Top Tech Jobs & Startup Jobs

YesterdaySaved
In-Office
Culver City, CA, USA
120K-135K Annually
Senior level
120K-135K Annually
Senior level
News + Entertainment • Payments • Software
Analyze pricing, campaign, and portfolio performance to inform Ad Sales and Capital business decisions. Build dashboards, reports, and analytical tools; identify trends and optimization opportunities; automate recurring processes; monitor campaign and portfolio results; and translate complex data into actionable recommendations. Collaborate with Creator, Ad Sales, Finance, Engineering, and Analytics teams to develop scalable, data-driven solutions.
Top Skills: ExcelGoogle SlidesLookerPower BIPowerPointPythonPyTorchRSap AbapSQLTableauTensorFlowTibco Spotfire
One Month AgoSaved
In-Office
Culver City, CA, USA
160K-180K Annually
Senior level
160K-180K Annually
Senior level
News + Entertainment • Payments • Software
Lead analytics engineering strategy and mentor analytics engineers while delivering scalable data pipelines, ETL processes, analytics-ready datasets, data quality frameworks, dashboards, and self-service reporting tools. Partner with data engineers, data scientists, analysts, and senior stakeholders to translate business needs into reliable technical solutions using Python, SQL, dbt, data warehouses, Spotfire, and Power BI.
Top Skills: Amazon RedshiftDatabricksDbtETLGoogle BigqueryPower BIPythonSnowflakeSQLTibco Spotfire
One Month AgoSaved
In-Office
Culver City, CA, USA
100K-110K Annually
Senior level
100K-110K Annually
Senior level
News + Entertainment • Payments • Software
Manage and grow advertiser and agency relationships for creator-led video campaigns. Develop strategic media plans, analyze campaign performance, produce client-facing reports, identify upsell/renewal opportunities, and coordinate cross-functional teams to optimize results and revenue.
Top Skills: ExcelPowerPointYoutube
Reposted One Month AgoSaved
In-Office
Culver City, CA, USA
185K-2M Annually
Senior level
185K-2M Annually
Senior level
News + Entertainment • Payments • Software
Design, train, evaluate, optimize, and deploy production ML models including recommendation, ranking, personalization, and adaptive decision systems. Apply reinforcement learning, contextual bandits, offline policy evaluation, causal inference, and experimentation to improve creator-facing products. Build scalable training, evaluation, deployment, and inference pipelines; work with logged interaction data; collaborate with Product, Engineering, and Analytics to translate customer problems into production ML solutions.
Top Skills: A/B TestingCausal InferenceContextual BanditsCounterfactual EvaluationDeep Learning FrameworksEmbeddingsNeural NetworksOffline Policy EvaluationPersonalizationPythonRanking SystemsRecommendation SystemsReinforcement LearningRepresentation LearningSequence ModelingSQL
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