Lead Product Manager, Decisioning Platform

Description

The company has run payments and commerce for more than 25 years and operates in about 200 markets. Its two-sided network connects hundreds of millions of merchants and consumers, with proprietary payment solutions alongside third-party networks.

This role leads the data pillar of the risk decisioning platform, which makes real-time fraud, credit, and compliance decisions and handles very large signal volumes in milliseconds. The pillar covers how internal and external data reaches those decisions: vendor and identity integrations, upstream and downstream flows, analytical data, and governance.

You will work with engineering, data science, risk strategy, and governance teams. The role suits someone with a solid technical base in scaled data platforms and data engineering, and with reach across fraud, credit, and compliance.

Responsibilities

• Work with cross-functional partners to shape product strategy that fits the shared vision for the product or platform.
• Turn measurable outcomes into clear, grounded specifications, and own the strategy, roadmap, and delivery for the data pillar.
• Set the architecture roadmap so it balances design innovation and technical delivery against regulation, time to market, customer needs, and profitability.
• Keep the customer experience and customer needs central to product requirements and decisions.
• Track success metrics such as usability studies, research, and market analysis.
• Lead workstreams in analytics, customer discovery, market research, and competitive analysis to guide data-driven choices.
• Monitor product profitability, including budget.
• Take part in product reviews, operating reviews, and business reviews, and brief product and technology leaders as needed.
• Lead product reviews and steering committee updates as the subject matter expert.
• Work with content developers, data scientists, product designers, and UX researchers.

Requirements

• At least 5 years of relevant experience and a Bachelor's degree, or an equivalent mix of education and experience.
• Preferred: experience building or managing data platform products in decisioning, risk, or real-time scoring, including data integration, pipelines, or analytical data layers.
• Preferred: experience integrating external data vendors, such as identity, bureau, or alternative data, and managing upstream and downstream flows across streaming and batch systems.
• Preferred: working knowledge of data engineering practice and of data governance in regulated settings, including data contracts, quality SLAs, lineage, access controls, and privacy.
• Preferred: strong data judgment, including defining and reading data health and usage metrics, running analyses, and turning findings into product decisions.
• Preferred: experience delivering agile work at scale, including legacy pipeline migration, managing dependencies across teams, and running milestone-based roadmaps.

Conditions

Base pay depends on location, experience, and expertise. In San Jose, California, the range is $176,500.00 to $262,350.00 per year. In Chicago, Illinois, and Austin, Texas, the range is $160,500.00 to $238,700.00 per year.

Additional compensation may include an annual performance bonus, equity, or other incentives, where applicable.

Travel is about 10%.

Most employees work a hybrid schedule: 3 days in the office for in-person collaboration, and 2 days either in the office or at home, at their choice.

The company provides equal employment opportunity to all people regardless of protected characteristics, including citizenship status, and gives reasonable accommodations to qualified individuals with disabilities.

Benefits

• Choice-based programs covering physical, emotional, and financial wellbeing.
• Generous paid time off.
• Healthcare coverage for you and your family.
• Resources for financial security and mental health support.