Top Tech Jobs & Startup Jobs in Seattle, WA

Provides technical customer support for low- to moderate-complexity cases, incidents, bugs, and feature requests. Responsibilities include troubleshooting, reproducing and diagnosing issues, root cause analysis, ticket and SLA management, customer communication and education, system configuration, documentation, and cross-functional escalation. The role also requires product expertise and proficiency in at least one technical area such as SQL, web technologies, email deliverability, CRM systems, or APIs.

The Revenue Recognition Accountant will manage revenue accounting processes, ensure compliance with GAAP, and handle monthly revenue entries and audits.

The Director of Cloud Operations will lead cloud infrastructure and operational practices, ensure system reliability, and manage a distributed team while driving continuous improvement in cloud services.

Manage execution and operational aspects of multi-channel demand-generation and ABM campaigns using Marketo. Build, test, deploy, and QA emails, landing pages, webinars, events, and web pages; ensure CRM integration and data quality; analyze campaign performance; document processes and train stakeholders to improve campaign scalability and compliance.

Design, build, and own scalable multi-tenant SaaS applications across frontend, backend, and data layers. Improve system architecture, performance, reliability, and testing practices. Integrate AI-assisted tools, mentor engineers, conduct code reviews, and collaborate with Product and Design to deliver intuitive, production-grade software.

The Manager, GTM Systems oversees the architecture, governance, and efficiency of go-to-market systems, focusing on CRM, CPQ, integrations, and data quality. This role involves cross-functional collaboration to support scalable revenue operations and optimize business processes.

Lead revenue forecasting, planning, and executive reporting across new, renewal, and expansion revenue. Manage and grow a revenue insights team while owning pre-sales analytics, forecast methodology, capacity and quota planning, and performance narratives. Build pipeline and forecast reporting, track conversion/velocity metrics, surface risks early, and apply AI to improve forecasting, anomaly detection, and automated insights.