Deepgram

Solutions Engineer

• Lead technical discovery and solution design for enterprise prospects and customers
• Architect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases
• Provide expert guidance on API integration, performance optimization, and deployment strategies
• Partner with Account Executives to navigate technical objections and accelerate the sales cycle
• Contribute to technical content creation including implementation guides, reference architectures, and best practices
• Mentor junior team members and share technical knowledge across the organization
• Represent the voice of the customer to product and engineering teams

Senior Pre-Sales Solutions Engineer

• Own complete post-sales customer engagements, providing direct technical guidance and solutions
• Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems
• Design and implement systematic improvements to our support process and infrastructure
• Create automated solutions and self-service tools that address common customer challenges
• Analyze support ticket patterns to identify product improvement opportunities and preventative measures
• Develop technical documentation, guides, and best practices that enable customers to self-solve issues
• Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities
• Partner with the broader Applied Engineering team to share knowledge and balance support workload
• Occasionally assist with implementation projects and pre-sales activities as needed

Solutions Architect

Account Executive

• Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings
• Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
• Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers
• Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing

Account Executive, EMEA

Marketing

• Build and maintain strong relationships with media, analysts, and key influencers
• Develop and drive a strategic comms roadmap to elevate our industry profile
• Manage PR agencies and press opportunities to secure top-tier coverage
• Own awareness advertising campaigns across digital, podcast, OOH, and print
• Collaborate with growth marketing on integrated campaign planning
• Drive creative development for high-impact brand moments
• Set the awareness strategy for Deepgram’s social channels to amplify our voice and reach
• Create and curate compelling content that engages the AI and developer ecosystems
• Establish KPIs and grow our audience, influence, and engagement across platforms
• Refine and scale Deepgram’s brand positioning and identity across all channels
• Ensure consistent brand execution across product, web, content, campaigns, and comms
• Partner with design and web teams to evolve our visual identity and tone
• Lead the strategy and execution for brand-forward video storytelling
• Partner with creative and product marketing teams to develop thought leadership and brand narrative content
• Drive distribution through owned and earned channels

Head of Awareness Marketing

Product Marketing

• Own messaging and positioning for Deepgram’s STT products, highlighting accuracy, speed, scalability, and compliance for enterprise use cases.
• Develop GTM strategies and campaigns that drive adoption of new Nova & Flux model releases and vertical-specific custom models.
• Partner with Sales and Solutions Engineering to create competitive battlecards, objection-handling guides, and customer-facing collateral.
• Collaborate with Product to influence the roadmap with market insights, customer needs, and competitive trends.
• Build case studies, testimonials, and proof points that reinforce Deepgram’s leadership in STT.
• Enable demand generation with clear value propositions, website content, and SEO strategy tied to “speech-to-text” and enterprise-focused search intent.
• Track performance of STT campaigns and GTM initiatives, ensuring data-driven improvements.

Senior Product Marketing Manager – STT

Accounts Receivable

• Maintain AR aging schedules
• Execute dunning cadence and partner with Sales/CS on collections
• Prepare and send invoices (including usage-based billing reconciliations when applicable)
• Monitor customer-facing inboxes; triage/respond to customer requests
• Manage billing portals, purchase orders, and customer payment documentation
• Support contract processing and invoicing
• Assist with month-end close by preparing AR reconciliations and supporting revenue schedules
• Partner with Director of Revenue & AR on upcoming changes to revenue recognition methodology, with exposure to ASC 606 application in a SaaS environment
• Contribute to documentation and continuous process improvements
• Identify opportunities to strengthen controls and streamline recurring workflows
• Support upcoming system and tooling updates (e.g., ERP/billing integrations, usage platforms, etc.)
• Leverage prior system experience to help with testing, troubleshooting, and process transitions

Revenue & AR Specialist

Chief of Staff

• Partner with the CEO and Executive Leadership Team to turn strategy into consistent execution
• Design and drive operating rhythms that keep priorities clear and leaders aligned
• Tighten goal-setting, strengthen planning and accountability systems
• Free the CEO and leadership team to focus on highest-impact work
• Act as a strategic partner, operator, and force multiplier between founder’s associate and traditional Chief of Staff
• Ensure day-to-day work gets done while enabling rapid company growth

Customer Success Manager

• Develop and scale best practices, processes, and tools for partner success management
• Act as a technical expert and strategic advisor to partners, engaging developers, engineers, and executives to align business goals with technical solutions
• Build, nurture, and sustain partner/customer relationships across personas from developers to C-level stakeholders
• Conduct regular on-site visits, work hands-on to drive adoption, and embed Deepgram into partner workflows
• Own full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy
• Ensure products are integrated, enabled, and adopted effectively using best practices and reference architectures
• Continuously operate in discovery mode, surface issues, and translate them into actionable requirements for internal teams
• Run live product demos, guide architecture discussions, and troubleshoot L1-style issues
• Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies
• Leverage AI to amplify impact, surface insights, and improve internal systems
• Identify and scope expansion opportunities (cross-sell, upsell, multi-product adoption) partnering with Sales
• Initiate and lead executive business reviews, joint planning sessions, and strategy workshops
• Serve as the voice of the customer internally to influence product roadmap and GTM strategy
• Track, analyze, and report on key KPIs (adoption, usage, health, satisfaction, expansion, revenue impact)
• Lead issue resolution and serve as escalation point for complex partner matters

