Solutions Engineer

Posted 2 Days Ago
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Remote
130K-185K Annually
Entry level
Artificial Intelligence • Natural Language Processing • Software
Unlocking the power of voice data to fuel the world’s big ideas.
The Role
As a Solutions Engineer at Deepgram, you will support customers by delivering deep learning solutions and automating support processes. Your role involves problem-solving technical challenges, collaborating on prototypes, and enhancing customer experiences with innovative AI solutions.
Summary Generated by Built In

Company Overview

Deepgram is a foundational AI company on a mission to transform human-machine interaction using natural language. We give any developer access to the fastest, most powerful voice AI platform including access to models for speech-to-text, text-to-speech, and spoken language understanding with just an API call. From transcription to sentiment analysis to voice synthesis, Deepgram is the preferred partner for builders of voice AI applications.

Opportunity

Deepgram is looking to hire a Solutions Engineer to support our customers, prospects, and community by delivering world-class deep learning solutions and using state-of-the-art A.I. techniques to automate support, where applicable. You will work closely with Deepgram’s go-to-market team, researchers, and other engineers to identify technologies, integrations, and workflows to streamline the support experience. Your work will help identify and solve fundamental customer issues by building automated solutions. By interacting with prospective and signed customers and customer tickets directly, you’ll be able to create new training data and vet our automation tooling. You will triage immediate issues, problem-solve subtle and evasive bugs, and make product improvements to our production codebase to enhance the customer experience. You will be energized to engineer and build novel solutions to solve customer hurdles, advise on integration best practices and caveats, leverage technology to drive business value, and dive into a highly technical codebase, all with a customer first approach.

What You’ll Do

  • Bring a highly technical and analytical view to solving customer challenges

  • Work with customers, prospects, and community members directly to understand their market and product needs

  • Employ your natural curiosity in building solutions for our clients

  • Use your strong development background to serve as the technical lead throughout the customer lifecycle 

  • Rapidly build working prototypes for customers while working across engineering, sales and marketing teams

  • Deploy best practices and educate customers to increase adoption with a highly technical product

You’ll Love This Role If You

  • Understand AI is here and are eager to use it for good

  • Thrive in providing technical leadership in a client focused environment

  • Are curious and eager to engineer custom end-to-end solutions that lead to future automation

  • Have a think smart, act first mindset (one of our core values)

  • Are excited to work with cutting-edge hardware and high-performance software stacks.

It’s Important To Us That You Have

  • Strong engineering background with proven proficiency in programming languages such as Python, Rust, and TypeScript/JavaScript

  • Ability to learn, digest and deploy technical solutions in a range of technical stacks

  • Experience delivering software demonstrations to audiences ranging from the C-suite, developers, and less-technical end-users

  • Experience partnering with sales to win and expand business by providing technical solutions

  • Proven experience solving problems with a critical focus

  • Proven experience building and supporting software products

It Would Be Great if You Had 

  • An understanding of the processes involved in modern machine learning frameworks, e.g. PyTorch, ONNX, TensorRT, HuggingFace models

Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding after closing our Series B funding round last year. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!

Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

We are happy to provide accommodations for applicants who need them.

Compensation Range: $130K - $185K

Top Skills

JavaScript
Python
Rust
Typescript

What the Team is Saying

Jeff "Susan" Ward
Randy Barlow
Ingrid Elise Dorai-Rekaa
Mara Lubell
Primitivo Gonzalez
The Company
109 Employees
Hybrid Workplace
Year Founded: 2015

What We Do

Legacy speech recognition tech is slow, inaccurate, and expensive. It’s time to stop settling for out-of-the-box solutions that don’t meet enterprise needs. Deepgram is the only true end-to-end Deep Learning ASR offering real-time transcription, built to scale. Use it alone or on top of your existing tech and see results in weeks, not months or longer. When speech recognition that’s “good enough for everyone” isn’t good enough for you, try Deepgram.

Deepgram is an NVIDIA partner and a Y Combinator company.

Why Work With Us

Our culture, like our product, is constantly learning and evolving, but the heart of our team is enduring. We are a self-motivated, positive, passionate, and competitive group of people. We have the best technology on the market and are determined to help customers leverage it.

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Deepgram Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We currently have a hybrid business model with a nationally distributed workforce and one physical office in Ann Arbor, MI.

Typical time on-site: Not Specified
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