Top Tech Jobs & Startup Jobs in Seattle, WA

Reposted 3 Months AgoSaved
In-Office
Bellevue, WA, USA
188K-275K Annually
Senior level
188K-275K Annually
Senior level
Cloud • Information Technology • Machine Learning
As a Staff Product Manager, you will own the strategy and roadmap for networking products, translating market insights into product requirements and working with cross-functional teams to launch new offerings.
Top Skills: Direct ConnectDistributed SystemsHpc NetworkingLoad BalancersNetworkingVpcs
Reposted 3 Months AgoSaved
In-Office
Bellevue, WA, USA
165K-242K Annually
Senior level
165K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
The Senior Software Engineer II, AI/ML leads designs, enhances architecture, optimizes multilayer systems, mentors engineers, and ensures service reliability at CoreWeave.
Top Skills: C++CudaGoGrafanaKubernetesNcclNumaOpentelemetryPrometheusPythonRdma
Reposted 3 Months AgoSaved
In-Office
Bellevue, WA, USA
185K-275K Annually
Senior level
185K-275K Annually
Senior level
Cloud • Information Technology • Machine Learning
As a Staff Engineer, you'll lead the orchestration platform strategy, mentor engineers, and ensure reliable workloads across GPU clusters, directly impacting AI innovation.
Top Skills: Argo WorkflowsCloud-Native TechnologiesGoIstioKnativeKubeflowKubernetesKueueRaySlurm
Reposted 3 Months AgoSaved
In-Office
Seattle, WA, USA
165K-242K Annually
Expert/Leader
165K-242K Annually
Expert/Leader
Cloud • Information Technology • Machine Learning
As Director of Field Enablement, you will create and implement enablement strategies for Sales and Customer Experience teams, focusing on productivity, training, and revenue outcomes. You will collaborate with various departments to enhance operational excellence and lead a high-performing team.
Top Skills: AnalyticsCRMEnablement ToolsLms
One Month AgoSaved
Remote
USA
165K-220K Annually
Senior level
165K-220K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead enterprise eDiscovery and insider-risk investigations by collecting, preserving, analyzing, and reviewing data from cloud infrastructure, endpoints, and repositories. Build AI-powered automation, correlate activity logs into investigative timelines, manage legal holds and governance policies, support digital forensics, and produce structured evidence packages for Security, Legal, HR, and investigative teams.
Top Skills: Ai AutomationCloud Audit LogsData Classification And Labeling TechnologiesDigital Forensics SoftwareEdiscovery PlatformsEs/QlGoPythonSIEMSQL
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