Top Tech Jobs & Startup Jobs in Seattle, WA

Design, implement, and maintain SaaS features using Python and React on AWS. Lead system design, code reviews, CI/CD pipelines, AI-integrated development (LLMs and AI coding agents), prompt engineering, testing (Cypress), and on-call production support. Mentor teammates and ensure secure, scalable, well-documented software.

Serve as first point of contact via phone, chat, email, and portal to troubleshoot and resolve customer issues. Maintain case records, prioritize by SLA/severity, identify workarounds, and meet monthly customer satisfaction goals.

Drive go-to-market strategy for HR Solutions: conduct market research, craft positioning and messaging, lead product launches, create content and sales enablement, gather customer insights, and collaborate cross-functionally to increase product adoption and market share.

Perform pre-employment verifications by contacting employers, schools, boards and databases to confirm employment, education, licenses and references. Document findings, analyze documents, prepare accurate screening reports, meet production and quality targets, and conduct virtual I-9 Section 2 meetings.

Own month-end close tasks, prepare/post journal entries, maintain GL schedules, reconcile accounts, support monthly and year-end reporting, assist annual audit, handle M&A integration reporting, update accounting policies, and drive process improvements.

The Principal AI Product Engineer leads the development of AI-integrated software solutions, overseeing architecture and mentoring teams. Key responsibilities include technical leadership, AI integration, task decomposition, and enhancing build pipelines.

Lead the Data & Cloud Platform for the AI organization, building cloud runtime, unified data access layers, agent memory/context systems, and data ingestion/transformation pipelines. Split time between hands-on engineering and managing a small team, set platform patterns, ensure privacy-aware data handling, and partner with product and governance teams to scale maintainable, cost-effective infrastructure for AI workloads.

The Sales Consultant will collaborate with clients to provide tailored technology solutions, support the sales process, and leverage industry insights to drive revenue growth.

Lead and build the AI Quality & Governance platform: observability, evaluations, guardrails, SLOs, and incident playbooks. Design automated and human-in-the-loop evaluation pipelines, enforce release gates, translate governance frameworks into engineering controls, partner with product teams on AI incidents, and hire and grow a hands-on engineering team while contributing substantial production code.

The Account Manager will manage a portfolio of customers, focusing on revenue retention and growth, conducting reviews, and identifying potential upsell opportunities.