Top Tech Jobs & Startup Jobs in Chicago, IL

Reposted 23 Days AgoSaved
Remote
US
125K-135K Annually
Senior level
125K-135K Annually
Senior level
eCommerce • Insurance • Software
Lead cross-functional teams to identify and implement revenue-driving strategies. Own revenue optimization, develop quantitative analyses (A/B testing, causal impact), improve data pipelines and tracking, embed AI into workflows, and present insights to leadership to scale and recover revenue.
Top Skills: A/B TestingClaudeGeminiGitPythonSQL
Reposted 29 Days AgoSaved
Remote
US
50K-63K Annually
Mid level
50K-63K Annually
Mid level
eCommerce • Insurance • Software
As a Fraud Operations Specialist, you will investigate fraud cases, analyze risk scores, collaborate across departments, and improve fraud detection processes. You will use data analysis to ensure compliance and support the overall efficiency of claims management.
Top Skills: ExcelGoogle SuiteMicrosoft SuiteSnowflakeSQL
Reposted One Month AgoSaved
Remote
US
124K-145K Annually
Senior level
124K-145K Annually
Senior level
eCommerce • Insurance • Software
Owns analytics and reporting that inform sales, merchant success, product, and fraud teams; builds business cases, pricing models, dashboards, and ROI analyses to drive merchant acquisition, expansion, and retention.
Top Skills: AISnowflakeSQLTableau
One Month AgoSaved
Remote
U.S.
125K-140K Annually
Senior level
125K-140K Annually
Senior level
eCommerce • Insurance • Software
Own GTM strategy and category growth for assigned retail verticals across product and shipping protection. Lead pod operations, synthesize merchant and market insights into GTM playbooks, influence the product roadmap, advise key accounts, design custom solutions, and drive revenue and pricing competitiveness using data and AI-driven tools.
Top Skills: Ai ToolsBi ToolsExcel
One Month AgoSaved
Remote
US
135K-165K Annually
Senior level
135K-165K Annually
Senior level
eCommerce • Insurance • Software
Lead end-to-end development of fraud and risk ML systems: define problems, engineer features, build and evaluate models, collaborate with product and engineering, deploy with ML engineers, and monitor production performance to detect drift and trigger retraining.
Top Skills: PythonPyTorchScikit-LearnSQLXgboost
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