Lead Data & Insights Platform Product Manager

PayNearMe, Inc.

United States

Remote

USD 200,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Stock options
Health benefits
401k plan
Paid parental leave
Flexible time off
WFH stipend
Peripheral equipment reimbursement

Job summary

PayNearMe, Inc. seeks a Principal Product Manager, Data & Insights to define how data powers products, analytics, recommendations, and AI capabilities across the platform.

You will set the strategy, priorities, and roadmap for data capture, modeling, measurement, exposure, and reuse to deliver better customer outcomes and growth. The role focuses on turning data into a reusable platform capability, enabling product teams to access core data assets, surface meaningful insights, and accelerate

Qualifications

  • 10+ years in product management for data-intensive or AI-enabled products.
  • Proven track record launching data-driven platforms and analytics.
  • Deep understanding of data modeling, governance, and exposure in products.
  • Experience with data engineering, ML, and software engineering.
  • Strong executive communication and stakeholder management.

Responsibilities

  • Define data as a strategic product and platform capability.
  • Set roadmap priorities for data products, insights, and AI capabilities.
  • Define reusable data capabilities across products.
  • Bridge data strategy with customer outcomes and business goals.
  • Oversee analytics, recommendations, and AI-enabled experiences.

Skills

Data-driven PM
Leadership
AI product
Fintech domain
Stakeholder management
Strategy & roadmap

Tools

Data platforms
Analytics platforms
ML concepts

Job description

PayNearMe, Inc. seeks a Principal Product Manager, Data & Insights to define how data powers products, analytics, recommendations, and AI capabilities across the platform.

You will set the strategy, priorities, and roadmap for data capture, modeling, measurement, exposure, and reuse to deliver better customer outcomes and growth. The role focuses on turning data into a reusable platform capability, enabling product teams to access core data assets, surface meaningful insights, and accelerate

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