Top Tech Jobs & Startup Jobs in Los Angeles, CA

Reposted 25 Days AgoSaved
Remote
United States
162K-175K Annually
Senior level
162K-175K Annually
Senior level
Fintech • Financial Services
Own liquidity forecasting, cash management, lender reporting, and covenant monitoring for a growing fintech lending business. Build and maintain cash flow models, optimize facility utilization, produce lender/investor reports, and partner across Finance, Risk, DCM, and Engineering to support funding and securitization decisions.
Reposted One Month AgoSaved
Remote
United States
135K-320K Annually
Senior level
135K-320K Annually
Senior level
Fintech • Financial Services
Drive strategic enterprise sales to large D2C merchants, managing 15-20 accounts through long sales cycles. Build account maps, engage C-suite stakeholders, develop ROI-driven payment solutions, use data and AI to surface opportunities, maintain pipeline, collaborate with marketing/analytics/engineering, and travel to customer sites (30-40%).
Top Skills: AdyenAi ToolsE-Commerce PlatformsFiservLinkedin Sales NavigatorOrchestration LayersSalesforceStripe
One Month AgoSaved
Remote
United States
162K-175K Annually
Senior level
162K-175K Annually
Senior level
Fintech • Financial Services
Lead development of foundational marketing ML models (customer intent, next-best-action, marketing mix and attribution). Own model selection, explainability, monitoring, decisioning layers, and translate outputs into actionable recommendations for marketing and product stakeholders while providing technical leadership.
Top Skills: DatabricksDbtLightgbmPythonPyTorchScikit-LearnSnowflakeSQLXgboost
Reposted One Month AgoSaved
Remote
United States
Entry level
Entry level
Fintech • Financial Services
Join Zip's talent community if you are interested in opportunities in engineering, product, sales, or other areas. Stay connected for future roles.
One Month AgoSaved
Remote
United States
199K-240K Annually
Expert/Leader
199K-240K Annually
Expert/Leader
Fintech • Financial Services
Lead and scale customer analytics and intelligence to inform acquisition, engagement, retention, pricing, and commercial strategy. Build and manage an analytics organization, partner with Data Science and Data Engineering to deliver predictive models, real-time customer data layers, attribution and pricing analytics, and next-best-action frameworks. Translate complex insights into executive recommendations and operationalized data products to drive measurable business outcomes.
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