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Salary: USD 160,000 - 190,000 / annual
Kard is building commerce media infrastructure that connects financial institutions, platforms, and merchants through data and merchant-funded rewards. As Staff Product Manager for Data & Platform, you will lead two established teams: Data (ML, data science, analytics, data engineering) and Engineering Enablement (internal developer platform and real-time decisioning infrastructure). This is a senior individual-contributor role focused on turning foundational technology into customer and commercial value.
Key responsibilities include setting and communicating strategy for Kard's data and platform capabilities, balancing new products with platform leverage. You will lead collaborative shaping with engineering, data, and business partners through Shape Up processes, clarifying outcomes, appetite, risks, and success measures. You'll turn transaction data, ML, and platform capabilities into products and business opportunities—including consumer, merchant, and location intelligence; targeting; marketer insights; and new transaction intelligence applications.
You will advance the intelligence behind Kard's offer platform, including personalization, merchant understanding, contextual decisioning, experimentation, and lift measurement across batch and real-time systems. You'll define reusable capabilities for offer decisioning, delivery, matching, measurement, and partner integrations, partnering with customer-facing PMs on 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.
Required experience includes leading technically complex data, ML, or platform products across multiple teams, with a track record of turning data or foundational technology into measurable customer and commercial value. You need working fluency across data platforms, quality and governance, ML lifecycles, batch and real-time serving, APIs, cloud infrastructure, and developer platforms. Fluency in experimentation and measurement (A/B testing, lift/incrementality, data science partnership) is essential. Strong discovery and shaping skills with technical users and business stakeholders, plus understanding of marketplace economics and marketer outcomes, are critical. You should have the influence and judgment to align executives, leaders, and individual contributors, challenge assumptions constructively, and commit to shared direction. Entrepreneurial judgment paired with durable thinking about scale, security, privacy, and compliance is expected. U.S. core business hours availability and willingness to travel for company meetings required.
