Top Senior Level Jobs in Seattle, WA

Lead product strategy and roadmap for Qualtrics' Core AI Platform, building foundational capabilities (ontologies, agents, model infra, retrieval, observability, safety). Partner cross-functionally to define architecture, prioritize investments, drive implementation, and measure platform adoption, reliability, and AI quality for enterprise use.

Lead business development and delivery of supply chain transformation engagements for high-tech and data center clients. Build client relationships, design analytics-driven solutions (inventory, demand/capacity planning, network design, supplier performance), manage cross-functional teams, present executive recommendations, and coach project staff.

The Senior Account Executive will acquire new clients and expand existing accounts, focusing on B2B SaaS sales in the digital native sector.

The Senior Solutions Engineer partners with sales to design solutions, deliver presentations, conduct demos, and support enterprise customer initiatives while focusing on Cloudflare’s product benefits.

The Partner Solutions Lead at LogicMonitor focuses on ensuring superior implementations of the LogicMonitor platform by supporting partners through technical guidance, QA, and enhancing delivery standards.

Lead and grow a data science team focused on provider experience. Define strategy, build roadmaps, run analyses, experiments, and predictive models, surface insights, and partner cross-functionally to drive measurable improvements in provider engagement and product experience.

The Systems Engineer will provide leadership in designing, integrating, and testing complex aircraft mission systems. Responsibilities include managing requirements, conducting trade studies, and evaluating design alternatives for mission capabilities.

Drive corporate financial forecasting, variance analysis, financial modeling, capital allocation, long-range planning, ROI analysis, and OpEx/headcount management. Advise business units, prepare board reporting and dashboards, validate financial data, improve workflows, automate reporting, shorten month-end cycles, and document finance procedures. The role requires strong Excel, ERP/EPM, GAAP, financial analysis, generative AI, data synthesis, executive communication, and multitasking skills.

Build and advance application and product security across the engineering organization. Responsibilities include establishing secure defaults, CI guardrails, security requirements, threat modeling, risk assessments, penetration testing, vulnerability remediation, secure coding education, roadmap ownership, and hands-on code review. The role partners closely with product, engineering, DevOps, and services teams to secure applications, microservices, and AI features while enabling efficient development.

Leads the design, development, and troubleshooting of secure enterprise software solutions. Builds production-quality code, reviews implementations, conducts threat modeling, vulnerability discovery, penetration testing, and control validation. Partners with stakeholders to address security risks and improve protocols. Guides teams in responsible AI-assisted security workflows, ensuring validation, data protection, traceability, auditability, resiliency, and regulatory alignment. Develops internal tools, workflow automation, and pipeline systems using identity and access management technologies.

Lead design and delivery of scalable ML/AI infrastructure and lifecycle tooling. Collaborate with product teams to enable dataset curation, model training, serving, monitoring, and deployment. Drive architecture, mentor engineers, contribute code reviews, and partner across teams to launch ML capabilities used across Atlassian products.