Cloud Support Engineer: Education & Nonprofit Cloud

salesforce.com, inc.; Seattle (WA); On-site; USD 81,000 - 122,000; Full time

Job summary

Salesforce is seeking aTechnical Support Engineer for the Nonprofit Cloud & Education Cloud Support team in Seattle. The role focuses on NPC/EDC, OmniStudio, and related components to support enterprise SaaS for nonprofit and education sectors.

You will work with Premier customers, collaborate with Product, Engineering, Success, and Sales, and contribute to CSAT, SLA, and time-to-resolution metrics while growing product depth over time.

Qualifications

• Degree or equivalent validated experience required.
• 2+ years of prior experience in a Technical Support/Services-related role.
• Experience with Salesforce and/or CRM applications and other cloud-based technologies.
• Comfortable interacting with all levels of customer and Salesforce management.
• Ability to multitask and perform effectively under pressure.
• Understanding of Internet technologies: firewalls, web servers, web proxy servers, etc.
• Experience with database concepts and data management, JSON, and SQL.
• Familiarity with system logging tools (Splunk, Sumo Logic) and system monitoring.

Responsibilities

• Deliver high-quality customer support to Premier and broader customer base.
• Contribute to operational excellence and partner with Product, Engineering, Success, and Sales.
• Support complex customer environments and surface product feedback to improve supportability.

Skills

Salesforce

CRM applications

Customer communication

Debug logs

SQL

Splunk

Sumo Logic

Education

Degree or equivalent

Tools

Splunk

Sumo Logic

Job description

Salesforce is seeking aTechnical Support Engineer for the Nonprofit Cloud & Education Cloud Support team in Seattle. The role focuses on NPC/EDC, OmniStudio, and related components to support enterprise SaaS for nonprofit and education sectors.

You will work with Premier customers, collaborate with Product, Engineering, Success, and Sales, and contribute to CSAT, SLA, and time-to-resolution metrics while growing product depth over time.