PayNearMe
Principal Data Product Manager
RemoteUnited States only
- Role
- Product
- Experience
- Principal
- Company size
- Mid-size
$200k–$250k/yr
Check eligibility
Open to US only. Set where you work from to check your eligibility.
No BS summary
Principal Product Manager with 10+ years in product management, focused on data-intensive platform, analytics, recommendations, or AI-enabled products. Needs strong data/product strategy experience across data engineering, analytics, machine learning, governance, APIs, and customer-facing data capabilities. Fintech, payments, or regulated-industry experience is relevant.
Required skills
APIs
What you'll do
- Define how data powers products, customer experiences, analytics, recommendations, and analytical AI capabilities.
- Set the strategy, priorities, and roadmap for how data is captured, modeled, measured, exposed, and leveraged across the platform.
- Turn data into capabilities that improve customer outcomes, sharpen differentiation, and unlock new growth.
- Define how data becomes a reusable platform capability, powering better products, better customer experiences, and future innovation across PayNearMe.
- 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.
What they require
- 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.
- Naturally curious and energized by data.
- Finds patterns, connections, and opportunities within complex datasets.
- Equally fluent in customer problems, business strategy, and technical architecture.
- Sees data as a strategic product and platform capability, not a reporting function.
- Balances long-term platform thinking with practical execution.
- Connects data investments to customer value, differentiation, and business outcomes.
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
PayNearMe builds payment technology and its PayXM platform manages payment experiences for non-commerce businesses across cards, ACH, digital wallets and cash retail locations.
FintechMid-size
Details
Apply routeGreenhouse
$200k–$250k/yr