Deepgram

Product Manager

• The growth of the self-serve funnel.
• The product across that experience.
• The complete system your area runs on.
• A weekly rhythm of shipping and measuring.
• The cross-team work that falls between owners.

Staff Product Manager – Self Serve, Growth

Content Marketing Manager

• Build editorial strategy and a content calendar that ladder up to Deepgram’s company narrative, key messages, and major moments.
• Develop editorial themes around voice AI, enterprise AI, model development, customer impact, agents, and the future of human-AI interaction.
• Mine stories across research, engineering, product, customers, GTM, and leadership; interview internal and external stakeholders to surface insights.
• Write, edit, and produce core narrative materials, including executive posts, essays, customer stories, explainers, newsletters and launch support across formats and channels.
• Create repeatable editorial franchises and formats that reinforce Deepgram’s narrative over time.
• Make Deepgram’s technical, product, and customer stories more useful, more accessible, and more compelling.
• Support major moments, including the fall event.
• Partner with communications, product marketing, brand, design, video, and demand generation.
• Build editorial processes that improve quality and consistency without making everything heavy.

Head of Editorial Content

Communications

• Own corporate communications strategy in partnership with CEO, CMO, and executive leadership.
• Lead communications for product launches, model and product announcements, and company milestones.
• Build Deepgram’s research and product credibility by making the company a place people come for technical insight, model progress, useful demos, customer proof, and a thoughtful perspective on where voice AI is going.
• Mine stories across research, engineering, product, customers, GTM, and leadership.
• Build messaging, narratives, press materials, executive talking points, Q&A, and exec briefings.
• Manage proactive and reactive media.
• Support executive communications and thought leadership.
• Shape how Deepgram uses corporate social channels as part of the comms strategy.
• Help Deepgram show up in the industry conversations that matter.
• Support major moments, including the fall event.
• Partner with brand, product marketing, editorial, and demand gen.
• Establish lightweight comms processes for launches and coordination.

Head of Communications

Developer Relations

• Own the direction of developer experience.
• Own the SDK code-generation architecture.
• Set the standard for how developers experience the platform.
• Raise the level of everyone who touches the SDK surface.
• Attack friction at the root.
• Build the tooling the whole team relies on.
• Design for resilience and longevity.
• Be the technical voice into Product, Engineering, Marketing, and Partnerships.

Staff Developer Experience Engineer

Full-stack Engineer

• Own and ship one scoped project end-to-end over the internship — from design to reviewed, tested code running in [staging/production] — with mentor check-ins at each milestone.
• Land merged pull requests that improve [a component or product pillar — e.g., the ASR pipeline, TTS latency, or the developer SDKs].
• Make one measurable improvement that outlasts your term.
• Use AI as a default part of how you build — [e.g., to prototype, test, or debug faster] — and share one workflow improvement back with the team.
• Ramp on Deepgram's codebase and [your domain — e.g., speech/audio ML or real-time systems] deeply enough to debug and extend [system] with decreasing hand-holding by the end of the term.
• Present your project and learnings to the team, and leave behind documentation so the next person builds on what you started.

