AI/ML Product Manager for Distribution Strategy

About the position

Are you an innovative and strategic thinker with a passion for leveraging AI and machine learning to optimize distribution channels? We are looking for a talented AI/ML Product Manager for Distribution Strategy to lead the development of advanced segmentation and territory design for our sales and marketing teams. In this role, you will harness the power of predictive analytics to drive targeted and efficient distribution strategies. Join our team and play a pivotal role in transforming our distribution strategies through the power of AI and machine learning. If you are driven by innovation and have a knack for turning data into actionable insights, we want to hear from you!

Responsibilities

• Define and execute the product strategy for AI-driven distribution optimization, aligning with business objectives and market needs.
• Develop and refine customer segments using advanced AI/ML techniques to enhance targeting and personalization.
• Create and optimize coverage territories to improve the efficiency and effectiveness of sales and marketing efforts.
• Utilize predictive analytics to forecast trends, identify opportunities, and drive data-informed decision-making.
• Work closely with data scientists, engineers, sales, and marketing teams to ensure seamless integration and implementation of AI/ML solutions.
• Establish and monitor key performance indicators (KPIs) to measure the success and impact of distribution optimization initiatives.
• Stay abreast of industry trends, emerging technologies, and competitive landscape to inform product development and innovation.

Requirements

• 7+ years in product management or related roles, with a focus on AI/ML and distribution optimization.
• Strong understanding of machine learning algorithms, predictive modeling, and data analytics.
• Proven ability to lead cross-functional teams and manage complex projects.
• Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Bachelor's degree in a relevant field; a Master's degree or higher is preferred.

Nice-to-haves

• Experience working in agile environments and managing product development cycles.
• Proficiency in data analysis tools and programming languages such as Python, R, or SQL.
• Strong focus on creating user-friendly and intuitive solutions.
• Financial services industry experience.