Top Entry Level Jobs in Seattle, WA

The Product Marketing Manager will oversee a team to create marketing strategies for consumer bank products, manage budgets, and ensure compliance with regulations.

As a Customer Success Representative, you'll manage customer support inquiries, review content for compliance, and ensure Trust and Safety standards are met across the Disqus platform.

Act as the primary technical support contact for customers: troubleshoot Windows and macOS issues, escalate incidents, follow up to resolution, recommend documentation updates, and continually grow product and procedural knowledge to maintain high CSAT.

As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.

Provide front-line support for independent hardware and paint store clients across Rundoo's ERP platform via Intercom, email, and phone. Troubleshoot POS, inventory, and accounting issues, perform spreadsheet-based data reconciliation, collaborate with engineering on bugs, document solutions in Notion, and maintain fast response and satisfaction metrics.

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

As a Customer Service Representative, you'll manage inbound customer calls, provide exceptional service, and assist with account-related inquiries after a 4-week training program.

Drive new customer acquisition and revenue growth as part of the Outbound Sales Development team. Collaborate with cross-functional teams to build a strong sales pipeline and understand customer needs in the ASR space.

The SMB Account Executive will manage customer relationships, drive new acquisitions, and enhance existing client accounts through strategic outreach and communication.

Protect CrowdStrike intellectual property by detecting and investigating eCommerce fraud. Build and maintain Snowflake data pipelines and SQL queries, develop rules-based risk engines, leverage Python and AI/LLM tools for detection, triage incidents, communicate findings across stakeholders, and refine automated workflows to reduce fraud and onboarding vulnerabilities.