Product Manager Platform Experimentation

Product Manager Platform Experimentation Job Description

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Technical Product Manager in Digital Channels – Experimentation, you are an integral part of the team that innovates new product offerings and leads the end‑to‑end product life cycle.

You act as the voice of the customer and develop profitable products that provide customer value, guide successful launches, gather crucial feedback, and ensure top‑tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross‑functional teams to deliver high‑quality products that exceed customer expectations.

• Develop a product strategy and vision that delivers value to customers.
• Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap.
• Own, maintain, and develop a product backlog that supports the overall strategic roadmap and value proposition.
• Build the framework and track the product’s key success metrics such as cost, feature and functionality, risk posture, and reliability.
• Act as the technical thought leader in advancing statistical methods and GenAI capabilities of the platform.
• Rapidly build prototypes of new features and concepts for the experimentation platform to enhance self‑serviceability using Python or similar languages.
• Debug, validate, and optimize statistical methods to ensure accuracy and reliability of experiment results.
• Triage production issues related to experimentation with partners to identify root cause.
• Collaborate with product, design, and engineering teams to refine technical requirements and scope.
• Stay current with best practices in experimentation, statistics, and analytics, and apply them to platform development.

• 5+ years of experience or equivalent expertise in product management, data science, computer science, or a relevant domain area.
• Advanced knowledge of the product development life cycle, design, and data analytics.
• Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
• Practical coding ability (e.g., Python, scripting) – able to read, understand, and write code to support prototyping, troubleshooting, and integration.
• Strong background in statistical methods for A/B testing.
• Strong proficiency in Python, SQL, Snowflake, with the ability to create complex queries and analyses.
• Excellent problem‑solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex analytics concepts to non‑technical users.
• Ability to work independently and collaboratively in a fast‑paced, dynamic environment.
• Proven ability to collaborate and achieve actionable results with cross‑functional teams.

• Demonstrated prior experience working in a highly matrixed, complex organization.
• Experience in bringing GenAI features to production at scale.
• Background in data science, data engineering, or software engineering.
• Experience in scaling platforms.
• Advanced statistical knowledge related to experimentation, including CMAB, Sequential Testing, CUPED, and other advanced methodologies.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary, commission‑based pay and/or discretionary incentive compensation, and a range of benefits and programs to meet employee needs.

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