echoloc
Company profile

Deepgram Tech Stack

Real-time speech-to-text, text-to-speech and voice agent APIs

Software Development San Francisco, California 51–200 employees Founded 2015 Privately Held

Deepgram sells voice AI APIs and foundation models for transcription, speech synthesis and conversational agents. Its stack pairs Slurm, NVIDIA GPUs and on-prem HPE/Dell hardware with Kubernetes on AWS, which points to in-house model training rather than reliance on third-party models. Integrations with Twilio, LiveKit, Pipecat and Vapi, plus newly adopted Databricks and Snowflake, show a push into real-time voice agent ecosystems and a more mature data layer.

Tech Stack 44 technologies

Core StackKubernetes AWS Terraform Twilio Cloudflare Salesforce Slack SwiftUI Swift dbt Python JavaScript Go Slurm HPE Dell NVIDIA Groq Linear Notion Swift Package Manager Socket.IO WebSockets Pipecat LiveKit Vapi NVIDIA GPU Athena Qualcomm Elm+6 more
AdoptingDatabricks Snowflake Genesys
ReplacingXero

What Deepgram Is BuildingChallenges and projects from their job posts

◆Challenges

  • Scarce diverse audio training data
  • High compute costs for model training and deployment
  • High-accuracy menu-aware drive-thru ordering
  • Scaling infrastructure for rapid growth
  • Preparing for external audit
  • Complex technical evaluations in sales cycles

▲Active Projects

  • Full-stack integrations for federal accounts
  • POCs and prototypes for strategic Deepgram integrations
  • Real-time analytics and operational intelligence
  • ERP migration
  • Scalable support infrastructure
  • New-logo sales pipeline with marketing and SDRs

Hiring Activity

Decelerating85 roles · 10 in 30d

Department

Engineering
30
Sales
16
Product
5
Research
5
Support
5
Data
4
Finance
4
Marketing
4

Seniority

Senior
39
Mid
23
Manager
5
Staff
5
Director
4
Junior
3
Lead
3

Notable leadership hires: Director of Accounting, Communications Head

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About Deepgram

Deepgram, founded in 2015 and headquartered in San Francisco, builds speech recognition, text-to-speech and voice agent technology delivered through a real-time API platform. Its customers are developers and organizations building voice products, including enterprise and federal accounts. Through its OfOne acquisition it also serves restaurant and drive-thru ordering. The company has 51–200 employees and hires across the United States, United Kingdom, France, Singapore, Australia, Indonesia and Uganda. Hiring centers on engineering and sales, with smaller product, research, support and data teams.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2015
Hiring MarketsUnited States, Indonesia, Uganda, United Kingdom, France, Singapore, Australia

Frequently Asked Questions

What tech stack does Deepgram use?

Deepgram runs Kubernetes, Terraform and AWS alongside Slurm and NVIDIA GPUs for model workloads. It builds in Python, Go and Swift, uses WebSockets and Socket.IO for streaming, and is adopting Databricks and Snowflake.

Is Deepgram hiring engineers?

Yes. Engineering is Deepgram's largest hiring area, followed by sales, with roles skewed toward senior talent. Overall hiring velocity is currently slowing.

What is Deepgram working on?

Current work includes full-stack integrations for federal accounts, proof-of-concept execution for strategic deals, real-time analytics and operational intelligence, an ERP migration, and scalable support infrastructure.

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How this profile is built

Deepgram's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.