Product Manager

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October 9

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Ocrolus

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Artificial Intelligence • Finance • Fintech

Ocrolus is a company that provides AI-driven document processing automation with human-in-the-loop. It specializes in streamlining and enhancing the accuracy of financial document analysis and decision-making for various industries, including small business lending, mortgage, consumer, and multifamily sectors. Ocrolus's technology enables lenders to manage risk and avoid fraud by automating document analysis, ensuring compliance, and bolstering security. The company offers intelligent document processing solutions that classify, capture, detect, and analyze data, providing insights into cash flow, income, employment, address, and identity verification. Ocrolus is known for its innovative approach in automating business processes and enhancing back-office efficiency with a focus on making faster and more accurate financial decisions.

201 - 500 employees

🤖 Artificial Intelligence

💸 Finance

💳 Fintech

💰 $80M Series C on 2021-09

📋 Description

• Craft and own the SMB lending data & analytics product roadmap, prioritizing features based on customer value, market need, and data science feasibility. • Partner with Ocrolus’s engineering and data science teams to deliver products that answer core questions for SMB lenders, such as: How industries and geographies are trending in application volumes, cash flow health, and approval performance. • Which underwriting metrics are most predictive of outcomes such as approval, default, and renewal. • How lenders can benchmark merchant applications for credit across industries and geographies. • How to identify high-quality originators, broker partners, and merchants using data-driven scoring. • How AI and analytics can surface underwriting red flags or recommend focal points in merchant cash flow. • Write clear product requirements, business cases, and strategy documents to bring these insights to life. • Represent Ocrolus’s SMB data and analytics suite externally to clients, partners, and prospects as a subject matter expert. • Build KPIs and dashboards to monitor product performance and adoption, and iterate quickly on learnings. • Educate internal stakeholders and collaborate with GTM teams to ensure seamless delivery and adoption. • Manage end-to-end delivery of new data products, from rapid prototyping to phased rollouts and full launches.

🎯 Requirements

• Minimum of 3 years of strong product management experience. • Ability to write/query databases using SQL, comfort with working in a hands-on fashion with a team of data scientists, ability to present and explain visual representations of data • Experience with SMB lending, credit, or fintech (preferred). • Excellent ability to collaborate with data science and engineering teams to translate complex analyses into intuitive products. • Comfort leveraging AI as a tool for product discovery and prototyping and as a core component of the solutions you build. You must partner with data scientists to translate AI-driven insights into intuitive, high-value products for SMB lenders. • Strong client-facing skills and ability to articulate data insights to technical and non-technical audiences. • Track record of driving measurable product adoption and business outcomes. • Ability to navigate setbacks and iterate quickly toward better solutions. • Nice-to-haves: Background in data science, analytics, or financial modeling. • Degree in Finance, Economics, Computer Science, or related field; MBA a plus.

🏖️ Benefits

• equity • benefits