How to Get Hired at deepgram

Deepgram builds speech AI infrastructure, powering automatic speech recognition and voice AI for developers and enterprises. Their APIs let companies add real-time transcription, voice analytics, and text-to-speech to their products. As of mid-2026, Deepgram has 68 open roles across engineering, sales, marketing, and operations, signalling active growth.

For Indian professionals, many Deepgram roles are remote-friendly, which means strong candidates can apply regardless of city. The company competes in the fast-growing voice AI space, so they look for people who genuinely care about developer tooling and the future of human-machine interaction.

Deepgram's hiring process typically runs four to five stages. Timelines and exact formats vary by role, but the general flow looks like this.

Stage 1: Recruiter screen. A brief call with a recruiter to cover your background, interest in Deepgram, and logistics like location and availability. Be ready to explain why voice AI excites you and what draws you to this company specifically.

Stage 2: Hiring manager conversation. A deeper discussion with the person you would report to. They assess your experience, how you think about problems, and whether your goals align with the team's direction. For technical roles, expect some high-level system or domain questions.

Stage 3: Technical or skills assessment. For engineering roles this is usually a take-home or live coding exercise focused on APIs, machine learning, or backend systems. For go-to-market roles, you may be asked to prepare a mock pitch or a written plan. Difficulty and format depend on seniority.

Stage 4: Panel interviews. You meet several team members, either in a single block or spread across a few days. Each interviewer focuses on a specific area: technical depth, cross-functional collaboration, product thinking, or culture fit. Expect a mix of behavioural and situational questions.

Stage 5: Reference checks and offer. Deepgram typically checks a few professional references before extending an offer. Have your references ready early so you do not slow down this final step.

Deepgram is a developer-first company, so they value people who understand how developers think and what they need. Across roles, a few themes come up consistently.

Technical depth. For engineering positions, they want strong knowledge of APIs, audio processing, machine learning, or distributed systems. Familiarity with ASR, NLP, or LLMs is a real advantage.

Builder mindset. Deepgram moves quickly. They favour candidates who have shipped products, solved ambiguous problems, and can work without hand-holding.

Communication clarity. Because much of their team is remote and cross-functional, the ability to write and speak clearly matters at every level.

Customer empathy. Whether you are in engineering or sales, Deepgram wants people who can put themselves in a developer's shoes and understand the pain of unreliable speech-to-text.

Curiosity about AI. The voice AI space is changing fast. They look for candidates who follow the field, form opinions, and bring genuine enthusiasm to the problem.

Understand what Deepgram actually does. Go through their developer documentation before any interview. Know the difference between their batch and streaming APIs. Try a sample API call if you can. Interviewers notice candidates who have actually used the product.

Brush up on speech AI basics. You do not need a PhD, but understanding terms like word error rate, diarisation, and acoustic models will help you talk credibly about the domain. For ML roles, review transformer architectures and sequence-to-sequence models.

Prepare strong STAR stories. Deepgram uses structured behavioural questions. Prepare examples around: shipping fast under pressure, handling technical disagreement, working cross-functionally, and recovering from a failure.

Research their competition. Deepgram competes with large cloud providers and other AI-native startups in the speech space. Having a clear view of where Deepgram wins and why shows you have done your homework.

Have questions ready. At each stage, save time for thoughtful questions about the team's roadmap, how decisions get made, and what success looks like in the first few months. This signals genuine interest, not just job-hunting.

With Deepgram currently listing 68 open roles, there are multiple entry points. Knok checks 150+ job sites nightly, applies to matching roles on your behalf, and messages HR directly so your application does not get lost.

Deepgram operates as a remote-first company with a strong emphasis on ownership and autonomy. A few things stand out about their working culture.

Remote by design. The team is distributed across time zones, so async communication is the default. Written updates, documented decisions, and clear handoffs matter more than in a traditional office setup.

Speed over perfection. Deepgram has grown in a competitive, fast-moving market. They prefer iteration over lengthy planning cycles, which means you are expected to make calls and move forward even with incomplete information.

Developer obsession. Because their customers are developers, the team holds itself to high standards around API design, documentation quality, and the overall developer experience. This mindset extends beyond engineering into product and marketing.

Transparency. Publicly reported employee reviews suggest Deepgram leadership shares context about company direction and strategy more openly than many startups at a similar stage. Expect direct feedback and honest conversations.

High ownership. Roles at Deepgram tend to be broad, especially at the individual contributor level. People are expected to own outcomes, not just tasks.