The Privacy Operations Lead will own the operational backbone of the privacy program, including conducting risk assessments and maintaining data flow maps. They will serve as the technical voice in customer privacy reviews and design processes to ensure privacy claims are repeatable and verifiable.
The Security Engineer will build and automate technical security controls across bare-metal and cloud infrastructure. They are responsible for vulnerability management, penetration testing, and ensuring compliance with SOC 2, PCI DSS, and ISO 27001 standards.
The Compliance and Documentation Lead will own the privacy and security compliance programs, including managing audits, assessments, and data flow mapping. They will also be responsible for maintaining internal policies, public-facing trust documentation, and security questionnaires.
The Director of People will lead the People Ops and HRBP teams while shaping the company's people strategy and operational roadmap. They are responsible for overseeing performance management, talent development, employee experience, and ensuring compliance across the organization.
You will manage relationships with hardware and cloud infrastructure partners to drive technical integrations and joint go-to-market strategies. This role involves collaborating with cross-functional teams to define joint solutions and achieve measurable revenue growth.
The Recruiting Coordinator will manage interview scheduling and logistics to ensure a seamless candidate experience across all functions. They will also leverage AI and automation tools to streamline coordination tasks and maintain accurate data within the applicant tracking system.
Own the AWS partnership co-sell target and grow enterprise relationships, joint pipeline, Marketplace transactions, and revenue, initially focusing on healthcare and financial services. Coordinate co-building, co-marketing, seller enablement, and partnership reporting with AWS and Deepgram teams, while also managing other partnerships.
You will define the persona, turn-taking, and conversational behavior for Deepgram's voice agents while collaborating with ML and engineering teams. Additionally, you will establish quality evaluation frameworks and create developer-facing guidance to ensure natural, production-grade voice interactions.
The Director of Research will own the end-to-end Text-to-Speech program, including research strategy, technical direction, and production model deployment. This role involves leading a team of researchers and engineers while staying deeply involved in technical architecture, experimentation, and evaluation.
The Talent Researcher will build and maintain talent maps, conduct market research, and develop proactive candidate pipelines to support hiring across technical and business roles. You will partner with recruiters and hiring leaders to deliver actionable market intelligence and refine sourcing strategies to identify high-potential talent.
You will partner with the People & Talent team to design and build AI-powered workflows that automate manual, high-friction HR processes. This involves developing internal tools, integrating AI agents with existing systems, and ensuring secure, scalable operations.
You will structure, negotiate, and close complex enterprise sales and partnership agreements while serving as a key legal partner to business teams. Additionally, you will design scalable legal processes and provide guidance on privacy, intellectual property, and AI-specific regulatory issues across the UK, EU, and APAC regions.
The Associate General Counsel will lead corporate governance, financing, M&A transactions, and IPO readiness initiatives. They will also build AI-native legal workflows and manage international corporate structures to support the company's rapid growth.
You will own the company's metric registry, establishing canonical definitions and ensuring they are enforceable within the semantic layer and data systems. Additionally, you will audit reporting assets, build data quality checks, and verify the accuracy of AI agents accessing company data.
You will lead a team of recruiters to execute full-cycle hiring across engineering, research, and go-to-market functions. The role involves building AI-native recruiting workflows, optimizing hiring systems, and coaching the team to meet aggressive growth targets.
The Strategic Account Executive will manage and grow a portfolio of Fortune 500 accounts in the New York area through strategic engagement and in-person meetings. They will also self-prospect to build a robust pipeline and collaborate with cross-functional teams to drive revenue and meet sales targets.
The Executive Business Partner will partner with the SVP of Customer Success to manage priorities, drive cross-functional initiatives, and improve operational effectiveness. They will synthesize complex business data into executive-level narratives and ensure the leadership team is prepared for key meetings and strategic decisions.
Design, build, and maintain automated test frameworks and exploratory test suites for products, APIs, and AI models. Collaborate with cross-functional teams to define test strategies, execute evaluations, and ensure high-quality software releases.
You will serve as the single accountable owner for the AWS partnership, managing technical adoption, commercial outcomes, and joint go-to-market strategies. This role involves driving consumption growth, navigating complex three-way dynamics, and building AI-driven systems to optimize partner success.
You will own the full-cycle sales process for your territory, including generating your own pipeline and managing direct and partner-led deals. Additionally, you will work closely with technical teams to guide evaluations and expand account usage within the APAC and ANZ regions.
You will lead the technical design and delivery of customer implementations across the MENA region, from initial kickoff to production cutover. Additionally, you will drive pre-sales technical discovery, proof-of-concepts, and evaluations to secure technical wins for regional prospects.
The Accounting Manager will lead complex monthly close processes, manage technical accounting workstreams, and drive the company's transition through external audits and ERP migrations. They are responsible for mentoring the accounting team and integrating AI-driven automation into financial workflows.
The Director of Research will own the end-to-end Text-to-Speech program, including research strategy, technical direction, and model production. They will lead a team of researchers and engineers while staying deeply involved in technical architecture, experimentation, and evaluation.
You will manage adoption, retention, and expansion for a large portfolio of customers using a one-to-many digital-first approach. This involves designing automated customer journeys, providing technical API guidance, and building scalable systems to improve customer outcomes.
You will characterize conversational data to identify valuable insights and design active-learning loops to improve model performance. Additionally, you will build scalable data pipelines and develop methodologies to ensure representative benchmarking across diverse real-world speech conditions.
The Executive Assistant will act as a force multiplier for the CMO by managing complex calendars, travel logistics, and leadership operating cadences. They are responsible for building Human+AI workflows to streamline administrative tasks and ensuring cross-functional alignment across the marketing organization.
