Top Tech Jobs & Startup Jobs in Seattle, WA

Lead Splunk's Incident, Problem, and Escalation Management (SPIE) engineering teams to run incident response, reduce recurring issues, drive cross-functional operating models, and translate customer-impact data into engineering priorities and resilience improvements.

Sell Splunk commercial SaaS solutions across a geo-based territory: generate pipeline, manage full sales cycles, meet license/support/service revenue targets, collaborate with partners, engage C-level stakeholders, and apply consultative selling to expand accounts and drive revenue growth.

Lead the roadmap and architecture for an enterprise-scale AI Development Factory: enable data ingestion, model fine-tuning and deployment, orchestration, governance/guardrails, and observability to ship secure, production-grade AI platforms for global customers.

Provide expert-level troubleshooting for complex network performance issues (BGP, OSPF, DNS, TCP/IP), lead resolution of critical outages using telemetry and packet captures, automate diagnostics with scripting, mentor junior engineers, produce documentation, and partner with engineering/product teams to drive product improvements in a FedRAMP environment.

Lead a team building production AI systems for code generation and developer productivity. Define technical roadmap, drive architecture for distributed training/inference and model serving, partner cross-functionally, establish evaluation/observability/benchmarking practices, and hire and mentor engineering talent to deliver scalable, reliable AI-powered developer tooling.

Lead research, design, and deployment of large-scale foundation models for machine-generated data (logs, time series, traces). Define AI strategy, mentor senior engineers, partner with product and exec teams, and drive production-grade model training, optimization, and MLOps for enterprise-scale applications.

Drive license, support, and services revenue for Splunk in Washington SLED and Higher Education accounts. Land, expand, and deepen complex, solution-based deals; build executive relationships; leverage partners and channels; act as a thought leader in machine learning and predictive analytics; consistently exceed quota and provide cross-functional feedback.

Lead development and execution of pricing and monetization strategies across Cisco's hardware and software portfolio. Collaborate cross-functionally to analyze market/competitive trends, customer behavior, price elasticity, and packaging. Support annual pricing reviews, build scalable pricing tools, and drive monetization initiatives to capture value and accelerate AI-driven offerings.

Lead development and execution of pricing and monetization strategies across Cisco's hardware and software portfolio. Collaborate cross-functionally to design pricing models, analyze market and customer behavior, support annual pricing reviews, and build scalable pricing capabilities and tools to optimize revenue and packaging.

Lead AI-driven observability product portfolio: define roadmaps, drive AI-powered monitoring, root-cause analysis, anomaly detection, alert correlation, remediation, and agentic automation. Own product lifecycle, align stakeholders, incorporate customer feedback, and evangelize solutions while ensuring AI evaluation quality and reliability.