San Francisco, California, United States of America
Company Overviews
Deepgram is the real-time API platform powering the trillion-dollar Voice AI economy.
Backed by a $130M Series C at a $1.3B valuation, Deepgram is trusted by 200,000+ developers and 1,300+ organizations to build Voice AI products, platforms, and autonomous agents with the lowest latency, highest accuracy, and enterprise reliability.
Our voice-native foundation models and runtime infrastructure have processed 50,000+ years of audio and over 1 trillion words, making Deepgram the most experienced voice AI platform in the world.
Industry-leading models & platform: 👂 Nova-3 — the world’s most accurate real-time speech-to-text model 🔊 Aura-2 — professional, enterprise-grade text-to-speech 💬 Flux — the first Conversational Speech Recognition model designed to handle interruptions 🚀 Voice Agent API — enterprise-ready, real-time conversational AI 🧠 Saga — the Voice OS
Beyond core infrastructure, Deepgram is expanding the Voice AI ecosystem through: 💪 Powered by Deepgram, supporting voice products built by leading AI startups and enterprise organizations 🌉 A new Voice AI Collaboration Hub in San Francisco for builders, partners, and the voice community 🍔 The acquisition of OfOne, delivering real-time Voice AI for restaurants and drive-thru operations with 95%+ containment 📃 A growing patent portfolio in Voice AI
Much like APIs powered the payments and cloud economies, Deepgram is building the foundation for a trillion-dollar B2B Voice AI economy—centered on the most natural human interface: voice.
Rating Reviews
Rating is calculated based on
11
reviews and is evolving.
Pros: The best part about Deepgram is definitely the cutting-edge work in speech recognition and AI. It's a really stimulating environment for engineers who love tackling complex problems. The remote-first setup and the emphasis on work flexibility are huge wins. I feel trusted to manage my own schedule, which is fantastic. The team is made up of bright, driven individuals who are great to collaborate with.
Cons: As Deepgram grows rapidly, sometimes communication can get a bit scattered, and priorities can shift quickly. This can lead to a bit of churn on projects. While pay is competitive for the AI industry, the benefits package could be more robust compared to some larger tech companies. There's also a feeling that processes could be more formalized to handle the increased scale.
Advice to Management: Continue fostering the innovative spirit and remote-friendly culture. Consider refining internal communication channels and project management processes to better support sustained, rapid growth in the AI sector.
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Pros: The core technology is impressive, and working on cutting-edge AI for speech recognition is genuinely engaging. The team is smart and collaborative, making it a great place to learn and grow. The fully remote nature of the job is a major plus, offering excellent flexibility. It's a fast-paced tech startup environment with real innovation happening.
Cons: While job security is generally decent for experienced roles, like many tech startups, the economic climate can introduce some uncertainty. Sometimes, communication can be a bit scattered across different Slack channels, which can make tracking decisions challenging. Prioritization can also shift quickly, which is typical for a fast-growing company.
Advice to Management: Continue fostering the collaborative remote culture and focus on clear, centralized communication channels to streamline decision-making and project alignment.
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Pros: The core technology Deepgram is developing is truly impressive, pushing the boundaries in AI speech-to-text. It's exciting to work on challenging problems that have a real impact. The team here in Sydney is smart, dedicated, and there's a good sense of camaraderie, making for a positive day-to-day experience in this fast-paced tech environment.
Cons: As the company grows rapidly, operational processes sometimes lag behind. This can lead to occasional inefficiencies in communication or project management, particularly across distributed teams. Some engineering roles might feel overloaded during crunch periods. Managing stakeholder expectations can be tricky.
Advice to Management: Consider investing more in cross-functional process refinement to support engineering velocity. Clearer communication channels and proactive resource planning will help manage growth effectively.
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What's it like working as an AI engineer at Deepgram?
As an AI engineer at Deepgram, I work with cutting-edge speech-to-text AI, contributing to a rapidly growing AI startup in San Francisco. The team is small but impactful, focusing on building scalable AI solutions.
What's it like working in AI transcription at a growing company like Deepgram?
It's exciting to develop and refine AI transcription models here; the fast-paced environment at this medium-sized tech company allows for real impact in the AI industry.
What's the interview process like at Deepgram for a Speech AI Engineer role?
My interview process at Deepgram for a Speech AI Engineer role involved a recruiter screen, a technical interview focusing on NLP and ML, and then a final round with the hiring manager. It was thorough but very focused on relevant skills for the AI industry.
Does Deepgram offer remote positions for software engineers?
Yes, Deepgram, a mid-sized AI company, frequently hires for remote software engineering roles, allowing flexibility for tech professionals across various locations.
What's the typical salary range for a Senior Software Engineer at a mid-sized AI company like Deepgram in San Francisco?
Based on my experience as a Senior Software Engineer at Deepgram, a growing AI startup in the Bay Area, salaries typically range from $170k to $220k, depending on experience and stock options.
What's the management style like at Deepgram, especially for AI engineers working remotely?
Deepgram's management is generally supportive and trusts engineers to manage their own time, which is great for a remote AI engineering role. Expect regular check-ins and a focus on clear deliverables rather than micromanagement, fostering a productive remote working culture.
What is the typical work-life balance like for engineers at Deepgram, especially in the AI and machine learning space?
Deepgram generally fosters a good work-life balance, acknowledging the demanding nature of AI development. Teams often have flexibility in their schedules, focusing on project delivery rather than strict hours, which helps manage demanding timelines.
What is Deepgram's policy on remote work for engineers in the AI industry?
Deepgram offers a hybrid work model, allowing flexibility for roles like AI engineers. Most teams operate with a mix of in-office and remote days, with specific arrangements often discussed during the hiring process.
GR
