8 months ago
Base Salary
$180k - $245k/yr
Responsibilities
- Own technical delivery for federal deployments from initial prototype through stable production.
- Embed with federal customers to design and build mission-critical applications powered by Deepgram Voice AI models.
- Deploy and operate models in self-hosted, air-gapped, edge, and hardware-constrained environments.
- Lead technical discovery, solution design, demonstrations, proof-of-concepts, and proposal support with Account Executives.
- Build full-stack integrations using Python, JavaScript, Rust, or comparable technologies.
- Deliver observable systems spanning infrastructure through applications and optimize deployment performance.
- Scope work, sequence delivery, remove blockers, and balance scope, speed, and quality.
- Build relationships with customer leadership and technical stakeholders to ensure successful deployment and scale.
- Contribute directly to code and serve as an escalation point for complex federal deployment issues.
- Create reusable tools, playbooks, reference architectures, automation, documentation, and deployment guides.
- Share customer and field feedback with Product and Engineering to influence model and product development.
- Analyze deployment patterns to identify product opportunities and inform federal go-to-market strategy.
Requirements
- Active Top Secret clearance or equivalent.
- At least 5 years of engineering or technical deployment experience, ideally in customer-facing or government environments.
- Professional software development experience in at least one modern programming language such as Python or JavaScript.
- Experience scoping and delivering complex systems in fast-moving or ambiguous contexts.
- Experience building and deploying production systems in government or similarly constrained environments.
- Strong verbal and written communication skills, including the ability to explain technical concepts to technical and non-technical stakeholders and senior government leadership.
- Willingness to travel up to 50%, including on-site work at government facilities.
- Preferred experience with speech recognition, NLP, AI or voice agents, and related AI technologies.
- Preferred familiarity with AWS GovCloud, Azure Government, Kubernetes, Terraform, and related infrastructure.
- Preferred experience deploying software or models in on-premises, air-gapped, or edge environments.
- Preferred experience with LLMs or generative models and understanding of how model behavior affects product experience.
- Preferred knowledge of FedRAMP, FISMA, or other government compliance frameworks.
- Preferred experience with API-first products, developer tools, federal sales or procurement cycles, automation, self-service tools, and technical documentation.
Benefits
- Remote work based in the Washington, D.C. metropolitan area.
- Up to 50% travel, including on-site work at government facilities.
- Work with federal customers in mission-driven, high-ambiguity environments.
- Opportunity to help build Deepgram’s federal engineering practice and influence product and go-to-market strategy.
Tech Stack
Categories
Forward Deployed
About Deepgram
Deepgram builds Voice AI infrastructure for developers, offering speech-to-text, text-to-speech, and voice agent tooling through real-time APIs and deployable on-prem software. Privately held and founded in 2015, the company is headquartered in San Francisco. Customers such as Twilio, Cloudflare, and Jack in the Box use its models to power production voice features; products include Nova-3 STT, Aura TTS, and a Voice Agent API.