Staff Product Manager, Data & Platform

As Staff Product Manager, Data & Platform, you will be the product lead for two established teams: Data, spanning ML, data science, analytics, and data engineering; and Engineering Enablement, which owns Kard’s internal developer platform and the infrastructure that moves data and supports reliable, real-time decisioning at scale. Together, these teams provide the intelligence and delivery foundations for Kard’s customer products.

This is one of Kard’s most senior individual-contributor roles. Working with business and customer-facing product leaders, you will discover, shape, validate, and measure bets, turn foundational technology into customer and commercial value, and coach others to raise the quality of product thinking.

• Set and communicate a coherent strategy for Kard’s data and platform capabilities, turning company direction into focused bets that balance new products with platform leverage.
• Lead collaborative shaping with engineering, data, and business partners through Kard’s Shape Up process; clarify outcomes, appetite, risks, evidence, and measures of success.
• Turn transaction data, ML, and platform capabilities into products and business opportunities, including consumer, merchant, and location intelligence; targeting; marketer insights; and new applications of transaction intelligence.
• Advance the intelligence behind Kard’s offer platform, including personalization, merchant and location understanding, contextual decisioning, experimentation, and lift measurement across batch and real-time systems.
• Define reusable capabilities for offer decisioning, delivery, matching, measurement, and partner integrations; partner with customer-facing PMs on product definitions and end-to-end outcomes.
• Treat Kard’s data and developer platforms as products: understand technical users, expand self-service, reduce friction, and measure business impact, quality, trust, reliability, and speed.

Desired Skills

• Experience leading technically complex data, ML, or platform products across multiple teams.
• A record of turning data or foundational technology into measurable customer and commercial value.
• Working fluency across several relevant domains—including data platforms, quality and governance, ML lifecycles, batch and real-time serving, APIs, cloud infrastructure, and developer platforms—and the ability to go deep without replacing engineering leadership.
• Fluency in experimentation and measurement, including A/B testing, lift or incrementality, and partnership with data scientists.