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Lead Product Manager (Machine Learning)

  • Location

    San Francisco

  • Sector:

    Product

  • Job type:

    Remote

  • Salary:

    $230,000

  • Contact:

    William Taylor

  • Contact email:

    william@intelletec.com

  • Job ref:

    BT - 217

  • Consultant:

    William Banks Taylor

This Post IPO FinTech company is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

 

As a data driven organization, we focus on automating decisions around a host of areas such as underwriting, fraud, capital markets, pricing (for merchants and consumers), and personalization. To achieve our ambitious goals for these areas, we’re looking for a Lead Product Manager to join our Product Team. This role will empower our teams to build delightful and magical user experiences through seamless automated decisioning powered by machine learning!

 

This product manager will be responsible for setting product strategies around our key product areas of consumer credit, underwriting, and loan economics which form the foundation of all end user experiences in the US and globally. This role reports to the Group Product Manager for ML and Risk, which consists of ML, Credit, Pricing, and Merchant Risk.

 

What You'll Do

  • Create new credit products that maximize the value we provide to our consumers

  • Drive product roadmap and own prioritization process for ML and Credit

  • Define the success metrics, OKRs and SLAs by partnering with cross functional leaders

  • Work closely with all product teams, business, ops, and executive partners to ensure successful end-to-end delivery of credit products powered by data

  • Use data-driven experimentation and measurement frameworks to track product success or lack there of

 

What We Look For

  • 5+ years experience in Product Management

  • Ability to work in a global environment across multiple locations and time zones to drive consensus in cross-functional teams

  • Outstanding written and verbal communication with a diverse stakeholder audience

  • Comfortable in an ambiguous matrixed organization

  • Deep understanding of software development for machine-learned products and platform services

  • Familiarity with a highly regulated industry

  • Familiarity with a machine learning model lifecycle from ideation to deployment

  • A thorough understanding of how to apply algorithms

  • Ability to champion the use of data to drive automated decisions online

  • Key knowledge around experimentation

  • Experience in platform and service oriented architectures to build for scale

 

Compensation

  • $230,000

  • Equity