Ocrolus

Product Manager

Ocrolus

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $180,000 per year

Job Level

Mid-LevelSenior

Tech Stack

SQL

About the role

  • 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 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
product managementSQLdata analysisdata visualizationAIdata-driven scoringKPI developmentdashboard creationrapid prototypingfinancial modeling
Soft skills
collaborationcommunicationclient-facing skillsproblem-solvingadaptabilitystrategic thinkingpresentation skillsstakeholder educationiterationteamwork
Certifications
MBA
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