Snowflake AI Support Engineer

Next Ventures; San Francisco (CA); On-site; USD 70,000 - 100,000; Full time

Job summary

Next Ventures, a Series C company located in San Francisco, is seeking a technical support specialist to assist customers with AI-powered tools. The role involves addressing and resolving software issues while collaborating with engineering teams.

The ideal candidate will have a Bachelor's degree in Computer Science or Software Engineering and 2+ years in a technical role. Skills in Docker, Kubernetes, and programming languages like Python or Java are essential.

Qualifications

• 2+ years working in a technical role.
• Strong organizational and problem-solving skills.
• High adaptability in a fast-paced startup environment.

Responsibilities

• Respond to customer issues and software deployment problems.
• Define processes to enhance support functions.
• Document and distribute learnings on failure modes.

Skills

Technical role experience

Customer friendliness

Problem-solving skills

Organizational skills

Knowledge of AI

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Docker

Kubernetes

Python

Java

Go

Job description

A Series C company who create AI-powered tools to development teams at thousands of enterprises, from startups to Fortune 500 companies. Due to the complexity of enterprise tasks and environments, combined with the rapid evolution of the product itself, customer issues may arise that would reduce adoption and value if not addressed rapidly.

Responsibilities

• Serve as the first line of response to any customer issues, including misuse of the software, deployment errors, or bugs in the underlying software.
• Root cause, reproduce, and respond to any type of issue using AI and computer science knowledge.
• Define processes and build automations to streamline the support function.
• Escalate unresolved issues to the appropriate stakeholders (deployed engineering, field IT, or enterprise engineering), track resolution, and educate customers on the solution.
• Document learnings about failure modes across use and deployment and distribute that knowledge to end customers and internal engineering teams.
• Test each release across a range of IDEs, programming languages, and modalities, and use CS and AI skills to automate parts of the QA process.

Qualifications

• 2+ years working in a technical role.
• Bachelor's or higher degree in Computer Science, Software Engineering, or a related field.
• Knowledge of distributed computing, containerization, and orchestration technologies such as Docker and Kubernetes.
• Proficiency in programming languages such as Python, Java, or Go.
• Strong organizational skills and customer friendliness.
• Strong problem‑solving skills and the ability to work in a fast‑paced, dynamic startup environment.
• Passion for artificial intelligence and large language models.
• Hands‑on experience with AI and related technologies is a plus but not required.