Staff Product Manager, Data & Platform

🏢 Kard · all Kard jobs
📍 United States
💰 USD 160,000 - 190,000 / annual
📅 Posted 2026-09-03 · via Himalayas
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Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. As our reach expands, we are building for a step-change in scale, and for opportunities ranging from more relevant rewards and marketer intelligence to new commerce and distribution models.

About the Role

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.
Responsibilities

- 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.

- Strong discovery and shaping skills with technical users and business stakeholders, and the ability to validate needs directly with external customers.

- Understanding of marketplace economics and marketer outcomes, and how targeting, relevance, measurement, and incentives create value; direct adtech experience is not required.

- The influence and judgment to align executives, leaders, and ICs; challenge assumptions constructively; make tradeoffs explicit; and commit to shared direction.

- Entrepreneurial judgment paired with durable thinking about scale, security, privacy, and compliance.

- Commitment to fostering an inclusive work environment and actively contributing to team growth and cohesion.

- U.S. core business hours availability and willingness to travel for company meetings.

Bonus Points

- Experience in commerce media, card-linked offers, loyalty, fintech, adtech, or another transaction-intensive marketplace.

- Experience building marketer-facing insights, audience, measurement, or analytics products from f

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