Note: The job is a remote job and is open to candidates in USA. PayNearMe is on a mission to simplify payments through innovative technology. As a Principal Data Product Manager, you will define the strategy and roadmap for leveraging data to enhance products and customer experiences, driving insights and analytics across the platform.
Responsibilities
- Define the long-term vision for data as a strategic product and platform capability
- Identify opportunities to improve products and customer experiences through data
- Prioritize investments across data products, insights, analytics, recommendations, and analytical AI capabilities
- Set roadmap priorities that keep data strategy aligned to business goals
- Define reusable data capabilities that scale across products and experiences
- Drive accessibility, governance, discoverability, and common business definitions for core data assets
- Establish a consistent approach for modeling, measuring, and exposing data across the platform
- Enable teams to build on shared data assets rather than one-off solutions
- Identify and prioritize opportunities for customer-facing insights, recommendations, and analytics experiences
- Embed data-driven capabilities into existing products
- Evaluate and pursue new data-driven product opportunities
- Own the roadmap for analytical AI capabilities that turn raw data into decisions
- Define the data, measurement, and product requirements behind AI-enabled experiences and workflow automation
- Shape how data improves decision-making, automation, and customer outcomes
- Translate emerging technology capabilities into real customer and business value
Skills
- 10+ years in Product Management, with substantial experience in data-intensive, platform, analytics, or AI-enabled products
- Track record defining, launching, and scaling products powered by data, analytics, recommendations, or machine learning
- Deep understanding of how data is collected, modeled, governed, measured, and exposed through products and platforms
- Command of the technical landscape across data engineering, analytics, machine learning, and software engineering
- Ability to translate complex data capabilities into simple, valuable customer experiences
- Experience defining product strategy in environments where data is a core competitive advantage
- Systems thinker who identifies reusable capabilities that benefit multiple products
- Comfortable navigating ambiguity and shaping new product categories
- Strong communication, influence, and executive stakeholder management skills
- Experience with data products, analytics platforms, recommendation systems, AI-powered experiences, or workflow automation
- Familiarity with modern data platforms and concepts such as semantic layers, governance, APIs, data sharing, and AI/ML ecosystems
- Experience in fintech, payments, or other data-rich, regulated industries
Benefits
- Competitive salary and benefits with growth-company options grant
- Fast- paced and professional work culture
- Stock options with standard startup vesting - 1 year cliff; 4 years total
- $50 monthly communication expense stipend to go towards your phone/internet bill
- $250 stipend to enhance your WFH setup
- Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200)
- Premium medical benefits including vision and dental (100% coverage for employees)
- Company-sponsored life and disability insurance
- Paid parental bonding leave
- Paid sick leave, jury duty, bereavement
- 401k plan
- Flexible Time Off (our team members typically take off ~3-4 weeks per year)
- Volunteer Time Off
- 13 scheduled holidays
Company Overview
Company H1B Sponsorship