Top Tech Jobs & Startup Jobs in Seattle, WA

18 Days AgoSaved
In-Office
Seattle, WA, USA
157K-215K Annually
Senior level
157K-215K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Own the vision, strategy, and roadmap for Databricks SQL and Lakebase products. Partner with engineering, design, sales, marketing, leadership, customers, and partners to launch features, drive adoption, differentiate in the cloud data warehouse market, and align initiatives with business goals. Use customer feedback and data-driven insights to prioritize solutions, measure success, and improve user experience.
Top Skills: AnalyticsBusiness IntelligenceCloud Data WarehousesData WarehousingDatabasesDatabricks SqlLakebaseLakehouseSQL
26 Days AgoSaved
In-Office
Seattle, WA, USA
167K-229K Annually
Senior level
167K-229K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Lead product design for Omnigent, Databricks’ platform for building and governing AI coding agents. Own desktop and mobile experiences for live agent sessions, including orchestration, monitoring, approvals, intervention, transparency, and recovery. Design directly in the codebase, build interactive prototypes, establish reusable interaction frameworks, drive cross-platform design consistency, and partner closely with engineering and product. Apply strong interaction, visual, systems, research, and strategic design skills to complex developer and enterprise software experiences.
Top Skills: Ai ToolsCoding ToolsDesign SystemsDesktop PlatformsIdesLlm HarnessesMobile PlatformsMulti-Agent Systems
One Month AgoSaved
In-Office or Remote
Seattle, WA, USA
182K-250K Annually
Senior level
182K-250K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture and technical design, develop end-to-end data pipelines and applications, integrate ML/AI models, guide enterprise customers, and deliver production systems. Collaborate with engineering, product, support, project management, and customer teams while contributing reusable frameworks and product feedback. The role requires customer travel approximately 20% of the time.
Top Skills: Ai ApisSparkAWSAzureCi/CdDatabricks PlatformGCPJavaScriptMl/Ai ModelsMlopsPythonScalaTypescript
One Month AgoSaved
In-Office
2 Locations
220K-302K Annually
Senior level
220K-302K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Senior legal counsel supporting international channel and partner programs for a high-growth technology company. Responsibilities include drafting and negotiating partner agreements, developing scalable channel models, assessing compliance risks across jurisdictions, advising on privacy, security, AI, and intellectual property issues, creating training, and collaborating with commercial, operations, compliance, and business teams.
Top Skills: Artificial IntelligenceCloud MarketplacesData PrivacyInformation SecurityPlatform Technology
One Month AgoSaved
In-Office or Remote
Seattle, WA, USA
219K-301K Annually
Senior level
219K-301K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Lead complex enterprise architecture engagements, consumption strategy, and executive technical relationships for Databricks customers. Design scalable data, AI, streaming, migration, and lakehouse solutions; drive platform adoption, competitive displacement, and revenue growth. Orchestrate cross-functional teams, mentor solutions architects, influence senior stakeholders, and contribute to technical thought leadership through workshops, content, and community engagement.
Top Skills: SparkArtificial IntelligenceCloud-Native PlatformsData GovernanceDatabricksDistributed SystemsLakehouse ArchitectureMachine LearningPysparkPythonReal-Time SystemsSQLStreaming
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Reposted 2 Months AgoSaved
In-Office
Bellevue, WA, USA
182K-247K Annually
Senior level
182K-247K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
As a Staff Software Engineer focusing on backend, you'll design, implement, and operate micro-services, focusing on large-scale data and AI infrastructure.
Top Skills: Apache KafkaSparkAWSAzureC++CloudFormationDockerJavaKubernetesScalaSQLTerraform
Reposted 2 Months AgoSaved
In-Office
Bellevue, WA, USA
182K-247K Annually
Senior level
182K-247K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
As a Staff Software Engineer on the Money team, you'll manage billing systems, develop new pricing strategies, enhance data processing efficiency, and collaborate cross-functionally.
Top Skills: AIAWSAzureCi/CdData PipelinesDatabricksGCPLlms
Reposted 2 Months AgoSaved
In-Office
Seattle, WA, USA
220K-297K Annually
Expert/Leader
220K-297K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Senior Staff Software Engineer - Privacy will enhance security for customers, attracting top talent, and representing the discipline at various events while overseeing data security initiatives.
Top Skills: Access ControlAuthenticationCryptographyGovernanceIdentity ManagementKey ManagementKubernetes SecurityPrivacySafetySecure Application FrameworksTrustWeb Security
Reposted 2 Months AgoSaved
In-Office
Bellevue, WA, USA
217K-299K Annually
Expert/Leader
217K-299K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
As a Sr. Staff Software Engineer on the Money team, you'll manage billing processes, develop pricing strategies, enhance infrastructure, lead cross-functional projects, and use AI for cost optimization.
Top Skills: SparkAzure)Cloud Providers (AwsDatabricks Data + Ai ToolsGCP
Reposted 2 Months AgoSaved
In-Office
Seattle, WA, USA
149K-205K Annually
Senior level
149K-205K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The role involves defining and executing the vision for Databricks AI, collaborating with engineering teams to develop AI products, and engaging with stakeholders to uncover new use cases.
Top Skills: Ai/MlSaaSSQL
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