Oportun
1001 - 5000 employees
Founded 2006
💳 Fintech
💸 Finance
Fintech • Finance
Oportun is a financial technology company that specializes in providing affordable personal loans and savings solutions. They are recognized as Bankrate's #1 app for saving money in 2024. Oportun offers personal loans ranging from $300 to $10,000 for various financial needs such as bills, repairs, and deposits, with quick funding and affordable payments. The company provides a unique app that helps users manage their loans and saves money intelligently. Oportun also focuses on financial education and offers tools like loan calculators and prequalification services, which do not impact credit scores. Although Oportun is not a bank, they ensure deposits are FDIC insured through partner banks.
Senior Product Manager, Data & AI Products
Job not on LinkedIn
🔥 0 minutes ago
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Oportun
1001 - 5000 employees
Founded 2006
💳 Fintech
💸 Finance
Fintech • Finance
Oportun is a financial technology company that specializes in providing affordable personal loans and savings solutions. They are recognized as Bankrate's #1 app for saving money in 2024. Oportun offers personal loans ranging from $300 to $10,000 for various financial needs such as bills, repairs, and deposits, with quick funding and affordable payments. The company provides a unique app that helps users manage their loans and saves money intelligently. Oportun also focuses on financial education and offers tools like loan calculators and prequalification services, which do not impact credit scores. Although Oportun is not a bank, they ensure deposits are FDIC insured through partner banks.
📋 Description
• Own and scale Oportun's internal data products • Lead the Gen AI analytics initiative • Define product strategy and roadmap for AI-powered analytics • Collaborate with engineering on system capabilities • Drive adoption of data products and tools across the organization
🎯 Requirements
• 6-10+ years of product management experience, with at least 3 years focused on data products, analytics platforms, or AI/ML systems • Track record of shipping data-intensive products in complex enterprise environments • Experience working with data engineering, analytics engineering, and/or ML engineering teams • Familiarity with the modern data stack (warehouses, semantic layers, BI tools, orchestration)
🏖️ Benefits
• Health insurance • 401(k) plan • Professional development opportunities • Flexible work arrangements • Paid time off
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