Top Tech Jobs & Startup Jobs in Seattle, WA

The Support Specialist delivers customer support, builds relationships, troubleshoots issues, collaborates internally, and improves support processes for a tech startup's AI fundraising platform.

The Accounting Manager will oversee day-to-day accounting operations, manage invoicing, accounts receivable/payable, month-end close, and support audits.

Owner of cloud infrastructure and full-stack features: build front- and back-end components, drive DevOps/SysOps automation and CI/CD, manage and scale AWS, implement monitoring and tooling, troubleshoot production, and improve system performance and reliability.

Own front-end development of web applications using React and TypeScript. Build reusable components, collaborate with design/backend/AI teams, integrate APIs, optimize performance and accessibility, and iterate via A/B testing and analytics.

Manage full sales cycle to grow nonprofit customers, build relationships with decision-makers, close deals, expand accounts, share market insights, and hit revenue targets.

Lead and evolve Givzey / Version2.ai brand through visual storytelling, design systems, and cross-channel creative. Collaborate with product, marketing, sales, and customer success to deliver campaigns, video, web, and sales enablement that drive donor engagement and ensure brand consistency.

Manage back-end operations of an AI-powered autonomous fundraising system, including human-in-the-loop review, AI training, knowledgebase development, documentation, onboarding, basic website/content support, third-party platform coordination, JIRA issue reporting, and customer troubleshooting.

Build and maintain end-to-end web applications: design, code, test, debug, and deploy backend APIs and front-end components. Improve legacy systems, create reusable libraries, and support operations and clients while collaborating with product and customers.

Design, develop, and deploy machine learning models; analyze large datasets; build scalable data pipelines and distributed computing environments; integrate ML solutions with cross-functional teams; optimize performance and support production ML infrastructure.

Develop, maintain, and improve web applications and interfaces using Python and modern front-end technologies. Write clean, testable code, debug, integrate back-end data, document features, ensure security best practices, and collaborate with team members and customers to deliver user-focused solutions.