Top Tech Jobs & Startup Jobs in Seattle, WA

Reposted 3 Hours AgoSaved
Remote
USA
184K-270K Annually
Senior level
184K-270K Annually
Senior level
Financial Services
Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.
Top Skills: Apache AirflowDatabricksDeep LearningFlinkGenerative AiKafkaKinesisMachine LearningMl OpsSnowflakeSparkXgboost
2 Days AgoSaved
Remote
USA
73K-86K Annually
Mid level
73K-86K Annually
Mid level
Financial Services
The Video & AI Content Creator produces engaging motion content for social media and marketing, leveraging AI tools and strong editorial skills to enhance storytelling across various formats.
Top Skills: Adobe Creative SuiteAfter EffectsAi Image Generation ToolsCapcutPremiere Pro
5 Days AgoSaved
Remote
USA
165K-190K Annually
Senior level
165K-190K Annually
Senior level
Financial Services
The Senior Product Manager will enhance customer experiences, drive product strategies, manage lifecycle stages, and collaborate with teams to increase satisfaction and revenue growth.
Top Skills: Adobe SuiteAgileCustomer Experience Management SoftwareGoogle AnalyticsJIRAMS OfficeMiroMs ProjectMural
5 Days AgoSaved
Remote
USA
165K-190K Annually
Senior level
165K-190K Annually
Senior level
Financial Services
The Senior Product Manager advocates for customers, enhances product experiences, analyzes data for improvements, and leads product development strategies while collaborating with technical teams.
Top Skills: Adobe SuiteAgile PrinciplesCollaboration ToolsCustomer Experience Management SoftwareData Mining ToolsGoogle AnalyticsJIRARally
Reposted 5 Days AgoSaved
Remote
USA
128K-165K Annually
Senior level
128K-165K Annually
Senior level
Financial Services
The Senior Analyst in Predictive Analytics and Machine Learning develops and maintains statistical models to support business decisions, monitors model performance, and collaborates with stakeholders across the company.
Top Skills: PythonRSASSQL
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Reposted 9 Days AgoSaved
Remote
USA
115K-153K Annually
Senior level
115K-153K Annually
Senior level
Financial Services
The Supervisor of Analytics Reporting position involves monitoring model performance, developing reports, providing mentorship, and utilizing analytical tools to drive business decisions. Responsibilities include data extraction, reporting on KPIs, and leading the analytics team to achieve business objectives.
Top Skills: PythonRSASSQL
11 Days AgoSaved
Remote
USA
114K-167K Annually
Senior level
114K-167K Annually
Senior level
Financial Services
The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.
Top Skills: DatabricksDbtEr/StudioErwinSQLSqldbm
12 Days AgoSaved
Remote
USA
120K-176K Annually
Senior level
120K-176K Annually
Senior level
Financial Services
The Technical Product Manager develops and delivers scalable technology solutions, aligns data strategies with business goals, and collaborates on product requirements across teams. This role includes enhancing software systems, driving technical innovation, and mentoring team members while ensuring alignment with industry standards.
Top Skills: Agile MethodologiesBi PlatformsData Warehouses
Reposted 12 Days AgoSaved
Remote
USA
206K-301K Annually
Expert/Leader
206K-301K Annually
Expert/Leader
Financial Services
The Director of Machine Learning Engineering is responsible for leading AI strategy, overseeing ML solutions, driving innovation, building teams, and ensuring operational excellence in ML systems.
Top Skills: AICausal InferenceCloud ComputingDeep LearningGenerative AiGraph Neural NetworksKubeflowLlmsMachine LearningMlflowRecommendation Engines
Reposted 12 Days AgoSaved
Remote
USA
209K-306K Annually
Senior level
209K-306K Annually
Senior level
Financial Services
The Director of Data Lake and Integration leads technical strategy for enterprise data lake, aligning with business goals, overseeing data integration and modeling, and ensuring data availability for decision-making.
Top Skills: Cloud ComputingData IntegrationData LakeDistributed ComputingNoSQLReal-Time Data Processing
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