Job description
Overview:
As a Support Engineer at Neptune, you’ll be at the heart of the company. Your job is to ensure our customers maximize value from Neptune and enjoy their experience.
You’ll achieve this by solving customer problems, educating users on Neptune’s capabilities, and communicating customer needs to improve our product.
You’ll serve as an escalation resource in your areas of expertise, represent the team on complex issues, and answer a variety of technical questions.
Your knowledge of Python programming, Data Science, Machine Learning, MLOps, and model training approaches will help you guide customers and understand their requirements.
We’re looking for someone to support our key customers based in Americas time zones.
What you’ll do:
- Solve customer problems using our online ticketing and chat applications
- Create, update, and communicate bug reports and feature requests
- Develop technical content for example projects, documentation, and knowledge base
- Support customer onboarding and training
- Collaborate with engineering, product, customer success, and technical writing teams
What you’ll bring:
- Python programming and ecosystem experience, ideally in Data Science and Machine Learning applications
- Knowledge and practical application of Data Science and Machine Learning techniques
- Experience working with ML tools such as PyTorch and JAX
- Ability to communicate complex technical topics to customers and coworkers
- Excellent organizational and remote working skills, with the ability to efficiently coordinate and prioritize multiple tasks to completion
Bonus points for:
- Experience in managing customer-facing cases throughout the entire support lifecycle—from initial inquiry to triage, reproduction, bug reporting, and resolution
- Experience with experiment trackers such as MLflow, Weights & Biases or Neptune.
- Open source contributions to projects in the Python ecosystem (ideally Data Science/ML related)
- Cloud infrastructure skills and experience with Kubernetes on AWS, GCP or Azure and monitoring tools such as Grafana
- Previous experience working remotely with customer support and communication tools such as Intercom, Slack, Google Meet / Zoom, Linear, Notion, GitHub and GitLab
