Chase is looking to deliver innovative generative AI products and shape the future of AI/ML innovation, driving value for customers and ensuring successful product launches.
Requirements
- Proficient knowledge of the product development life cycle
- Experience in product life cycle activities including discovery and requirements definition
- Developing knowledge of data analytics and data literacy
- Work experience in GEN AI (Generative Artificial Intelligence), Machine Learning (ML), and AWS.
- Product management experience in data-driven environments.
- Knowledge of the product development life cycle, design, and data analytics.
- Proven ability to manage product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
Responsibilities
- Considers and plans for upstream and downstream implications of new product features on the overall product experience
- Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
- Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
- Writes the requirements, epics, and user stories to support product development
- Develops a product strategy and vision for generative AI that delivers value to customers.
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap.
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition.
Other
- 3+ years of experience or equivalent expertise in product management or a relevant domain area
- Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
- Builds the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability.
- Demonstrated prior experience working in a highly matrixed, complex organization.
- Strong understanding of market trends and customer needs in the AI/ML space
