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 Voice AI applications.
- Lead technical discovery, solution design, demonstrations, proof-of-concepts, and proposal support.
- Build full-stack integrations using Python, JavaScript, Rust, or comparable technologies.
- Enable deployments across customer environments with observable systems spanning infrastructure and applications.
- Guide federal stakeholders on operational value, performance optimization, and deployment strategies.
- Scope work, sequence delivery, remove blockers, and balance scope, speed, and quality.
- Manage relationships with customer leadership and technical stakeholders.
- Contribute directly to code when needed to maintain clarity or delivery momentum.
- Create reusable tools, playbooks, reference architectures, automation, and technical documentation.
- Share field feedback with Product and Engineering and identify product improvement opportunities.
- Serve as an escalation point for complex technical issues in federal deployments.
- Support complex government sales and procurement cycles 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 environments.
- Experience building and deploying production systems in government or similarly constrained environments.
- Ability to translate technical concepts for technical and non-technical stakeholders, including senior government leadership.
- Track record navigating complex federal sales or procurement cycles.
- Excellent verbal and written communication skills.
- Willingness to travel up to 50%, including onsite 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 with LLM- or generative-model-powered systems and understanding of model behavior’s effect on product experience.
- Preferred: knowledge of FedRAMP, FISMA, or other government compliance frameworks.
- Preferred: experience with API-first products, developer tools, automation, self-service tools, and technical documentation.
- Preferred: familiarity with MEDDIC or Solution Selling, particularly in government contexts.
Benefits
- Remote work based in the Washington, D.C. metropolitan area.
- Up to 50% travel, including onsite work at government facilities.
- Work focused on federal mission environments and customer deployments.
- Opportunity to work with Deepgram Voice AI APIs and production-grade voice agent technology.
Tech Stack
Categories
Forward DeployedSolutions Engineering
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.