7 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Own technical delivery for federal deployments from first prototype through stable production.
- Embed with federal customers to design and build mission-critical applications powered by Deepgram Voice AI models.
- Lead technical discovery, solution design, demonstrations, proof-of-concepts, proposal support, and complex federal pre-sales engagements.
- Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable technologies.
- Deliver observable systems spanning infrastructure through applications across customer environments.
- Guide federal stakeholders on operational value, performance optimization, and deployment strategies.
- Scope and sequence work, remove blockers, and balance scope, speed, and quality.
- Build relationships with customer leadership and technical stakeholders to support successful deployment and scale.
- Contribute directly to code when needed to maintain clarity or momentum.
- Create reusable tools, playbooks, reference architectures, automation, documentation, and building blocks.
- Share field feedback with Product and Engineering to influence model and product development.
- Escalate and resolve complex technical issues and analyze deployment patterns to identify product and federal go-to-market opportunities.
Requirements
- Active Top Secret/SCI (TS/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 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.
- Excellent verbal and written communication skills with technical, non-technical, and senior government stakeholders.
- Track record navigating complex federal sales or procurement cycles.
- Willingness to travel up to 50%, including on-site work at government facilities.
- Preferred experience includes speech recognition, NLP, AI or voice agents, cloud deployment models, Kubernetes, Terraform, LLMs or generative models, FedRAMP, FISMA, API-first products, developer tools, MEDDIC, Solution Selling, automation, self-service tools, and technical documentation.
Benefits
- Medical, dental, and vision benefits; wellness stipend; mental health support; life, short-term disability, and long-term disability insurance.
- Unlimited paid time off, paid parental leave, flexible schedule, 12 paid U.S. company holidays, and a 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.
- Remote role based in the Washington, D.C. metropolitan area, with travel up to 50% and on-site work at government facilities.
- Benefits for international employees are administered locally through an Employer of Record model and may vary by region.
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.