Principal Data Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish the long-term vision for data as a key strategic product and platform capability.

• Recognize opportunities to enhance products and customer experiences through data utilization.

• Prioritize investments in data products, insights, analytics, recommendations, and analytical AI capabilities.

• Determine roadmap priorities that align the data strategy with business objectives.

• Outline reusable data capabilities that can be scaled across various products and experiences.

• Promote accessibility, governance, discoverability, and uniform business definitions for essential data assets.

• Create a standardized approach for modeling, measuring, and presenting data across the platform.

• Empower teams to leverage shared data assets instead of developing isolated solutions.

• Identify and rank opportunities for customer-oriented insights, recommendations, and analytical experiences.

• Integrate data-driven capabilities into current products.

• Assess and seek new data-driven product opportunities.

• Manage the roadmap for analytical AI capabilities that convert raw data into actionable decisions.

• Specify the data, measurement, and product requirements essential for AI-enhanced experiences and workflow automation.

• Influence how data enhances decision-making, automation, and customer outcomes.

• Transform emerging technology capabilities into tangible customer and business value.

• Ensure data operates as a reusable platform capability across various products and experiences.

• Guarantee that product teams can easily discover, access, and rely on core data assets.

• Incorporate data-driven insights and recommendations seamlessly within customer experiences.

• Align data investments directly with customer outcomes and business impact.

• Foster new opportunities for differentiation and growth through data initiatives.

• Maintain a clear strategy for data that encompasses analytics, recommendations, automation, and AI.

⛳️ Requirements

• Over 10 years in Product Management, with significant experience in data-centric, platform, analytics, or AI-driven products.

• Proven track record in defining, launching, and scaling products that leverage data, analytics, recommendations, or machine learning.

• Profound understanding of data collection, modeling, governance, measurement, and exposure through products and platforms.

• Strong grasp of the technical landscape in data engineering, analytics, machine learning, and software engineering.

• Skill in converting complex data capabilities into straightforward, valuable customer experiences.

• Experience in formulating product strategies in settings where data serves as a fundamental competitive edge.

• A systems thinker who recognizes reusable capabilities that can benefit multiple products.

• Comfortable navigating uncertainty and defining new product categories.

• Excellent communication, influence, and executive stakeholder management abilities.

• Background with data products, analytics platforms, recommendation systems, AI-driven experiences, or workflow automation.

• Familiarity with contemporary data platforms and concepts, including semantic layers, governance, APIs, data sharing, and AI/ML ecosystems.

• Relevant experience in fintech, payments, or other data-intensive, regulated sectors.

🏝️ Benefits

• Competitive salary and benefits package with options for growth-company stock grants.

• Dynamic and professional work environment.

• Stock options with standard startup vesting - 1-year cliff; 4 years total.

• Monthly communication expense stipend of $50 to assist with your phone/internet bill.

• $250 stipend to enhance your work-from-home setup.

• Reimbursement for peripheral equipment: monitor (up to $400), keyboard, and mouse (up to $200).

• Comprehensive 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 leave.

• 401k retirement plan.

• Flexible Time Off (team members typically take about 3-4 weeks off per year).

• Volunteer Time Off.

• 13 scheduled holidays.