Senior Manager, Engineering (Seattle, WA)

8+ years of engineering leadership or management experience within full-stack or AI/ML-focused environments. Hands-on background building and shipping enterprise-grade software, preferably with experience deploying models or agents, integrating ML services, and working across backend, frontend, and data pipelines. Strong grasp of Agile/Scrum with a proven track record of leading teams to successful delivery. Deep familiarity with observability, capacity planning, service level management, performance monitoring, and end-to-end software delivery lifecycle. Experience operating in environments with strict security and compliance requirements. Strong cross-functional communication skills and ability to partner with product, design, compliance, and security teams. Ability to dive deep technically–software architecture, backend/frontend integration, AI/ML system design, scalable infrastructure, observability, and deployment pipelines. Self-motivated, bias for action, comfortable with ambiguity, able to take proactive initiative and ownership of end-to-end outcomes. Comfortable navigating startup-like environments: ambiguity, rapid change, evolving priorities, fast-paced deliverables. Data/metrics-driven: believe in using dashboards, KPIs, and data-backed insights to inform decisions, track progress, and surface issues early. Demonstrated success working in teams that ship fast and iterate quickly while maintaining quality, stability, and security.

Own sprint planning, standups, retrospectives, backlog grooming, and cross-functional coordination. Drive delivery across multiple product areas, including AI agents, workflow automation, integrations, and UI/backend systems. Design and maintain dashboards and reporting systems covering capacity, velocity, lead time, deployment quality, resource utilization, and other performance KPIs. Identify trends and surface risks early through data-driven insights. Provide architectural guidance for full-stack and AI/ML components. Shape design decisions, enforce high code quality, and ensure scalable and compliant infrastructure. Identify bottlenecks and friction points across teams. Implement process improvements and reinforce engineering best practices to improve speed, stability, and collaboration. Collaborate closely with Product, Security, and Compliance to meet business requirements and regulatory needs. Ensure all deliverables meet enterprise-grade standards. Help onboard and grow engineering talent, especially junior and mid-level engineers. Maintain high standards of execution as the organization scales. Take ownership of undefined or evolving problems, propose and implement solutions independently, and adapt quickly in a fast-paced environment.