Deepgram

Systems Engineer

• Define and drive the end-to-end infrastructure architecture for Deepgram's AI/ML workloads across production inference and research training
• Design multi-cloud and hybrid infrastructure strategies that balance performance, reliability, cost, and vendor flexibility
• Architect compute orchestration systems that efficiently schedule and manage GPU and CPU workloads across heterogeneous infrastructure
• Design storage architectures that handle the massive datasets required for speech and audio ML -- from high-throughput training data pipelines to low-latency model serving
• Lead capacity planning across all infrastructure dimensions, modeling growth and ensuring Deepgram can scale ahead of demand
• Drive cost optimization and FinOps practices, identifying opportunities to reduce infrastructure spend without compromising performance or reliability
• Design burstable, elastic training infrastructure that can scale up for large training runs and scale down to minimize idle cost
• Architect research compute infrastructure that gives ML teams the resources they need while maintaining operational efficiency
• Establish architectural standards, design review processes, and technical documentation practices for infrastructure decisions
• Collaborate with engineering leadership to align infrastructure strategy with product roadmap and business objectives
• Evaluate emerging hardware, cloud services, and infrastructure technologies for potential adoption

Systems Architect – AI/ML Infrastructure

Infrastructure Engineer

• Design and build CI/CD pipelines specifically tailored for ML model development, validation, and deployment
• Architect and maintain model deployment pipelines that move models from research environments through staging to production with confidence
• Build A/B testing infrastructure that enables controlled rollouts of new models and measures real-world performance impact
• Implement comprehensive monitoring for model performance in production -- accuracy metrics, latency, drift detection, and regression alerts
• Develop automated retraining pipelines that trigger on data changes, performance degradation, or scheduled cadences
• Create and maintain build and test environments that mirror production, giving researchers high-fidelity feedback before deployment
• Establish model versioning, artifact management, and rollback capabilities to ensure safe and reproducible deployments
• Collaborate with research engineers to define and enforce model quality gates before production promotion
• Build observability dashboards that give the team real-time insight into model health across all environments
• Optimize model serving infrastructure for latency, throughput, and cost efficiency

ML Ops Infrastructure Engineer

Network Engineer

• Architect and optimize Deepgram's global network for real-time audio streaming, minimizing latency across geographic regions
• Design and manage CDN and edge computing strategies to bring processing closer to end users
• Configure and maintain BGP routing, including peering relationships and route optimization for multi-cloud and bare metal environments
• Implement and tune load balancing solutions that intelligently distribute traffic across heterogeneous infrastructure (cloud, bare metal, GPU clusters)
• Build and optimize multi-cloud networking architectures spanning AWS, other cloud providers, and on-premises data centers
• Design and maintain bare metal networking including top-of-rack switching, spine-leaf architectures, and high-bandwidth GPU interconnects
• Develop latency measurement, monitoring, and optimization tooling to continuously improve network performance
• Plan and execute network capacity expansions as Deepgram's traffic and infrastructure footprint grow
• Collaborate with infrastructure and platform teams to ensure network designs support both real-time inference and large-scale training workloads
• Establish network security best practices including segmentation, DDoS mitigation, and access control policies

Network Engineer – Real-Time Infrastructure

Data Scientist

• Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models
• Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models
• Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs
• Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems
• Document and present results of data experiments and analysis for internal and external audiences

Research Staff, Data Science

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, SDR, and Partner 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 STT, TTS, and Voice Agent space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully
• Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing

Strategic Account Executive

Artificial Intelligence

• Pioneer the development of Latent Space Models (LSMs)
• Build next-generation neural audio codecs
• Pioneer steerable generative models
• Develop embedding systems for codec latent space
• Leverage latent recombination for synthetic audio data
• Train multimodal speech-to-speech systems
• Design model architectures, training schemes, and inference algorithms

