Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the Release Observability engineering group, guiding strategic execution, product direction, and managing teams while collaborating with multiple stakeholders.

The role involves negotiating various agreements related to LaunchDarkly's SaaS products, providing pragmatic legal advice, and managing vendor contracts while supporting the Sales organization.

The HR Business Partner will collaborate with leaders in the Go-To-Market organization to enhance team performance, build leadership strength, and develop scalable HR programs for growth.

The Head of Procurement manages the procurement process, develops frameworks, negotiates vendor agreements, and engages with cross-functional teams to optimize costs and ensure value in procurement activities.

The Corporate Solutions Engineer serves as a technical advisor, guiding customers through the sales process, translating requirements into solutions, and ensuring customer satisfaction while promoting product expansion. Responsibilities include presentations, customer engagement, and collaboration with internal teams.

Lead cross-functional growth strategies and manage the inbound conversion funnel to drive revenue. Collaborate with various teams to create and optimize growth paths, analyze performance, and guide marketing efforts.

The Mid-Market Account Executive will prospect leads, provide product demos, manage customer relationships, and consistently reach revenue targets.

As a Staff Engineer, you'll architect and build resilient distributed systems, mentor teams, improve system performance, and engage in incident response for a high-availability feature flag delivery network.

The Strategic Account Executive will manage relationships with key customers, develop account plans, ensure product adoption, and drive growth effectively. They will work autonomously, collaborate with teams, and communicate LaunchDarkly's value to executives.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.