Deepgram jobs, judged for you, free
Voice AI platform with speech-to-text, text-to-speech, and voice agent APIs.
- AI
- San Francisco, United States
- 51–200 people
- Private
Newest at Deepgram.
- Senior Manager, Events & Field MarketingUSA - Remote · Remote · Full-time
- Director, Demand GenerationUSA - Remote · Remote · Full-time
- Marketing & GTM Data AnalystUSA - Remote · Remote · Full-time
- Senior Integrated Campaign ManagerUSA - Remote · Remote · Full-time
- Staff Sales Engineer, Voice AIUSA - Remote · Remote · Full-time
- Director, GTM EngineeringUSA - Remote · Remote · Full-time
- Revenue Operations Analyst (London)London, UK · Remote · Full-time
- Revenue Operations AnalystUSA - Remote · Remote · Full-time
- Account Executive (German Speaking)Switzerland · Full-time
- Sales Development Representative (India)India · Remote · Full-time
- Account Executive (India)India · Remote · Full-time
- Research Engineer, Post-TrainingUSA - Remote; San Francisco, CA; New York City, NY · Remote · Full-time
- Research Staff, Applied Voice AIUSA - Remote; San Francisco, CA; New York City, NY · Remote · Full-time
- Senior Manager, Internal CommunicationsUSA - Remote · Remote · Full-time
- Research Staff, Voice AI Foundations [Remote]Australia- Melbourne · Remote · Full-time
- Research Staff, Voice AI Foundations [UK - Remote]London, UK · Remote · Full-time
- Research Staff, Voice AI Foundations - RemoteThe Netherlands · Remote · Full-time
- Field & Event Marketing Manager, EMEALondon, UK · Remote · Full-time
- Field & Event Marketing Manager, APAC (Singapore)Singapore · Remote · Full-time
- Staff Product Manager, AI ApplicationsUSA - Remote · Remote · Full-time
And 62 more open at Deepgram.
See them all, freeThe company, in brief.
What they do
Deepgram makes a voice AI platform. Its APIs, ways for other software to call it, turn speech into text and text into speech in real time, and run voice agents. Its models run in its cloud or on a customer's own servers. Over 200,000 developers and 1,300 organizations build on it, including Twilio and Cloudflare.
What they value
- Collaborative: be generous and help each other.
- Be curious, and challenge the status quo.
- Grow together, and bring out the best in each other.
- Do the right thing: be kind and assume the best intentions.
- Think smart, act fast: value analysis, but not to the point of paralysis.
- Put the customer first: listen to customers to learn their goals.
Where they hire
Deepgram is remote-first, and 86 of the 91 Postings are remote. Most are remote in the USA. Others are in San Francisco, New York, Washington D.C., Ann Arbor, London, Singapore, Sydney, and remote in Europe or Asia Pacific. Some US roles need Eastern or Pacific time. Two Singapore roles do not sponsor an Employment Pass.
Teams and roles
Engineering has the most Postings, 36 of 91. Sales has 16.
- Engineering: backend engineers in Rust for the inference engine (the system that runs the models) and the Voice Agent product, machine learning infrastructure and platform engineers, console and web engineers, and on-device AI engineers.
- Applied engineering: pre-sales solutions engineers, solutions architects, and forward-deployed engineers who work directly with one customer's teams, some for US federal customers.
- Research: research staff for voice AI foundations, large language models, and data science, and directors for text-to-speech research.
- Sales: sales development representatives (SDRs), who find new customers, and account executives in the US, Europe, the Middle East and Africa, and Asia Pacific, plus partner and federal sales.
- Customer success: customer success engineers, partner success, and renewals.
- Also product management and design, marketing, finance, people, and legal.
What they look for
Every Posting asks for an AI-first way of working. Staff must use AI tools, and even build their own, in daily work, and Deepgram measures how well they apply AI. Postings warn the pace is fast and not a traditional 9-to-5. Backend roles ask for 3 or more years in industry, Rust, C, or C++, Python, and UNIX-style systems. Applied AI roles ask for 4 or more years of backend work in production. Customer-facing roles ask for fluency with APIs and real technical conversations. Pre-sales roles include up to 50 percent travel.
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