Software Engineering Internship

People Operations

• Serve as a primary point of contact for employee relations matters, including performance concerns, interpersonal issues, investigations, and complex workplace scenarios
• Coach managers through difficult conversations, feedback delivery, performance management, and documentation
• Provide consistent, fair, and legally sound guidance across key employee lifecycle moments
• Act as a trusted advisor to leaders on people-related risks, decisions, and trade-offs
• Partner with the Head of People to translate company strategy into people practices that are right-sized for scale
• Identify patterns and systemic issues early and recommend practical, upstream interventions
• Serve as a change partner to leaders, helping design, position, and operationalize organizational changes to drive understanding, adoption, and trust
• Support performance management processes, goal-setting, feedback cycles, and manager capability building
• Partner with leaders on team structure, talent and succession planning, and ways of working that enable strong performance and sustainable growth
• Help managers navigate underperformance, role clarity challenges, and organizational change
• Reinforce a culture of high performance without unnecessary bureaucracy
• Lead the offboarding and separation experience with employees and managers, including exit interviews, separation agreements, and coordination with Finance
• Partner on compensation cycles end to end, including merit and promotion rounds, off-cycle adjustments, and preparing change-of-salary and promotion letters
• Serve as a trusted point of contact for manager and employee compensation questions, using judgment on what to resolve directly and what to escalate
• Help build and refine People processes, templates, documentation, and manager resources
• Partner on tools and workflows that improve consistency, efficiency, and employee experience
• Balance compliance, speed, and sound judgment as the company grows
• Partner with the Head of People to support change initiatives (e.g., policy updates, process shifts), including re-education, leader enablement, and reinforcement
• Partner with People Ops, Legal, and Finance to ensure compliance with federal, state, local, and our local partners with regard to international employment laws
• Support leave administration, policy application, and complex employee situations
• Help ensure People practices are defensible, consistent, and aligned with company values
• Act as the point of contact for work authorization needs, including H-1B, STEM OPT and Form I-983, and TN visa reviews
• Partner with immigration counsel on case strategy and coordinate with candidates, employees, and hiring teams through each step

Senior People Partner

• Team leadership — directly managing the People Ops Manager and HRBP team.
• Execution of the people roadmap — You own the plan that gets it done: scoping the work, sequencing it, assigning it, and making sure it ships.
• HRBP function quality — you're responsible for the caliber of partnership the HRBPs deliver to the business.
• People Ops function oversight — partnering closely with the People Ops Manager to ensure the operational backbone (HRIS, lifecycle, compliance, benefits) is running cleanly and improving over time.
• Performance management — owning the execution of performance cycles, calibration support, and the ongoing coaching infrastructure that helps managers have better conversations with their teams.
• Employee experience — ensuring employees at every stage of the lifecycle, from onboarding through development to offboarding, have an experience that reflects who Deepgram is and what we expect of ourselves.
• Talent development — driving the programs and infrastructure that help Deepgram employees grow: manager training, career frameworks, development programming, and the tools that make growth legible.
• Compliance and policy — making sure the company stays ahead of employment law requirements, policy gaps, and risk exposure across all people practices.
• Senior escalation point — complex employee relations situations, sensitive manager conversations, anything that needs more experience or authority than the HRBP level.
• Cross-functional presence — representing the People function in operational and cross-functional threads that don't need the Head of People in the room.
• AI-native execution — actively using AI tools in your own work and driving adoption across your team and the company.

Director, People

• Build, ship, and maintain backend services using Node.js, Socket.IO, AWS Amplify, and DynamoDB
• Work across the frontend with TypeScript, React, Next.js
• Design and integrate APIs using both REST and GraphQL, supporting flexible, scalable data access across services
• Develop deep expertise in a few areas while remaining comfortable diving into new parts of the codebase
• Participate in code reviews and architecture discussions, fostering a culture of clarity, curiosity, and shared ownership
• Translate high-level product requirements into parallelizable, incrementally releasable tasks
• Balance short-term deliverables with long-term investments in efficiency, scalability, and performance

Senior Software Engineer – Saga, Voice OS

Infrastructure Engineer

• Serve as the technical advisor and strategic owner for a portfolio of strategic infrastructure partners, engaging everyone from developers and platform/ML engineers to CIOs and CTOs.
• Own the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
• Drive joint adoption through live demos, workshops, deployment architecture guidance, benchmarking, troubleshooting, and best-practice recommendations — making Deepgram successful inside the partner’s environment and on the partner’s hardware and platforms.
• Lead joint technical validation: scope and run POCs and evaluations that prove Deepgram models on partner infrastructure across self-hosted, on-prem, air-gapped, dedicated, and on-device/edge deployments, including security-sensitive and regulated use cases.
• Run discovery continuously: surface partner problems, understand their business impact, and translate them into actionable requirements for product and engineering.
• Identify and scope expansion (cross-sell, upsell, multi-product, co-sell) in partnership with Sales, and activate partner channels — OEMs, distributors, marketplaces, and cloud/inference providers — to reach their customer base. Lead executive business reviews and joint planning sessions.
• Support joint go-to-market and co-marketing in partnership with Marketing — joint blogs, one-pagers, PR, and live demos at partner events and industry conferences — to drive awareness and activate the channel.
• Act as the voice of the partner internally — influencing roadmap (especially deployment, self-hosted, security, and edge), GTM strategy, and the tools we build to support partners.
• Track adoption, usage, health, and expansion to drive outcomes; travel to partner sites and events as needed.
• Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader team. Your impact is measured by the leverage you create, not just the partners you serve.

