Sr. Product Owner - AI
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Nov 2, 2026.
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