Top Tech Jobs & Startup Jobs in Seattle, WA

Architect and deliver scalable, secure systems across teams; solve complex cross-team problems; lead large technical initiatives; evaluate emerging technologies; mentor engineers; align technical direction with product and business outcomes while balancing performance, maintainability, and cost.

Lead Bankrate's organic demand system across AI search (AEO/GEO), SEO, and content. Define AI citation strategy, own organic revenue and measurement, build an AI-native team and agentic workflows, and partner with paid, brand, product, and analytics to drive durable, revenue-generating organic growth.

Lead end-to-end AI product discovery, prototype and ship working ML/AI solutions for HR, Marketing, and Commercial teams. Build first prototypes yourself, partner with engineers to productionize, define success metrics, and drive adoption and business impact.

Sole designer on a Brand Product squad owning end-to-end product design: user discovery, research, prototyping, and production-ready specs. Partner closely with engineers, contribute to the design system and brand standards, prioritize accessibility, and share craft and AI-augmented workflows across the design org.

Lead and build the DevSecOps function: implement SOC 2 controls, automate compliance and evidence pipelines, own cloud security posture, CI/CD security gates, vulnerability management, and AI-assisted auto-remediation to embed security as code across the developer lifecycle.

Lead a small team (2-4) as a hands-on engineering manager, owning sprint delivery, team health, performance management, and incident response. Contribute to a TypeScript codebase, partner with Product and Design, uphold operational and compliance standards for money-touching products, and champion AI-forward automation, IaC, CI/CD, and observability to ship reliable software.

Design and deliver scalable, secure, and maintainable software systems. Contribute to architecture, build CI/CD pipelines, design distributed systems and APIs, mentor engineers, collaborate with product and design, and improve observability, performance, and operational reliability across teams.

Embed with business teams to discover high-leverage problems and build end-to-end production AI agents, tools, and integrations. Rapidly prototype using agentic coding tools, AI APIs, vector databases, and automation, then deploy reliable, auditable systems that drive measurable business outcomes.