Customer Support Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Resolve inbound customer support tickets while triaging bugs and data requests, then scale your impact by building AI-assisted workflows and internal tools. You’ll automate ticket categorization, routing, response drafting, knowledge retrieval, and enrichment, and connect support tooling (e.g., Pylon, Linear) to the product and data warehouse. Document resolutions to continuously improve the knowledge base and partner with Product and Engineering to translate support patterns into lasting improvements.

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Customer Support (Service Desk)

Seniority: Entry level

Key Responsibilities

•Resolve inbound support tickets across general questions, bug triage, and data requests via omni-channel, async communication.
•Triage and escalate issues to Customer Success or Engineering with enough context, and identify gaps in playbooks and escalation protocols.
•Build AI-assisted workflows to automate manual support processes such as categorization, response drafting, routing, and enrichment.
•Develop internal tools and integrations to scale support execution by connecting support tooling, the product, and the data warehouse.
•Continuously improve the internal knowledge base by documenting resolutions and translating repeated questions into structured content and better routing/AI agent optimization.

Pay and Benefits

Perks:Health InsuranceDentalEquityPaid Leave

Key Requirements

•6 months to 3 years in a customer-facing or technical support role, ideally with exposure to building tools or automations.
•Customer-first orientation with a focus on the customer experience in every response.
•Technically capable and systems-oriented—comfortable scripting, building integrations, and working with APIs, data pipelines, or AI/LLM-powered workflows.
•Strong written communication in async channels, crisp and professional.
•Strong triage instincts and the ability to turn repeated questions into scalable knowledge base content and automation.

Skills:Customer-first orientationWritten communicationTriagePattern recognitionDocumentation

Tech Stack:StripeRampSalesforceAPIsData pipelinesAILLMPylonLinearData warehouse

Company Brief

Rillet

Rillet operates an online business delivering digital products and services through its website, focusing on web-based tools and solutions for businesses and individuals. The company appears to be a small, privately run digital services provider.

Industry: SaaS

Website

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Rillet

1 day ago

Customer Support Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Customer Support (Service Desk)

Seniority: Entry level

Key Responsibilities

•Resolve inbound support tickets across general questions, bug triage, and data requests via omni-channel, async communication.
•Triage and escalate issues to Customer Success or Engineering with enough context, and identify gaps in playbooks and escalation protocols.
•Build AI-assisted workflows to automate manual support processes such as categorization, response drafting, routing, and enrichment.
•Develop internal tools and integrations to scale support execution by connecting support tooling, the product, and the data warehouse.
•Continuously improve the internal knowledge base by documenting resolutions and translating repeated questions into structured content and better routing/AI agent optimization.

Pay and Benefits

Perks:Health InsuranceDentalEquityPaid Leave

Key Requirements

•6 months to 3 years in a customer-facing or technical support role, ideally with exposure to building tools or automations.
•Customer-first orientation with a focus on the customer experience in every response.
•Technically capable and systems-oriented—comfortable scripting, building integrations, and working with APIs, data pipelines, or AI/LLM-powered workflows.
•Strong written communication in async channels, crisp and professional.
•Strong triage instincts and the ability to turn repeated questions into scalable knowledge base content and automation.

Skills:Customer-first orientationWritten communicationTriagePattern recognitionDocumentation

Tech Stack:StripeRampSalesforceAPIsData pipelinesAILLMPylonLinearData warehouse

Company Brief

Rillet

Industry: SaaS

Website