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Deepgram is looking to hire an Applied Engineer to build AI automation tooling to support our customers and prospects. You will work closely with the engineering and research teams to identify pivotal AI technologies, integrations, and workflows to streamline the support experience. Additionally, you’ll work with the sales and success teams to understand fundamental customer issues that you can automate solutions for. By interacting with prospective and signed customers and support tickets directly, you’ll be able to create new training data and vet your automation tooling. You will work closely with engineers, customers, and go-to-market teams to triage immediate issues, problem-solve subtle and evasive bugs, and make product improvements to enhance the customer experience. You will be energized to engineer novel AI automation solutions to solve customer hurdles, advise on integration best practices and caveats, leverage technology to drive business value, and e into a highly technical codebase.
What You’ll Do
-Take state-of-the-art AI, including large language models (LLMs), and integrate them into the support process.
-Vet your automation pipeline by interacting directly with customers and closing support tickets.
-Provide a white-glove, high-touch experience to high-value clients by applying AI automation to guide their onboarding experience.
-Serve as the lead technical product contact for prospects throughout the sales process
-Use your engineering background to develop efficient improvements to our existing products as well as develop new integrations between Deepgram and other platforms
-Create working examples with our API for customer reference and provide ongoing feedback to product, engineering, and research regarding customer’s experiences using Deepgram products
-Continuously evolve best practices to align with technical product adoption and customer success criteria via our Help Center documentation
You’ll Love This Role If You
-Enjoy problem-solving and building side projects with APIs, especially using LLMs and other AI technologies
-Consider yourself a generalist and enjoy learning new technologies - you can build end-to-end systems to automate real support systemsBelieve in the world transforming power of AI and want to deploy large language models (LLMs) in novel ways.
-Have a think smart, act first mindset (one of our core values)
-Believe that we live in a post-sales and post-support world that is dying to see AI automation provide superhuman support.
It’s Important To Us That You Have
-Technical background and an aptitude to learn about new technology quickly
-Programming experience with scripting languages (Python, Javascript, etc), the ability to read and write code in multiple languages
-Experience delivering software demonstrations to audiences ranging from the C-suite, developers, and less-technical end-users
-5+ years related experience in building and supporting software products to IT organizations in a customer-facing role
It Would Be Great if You Had
-The desire to redefine the benchmark for excellence, be part of something big and learn as much as you can in the process
-Experience with systems languages Rust, C/C++, Java, etc.
-Experience running Docker containers and using orchestration tools such as Kubernetes, Docker Swarm, or Nomad
-A basic understanding of the processes involved in modern machine learning frameworks, e.g. PyTorch, ONNX, TensorRT, HuggingFace models.
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