6 months ago
Base Salary
$160k - $200k/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’s Voice AI models.
- Lead technical discovery, solution design, demos, proof-of-concepts, and proposal support with Account Executives.
- Build full-stack integrations using Python, JavaScript, Rust, or comparable technologies.
- Enable deployments across customer environments with observable systems spanning infrastructure through applications.
- Advise 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 production code when needed.
- Create reusable tools, playbooks, reference architectures, automation, documentation, and building blocks.
- Share field feedback with Product and Engineering to influence model and product development.
- Serve as an escalation point for complex technical issues in federal deployments.
- Analyze deployment patterns to identify product opportunities and inform federal go-to-market strategy.
Requirements
- Active Top Secret/SCI security 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 a 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 for technical, non-technical, and senior government stakeholders.
- Experience navigating complex federal sales or procurement cycles.
- Willingness to travel up to 50%, including on-site work at government facilities.
- Preferred: experience with speech recognition, NLP, AI or voice agents, or related AI technologies.
- Preferred: familiarity with AWS GovCloud, Azure Government, Kubernetes, Terraform, and related infrastructure.
- Preferred: experience with systems powered by LLMs or generative models.
- 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 in government contexts.
Benefits
- Remote role based in the Washington, D.C. metropolitan area, with travel up to 50% and on-site work at government facilities.
- Medical, dental, and vision benefits; wellness stipend; mental health support; and life, short-term disability, and long-term disability insurance.
- Unlimited paid time off, paid parental leave, flexible scheduling, and 12 paid U.S. company holidays.
- Quarterly personal productivity stipend, one-time home-office upgrade stipend, 401(k) with company match, and tax savings programs.
- Learning and education stipend, conference participation, employee resource groups, and AI enablement workshops.
- Benefits for international employees are administered locally through an Employer of Record and vary by region.
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.