About the job Sr. Product Owner - AI
Sr Product Owner (any AI / agentic experience would be a plus) Responsibilities
- Provide innovation and the end-to-end launch of integrated solutions/products across multiple Agile Teams - Collaborate with Business Partners and Product Managers to co-develop a roadmap and drive products and features from concept to launch in a fast-paced environment across multiple Agile Teams - Work with senior stakeholders and customers across the organization to inform the product vision, strategy, features, and prioritization - Translate product roadmap features into well-defined product requirements including features, user stories, and acceptance test criteria across multiple products or complex solutions - Turn data insights into products with actionable outcomes to the ultimate customer - Oversee the design, construction, and implementation of integrated solutions ensuring functionality meets business requirements - Coach and mentor other Product Owners across multiple Agile Teams to build, refine, prioritize and maintain their Team backlogs - Review, approve, and drive iteration content by prioritizing user stories and accept user stories as complete - Define and prioritize solutions to complex issues and effectively communicate dependencies, risks, issues and cope for complex solutions - Coach and mentor Product Owners and Scrum Masters in the successful delivery of - Scrum ceremonies such as iteration planning, iteration reviews, and demos
Details from the Product Manager role we are hiring for this same team:
- Define and execute the Product Vision and long-term product roadmap for our agentic AI platform infrastructure, including multi-agent orchestration, workflow automation, and autonomous decision-making systems - Drive the successful implementation, adoption, and optimization of AWS Bedrock, LangChain/LangGraph, and other agentic frameworks for complex multi-agent workflows and task automation - Partner closely with AI/ML engineers, platform engineers, and data scientists to translate business requirements into technical specifications and development priorities
Sr Product Owner (any AI / agentic experience would be a plus) Responsibilities
- Provide innovation and the end-to-end launch of integrated solutions/products across multiple Agile Teams - Collaborate with Business Partners and Product Managers to co-develop a roadmap and drive products and features from concept to launch in a fast-paced environment across multiple Agile Teams - Work with senior stakeholders and customers across the organization to inform the product vision, strategy, features, and prioritization - Translate product roadmap features into well-defined product requirements including features, user stories, and acceptance test criteria across multiple products or complex solutions - Turn data insights into products with actionable outcomes to the ultimate customer - Oversee the design, construction, and implementation of integrated solutions ensuring functionality meets business requirements - Coach and mentor other Product Owners across multiple Agile Teams to build, refine, prioritize and maintain their Team backlogs - Review, approve, and drive iteration content by prioritizing user stories and accept user stories as complete - Define and prioritize solutions to complex issues and effectively communicate dependencies, risks, issues and cope for complex solutions - Coach and mentor Product Owners and Scrum Masters in the successful delivery of - Scrum ceremonies such as iteration planning, iteration reviews, and demos
Details from the Product Manager role we are hiring for this same team:
- Define and execute the Product Vision and long-term product roadmap for our agentic AI platform infrastructure, including multi-agent orchestration, workflow automation, and autonomous decision-making systems - Drive the successful implementation, adoption, and optimization of AWS Bedrock, LangChain/LangGraph, and other agentic frameworks for complex multi-agent workflows and task automation - Partner closely with AI/ML engineers, platform engineers, and data scientists to translate business requirements into technical specifications and development priorities