Research Staff, Voice AI Foundations

• 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

Pre-Sales Solutions Engineer

• 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

Corporate Account Executive

Sales Development Rep

• Work with our Partnerships team, Account Executives, and your fellow SDRs to build a strong sales pipeline of new logos, striving to exceed quarterly sales targets
• 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 ASR space, competition, and Deepgram products to be able to fully articulate our value proposition
• Research companies to find new speech recognition use cases and opportunities in the market

Sales Development Representative

• Deploy Deepgram’s voice AI platform into complex restaurant environments
• Embed with customer engineering teams as a trusted technical peer
• Own the end-to-end technical implementation of Deepgram’s voice AI platform
• Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements
• Monitor, troubleshoot, and resolve technical issues in live deployments
• Codify patterns into tools, playbooks, reference architectures for broader team use
• Translate real-world deployment challenges into actionable requirements for product and engineering teams

Solutions Engineer – Enterprise

Engineer

• Deploy Deepgram’s voice AI platform into complex restaurant environments
• Embed with enterprise restaurant brands and technology partners
• Write code, debug production issues, and adapt the platform
• Operate as a trusted technical partner to both customer leadership and engineering teams
• Identify patterns across customers to shape product improvements

Forward Deployed Engineer, Restaurants

• Deploy Deepgram’s voice AI platform into complex restaurant environments.
• Embed with enterprise restaurant brands and technology partners to integrate the platform.
• Write code, debug production issues, and adapt the platform to constraints.
• Act as a technical partner to customer leadership and engineering teams.
• Monitor, troubleshoot, and resolve technical issues in live deployments.
• Translate real-world deployment challenges into actionable requirements for product and engineering teams.

Forward Deployed Engineer, Deepgram

Developer Relations

• Ship Partner Integration Recipes: Architect and open-source complete, runnable examples.
• Audit & Map the Partner DX: Document every friction point.
• Own Partner Relationships: Build and maintain ongoing relationships with partner engineering.
• Be the "Zero-Index" Sensor for Partners: Act as the first customer for every partner integration.
• Synthesize Cross-Functional Intel: Maintain living partner context docs.
• Show Up in Partner Communities: Be a known, helpful presence in partner community spaces.
• Code-First Content: Produce deep-dives, video walkthroughs, and documentation.
• Raise the Bar for Partner Work: Document repeatable playbooks for team scaling.
• Frame Impact Around Developer Outcomes: Track partner integration health.
• Strategic Travel & Outreach: Spend ~25% of your time leading workshops and co-presenting.

Senior Developer Advocate, Partner Ecosystem

• Ship Reference Apps & Demos: Architect and open-source sample apps that solve real-world challenges — building real-time voice agents, orchestrating multiple voice AI models, streaming audio intelligence pipelines. Every demo should be runnable, well-documented, and designed for developers to learn from and build on.
• Code-First Content: Produce deep-dives, video walkthroughs, and "build-in-public" documentation that moves developers from idea to working prototype in minutes. You write and build for developers.
• Be the "Zero-Index" Sensor: Act as the first customer for every new feature and API change. Turn feedback from your own builds and from the developer community into Friction Reports that influence Product and Engineering priorities.
• Own Technical Narrative: Author high-quality technical content across blogs, social media, and video platforms that establishes Deepgram as the default choice for voice AI.
• Community Engagement: Engage where developers live (GitHub, Reddit, X, Discord, Hacker News) to represent Deepgram, answer questions, and earn community trust through consistent technical presence.
• In-Person Advocacy: Serve as Deepgram's on-the-ground presence primarily in the US. Lead workshops, speak at meetups and AI conferences, and build relationships with the developer community. Expect ~25% travel.
• Cross-Pillar Contributions: Contribute to the Developer Experience pillar - building integration recipes, improving SDK documentation, or building demo tooling.
• Multiply the Team: Document your processes and playbooks. Mentor teammates on content strategy, demo architecture, and community engagement patterns
• Connect Work to Outcomes: Frame your impact in terms of developer outcomes — sign-ups, activations, content-to-trial conversion, community growth. Articulate the business case and impact for your work.