AI-Powered Customer Support Engineer

Rillet; San Francisco (CA); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive pay

Equity opportunities

Health insurance

Hybrid work

Job summary

Rillet in San Francisco is hiring a Customer Support Engineer to blend frontline support with the build-out of AI-assisted workflows and integrations. You’ll resolve issues, triage bugs, and automate repetitive tasks to keep pace with rapid growth.

You’ll work with Pylon and Linear, contribute to knowledge bases, and partner with Product and Engineering to turn customer questions into product improvements. A strong mix of technical skill and customer empathy is essential.

Qualifications

• 6 months to 3 years in a customer-facing or technical support role.
• Experience building tools or automations is a plus.
• Experience with product support or CS tooling helps.

Responsibilities

• Resolve inbound support tickets across question types via omni-channel support.
• Triage and escalate issues with context for seamless handoffs.
• Build AI-assisted workflows to automate manual support processes.
• Develop internal tools and integrations that scale support with the data warehouse.
• Contribute to and improve the internal knowledge base and resolutions.
• Tag and categorize tickets and instrument systems for data quality.
• Take infrastructure projects from 0→1 and prototype quickly.
• Partner with leadership, Product, and Engineering to surface patterns for product improvements.

Skills

Customer-focused

Technical support

Scripting & integrations

APIs & data pipelines

Written communication

Fast learner

Triage & routing

Documentation instinct

Ownership & autonomy

Tools

Pylon

Linear

Job description

Rillet in San Francisco is hiring a Customer Support Engineer to blend frontline support with the build-out of AI-assisted workflows and integrations. You’ll resolve issues, triage bugs, and automate repetitive tasks to keep pace with rapid growth.

You’ll work with Pylon and Linear, contribute to knowledge bases, and partner with Product and Engineering to turn customer questions into product improvements. A strong mix of technical skill and customer empathy is essential.