The Global Head of Real Estate and Workplace will take full ownership of the company's physical spaces, from site selection and lease negotiation to construction and facilities operations. This role involves building and leading a team to manage a repeatable playbook for opening and running offices globally.
You will own the end-to-end codebase, architecture, and CI/CD processes for deepgram.com while managing the Sanity CMS and global design system. Additionally, you will lead technical SEO, internationalization efforts, and integrate AI-native workflows into the marketing site's development.
You will own the end-to-end solutions bill of materials, including narratives, decks, and demos to drive market adoption. You will also build a repeatable, AI-powered content engine to support sales and demand generation efforts.
Own the go-to-market strategy and category narrative for Deepgram's Voice Agent platform to drive developer adoption and enterprise deployment. Collaborate across product, sales, and developer relations teams to build compelling messaging, technical collateral, and competitive battlecards.
Lead technical discovery and design solution paths for strategic accounts to drive adoption of Deepgram's Voice AI platform. Collaborate with internal teams to execute proofs of concept, provide architectural guidance, and ensure seamless production launches.
Lead technical discovery and design solution paths for strategic accounts to drive adoption of Deepgram's voice AI platform. Partner with account executives throughout the sales cycle, from initial discovery and POC execution to production launch and expansion.
You will own the go-to-market strategy for Federal Civilian agencies, building and scaling a book of business from the ground up. This involves managing direct and partner-assisted sales motions while leveraging AI-native workflows to drive pipeline and revenue.
You will build and scale Deepgram's federal partner network by designing sell-to, sell-through, and sell-with motions with systems integrators and hyperscalers. You will also leverage AI-native tools and automation to manage pipeline, drive revenue, and represent the company at federal industry events.
Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts, managing the full customer lifecycle from onboarding to expansion. Drive product adoption through technical workshops, architecture guidance, and the development of AI-driven workflows to eliminate recurring tasks.
You will own the end-to-end product experience for AI agents, including discovery, integration, and production usage. You will also build and optimize the systems that measure agent behavior and improve the developer platform.
You will design and execute end-to-end data workflows, including raw audio ingestion and the creation of production-ready datasets. Additionally, you will collaborate with research and engineering teams to align data collection strategies with model training requirements and product goals.
Define and build evaluation methodologies and automated pipelines to validate the quality of speech, audio, and multimodal AI models. Partner with Research and DevOps to create reproducible pass/fail gates and production monitoring systems to prevent regressions.
Own the growth of the developer's self-serve journey from first touch to committed customer by managing the onboarding, console, and activation paths. Establish a data-driven system for shipping, measuring, and optimizing product changes through a weekly rhythm of experimentation.
Own the enterprise adoption strategy by removing product blockers related to security, compliance, and procurement. Lead the development and delivery of enterprise-ready features across the Console, APIs, and managed endpoints.
Lead the corporate communications strategy to enhance Deepgram's market position and visibility across media, social channels, and executive voice. Own the narrative for product launches and company milestones to establish the company as a leader in the voice AI ecosystem.
Build and lead an editorial function to transform complex technical insights into compelling stories, executive essays, and recurring content series. Develop an editorial strategy and content calendar that reinforces the company's narrative and establishes leadership in the voice AI space.
Lead the strategic direction and technical roadmap for developer experience, specifically owning the SDK code-generation architecture. You will define quality standards across multiple languages and collaborate cross-functionally to reduce friction in the developer integration funnel.
The intern will own and ship a scoped project end-to-end, contributing to the ASR pipeline, TTS latency, or developer SDKs. They are expected to integrate AI into their workflow and present their findings to the engineering team.
Serve as a strategic partner to leaders to manage employee relations, performance cycles, and manager effectiveness within a remote-first environment. Build and scale people processes, ensure legal compliance, and manage work authorization and immigration needs.
Build and ship full-stack features for customer-facing Console and Playground experiences and internal productivity tools. Design and maintain the APIs and backend services that power these interfaces while collaborating with product and design teams.
Serve as the technical and strategic owner for infrastructure partners, driving the adoption of Deepgram's voice AI across various deployment environments. You will lead technical validations, manage the partner lifecycle, and translate partner needs into product requirements to drive channel growth.
Lead the design and implementation of secure, scalable backend services for speech processing and distributed compute orchestration. Improve core inference services focusing on networking, latency, and memory optimization to maximize system performance.
Lead the strategy and hands-on implementation of AI enablement to make Deepgram an AI-native organization. This involves building reusable agents, workflows, and standards to increase productivity across all company functions.
Drive the end-to-end delivery of large-scale ML infrastructure and AI tooling, including model training pipelines and real-time inference systems. Act as the primary connector between ML research, engineering, and product teams to align technical strategy and execution.
Own and streamline the research-to-production pipeline by turning research checkpoints into scalable, monitored production models. Partner with research scientists to build robust training workflows and optimize model serving for latency and throughput.
Lead the design and implementation of secure, scalable backend services for speech processing and distributed compute orchestration. Improve core inference services focusing on networking, audio transcoding, and system performance optimization.
Optimize and deploy Deepgram's speech and conversational AI models onto resource-constrained embedded and edge hardware. Develop performance-critical runtime code and establish benchmarking pipelines to ensure efficiency in latency, power, and memory.
Lead the end-to-end demand generation engine to convert voice-AI leadership into qualified pipeline and revenue. Manage integrated campaigns, paid media, and events while partnering with Sales and RevOps to optimize the full revenue funnel.
Drive the end-to-end delivery of complex technical programs spanning hardware, software, and research efforts. Act as the primary coordinator between engineering, research, and product teams to resolve bottlenecks and align priorities.
Build an industrial data factory to power next-generation Voice AI systems by driving high-performance data acquisition and synthesis pipelines. Collaborate with engineering and product teams to develop advanced characterizations of conversational audio and scalable benchmarking methodologies.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
