About this role
Role Overview
The Senior Solutions Engineer, Federal role at Deepgram is an exciting opportunity to embed directly with strategic federal accounts and lead complex deployments of a cutting-edge Voice AI platform in mission-critical environments. This position is based remotely out of the Washington D.C. metropolitan area and suits an autonomous engineer who thrives in high-ambiguity settings and enjoys working closely with government stakeholders.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Deepgram provides real-time APIs for speech-to-text, text-to-speech, and building production-grade voice agents at scale, underpinning the trillion-dollar Voice AI economy. Over 200,000 developers and 1,300 organizations build voice offerings powered by Deepgram. The company operates with an AI-first mindset, requiring team members to actively experiment with and integrate advanced AI tools into their daily workflows.
How to Apply
To apply for this position, please visit the official Deepgram careers page and submit your application through their verified hiring portal.
Skills and tech stack
Questions candidates ask
Where is this position located?
This role is based remotely out of the Washington D.C. metropolitan area and requires up to 50% travel, including on-site work at government facilities.
What clearance level is required for this job?
Candidates must have an active Top Secret clearance or equivalent.
What is the salary range for the Senior Solutions Engineer, Federal role?
The annual salary ranges from $180,000 to $245,000 USD per year.
What experience is required to apply?
Candidates need 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments, along with a strong background in a modern programming language.
What does time allocation look like in this role?
Time allocation is divided into 40% embedded customer delivery, 25% pre-sales technical engagement, 20% building reusable solutions and reference architectures, and 15% internal collaboration and product feedback.