Partner Success Engineer

Technical Customer Success

• Act as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives
• Build, nurture, and sustain customer relationships across all personas (from developers and program managers to CIOs, CTOs, and other C-level stakeholders)
• Conduct regular on-site visits with customers to partner closely, work hands-on to drive adoption, and actively embed Deepgram into their workflows
• Own and manage the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy
• Make Deepgram successful in the customer’s environment by ensuring products are integrated, enabled, and adopted effectively using best practices and reference architectures
• Continuously operate in discovery mode to surface customer issues and translate them into actionable requirements for internal teams
• Run live product demos, guide architecture discussions, and troubleshoot L1-style issues, bridging support, solutions design, and commercial growth
• Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies
• Leverage AI to amplify impact: apply AI in Customer Success to drive customer outcomes and surface insights
• Proactively identify and scope opportunities for expansion (cross-sell, upsell, multi-product adoption) partnering with Sales
• Develop and execute structured customer success plans aligning business outcomes with Deepgram’s product capabilities
• Initiate and lead executive business reviews, joint planning sessions, and strategy workshops
• Serve as the voice of the customer internally to influence product roadmap, GTM strategy, and internal tools
• Track, analyze, and report on KPIs (adoption, usage, health, satisfaction, expansion, and revenue impact)

Customer Success Engineer

Product Designer

• Lead and contribute to high-priority design initiatives from discovery through delivery while mentoring designers
• Set a clear, compelling vision for design and user experience across products and guide teams through critique, collaboration, and craft
• Work directly with Product, Engineering, and Research leaders to shape strategy and roadmap decisions
• Hire, develop, and retain a diverse, high-performing design team and foster a culture of feedback, rapid iteration, and continuous learning
• Elevate design quality and consistency through thoughtful systems, documentation, and process improvements
• Represent the voice of design at the leadership level, advocating for user needs and design impact
• Do hands-on design and prototyping for complex, high-impact initiatives

Director of Product Design

Backend Engineer

• Lead design and implementation of Deepgram’s backend products and services for speech AI
• Improve core inference services including networking, speech processing, audio transcoding, and latency/memory optimization
• Develop processes for measuring, building, and optimizing services to maximize system performance
• Debug complex system issues spanning networking, scheduling, and high-performance computing interactions
• Rapidly customize backend services to support customer needs
• Partner with Product to design and implement new services, features, and products end to end

• Lead architecture and implementation for enterprise deployments that use Deepgram speech-to-text (STT), text-to-speech (TTS), and voice agent (VA) capabilities.
• Own post-sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.
• Serve as the Tier-3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.
• Design reference architectures and implementation patterns for common APAC customer use cases including contact centers, voice analytics, QA, and AI agents.
• Build high-quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.
• Contribute to pre-sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.
• Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.
• Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions and languages.
• Participate in an on-call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.

Solutions Architect, Applied Engineering

• Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.
• Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.
• Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.
• Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.
• Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.
• Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.
• Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.
• Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.
• Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.
• Remote across EMEA with periodic regional meetups.

Senior Pre-Sales Solutions Engineer - EMEA

• Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.
• Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.
• Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs.
• Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.
• Run security and compliance threads common in APAC. Prepare crisp responses for Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.
• Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.
• Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.
• Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.
• Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.

Senior Pre-Sales Solutions Engineer - APAC

• What You'll Do
• Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings
• Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
• Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers
• Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing

Machine Learning Engineer

• Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings.\n• 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing.\n• The Opportunity: 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.\n• The Role: Deepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research Staff team. As a Member of the Research Staff, this role focuses on scaling training systems for speech related technologies, building internal tools, and driving innovation in data strategies. You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems.\n• Key Responsibilities\n Scalable Model Training: Architect and manage horizontally scalable training systems for Speech to Text (STT) and Text to Speech (TTS) models across diverse domains, including, but not limited to: non-english languages, use cases, and customer-centric. These systems include data preparation and management, training pipelines, and automated evaluation tooling.\n Tooling & Accessibility: Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. These UIs should be designed to provide transparency and flexibility to internally built tooling.\n Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.\n• The Challenge: We are seeking Members of the Research Staff who: See "unsolved" problems as opportunities to pioneer entirely new approaches; Can identify the one critical experiment that will validate or kill an idea in days, not months; Have the vision to scale successful proofs-of-concept 100x; Are obsessed with using AI to automate and amplify your own impact.\n• If you find yourself energized... you might be the researcher we need.\n• It's Important to Us That You Have: Strong experience in training large-scale machine learning systems, particularly in STT or related speech domains. Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect. Familiarity with ML lifecycle tools such as MLflow. Experience building internal tools or dashboards for non-technical users. Hands-on experience with data engineering practices for unstructured audio and text data. Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.

Research Staff, Machine Learning Engineer

Data Scientist

• Company Overview: Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram\n• The Opportunity: 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.\n• The Role: 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.