Partner Success Engineer – Infrastructure

Backend Engineer

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

Senior Backend Engineer – API

Engineering Manager

• Own and drive AI enablement engineering across Deepgram
• Evaluate, prototype with, and select AI tools
• Build reference implementations and workflows
• Set and run company-wide AI adoption strategy
• Partner with various teams to define guardrails

Head of AI Enablement Engineering

• Own end-to-end delivery of AI infrastructure programs—from model training pipelines and experiment tracking to inference serving and production monitoring
• Define technical architecture, integration patterns, and rollout strategies for new ML systems and tooling (e.g., vector databases, model servers, evaluation frameworks, prompt engineering platforms)
• Serve as connective tissue between ML research, ML engineering, product, and data teams to align on ML system requirements, capability roadmaps, and deployment timelines
• Drive cost and latency optimization for real-time inference workloads at scale
• Build lightweight internal tools and processes to accelerate ML iteration cycles (experiment tracking, model versioning, A/B testing infrastructure)
• Identify and resolve technical bottlenecks in training pipelines, serving infrastructure, and model evaluation workflows
• Work closely with ML practitioners to translate research breakthroughs into scalable, observable systems

Senior Technical Program Manager – AI Tooling & Systems

Machine Learning Engineer

• Own the research-to-production pipeline
• Partner directly with research scientists to productionize new models
• Build and extend the tooling and abstractions
• Design and own model release gates
• Optimize models and serving for production
• Strengthen the build and delivery layer for models
• Establish benchmarking and validation
• Build the feedback loop

Applied ML Engineer

Systems Engineer

• Take Deepgram's Speech and Conversational models and get them running on embedded and low-power consumer hardware — defining the architecture for on-device, real-time inference across a diverse range of processors and accelerators.
• Optimize models for constrained targets through quantization, pruning, distillation, operator fusion, and architecture-specific compilation to meet strict latency, memory, power, and thermal budgets.
• Write and optimize performance-critical runtime code (C, C++, and/or Rust) for embedded environments, including bare-metal and real-time operating systems such as FreeRTOS and Zephyr.
• Integrate with industry-standard edge inference runtimes and vendor NPU/DSP toolchains, mapping model graphs efficiently onto on-device accelerators and CPU/GPU/NPU heterogeneity.
• Build the on-device runtime plumbing: model packaging, deployment pipelines, over-the-air update mechanisms, and lightweight telemetry for devices operating with limited or intermittent connectivity.
• Establish repeatable benchmarking and validation across target hardware — measuring latency, accuracy, power consumption, memory footprint, and resource utilization — and catch regressions before they ship.
• Partner with silicon and device vendors on SDK integration and performance tuning, getting our models to run efficiently on new chipsets and reference platforms.
• Collaborate with Research and Engine teams to influence model architectures toward edge-friendly designs from the start, reducing the optimization burden at deployment time.

Embedded AI Engineer, On-Device Models

Technical Customer Success

• Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts, partnering with everyone from developers to CIOs and CTOs.
• Own the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
• Drive adoption through live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations — making Deepgram successful inside the customer's environment.
• Run discovery continuously: surface customer problems, understand their business impact, and translate them into actionable requirements for product and engineering.
• Identify and scope expansion (cross-sell, upsell, multi-product) in partnership with Sales, and lead executive business reviews and joint planning sessions.
• Act as the voice of the customer internally — influencing roadmap, GTM strategy, and the tools we build to support customers.
• Track adoption, usage, health, and expansion to drive outcomes; travel to customer sites as needed.
• Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader CS team. Your impact is measured by the leverage you create, not just the accounts you serve.