, and partnering with Product and Engineering based on customer feedback.
This role serves as the General Manager for the self-serve business, owning revenue growth, conversion to enterprise, and the end-to-end user experience from initial contact through monetization. The VP will build and lead the necessary systems, teams, and cross-functional partnerships to convert strong inbound demand into sustainable, scalable growth.
The Engineering Manager will lead a team in designing and implementing internal data and ML training systems, focusing on building components for a data flywheel and large-scale distributed ML training on an HPC cluster. This role involves transforming visions into project plans, defining technical strategy for ML training pipelines, and fostering a robust engineering culture.
The engineer will partner with research scientists to prototype and validate novel modeling ideas, scaling them through robust training systems for speech technologies, internal tooling, and innovative data strategies. Key duties involve architecting scalable training systems for STT/TTS models, designing internal UIs for ML workflows, and overseeing training tooling, job orchestration, and data storage.
The Account Executive will be responsible for driving new customer acquisition and revenue by self-prospecting to build a strong sales pipeline and exceeding quarterly and annual sales targets. This role also involves collaborating with cross-functional teams, deeply understanding customer needs in voice AI, and managing relationships to drive upsell opportunities.
Site Reliability Engineer - AI & ML Infrastructure (Kubernetes, AWS & Terraform)
Deepgram
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Full Time
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3 months ago
Deepgram
The engineer will architect, build, and operate the hybrid infrastructure foundation for AI/ML research and product development spanning AWS and bare metal data centers. This involves creating a robust, self-service environment using Kubernetes, Terraform, and orchestrating high-demand GPU workloads with schedulers like Slurm.
The engineer will design, develop, and maintain scalable, high-performance backend systems for an automated order-taking platform, collaborating closely with the team to integrate ML models and client devices.
They will also build integrations with third-party restaurant software systems and optimize the AI pipeline to handle challenging audio environments and scale rapidly.
The role involves architecting and deploying agent-assisted intelligence systems to move beyond static dashboards, proactively reasoning across data silos to surface automated root-cause analysis and recommendations. The individual will also co-evolve the data stack to make infrastructure agent-ready and act as the primary data partner to the CEO and Board on long-term strategy.
The role involves owning end-to-end delivery of new model versions and features for flagship STT and TTS offerings, coordinating tightly across Research, Product, DataOps, and Engineering to hit milestones. This includes defining lightweight processes, mapping dependencies and risks, and running cross-functional programs from scope definition through launch readiness.
The engineer will lead the design and implementation of Deepgram’s Voice Agent product, focusing on secure, robust, and scalable services for speech processing and building necessary integrations. Key tasks include improving core inference services related to networking and model orchestration, developing integrations with various AI models, and debugging complex system issues.
Act as a technical expert and strategic advisor to enterprise customers, ensuring adoption and solving complex technical challenges. Manage the full customer lifecycle from onboarding to expansion while aligning partner strategies with Deepgram’s roadmap.
Own the analytics strategy for self-serve growth by designing experiments and building measurement infrastructure. Collaborate with product managers and designers to define success metrics and drive insights that increase conversion rates.
The Strategic Account Executive will self-prospect to build a strong sales pipeline and exceed sales targets while collaborating with cross-functional teams. They will also maintain relationships with key stakeholders and drive upsell opportunities.
As a member of the Research Staff, you will develop Latent Space Models to address challenges in building robust voice AI. Your research will involve creating neural audio codecs, generative models, and embedding systems to enhance voice interaction capabilities.
You will lead the design and implementation of Deepgram’s internal data and ML training systems. This includes improving core data services, engineering ML training code, and partnering with DataOps and Research teams.
The Account Executive will self-prospect to build a strong sales pipeline and strive to exceed sales targets. They will work closely with cross-functional teams to ensure sales effectiveness and maintain relationships with key stakeholders.
