Principal Data Product Manager

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📋 Description

• 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.
• Data operates as a reusable platform capability across multiple products and experiences.
• Product teams consistently discover, access, and trust core data assets.
• Data-driven insights and recommendations are embedded within customer experiences.
• Data investments tie directly to customer outcomes and business impact.
• New opportunities for differentiation and growth emerge through data.
• The company has a clear strategy for data across analytics, recommendations, automation, and AI.

🎯 Requirements

• 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

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