Product Manager Platform Experimentation

Position Overview

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. 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 while developing profitable products that provide significant customer value. Your expertise in product launch, rapid prototyping, and advanced statistical methods will drive high-quality products and robust experimentation tools at Chase.

Key Responsibilities

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

Required Qualifications

• 5+ years of experience or equivalent expertise in product management, data science, computer science, or a relevant field.
• Advanced knowledge of the product development life cycle, design, and data analytics.
• Proven ability to lead activities across discovery, ideation, strategic development, requirements definition, and value management.
• Practical coding ability (e.g., Python, scripting, etc.) to support prototyping, troubleshooting, and integration.
• Strong background in statistical methods for A/B testing.
• Proficiency in Python, SQL, and Snowflake, with the ability to create complex queries and analyses.
• Excellent problem-solving skills and keen attention to detail.
• Strong communication skills with the ability to explain complex analytical concepts to non-technical users.
• Demonstrated ability to work both independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• Prior experience working in highly matrixed and complex organizations.
• 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 methodologies like Contextual Multi-Armed Bandit (CMAB), Sequential Testing, and CUPED.

Benefits & Perks

• Competitive Compensation: Base salary determined by role, experience, skill set, and location.
• Performance-Based Incentives: Commission-based pay and discretionary incentive compensation, including cash or forfeitable equity awards.
• Comprehensive Health Care: Robust health care coverage and on-site health and wellness centers.
• Financial & Wellness Programs: Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.